spb/tools-spboucher-ai

added .github/workflows/ci.yml +29 −0

				@@ -0,0 +1,29 @@
		1	+# Reference workflow (the canonical remote is spbgit, which has no runner; scripts/ci.sh runs the same gates locally and on the node).
		2	+name: ci
		3	+on: [push, pull_request]
		4	+jobs:
		5	+ test:
		6	+ runs-on: ubuntu-latest
		7	+ services:
		8	+ postgres:
		9	+ image: pgvector/pgvector:pg17
		10	+ env: { POSTGRES_PASSWORD: ci, POSTGRES_DB: tools_spboucher_test }
		11	+ ports: ["5432:5432"]
		12	+ options: --health-cmd pg_isready --health-interval 5s --health-timeout 5s --health-retries 10
		13	+ env:
		14	+ DATABASE_URL: postgres://postgres:ci@localhost:5432/tools_spboucher_test
		15	+ DATABASE_URL_ADMIN: postgres://postgres:ci@localhost:5432/tools_spboucher_test
		16	+ TEST_DATABASE_URL: postgres://postgres:ci@localhost:5432/tools_spboucher_test
		17	+ SESSION_SECRET: ci-secret
		18	+ steps:
		19	+ - uses: actions/checkout@v4
		20	+ - uses: pnpm/action-setup@v4
		21	+ - uses: actions/setup-node@v4
		22	+ with: { node-version: 26, cache: pnpm }
		23	+ - run: pnpm install --frozen-lockfile
		24	+ - run: pnpm typecheck
		25	+ - run: pnpm content:validate
		26	+ - run: pnpm db:migrate
		27	+ - run: pnpm test
		28	+ - run: pnpm content:import --publish && pnpm eval:ranking
		29	+ - run: pnpm audit --prod --audit-level high || true

added .gitignore +16 −0

				@@ -0,0 +1,16 @@
		1	+node_modules/
		2	+.next/
		3	+out/
		4	+.env
		5	+.env.*
		6	+!.env.example
		7	+backups/
		8	+exports/*.json
		9	+exports/*.csv
		10	+!exports/.gitkeep
		11	+test-results/
		12	+playwright-report/
		13	+tsconfig.tsbuildinfo
		14	+.DS_Store
		15	+*.log
		16	+docs/_agent-brief.md

added AGENTS.md +9 −0

				@@ -0,0 +1,9 @@
		1	+<!-- BEGIN:nextjs-agent-rules -->
		2	+
		3	+## This is NOT the Next.js you know
		4	+
		5	+This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` (resolved from this file's directory; in monorepos the `next` package may not be visible from the repo root) before writing any code. Heed deprecation notices.
		6	+
		7	+This block is written and re-added by `next dev` — verify at `node_modules/next/dist/server/lib/generate-agent-files.js`. Removing it from a diff only re-creates the uncommitted change; committing it with your work keeps the tree clean.
		8	+
		9	+<!-- END:nextjs-agent-rules -->

added CLAUDE.md +18 −0

				@@ -0,0 +1,18 @@
		1	+# CLAUDE.md — tools.spboucher.ai
		2	+
		3	+Curated encyclopedia of tools (public) + owner inventory (private). Stack: Next.js 16 App Router, React 19, Tailwind 4, PostgreSQL 17, Drizzle (snake_case casing), postgres-js, Vitest, Playwright. Port 8540.
		4	+
		5	+## Non-negotiables
		6	+- **Public ≠ private at the DB layer.** Public code uses `sqlPublic` (role `tools_reader`, SELECT on `public_tools` view only). Never import `sql`/`db` from `src/db` into anything under `src/lib/public` or public routes. Owner tables (`owner_notes`, `projects`) are never joined into public queries.
		7	+- **Every admin mutation** goes through `requireUser(req)` (session + MFA + same-origin + `x-csrf-token`) and writes `audit_log` (+ `tool_revisions` for records). Never add client-only protection.
		8	+- **Evidence rules** (`docs/editorial-guide.md`, `docs/source-policy.md`): no prices, no certifications without a policy source, no benchmark claims, no copied vendor text, `checked_at` only for pages actually loaded. Run `pnpm content:validate` after editing `content/`.
		9	+- **Outbound HTTP only via `safeFetch`** (SSRF guard). Fetched text is untrusted; AI output must be zod-validated and never auto-saved.
		10	+- **Secrets** only in `.env` on the node (600) and `~/Desktop/Cluster/secrets/tools-spboucher-ai/`. Never in git, manifests, logs or chat.
		11	+- **Migrations**: add a new `drizzle/NNNN_*.sql`; never edit applied files (checksums). Mirror changes in `src/db/schema.ts`. Recreating the `public_tools` view requires re-granting to `tools_reader`.
		12	+- Drizzle hijacks postgres-js serializers → the raw `sql` clients use their own pools (see `src/db/index.ts`). Use `sql.json(x)` for jsonb params.
		13	+
		14	+## Workflow
		15	+`pnpm typecheck && pnpm test && pnpm content:validate` before committing. E2E/a11y/security scripts need a running server (`pnpm dev` or production). Remote-first after deploy: edit on `M2M32c:~/apps/tools-spboucher-ai`, `pnpm build && pm2 restart tools-web tools-worker`, commit/push there (`docs/deployment.md`).
		16	+
		17	+## Content authoring
		18	+One JSON per tool in `content/tools/<slug>.json` matching `src/lib/content/schema.ts`; deep records 100–300 words, ≥3 sources, ≥2 alternatives, comparison notes. Categories are leaf slugs from `content/categories.json`; alternatives are existing slugs. Private records → `content/private/` with `visibility: private`. Owner relevance → `content/owner/relevance.json`.

added README.md +51 −0

				@@ -0,0 +1,51 @@
		1	+# tools.spboucher.ai — Tool Atlas
		2	+
		3	+A curated, source-cited encyclopedia of software, AI systems, APIs, data platforms, developer tools and academic tools, with a private owner inventory. Next.js 16 · React 19 · Tailwind 4 · PostgreSQL 17 (full-text + trigram + optional pgvector) · Drizzle · TypeScript. Hosted on MacLustr (node M2M32c) behind the MacLustr Tunnel.
		4	+
		5	+**Live:** https://tools.spboucher.ai · **Admin:** https://tools.spboucher.ai/admin (owner only)
		6	+
		7	+## Product
		8	+- Public: homepage, directory with hybrid search (lexical + typo tolerance, optional semantic), faceted filters with shareable URLs, tool pages with evidence/sources/link verification, categories (8 → 66), collections, side-by-side compare (2–5), error reports, SEO (SSR, sitemap, JSON-LD), WCAG 2.2 AA target, dark/light.
		9	+- Owner/admin: passkeys + TOTP, record editor (form or raw JSON), review queue (reviewed records, automated flags, reports), duplicate merge, bulk CSV/JSON import, role-scoped export, link-integrity dashboard, job queue & crawler schedule, owner dashboard (active/testing/candidate/archived/rejected, projects, private notes & deployment links), audit log, sessions.
		10	+- Pipeline: content files → validator → import (idempotent, revisions) → publish gate → worker (link checks, source rescans, freshness flags, embeddings, encrypted backups).
		11	+
		12	+## Repository layout
		13	+```
		14	+content/ seed content: categories.json, tools/*.json (public), private/*.json, collections/*.json, owner/*.json
		15	+drizzle/ SQL migrations (source of truth), applied by scripts/migrate.ts
		16	+src/app Next.js routes: (public), (auth)/login, admin, api
		17	+src/lib/public read-only queries (tools_reader role) src/lib/admin editorial mutations
		18	+src/lib/content zod schema + import src/lib/jobs queue, handlers, backup
		19	+src/lib/auth sessions, passwords, guards, limiter src/lib/ai provider adapter (optional)
		20	+src/worker background worker scripts/ ops & audits
		21	+tests/unit, tests/integration (vitest) · tests/e2e (Playwright) · docs/ · infra/mld (manifest)
		22	+```
		23	+
		24	+## Local development
		25	+```bash
		26	+pnpm install
		27	+createdb tools_spboucher_dev && createdb tools_spboucher_test
		28	+cp .env.example .env # fill DATABASE_URL_ADMIN=postgres://localhost:5432/tools_spboucher_dev, then:
		29	+DATABASE_URL_ADMIN=postgres://localhost:5432/tools_spboucher_dev pnpm db:roles # prints role passwords → put in .env
		30	+pnpm db:migrate && pnpm content:validate && pnpm content:import --publish && pnpm bootstrap
		31	+pnpm dev # http://localhost:8540 ; worker: pnpm worker
		32	+```
		33	+Requires PostgreSQL 17 with `pg_trgm`, `unaccent`, `pgcrypto` (bundled) and optionally `vector` (pgvector).
		34	+
		35	+## Commands
		36	+| | |
		37	+|---|---|
		38	+| `pnpm content:validate` | schema + editorial rules over `content/` |
		39	+| `pnpm content:import [--publish] [--force] [slug…]` | deterministic upsert |
		40	+| `pnpm content:export` | `exports/tools-public.{json,csv}` |
		41	+| `pnpm links:check [--sample N]` | synchronous link audit |
		42	+| `pnpm worker` | background jobs |
		43	+| `pnpm backup` / `pnpm restore:drill` | encrypted dump / restore into a temp DB and compare |
		44	+| `pnpm test` · `pnpm test:e2e` · `pnpm test:a11y` · `pnpm test:security` · `pnpm eval:ranking` | quality gates |
		45	+| `scripts/ci.sh` | everything above in order (used before each release) |
		46	+
		47	+## Production
		48	+See `docs/deployment.md` (mld manifest, node prep, release, rollback, backups) and `docs/security.md`. Remote-first: after the first deploy the node directory `M2M32c:~/apps/tools-spboucher-ai` is the canonical git clone (origin spbgit).
		49	+
		50	+## Documentation
		51	+`docs/discovery.md` · `data-model.md` · `taxonomy.md` · `source-policy.md` · `ingestion.md` · `security.md` · `deployment.md` · `verification.md` · `editorial-guide.md` · `roadmap.md`

added content/categories.json +89 −0

				@@ -0,0 +1,89 @@
		1	+[
		2	+ {"slug":"ai","name":"Artificial Intelligence","description":"Models, assistants, inference engines, agent frameworks and the tooling around them.","children":[
		3	+ {"slug":"ai-assistants","name":"AI assistants & chat","description":"End-user conversational assistants and chat products."},
		4	+ {"slug":"model-providers","name":"Model providers & APIs","description":"Hosted foundation-model APIs and developer platforms."},
		5	+ {"slug":"local-inference","name":"Local LLM inference & serving","description":"Running and serving models on your own hardware."},
		6	+ {"slug":"model-training","name":"Training & fine-tuning","description":"Libraries and services for training, fine-tuning and distributing models."},
		7	+ {"slug":"agent-frameworks","name":"Agent frameworks & orchestration","description":"Frameworks for building tool-using, multi-step LLM applications and agents."},
		8	+ {"slug":"coding-agents","name":"Coding agents & AI IDEs","description":"AI pair programmers, autonomous coding agents and AI-native editors."},
		9	+ {"slug":"llm-ops","name":"Prompting, evaluation & observability","description":"Prompt management, evaluation harnesses, tracing and LLM observability."},
		10	+ {"slug":"embeddings-vector-search","name":"Embeddings, reranking & retrieval","description":"Embedding models, rerankers and retrieval building blocks."},
		11	+ {"slug":"speech-vision-multimodal","name":"Voice, vision & multimodal AI","description":"Speech, image, video and multimodal models and tools."}
		12	+ ]},
		13	+ {"slug":"software-development","name":"Software development","description":"Languages, editors, terminals, version control, CI/CD, testing and documentation.","children":[
		14	+ {"slug":"programming-languages","name":"Programming languages & runtimes","description":"Languages, runtimes and package managers."},
		15	+ {"slug":"ide-editors","name":"IDEs & editors","description":"Integrated development environments and code editors."},
		16	+ {"slug":"terminals-shells","name":"Terminals & shells","description":"Terminal emulators, shells, multiplexers and prompt tooling."},
		17	+ {"slug":"version-control","name":"Version control & code hosting","description":"Git tooling and code-hosting forges."},
		18	+ {"slug":"ci-cd","name":"CI/CD & build automation","description":"Continuous integration, delivery and build systems."},
		19	+ {"slug":"testing-qa","name":"Testing & QA","description":"Unit, integration, end-to-end and accessibility testing tools."},
		20	+ {"slug":"documentation","name":"Documentation tooling","description":"Static site generators and documentation systems for software."},
		21	+ {"slug":"api-development","name":"API development & tooling","description":"Frameworks, specification tools and clients for building and consuming APIs."},
		22	+ {"slug":"web-frameworks","name":"Web frameworks & UI","description":"Front-end and full-stack web frameworks, styling and component systems."}
		23	+ ]},
		24	+ {"slug":"infrastructure","name":"Infrastructure & operations","description":"Containers, provisioning, networking, security, identity and backup.","children":[
		25	+ {"slug":"containers-virtualization","name":"Containers & virtualization","description":"Container runtimes, orchestration and virtual machines."},
		26	+ {"slug":"infrastructure-provisioning","name":"Infrastructure & provisioning","description":"Infrastructure-as-code, configuration management and process supervision."},
		27	+ {"slug":"reverse-proxies-web-servers","name":"Reverse proxies & web servers","description":"HTTP servers, reverse proxies and TLS automation."},
		28	+ {"slug":"dns-domains","name":"DNS & domains","description":"Registrars, DNS providers and certificate authorities."},
		29	+ {"slug":"tunneling-remote-access","name":"Tunneling & remote access","description":"VPNs, overlay networks, tunnels and remote shells."},
		30	+ {"slug":"monitoring-observability","name":"Monitoring & observability","description":"Metrics, logs, traces, uptime and alerting."},
		31	+ {"slug":"security-tools","name":"Security tools","description":"Scanners, hardening and application-security tooling."},
		32	+ {"slug":"identity-access","name":"Identity & access","description":"Authentication, authorization, passkeys and SSO."},
		33	+ {"slug":"secrets-management","name":"Secrets management","description":"Vaults, key management and secret distribution."},
		34	+ {"slug":"backup-recovery","name":"Backup & recovery","description":"Backup, snapshot and restore tooling."},
		35	+ {"slug":"cloud-hosting","name":"Cloud & hosting providers","description":"Cloud platforms, dedicated servers and hosting services."}
		36	+ ]},
		37	+ {"slug":"apple","name":"Apple platforms & Apple Silicon","description":"macOS automation, Apple Silicon machine learning, Swift and distributed Mac computing.","children":[
		38	+ {"slug":"macos-automation","name":"macOS automation","description":"Scripting, scheduling and automation on macOS."},
		39	+ {"slug":"apple-silicon-ml","name":"Apple Silicon ML & MLX","description":"Machine-learning frameworks and runtimes optimised for Apple Silicon."},
		40	+ {"slug":"swift-development","name":"Swift & SwiftUI development","description":"Swift language, SwiftUI and Apple developer tooling."},
		41	+ {"slug":"macos-utilities","name":"macOS system utilities","description":"System tools, package managers and utilities for macOS."},
		42	+ {"slug":"distributed-computing","name":"Distributed & parallel computing","description":"Frameworks and schedulers for distributing work across machines."}
		43	+ ]},
		44	+ {"slug":"data","name":"Data engineering & databases","description":"Collecting, moving, storing, querying, visualising and validating data.","children":[
		45	+ {"slug":"data-collection-crawling","name":"Data collection & crawling","description":"Crawlers, scrapers, browser automation and extraction services."},
		46	+ {"slug":"search-apis","name":"Search & web-data APIs","description":"Web search, news and answer APIs for applications and agents."},
		47	+ {"slug":"web-archiving","name":"Web archiving","description":"Capturing, preserving and replaying web content."},
		48	+ {"slug":"etl-elt","name":"ETL/ELT & orchestration","description":"Pipelines, transformations and workflow orchestration."},
		49	+ {"slug":"messaging-queues","name":"Messaging & queues","description":"Message brokers, streaming platforms and job queues."},
		50	+ {"slug":"relational-databases","name":"Relational databases","description":"SQL databases and their extensions."},
		51	+ {"slug":"nosql-databases","name":"NoSQL & key-value stores","description":"Document, key-value, graph and wide-column stores."},
		52	+ {"slug":"vector-databases","name":"Vector databases","description":"Purpose-built vector stores and similarity search engines."},
		53	+ {"slug":"analytics-engines","name":"Analytical engines & OLAP","description":"Columnar engines, query engines and in-process analytics."},
		54	+ {"slug":"dataframes-arrays","name":"DataFrames & array computing","description":"In-memory tabular and array libraries."},
		55	+ {"slug":"bi-dashboards","name":"BI & dashboards","description":"Business-intelligence and dashboarding platforms."},
		56	+ {"slug":"notebooks","name":"Notebooks & interactive computing","description":"Computational notebooks and literate programming environments."},
		57	+ {"slug":"data-catalogs","name":"Data catalogs & formats","description":"Catalogs, table formats and metadata management."},
		58	+ {"slug":"data-visualization","name":"Data visualization","description":"Charting and visualization libraries and tools."},
		59	+ {"slug":"data-quality","name":"Data quality & validation","description":"Schema validation, testing and quality monitoring for data."}
		60	+ ]},
		61	+ {"slug":"research","name":"Academic research","description":"Discovery, writing, typesetting, statistics, econometrics and financial research data.","children":[
		62	+ {"slug":"academic-discovery","name":"Literature discovery & review","description":"Scholarly search engines, graphs and review assistants."},
		63	+ {"slug":"citation-management","name":"Citation management","description":"Reference managers and bibliography tooling."},
		64	+ {"slug":"latex-typesetting","name":"LaTeX & typesetting","description":"TeX distributions, editors and document converters."},
		65	+ {"slug":"academic-writing","name":"Academic writing & publishing","description":"Writing environments, reproducible documents and manuscript tooling."},
		66	+ {"slug":"math-stats-tools","name":"Mathematical & statistical computing","description":"Statistical languages, environments and numerical libraries."},
		67	+ {"slug":"reproducibility","name":"Reproducibility & research software","description":"Environments, registries and tooling for reproducible research."},
		68	+ {"slug":"econometrics-causal-inference","name":"Econometrics & causal inference","description":"Econometric and causal-inference libraries and packages."},
		69	+ {"slug":"hf-finance-research","name":"High-frequency financial analysis","description":"Intraday data handling, microstructure and time-series tooling."},
		70	+ {"slug":"market-data-apis","name":"Market & fundamentals data","description":"Price, fundamentals and macroeconomic data providers."},
		71	+ {"slug":"sec-filings","name":"SEC/EDGAR & corporate filings","description":"Regulatory filings access and parsing."},
		72	+ {"slug":"research-dissemination","name":"Research dissemination","description":"Preprint servers, repositories and identifiers."}
		73	+ ]},
		74	+ {"slug":"finance-business","name":"Finance, real estate & business","description":"Investing, portfolios, property valuation, GIS, construction and business systems.","children":[
		75	+ {"slug":"financial-analysis-investing","name":"Financial analysis & investing","description":"Analysis platforms, backtesting and quantitative finance libraries."},
		76	+ {"slug":"portfolio-management","name":"Portfolio & wealth management","description":"Portfolio tracking, optimisation and risk."},
		77	+ {"slug":"real-estate-valuation","name":"Real estate valuation & property data","description":"Appraisal, hedonic modelling, listings and property registries."},
		78	+ {"slug":"gis-mapping","name":"GIS & mapping","description":"Geographic information systems, map data and geospatial libraries."},
		79	+ {"slug":"construction-estimating","name":"Construction estimating & quantity surveying","description":"Cost databases, takeoff and estimating software."},
		80	+ {"slug":"open-public-data","name":"Open & public data","description":"Government statistics, open-data portals and public datasets."},
		81	+ {"slug":"crm-business","name":"CRM & business operations","description":"Customer relationship, invoicing and operations tooling."}
		82	+ ]},
		83	+ {"slug":"productivity","name":"Productivity & knowledge","description":"Notes, knowledge management, design and collaboration.","children":[
		84	+ {"slug":"productivity-suites","name":"Productivity suites & task management","description":"Office suites, calendars, tasks and automation."},
		85	+ {"slug":"knowledge-management","name":"Personal knowledge management","description":"Note-taking and knowledge-graph tools."},
		86	+ {"slug":"design-prototyping","name":"Design & prototyping","description":"UI design, diagramming and prototyping."},
		87	+ {"slug":"collaboration-communication","name":"Collaboration & communication","description":"Chat, video and team collaboration."}
		88	+ ]}
		89	+]

added content/collections/academic-writing.json +18 −0

				@@ -0,0 +1,18 @@
		1	+{"slug":"academic-writing","title":"Academic Writing","published":true,
		2	+ "description":"From literature search to a submitted manuscript: discovery engines, a reference manager, a TeX distribution and editor, reproducible-document tooling, converters for the Word-only journal, and the identifiers and repositories that make the output citable.",
		3	+ "items":[
		4	+ {"tool":"openalex","blurb":"Open scholarly graph with a free API; a good first stop for systematic searches."},
		5	+ {"tool":"semantic-scholar","blurb":"AI-assisted paper discovery, citation contexts and an API."},
		6	+ {"tool":"google-scholar","blurb":"Broad coverage and citation counts, with no API."},
		7	+ {"tool":"zotero","blurb":"Free reference manager with browser capture, PDF annotation and BibTeX/Better BibTeX export."},
		8	+ {"tool":"tex-live","blurb":"The full TeX distribution; the baseline for any LaTeX workflow."},
		9	+ {"tool":"overleaf","blurb":"Collaborative online LaTeX editing with track changes and journal templates."},
		10	+ {"tool":"biblatex","blurb":"Modern bibliography handling for LaTeX with Biber."},
		11	+ {"tool":"quarto","blurb":"Reproducible documents mixing prose with Python, R or Julia code; renders to PDF, HTML and Word."},
		12	+ {"tool":"pandoc","blurb":"The universal converter; turns LaTeX into Word when a journal insists."},
		13	+ {"tool":"typst","blurb":"A fast, modern typesetting system worth watching as an alternative to LaTeX."},
		14	+ {"tool":"ssrn","blurb":"Working-paper distribution in economics, finance and law."},
		15	+ {"tool":"arxiv","blurb":"Preprints for quantitative fields."},
		16	+ {"tool":"orcid","blurb":"A persistent researcher identifier required by most publishers."},
		17	+ {"tool":"zenodo","blurb":"DOIs for datasets, code and supplementary material."}
		18	+ ]}

added content/collections/apple-silicon-ai.json +14 −0

				@@ -0,0 +1,14 @@
		1	+{"slug":"apple-silicon-ai","title":"Apple Silicon AI","published":true,
		2	+ "description":"Running and serving language, speech and vision models on Macs with M-series chips, from the array framework up to the applications that wrap it. Useful for anyone building a local or cluster-based inference setup on macOS rather than renting GPUs.",
		3	+ "items":[
		4	+ {"tool":"mlx","blurb":"Apple's array framework with unified-memory semantics; the foundation for most native Apple Silicon ML work."},
		5	+ {"tool":"mlx-lm","blurb":"Generation, quantization and fine-tuning of language models on top of MLX, with Hugging Face Hub integration."},
		6	+ {"tool":"mlx-whisper","blurb":"Speech-to-text with Whisper models ported to MLX; practical for transcribing lectures and meetings locally."},
		7	+ {"tool":"llama-cpp","blurb":"Portable C/C++ inference with Metal acceleration and the GGUF format; the other mature path for local LLMs on a Mac."},
		8	+ {"tool":"ollama","blurb":"The simplest way to pull and serve open models locally behind an HTTP API."},
		9	+ {"tool":"lm-studio","blurb":"Desktop application for discovering, downloading and chatting with local models."},
		10	+ {"tool":"core-ml","blurb":"Apple's on-device inference framework for shipping models inside macOS and iOS apps."},
		11	+ {"tool":"apple-foundation-models","blurb":"The system language model exposed to Swift apps on Apple platforms."},
		12	+ {"tool":"hugging-face-hub","blurb":"Where the model weights come from; MLX and GGUF conversions are published there."},
		13	+ {"tool":"exo","blurb":"Experimental distributed inference across several Apple devices."}
		14	+ ]}

added content/collections/evidence-based-llm-development.json +17 −0

				@@ -0,0 +1,17 @@
		1	+{"slug":"evidence-based-llm-development","title":"Evidence-Based LLM Development","published":true,
		2	+ "description":"Building LLM applications that can be measured: model APIs, retrieval components, and the evaluation and observability layer that turns prompt tinkering into something closer to engineering.",
		3	+ "items":[
		4	+ {"tool":"claude-developer-platform","blurb":"Anthropic's API and developer tooling."},
		5	+ {"tool":"openai-platform","blurb":"OpenAI's API and developer platform."},
		6	+ {"tool":"openrouter","blurb":"Many providers behind one API, useful for model comparisons."},
		7	+ {"tool":"sentence-transformers","blurb":"Embedding and reranking models you can run yourself."},
		8	+ {"tool":"voyage-ai","blurb":"Hosted embeddings and rerankers."},
		9	+ {"tool":"pgvector","blurb":"Vector similarity inside PostgreSQL, often enough instead of a separate store."},
		10	+ {"tool":"qdrant","blurb":"Dedicated vector database when filtering and scale demand it."},
		11	+ {"tool":"ragas","blurb":"Metrics for retrieval-augmented generation pipelines."},
		12	+ {"tool":"promptfoo","blurb":"Declarative test suites for prompts, models and agents."},
		13	+ {"tool":"langfuse","blurb":"Tracing, datasets and evaluations, self-hostable."},
		14	+ {"tool":"braintrust","blurb":"Hosted evaluation and logging platform."},
		15	+ {"tool":"dspy","blurb":"Programmatic prompt optimization against a metric."},
		16	+ {"tool":"instructor","blurb":"Structured, validated outputs from any model."}
		17	+ ]}

added content/collections/high-frequency-finance-research.json +17 −0

				@@ -0,0 +1,17 @@
		1	+{"slug":"high-frequency-finance-research","title":"High-Frequency Finance Research","published":true,
		2	+ "description":"A working stack for intraday market-microstructure and asset-pricing research: where the minute bars and fundamentals come from, how to store tens of billions of rows on one machine, and which libraries carry the econometrics. Assembled from tools used in academic finance work rather than trading.",
		3	+ "items":[
		4	+ {"tool":"firstrate-data","blurb":"Bulk intraday bars and fundamentals for US equities, ETFs, futures and FX; the primary raw input."},
		5	+ {"tool":"databento","blurb":"Normalized tick and order-book data with point-in-time symbology for exchange-level research."},
		6	+ {"tool":"polygon-io","blurb":"REST and streaming market data with a developer-friendly API."},
		7	+ {"tool":"sec-edgar","blurb":"Filings, XBRL facts and full-text search from the SEC's own public APIs."},
		8	+ {"tool":"fred","blurb":"Macro series from the St. Louis Fed for event studies and controls."},
		9	+ {"tool":"apache-parquet","blurb":"The columnar on-disk format for a multi-terabyte bar archive."},
		10	+ {"tool":"duckdb","blurb":"Query a Parquet lake with SQL from a notebook without a database server."},
		11	+ {"tool":"polars","blurb":"Fast DataFrame transformations over Arrow memory for resampling and feature construction."},
		12	+ {"tool":"clickhouse","blurb":"When a single node is not enough: a columnar server for tick-level aggregations."},
		13	+ {"tool":"arch","blurb":"Volatility models and bootstrap methods for realized-variance work."},
		14	+ {"tool":"statsmodels","blurb":"Regression, time-series and robust inference in Python."},
		15	+ {"tool":"linearmodels","blurb":"Panel, IV and asset-pricing (Fama–MacBeth) estimators missing from statsmodels."},
		16	+ {"tool":"jupyter","blurb":"The notebook environment that ties the exploration together."}
		17	+ ]}

added content/collections/macos-developer-workstation.json +18 −0

				@@ -0,0 +1,18 @@
		1	+{"slug":"macos-developer-workstation","title":"macOS Developer Workstation","published":true,
		2	+ "description":"A pragmatic setup for software and data work on a Mac: package management, a terminal and shell prompt, editors, version control, container runtime, automation and launcher utilities. Nothing exotic, everything maintained.",
		3	+ "items":[
		4	+ {"tool":"homebrew","blurb":"Package manager for everything that is not an app bundle."},
		5	+ {"tool":"ghostty","blurb":"Fast native terminal emulator."},
		6	+ {"tool":"tmux","blurb":"Persistent terminal sessions, especially over SSH."},
		7	+ {"tool":"starship","blurb":"Informative, fast shell prompt."},
		8	+ {"tool":"vs-code","blurb":"The default editor for most languages, with a large extension ecosystem."},
		9	+ {"tool":"zed","blurb":"A lighter, native editor with built-in collaboration and AI features."},
		10	+ {"tool":"xcode","blurb":"Required for Apple-platform builds and for the command-line developer tools."},
		11	+ {"tool":"git","blurb":"Version control."},
		12	+ {"tool":"orbstack","blurb":"Lightweight Docker and Linux VMs on Apple Silicon."},
		13	+ {"tool":"uv","blurb":"Python environments and packages, fast and reproducible."},
		14	+ {"tool":"raycast","blurb":"Launcher and command palette for the whole system."},
		15	+ {"tool":"hammerspoon","blurb":"Lua-scriptable window and system automation."},
		16	+ {"tool":"launchd","blurb":"The system's own scheduler for agents and daemons."},
		17	+ {"tool":"1password","blurb":"Credentials, SSH keys and the SSH agent."}
		18	+ ]}

added content/collections/real-estate-valuation-stack.json +17 −0

				@@ -0,0 +1,17 @@
		1	+{"slug":"real-estate-valuation-stack","title":"Real Estate Valuation Stack","published":true,
		2	+ "description":"Tools for appraisal and property-market research in Québec and beyond: public registries and assessment rolls, listing portals, spatial analysis, cost data for the cost approach, and the statistical libraries behind hedonic and comparable-sales models.",
		3	+ "items":[
		4	+ {"tool":"role-evaluation-fonciere-quebec","blurb":"Municipal assessment rolls, the backbone of mass-appraisal datasets in Québec."},
		5	+ {"tool":"registre-foncier-quebec","blurb":"Deeds, mortgages and transfer prices from the provincial land register."},
		6	+ {"tool":"centris","blurb":"Listing portal of Québec real-estate brokers; the reference for asking prices."},
		7	+ {"tool":"realtor-ca","blurb":"The Canada-wide MLS listing portal."},
		8	+ {"tool":"qgis","blurb":"Desktop GIS for neighbourhood delineation, buffers and map output."},
		9	+ {"tool":"postgis","blurb":"Spatial SQL for joining sales to parcels, zones and distances."},
		10	+ {"tool":"openstreetmap","blurb":"Open map data for amenities, roads and footprints."},
		11	+ {"tool":"geopandas","blurb":"Spatial DataFrames for Python-based modelling."},
		12	+ {"tool":"rsmeans-data","blurb":"Construction cost data for the cost approach and depreciation analysis."},
		13	+ {"tool":"statistics-canada","blurb":"Census and housing statistics at the dissemination-area level."},
		14	+ {"tool":"statsmodels","blurb":"Hedonic regressions with robust standard errors."},
		15	+ {"tool":"scikit-learn","blurb":"Machine-learning baselines and cross-validation for automated valuation models."},
		16	+ {"tool":"duckdb","blurb":"Fast local SQL over years of transactions exported to Parquet."}
		17	+ ]}

added content/collections/self-hosted-agent-infrastructure.json +18 −0

				@@ -0,0 +1,18 @@
		1	+{"slug":"self-hosted-agent-infrastructure","title":"Self-Hosted Agent Infrastructure","published":true,
		2	+ "description":"Running LLM agents on hardware you control: a coding agent, the protocol that connects it to tools, frameworks for multi-step workflows, local or hosted model access through one interface, observability, and the plumbing (process supervision, reverse proxy, tunnel, secrets) that keeps it reachable and safe.",
		3	+ "items":[
		4	+ {"tool":"claude-code","blurb":"Terminal-native coding agent that reads a repository, runs commands and edits files under instruction."},
		5	+ {"tool":"model-context-protocol","blurb":"Open standard for exposing tools and data to agents; servers can run locally on the same machine."},
		6	+ {"tool":"langgraph","blurb":"Graph-based orchestration for stateful, resumable agent workflows."},
		7	+ {"tool":"pydantic-ai","blurb":"Typed, minimal agent framework for Python with structured outputs."},
		8	+ {"tool":"litellm","blurb":"One OpenAI-compatible interface in front of hosted and local models, with budgets and keys."},
		9	+ {"tool":"ollama","blurb":"Local model serving for the parts of a workflow that should not leave the machine."},
		10	+ {"tool":"vllm","blurb":"High-throughput serving when a GPU server is available."},
		11	+ {"tool":"langfuse","blurb":"Self-hostable tracing, evaluation and cost tracking for LLM applications."},
		12	+ {"tool":"promptfoo","blurb":"Test prompts and agents like code, in CI."},
		13	+ {"tool":"pm2","blurb":"Keeps long-running Node processes and workers alive."},
		14	+ {"tool":"caddy","blurb":"Reverse proxy with automatic HTTPS in front of every service."},
		15	+ {"tool":"wireguard","blurb":"The tunnel between a public gateway and private machines."},
		16	+ {"tool":"tailscale","blurb":"Zero-configuration mesh networking when WireGuard by hand is too much."},
		17	+ {"tool":"1password","blurb":"Secrets and API keys kept out of configuration files and prompts."}
		18	+ ]}

added content/owner/projects.json +9 −0

				@@ -0,0 +1,9 @@
		1	+[
		2	+ {"slug":"maclustr","name":"MacLustr","description":"Heterogeneous Apple Silicon cluster (29 Macs) with an OVH gateway, WireGuard tunnel and PM2-based app dispatch."},
		3	+ {"slug":"uqo-teaching","name":"UQO teaching","description":"Real-estate appraisal courses (IMM1003, IMM1033): course sites, evaluation platform, exams and grading."},
		4	+ {"slug":"research-papers","name":"Research working papers","description":"UQO working-paper series: econometrics, housing, AI, high-frequency finance."},
		5	+ {"slug":"groupe-ka","name":"Groupe Ka","description":"Family of Québec consumer data platforms (housing, cars, food, jobs, events)."},
		6	+ {"slug":"findata","name":"FinData OS","description":"Private FirstRate Data lakehouse (Parquet + DuckDB + Postgres) for intraday research."},
		7	+ {"slug":"spboucher-ai-apps","name":"spboucher.ai applications","description":"Personal platforms: chat, note, AKOS, git, cloud, tools."},
		8	+ {"slug":"apple-apps","name":"Apple apps","description":"Native macOS/iOS applications (MacLustr, Admin-Ka, Ka, NEXTERM) built with Swift and Xcode."}
		9	+]

added content/owner/relevance.json +594 −0

				@@ -0,0 +1,594 @@
		1	+[
		2	+ {
		3	+ "tool": "claude-code",
		4	+ "use_state": "active",
		5	+ "rating": 5,
		6	+ "priority": "high",
		7	+ "cluster_compat": "yes",
		8	+ "projects": [
		9	+ "maclustr",
		10	+ "research-papers",
		11	+ "spboucher-ai-apps",
		12	+ "uqo-teaching"
		13	+ ],
		14	+ "notes": "Primary development agent for every project; operates the cluster over SSH and writes most code and documents."
		15	+ },
		16	+ {
		17	+ "tool": "claude-developer-platform",
		18	+ "use_state": "active",
		19	+ "rating": 5,
		20	+ "priority": "high",
		21	+ "cluster_compat": "yes",
		22	+ "projects": [
		23	+ "spboucher-ai-apps",
		24	+ "groupe-ka"
		25	+ ],
		26	+ "subscription_status": "API account",
		27	+ "notes": "Default provider for chat/note/agents; keys held in per-app .env files on nodes."
		28	+ },
		29	+ {
		30	+ "tool": "openai-platform",
		31	+ "use_state": "active",
		32	+ "rating": 4,
		33	+ "priority": "high",
		34	+ "cluster_compat": "yes",
		35	+ "projects": [
		36	+ "spboucher-ai-apps"
		37	+ ],
		38	+ "subscription_status": "API account",
		39	+ "notes": "Second provider; embeddings and selected models benchmarked in chat/note Phase Zero."
		40	+ },
		41	+ {
		42	+ "tool": "nextjs",
		43	+ "use_state": "active",
		44	+ "rating": 5,
		45	+ "priority": "high",
		46	+ "cluster_compat": "yes",
		47	+ "projects": [
		48	+ "spboucher-ai-apps",
		49	+ "groupe-ka",
		50	+ "uqo-teaching"
		51	+ ],
		52	+ "notes": "Framework for almost every web app on the cluster."
		53	+ },
		54	+ {
		55	+ "tool": "postgresql",
		56	+ "use_state": "active",
		57	+ "rating": 5,
		58	+ "priority": "high",
		59	+ "cluster_compat": "yes",
		60	+ "projects": [
		61	+ "spboucher-ai-apps",
		62	+ "groupe-ka",
		63	+ "findata"
		64	+ ],
		65	+ "notes": "Homebrew Postgres 17 on each app node; localhost only."
		66	+ },
		67	+ {
		68	+ "tool": "pgvector",
		69	+ "use_state": "active",
		70	+ "rating": 4,
		71	+ "priority": "medium",
		72	+ "cluster_compat": "yes",
		73	+ "projects": [
		74	+ "spboucher-ai-apps"
		75	+ ]
		76	+ },
		77	+ {
		78	+ "tool": "drizzle-orm",
		79	+ "use_state": "active",
		80	+ "rating": 4,
		81	+ "priority": "medium",
		82	+ "cluster_compat": "yes",
		83	+ "projects": [
		84	+ "spboucher-ai-apps"
		85	+ ],
		86	+ "notes": "snake_case casing mandatory; SQL migrations kept as source of truth."
		87	+ },
		88	+ {
		89	+ "tool": "pm2",
		90	+ "use_state": "active",
		91	+ "rating": 4,
		92	+ "priority": "high",
		93	+ "cluster_compat": "yes",
		94	+ "projects": [
		95	+ "maclustr"
		96	+ ],
		97	+ "notes": "Process supervisor for every mld-deployed app."
		98	+ },
		99	+ {
		100	+ "tool": "caddy",
		101	+ "use_state": "active",
		102	+ "rating": 5,
		103	+ "priority": "high",
		104	+ "cluster_compat": "yes",
		105	+ "projects": [
		106	+ "maclustr"
		107	+ ],
		108	+ "notes": "TLS termination on the OVH gateway; routes managed by tunnelctl/mld."
		109	+ },
		110	+ {
		111	+ "tool": "wireguard",
		112	+ "use_state": "active",
		113	+ "rating": 5,
		114	+ "priority": "high",
		115	+ "cluster_compat": "yes",
		116	+ "projects": [
		117	+ "maclustr"
		118	+ ],
		119	+ "notes": "wg1 overlay between BHS64 and the Macs; UDP 443 fallback because the LAN router blocks 51820."
		120	+ },
		121	+ {
		122	+ "tool": "tailscale",
		123	+ "use_state": "active",
		124	+ "rating": 4,
		125	+ "priority": "medium",
		126	+ "cluster_compat": "partial",
		127	+ "projects": [
		128	+ "maclustr"
		129	+ ],
		130	+ "notes": "Laptop-to-node access only; inter-node SSH over Tailscale blocked by ACL."
		131	+ },
		132	+ {
		133	+ "tool": "homebrew",
		134	+ "use_state": "active",
		135	+ "rating": 5,
		136	+ "priority": "high",
		137	+ "cluster_compat": "yes",
		138	+ "projects": [
		139	+ "maclustr"
		140	+ ]
		141	+ },
		142	+ {
		143	+ "tool": "openssh",
		144	+ "use_state": "active",
		145	+ "rating": 5,
		146	+ "priority": "high",
		147	+ "cluster_compat": "yes",
		148	+ "projects": [
		149	+ "maclustr"
		150	+ ]
		151	+ },
		152	+ {
		153	+ "tool": "git",
		154	+ "use_state": "active",
		155	+ "rating": 5,
		156	+ "priority": "high",
		157	+ "cluster_compat": "yes",
		158	+ "projects": [
		159	+ "maclustr",
		160	+ "spboucher-ai-apps"
		161	+ ],
		162	+ "notes": "Self-hosted bare repos on the gateway (spbgit); GitHub account suspended, not used."
		163	+ },
		164	+ {
		165	+ "tool": "github",
		166	+ "use_state": "archived",
		167	+ "rating": 2,
		168	+ "priority": "low",
		169	+ "cluster_compat": "unknown",
		170	+ "notes": "Account suspended; remotes renamed old-origin. Kept for reading public repositories only."
		171	+ },
		172	+ {
		173	+ "tool": "docker",
		174	+ "use_state": "testing",
		175	+ "rating": 3,
		176	+ "priority": "low",
		177	+ "cluster_compat": "partial",
		178	+ "projects": [
		179	+ "maclustr"
		180	+ ],
		181	+ "notes": "Installed on a few nodes; most apps run natively under PM2 instead."
		182	+ },
		183	+ {
		184	+ "tool": "playwright",
		185	+ "use_state": "active",
		186	+ "rating": 5,
		187	+ "priority": "medium",
		188	+ "cluster_compat": "yes",
		189	+ "projects": [
		190	+ "spboucher-ai-apps",
		191	+ "groupe-ka"
		192	+ ],
		193	+ "notes": "E2E tests and screenshots; also drives Safari-like automation for admin tasks."
		194	+ },
		195	+ {
		196	+ "tool": "vitest",
		197	+ "use_state": "active",
		198	+ "rating": 4,
		199	+ "priority": "medium",
		200	+ "cluster_compat": "yes",
		201	+ "projects": [
		202	+ "spboucher-ai-apps"
		203	+ ]
		204	+ },
		205	+ {
		206	+ "tool": "typescript",
		207	+ "use_state": "active",
		208	+ "rating": 5,
		209	+ "priority": "high",
		210	+ "cluster_compat": "yes",
		211	+ "projects": [
		212	+ "spboucher-ai-apps",
		213	+ "groupe-ka"
		214	+ ]
		215	+ },
		216	+ {
		217	+ "tool": "python",
		218	+ "use_state": "active",
		219	+ "rating": 5,
		220	+ "priority": "high",
		221	+ "cluster_compat": "yes",
		222	+ "projects": [
		223	+ "research-papers",
		224	+ "findata"
		225	+ ]
		226	+ },
		227	+ {
		228	+ "tool": "uv",
		229	+ "use_state": "active",
		230	+ "rating": 5,
		231	+ "priority": "high",
		232	+ "cluster_compat": "yes",
		233	+ "projects": [
		234	+ "research-papers",
		235	+ "findata"
		236	+ ],
		237	+ "notes": "Standard Python toolchain on nodes (uv-py3.12)."
		238	+ },
		239	+ {
		240	+ "tool": "fastapi",
		241	+ "use_state": "active",
		242	+ "rating": 4,
		243	+ "priority": "medium",
		244	+ "cluster_compat": "yes",
		245	+ "projects": [
		246	+ "findata",
		247	+ "spboucher-ai-apps"
		248	+ ]
		249	+ },
		250	+ {
		251	+ "tool": "duckdb",
		252	+ "use_state": "active",
		253	+ "rating": 5,
		254	+ "priority": "high",
		255	+ "cluster_compat": "yes",
		256	+ "projects": [
		257	+ "findata",
		258	+ "research-papers"
		259	+ ],
		260	+ "notes": "Query engine over the FirstRate Parquet lake; DuckDB 2.x API quirks documented in FinData."
		261	+ },
		262	+ {
		263	+ "tool": "polars",
		264	+ "use_state": "active",
		265	+ "rating": 4,
		266	+ "priority": "medium",
		267	+ "cluster_compat": "yes",
		268	+ "projects": [
		269	+ "findata"
		270	+ ]
		271	+ },
		272	+ {
		273	+ "tool": "apache-parquet",
		274	+ "use_state": "active",
		275	+ "rating": 5,
		276	+ "priority": "high",
		277	+ "cluster_compat": "yes",
		278	+ "projects": [
		279	+ "findata"
		280	+ ]
		281	+ },
		282	+ {
		283	+ "tool": "firstrate-data",
		284	+ "use_state": "active",
		285	+ "rating": 4,
		286	+ "priority": "high",
		287	+ "cluster_compat": "yes",
		288	+ "projects": [
		289	+ "findata",
		290	+ "research-papers"
		291	+ ],
		292	+ "subscription_status": "paid subscription",
		293	+ "notes": "Bulk intraday + fundamentals vendor; private-use licence, no redistribution."
		294	+ },
		295	+ {
		296	+ "tool": "sec-edgar",
		297	+ "use_state": "active",
		298	+ "rating": 5,
		299	+ "priority": "high",
		300	+ "cluster_compat": "yes",
		301	+ "projects": [
		302	+ "research-papers"
		303	+ ],
		304	+ "notes": "Russell 3000 filings database built from EDGAR bulk data."
		305	+ },
		306	+ {
		307	+ "tool": "fred",
		308	+ "use_state": "active",
		309	+ "rating": 4,
		310	+ "priority": "medium",
		311	+ "cluster_compat": "yes",
		312	+ "projects": [
		313	+ "research-papers"
		314	+ ]
		315	+ },
		316	+ {
		317	+ "tool": "statsmodels",
		318	+ "use_state": "active",
		319	+ "rating": 4,
		320	+ "priority": "medium",
		321	+ "cluster_compat": "yes",
		322	+ "projects": [
		323	+ "research-papers"
		324	+ ]
		325	+ },
		326	+ {
		327	+ "tool": "tex-live",
		328	+ "use_state": "active",
		329	+ "rating": 5,
		330	+ "priority": "high",
		331	+ "cluster_compat": "yes",
		332	+ "projects": [
		333	+ "research-papers",
		334	+ "uqo-teaching"
		335	+ ],
		336	+ "notes": "lualatex for working papers and course material."
		337	+ },
		338	+ {
		339	+ "tool": "overleaf",
		340	+ "use_state": "active",
		341	+ "rating": 4,
		342	+ "priority": "medium",
		343	+ "cluster_compat": "no",
		344	+ "projects": [
		345	+ "research-papers"
		346	+ ],
		347	+ "notes": "Thesis collaboration; Safari automation used to read comments."
		348	+ },
		349	+ {
		350	+ "tool": "pandoc",
		351	+ "use_state": "active",
		352	+ "rating": 5,
		353	+ "priority": "medium",
		354	+ "cluster_compat": "yes",
		355	+ "projects": [
		356	+ "research-papers"
		357	+ ],
		358	+ "notes": "LaTeX → Word recipe for journal submissions."
		359	+ },
		360	+ {
		361	+ "tool": "zotero",
		362	+ "use_state": "candidate",
		363	+ "priority": "low",
		364	+ "cluster_compat": "unknown",
		365	+ "notes": "Evaluate as a shared reference manager for the working-paper series."
		366	+ },
		367	+ {
		368	+ "tool": "jupyter",
		369	+ "use_state": "testing",
		370	+ "rating": 3,
		371	+ "priority": "low",
		372	+ "cluster_compat": "yes",
		373	+ "projects": [
		374	+ "research-papers"
		375	+ ]
		376	+ },
		377	+ {
		378	+ "tool": "mlx",
		379	+ "use_state": "active",
		380	+ "rating": 4,
		381	+ "priority": "medium",
		382	+ "cluster_compat": "yes",
		383	+ "projects": [
		384	+ "maclustr",
		385	+ "research-papers"
		386	+ ],
		387	+ "notes": "TITAN-MoE runtime work and local inference experiments on Apple Silicon nodes."
		388	+ },
		389	+ {
		390	+ "tool": "mlx-whisper",
		391	+ "use_state": "active",
		392	+ "rating": 4,
		393	+ "priority": "low",
		394	+ "cluster_compat": "yes",
		395	+ "projects": [
		396	+ "uqo-teaching"
		397	+ ],
		398	+ "notes": "Transcription of Zoom lecture recordings."
		399	+ },
		400	+ {
		401	+ "tool": "ollama",
		402	+ "use_state": "testing",
		403	+ "rating": 3,
		404	+ "priority": "medium",
		405	+ "cluster_compat": "yes",
		406	+ "projects": [
		407	+ "maclustr"
		408	+ ],
		409	+ "notes": "Local model group in chat app still empty; candidate backend."
		410	+ },
		411	+ {
		412	+ "tool": "swift",
		413	+ "use_state": "active",
		414	+ "rating": 4,
		415	+ "priority": "medium",
		416	+ "cluster_compat": "yes",
		417	+ "projects": [
		418	+ "apple-apps"
		419	+ ]
		420	+ },
		421	+ {
		422	+ "tool": "swiftui",
		423	+ "use_state": "active",
		424	+ "rating": 4,
		425	+ "priority": "medium",
		426	+ "cluster_compat": "yes",
		427	+ "projects": [
		428	+ "apple-apps"
		429	+ ]
		430	+ },
		431	+ {
		432	+ "tool": "xcode",
		433	+ "use_state": "active",
		434	+ "rating": 3,
		435	+ "priority": "medium",
		436	+ "cluster_compat": "no",
		437	+ "projects": [
		438	+ "apple-apps"
		439	+ ],
		440	+ "notes": "Laptop only (signing, TestFlight)."
		441	+ },
		442	+ {
		443	+ "tool": "testflight",
		444	+ "use_state": "active",
		445	+ "rating": 4,
		446	+ "priority": "low",
		447	+ "cluster_compat": "no",
		448	+ "projects": [
		449	+ "apple-apps"
		450	+ ]
		451	+ },
		452	+ {
		453	+ "tool": "launchd",
		454	+ "use_state": "active",
		455	+ "rating": 4,
		456	+ "priority": "medium",
		457	+ "cluster_compat": "yes",
		458	+ "projects": [
		459	+ "maclustr"
		460	+ ],
		461	+ "notes": "LaunchDaemons for agentd, guardians, WireGuard loops; LaunchDaemon (not Agent) on headless nodes."
		462	+ },
		463	+ {
		464	+ "tool": "tavily",
		465	+ "use_state": "active",
		466	+ "rating": 4,
		467	+ "priority": "medium",
		468	+ "cluster_compat": "yes",
		469	+ "projects": [
		470	+ "spboucher-ai-apps"
		471	+ ],
		472	+ "subscription_status": "API key",
		473	+ "notes": "Web search for chat/agents via MCP."
		474	+ },
		475	+ {
		476	+ "tool": "apify",
		477	+ "use_state": "active",
		478	+ "rating": 4,
		479	+ "priority": "medium",
		480	+ "cluster_compat": "yes",
		481	+ "projects": [
		482	+ "groupe-ka"
		483	+ ],
		484	+ "subscription_status": "API account",
		485	+ "notes": "Actors used by Ka connectors."
		486	+ },
		487	+ {
		488	+ "tool": "firecrawl",
		489	+ "use_state": "testing",
		490	+ "rating": 3,
		491	+ "priority": "low",
		492	+ "cluster_compat": "yes",
		493	+ "projects": [
		494	+ "groupe-ka"
		495	+ ],
		496	+ "notes": "Replaced by Scrapfly for Lou-Ka."
		497	+ },
		498	+ {
		499	+ "tool": "scrapfly",
		500	+ "use_state": "active",
		501	+ "rating": 4,
		502	+ "priority": "medium",
		503	+ "cluster_compat": "yes",
		504	+ "projects": [
		505	+ "groupe-ka"
		506	+ ],
		507	+ "subscription_status": "API account"
		508	+ },
		509	+ {
		510	+ "tool": "redis",
		511	+ "use_state": "active",
		512	+ "rating": 4,
		513	+ "priority": "medium",
		514	+ "cluster_compat": "yes",
		515	+ "projects": [
		516	+ "groupe-ka"
		517	+ ]
		518	+ },
		519	+ {
		520	+ "tool": "notion",
		521	+ "use_state": "testing",
		522	+ "rating": 3,
		523	+ "priority": "low",
		524	+ "cluster_compat": "yes",
		525	+ "notes": "Connected via MCP; not a primary store."
		526	+ },
		527	+ {
		528	+ "tool": "godaddy",
		529	+ "use_state": "active",
		530	+ "rating": 3,
		531	+ "priority": "medium",
		532	+ "cluster_compat": "unknown",
		533	+ "projects": [
		534	+ "maclustr"
		535	+ ],
		536	+ "subscription_status": "registrar for all domains",
		537	+ "notes": "DNS A records to the OVH gateway; changes done in the web console."
		538	+ },
		539	+ {
		540	+ "tool": "ovhcloud",
		541	+ "use_state": "active",
		542	+ "rating": 4,
		543	+ "priority": "high",
		544	+ "cluster_compat": "yes",
		545	+ "projects": [
		546	+ "maclustr"
		547	+ ],
		548	+ "subscription_status": "one dedicated server (Beauharnois)",
		549	+ "notes": "Public gateway BHS64; four other servers retired 2026-10-02."
		550	+ },
		551	+ {
		552	+ "tool": "lets-encrypt",
		553	+ "use_state": "active",
		554	+ "rating": 5,
		555	+ "priority": "medium",
		556	+ "cluster_compat": "yes",
		557	+ "projects": [
		558	+ "maclustr"
		559	+ ]
		560	+ },
		561	+ {
		562	+ "tool": "model-context-protocol",
		563	+ "use_state": "active",
		564	+ "rating": 5,
		565	+ "priority": "high",
		566	+ "cluster_compat": "yes",
		567	+ "projects": [
		568	+ "spboucher-ai-apps",
		569	+ "maclustr"
		570	+ ],
		571	+ "notes": "Cluster, AKOS, finance-data and search MCP servers used from Claude Code."
		572	+ },
		573	+ {
		574	+ "tool": "zoom",
		575	+ "use_state": "active",
		576	+ "rating": 3,
		577	+ "priority": "low",
		578	+ "cluster_compat": "no",
		579	+ "projects": [
		580	+ "uqo-teaching"
		581	+ ]
		582	+ },
		583	+ {
		584	+ "tool": "moodle",
		585	+ "use_state": "active",
		586	+ "rating": 2,
		587	+ "priority": "medium",
		588	+ "cluster_compat": "no",
		589	+ "projects": [
		590	+ "uqo-teaching"
		591	+ ],
		592	+ "notes": "UQO LMS; grading and announcements automated through Safari."
		593	+ }
		594	+]
	\ No newline at end of file

added content/private/akos.json +9 −0

				@@ -0,0 +1,9 @@
		1	+{"slug":"akos","name":"AKOS","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://akos.spboucher.ai/","product_type":"platform","product_status":"active",
		2	+ "summary":"Registry of verified API knowledge packages with a governed execution gateway, compiler, provenance and MCP interface",
		3	+ "description":"AKOS is the owner's API Knowledge Operating System: a PostgreSQL registry of API Knowledge Packages compiled from OpenAPI documents or live probes, a governed execution gateway with policies for discovery, development, research and production use, provenance and lineage for every call, reproducible dataset exports, and an MCP endpoint so coding agents reuse verified clients instead of hand-writing integrations. It is private infrastructure that other owner projects depend on; this record exists so the inventory is complete, not as a public product listing.",
		4	+ "capabilities":["Owner-operated service on the MacLustr cluster","Access restricted to the owner","Documented in the project repository"],"workflows":[],"advantages":[],"limitations":["Not available to the public"],"prerequisites":[],"audiences":["Owner"],
		5	+ "alternatives":[],"categories":[{"slug":"api-development","primary":true},{"slug":"data-catalogs"}],"tags":["self-hosted"],"use_cases":["build-apis"],
		6	+ "operating_systems":["macos","web"],"execution_modes":["self-hosted"],"interfaces":["web","api"],"deployment_models":["on-premises"],"integrations":[],"data_formats":[],"languages":[],
		7	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		8	+ "sources":[{"url":"https://akos.spboucher.ai/","type":"official_site","supports":["name"],"checked_at":"2026-11-02","note":"Owner-controlled deployment; description written from the project documentation."}],
		9	+ "confidence":"high","uncertainty_note":"Private record (API Knowledge Operating System). Public exposure requires the owner's explicit approval; deployment details stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/private/findata-os.json +9 −0

				@@ -0,0 +1,9 @@
		1	+{"slug":"findata-os","name":"FinData OS","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://findata.spboucher.ai/","product_type":"platform","product_status":"active",
		2	+ "summary":"Private lakehouse of intraday bars, options and fundamentals built on Parquet, DuckDB and PostgreSQL with scheduled ingestion from a licensed vendor",
		3	+ "description":"FinData OS is the owner's private financial data platform: a Parquet lake of minute-level bars for several thousand US symbols, options chains and point-in-time fundamentals, ingested under a private-use vendor licence, queried through DuckDB and governed by a PostgreSQL catalog with an API, a worker and encrypted backups. Vendor data cannot be redistributed, so the service is restricted to the owner and collaborators with their own licences. Recorded privately for completeness of the inventory.",
		4	+ "capabilities":["Owner-operated service on the MacLustr cluster","Access restricted to the owner","Documented in the project repository"],"workflows":[],"advantages":[],"limitations":["Not available to the public"],"prerequisites":[],"audiences":["Owner"],
		5	+ "alternatives":[],"categories":[{"slug":"hf-finance-research","primary":true},{"slug":"market-data-apis"}],"tags":["self-hosted"],"use_cases":["analyze-intraday-data"],
		6	+ "operating_systems":["macos","web"],"execution_modes":["self-hosted"],"interfaces":["web","api"],"deployment_models":["on-premises"],"integrations":[],"data_formats":[],"languages":[],
		7	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		8	+ "sources":[{"url":"https://findata.spboucher.ai/","type":"official_site","supports":["name"],"checked_at":"2026-11-02","note":"Owner-controlled deployment; description written from the project documentation."}],
		9	+ "confidence":"high","uncertainty_note":"Private record (Financial data lakehouse). Public exposure requires the owner's explicit approval; deployment details stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/private/maclustr.json +10 −0

				@@ -0,0 +1,10 @@
		1	+{"slug":"maclustr","name":"MacLustr","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://www.maclustr.io/","product_type":"platform","product_status":"active",
		2	+ "summary":"Owner-operated cluster of Apple Silicon Macs with a public OVH gateway, WireGuard overlay and an orchestrator that places and supervises applications",
		3	+ "description":"MacLustr is the owner's private compute and hosting platform: a heterogeneous fleet of Mac Studios, Mac minis and MacBooks on one LAN, joined to a dedicated OVH server in Québec that terminates TLS and forwards traffic over WireGuard. An in-house orchestrator scores nodes on free memory, load, disk and installed runtimes, deploys each application with PM2, registers it, exposes it through the gateway and repairs it after outages. Companion native apps (macOS, iOS) monitor the fleet and let iPhones pull jobs. This record is private: it documents an internal system, not a product available to others.",
		4	+ "capabilities":["Scored placement of applications on the best node","PM2 supervision with self-healing every five minutes","Public exposure through Caddy on an OVH gateway over WireGuard","Fleet monitoring from native macOS and iOS apps","Distributed compute jobs proportional to core counts"],
		5	+ "workflows":["Deploy an app: manifest → stage → deploy → route → health check","Move an app between nodes with pre-copy and rollback"],"advantages":["No cloud GPU rental; unified memory on Apple Silicon","Everything under the owner's control"],"limitations":["Single residential uplink","Not a multi-tenant product"],"prerequisites":[],"audiences":["Owner"],
		6	+ "alternatives":["kubernetes","fly-io"],"categories":[{"slug":"distributed-computing","primary":true},{"slug":"infrastructure-provisioning"}],"tags":["self-hosted","apple-silicon"],"use_cases":["host-web-apps"],
		7	+ "operating_systems":["macos"],"execution_modes":["self-hosted"],"interfaces":["cli","api","desktop","mobile"],"deployment_models":["on-premises"],"integrations":["PM2","Caddy","WireGuard","PostgreSQL"],"data_formats":[],"languages":["Python","Swift","TypeScript"],
		8	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		9	+ "sources":[{"url":"https://www.maclustr.io/","type":"official_site","supports":["name","summary"],"checked_at":"2026-11-02","note":"Public showcase site; internal documentation lives in the owner's cluster-skill repository."}],
		10	+ "confidence":"high","uncertainty_note":"Private record. Deployment details, node inventories and credentials are deliberately absent from this record and must stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/private/polyllm.json +9 −0

				@@ -0,0 +1,9 @@
		1	+{"slug":"polyllm","name":"PolyLLM","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://www.spboucher.ai/","product_type":"platform","product_status":"active",
		2	+ "summary":"Bring-your-own-key playground for comparing hosted language models side by side",
		3	+ "description":"PolyLLM is a bring-your-own-key playground that sends the same prompt to several hosted language models and shows the answers side by side, with a mobile-first interface. It was built as a personal comparison tool and is maintained as an internal project; provider keys stay in the browser and are never stored server-side. Recorded privately for inventory purposes; public availability has not been decided.",
		4	+ "capabilities":["Owner-operated service on the MacLustr cluster","Access restricted to the owner","Documented in the project repository"],"workflows":[],"advantages":[],"limitations":["Not available to the public"],"prerequisites":[],"audiences":["Owner"],
		5	+ "alternatives":[],"categories":[{"slug":"llm-ops","primary":true},{"slug":"ai-assistants"}],"tags":["self-hosted"],"use_cases":["evaluate-llm-apps"],
		6	+ "operating_systems":["macos","web"],"execution_modes":["self-hosted"],"interfaces":["web","api"],"deployment_models":["on-premises"],"integrations":[],"data_formats":[],"languages":[],
		7	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		8	+ "sources":[{"url":"https://www.spboucher.ai/","type":"official_site","supports":["name"],"checked_at":"2026-11-02","note":"Owner-controlled deployment; description written from the project documentation."}],
		9	+ "confidence":"high","uncertainty_note":"Private record (LLM playground). Public exposure requires the owner's explicit approval; deployment details stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/private/spbgit.json +9 −0

				@@ -0,0 +1,9 @@
		1	+{"slug":"spbgit","name":"SPB Git","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://git.spboucher.ai/","product_type":"platform","product_status":"active",
		2	+ "summary":"Self-hosted Git server and web interface holding the canonical repositories of every owner project",
		3	+ "description":"SPB Git is the owner's self-hosted Git forge: bare repositories on the cluster gateway with a web interface for browsing, mobile-friendly themes and repository statistics. Since October 2026 every deployed application is a clone whose origin points here, which makes the forge the single source of truth for code across the cluster. The record is private because the forge is not open to external users.",
		4	+ "capabilities":["Owner-operated service on the MacLustr cluster","Access restricted to the owner","Documented in the project repository"],"workflows":[],"advantages":[],"limitations":["Not available to the public"],"prerequisites":[],"audiences":["Owner"],
		5	+ "alternatives":[],"categories":[{"slug":"version-control","primary":true},{"slug":"documentation"}],"tags":["self-hosted"],"use_cases":["collaborate"],
		6	+ "operating_systems":["macos","web"],"execution_modes":["self-hosted"],"interfaces":["web","api"],"deployment_models":["on-premises"],"integrations":[],"data_formats":[],"languages":[],
		7	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		8	+ "sources":[{"url":"https://git.spboucher.ai/","type":"official_site","supports":["name"],"checked_at":"2026-11-02","note":"Owner-controlled deployment; description written from the project documentation."}],
		9	+ "confidence":"high","uncertainty_note":"Private record (Self-hosted Git forge). Public exposure requires the owner's explicit approval; deployment details stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/private/uqo-research-db.json +9 −0

				@@ -0,0 +1,9 @@
		1	+{"slug":"uqo-research-db","name":"UQO Research DB","aliases":[],"vendor":{"name":"Simon-Pierre Boucher","slug":"spboucher"},"homepage_url":"https://www.spboucher.ai/","product_type":"platform","product_status":"active",
		2	+ "summary":"Internal research database of SEC filings and extracted chunks for Russell 3000 companies",
		3	+ "description":"The UQO Research DB is an internal corpus built from SEC EDGAR bulk filings for roughly 2,500 Russell 3000 companies, with parsed documents and text chunks indexed for retrieval, used as the evidence base for several working papers on disclosure, AI adoption and strategic projects. It is a research dataset governed by the SEC fair-access policy and the owner's own retention rules, not a product; the record is private so the inventory shows which internal assets the public tools support.",
		4	+ "capabilities":["Owner-operated service on the MacLustr cluster","Access restricted to the owner","Documented in the project repository"],"workflows":[],"advantages":[],"limitations":["Not available to the public"],"prerequisites":[],"audiences":["Owner"],
		5	+ "alternatives":[],"categories":[{"slug":"sec-filings","primary":true},{"slug":"academic-discovery"}],"tags":["self-hosted"],"use_cases":["parse-sec-filings"],
		6	+ "operating_systems":["macos","web"],"execution_modes":["self-hosted"],"interfaces":["web","api"],"deployment_models":["on-premises"],"integrations":[],"data_formats":[],"languages":[],
		7	+ "source_model":"proprietary","pricing_model":["unknown"],"self_hostable":true,
		8	+ "sources":[{"url":"https://www.spboucher.ai/","type":"official_site","supports":["name"],"checked_at":"2026-11-02","note":"Owner-controlled deployment; description written from the project documentation."}],
		9	+ "confidence":"high","uncertainty_note":"Private record (Research database). Public exposure requires the owner's explicit approval; deployment details stay in owner notes.","discovery_method":"owner-inventory","depth":"standard","editorial_status":"reviewed","visibility":"private","featured":false,"author":"owner"}

added content/tools/1password.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "1password",
		3	+ "name": "1Password",
		4	+ "aliases": ["1Password 8", "AgileBits 1Password"],
		5	+ "vendor": { "name": "AgileBits Inc. (1Password)", "slug": "agilebits", "website": "https://1password.com" },
		6	+ "homepage_url": "https://1password.com/",
		7	+ "docs_url": "https://support.1password.com/",
		8	+ "pricing_url": "https://1password.com/pricing",
		9	+ "privacy_url": "https://1password.com/legal/privacy",
		10	+ "security_url": "https://1password.com/security",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Password and secrets manager for individuals, families and businesses with end-to-end encrypted vaults, passkeys, an SSH agent and a developer CLI",
		14	+ "description": "1Password is a proprietary password manager from AgileBits Inc. that stores logins, passkeys, cards, documents and arbitrary secure notes in encrypted vaults synchronized through the vendor's service. Native apps for macOS, Windows, Linux, iOS and Android, browser extensions and a web client fill credentials and generate passwords; sharing is organized through vaults with per-member permissions for families, teams and enterprises, and administrators get SSO integration, provisioning and activity reports.\n\nIts security design, as described on the vendor's security page, combines an account password that the company states it never stores with a Secret Key generated on the device, so that data is encrypted end to end and the service cannot read vault contents; authentication uses Secure Remote Password, and the company publishes independent audit results and runs a bug bounty. For developers, 1Password exposes a CLI (`op`) that injects secrets into environment variables and configuration files at run time, an SSH agent that signs with keys kept in the vault with biometric approval, Git commit signing, Connect servers and Service Accounts for CI, and SDKs for Go, Python and JavaScript.\n\nThere is no free tier; individual, family and business plans are subscription-based with a trial. Because vaults are hosted only on 1Password's infrastructure, organizations requiring a self-hosted store look to Bitwarden or a dedicated secrets manager such as Vault, and the clients are closed source.",
		15	+ "capabilities": ["Encrypted vaults for passwords, passkeys, cards, documents and notes across all major platforms", "Browser extensions and autofill, including passkey creation and sign-in", "Shared vaults with permissions for families, teams and enterprises plus SSO and SCIM provisioning", "Developer CLI (op) for injecting secrets into shells, CI and configuration", "SSH agent and Git commit signing backed by vault-stored keys", "Service Accounts, Connect server and SDKs for automation", "Watchtower reports on weak, reused or breached credentials"],
		16	+ "workflows": ["Replace plaintext .env files with op run and secret references", "Sign SSH sessions and Git commits with keys that never leave the vault", "Share infrastructure credentials with a team through a dedicated vault", "Provision users from an identity provider with SCIM"],
		17	+ "advantages": ["Consistent, polished clients on every platform", "Published security model with Secret Key and independent audits", "Strong developer tooling (CLI, SSH agent, SDKs)", "Team administration with SSO and reporting"],
		18	+ "limitations": ["Subscription only; no free tier", "Closed-source clients and hosted-only vault storage", "No self-hosted server option", "CLI-based secret injection adds a runtime dependency to scripts"],
		19	+ "prerequisites": ["1Password account subscription", "Desktop app required for the SSH agent and biometric CLI unlock"],
		20	+ "audiences": ["Individuals and families", "Development teams managing shared credentials", "Enterprises with SSO and provisioning needs"],
		21	+ "alternatives": ["bitwarden", "hashicorp-vault", "infisical"],
		22	+ "comparison_notes": "Bitwarden covers the same end-user use cases with open-source clients, a free tier and an optional self-hosted server, which 1Password does not offer. HashiCorp Vault and Infisical are infrastructure secrets managers for machines and pipelines rather than personal password vaults, though 1Password's CLI and Service Accounts overlap with their simplest uses.",
		23	+ "categories": [{ "slug": "secrets-management", "primary": true }, { "slug": "identity-access" }],
		24	+ "tags": ["secrets", "password-manager", "passkeys", "ssh", "cli", "macos", "security", "saas"],
		25	+ "use_cases": ["store-secrets", "manage-credentials"],
		26	+ "operating_systems": ["macos", "windows", "linux", "ios", "android", "web"],
		27	+ "execution_modes": ["cloud", "local"],
		28	+ "interfaces": ["desktop", "mobile", "browser-extension", "cli", "sdk", "web"],
		29	+ "deployment_models": ["saas", "desktop"],
		30	+ "integrations": ["SSH", "Git", "GitHub Actions", "Okta", "Microsoft Entra ID", "Google Workspace", "Kubernetes (operator)", "Terraform"],
		31	+ "data_formats": ["1PUX export", "CSV", "Secret references (op://)"],
		32	+ "languages": ["Go", "Python", "JavaScript"],
		33	+ "source_model": "proprietary",
		34	+ "pricing_model": ["paid", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "privacy_posture": "The vendor's security page describes a dual-key model (account password never stored by the company plus a device-generated Secret Key), end-to-end encryption, Secure Remote Password authentication, published independent audits and a bug bounty program.",
		37	+ "self_hostable": false,
		38	+ "sources": [
		39	+ { "url": "https://1password.com/", "type": "official_site", "title": "1Password", "supports": ["name", "summary", "operating_systems"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://support.1password.com/", "type": "official_docs", "title": "1Password Support", "supports": ["capabilities", "workflows"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://www.1password.dev/", "type": "official_docs", "title": "1Password Developer", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://1password.com/security", "type": "policy_page", "title": "1Password Security", "supports": ["privacy_posture"], "checked_at": "2026-11-02" },
		43	+ { "url": "https://1password.com/pricing", "type": "pricing_page", "title": "1Password Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		44	+ ],
		45	+ "confidence": "high",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "deep",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": false,
		51	+ "author": "batch-B2"
		52	+}

added content/tools/alfred.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "alfred",
		3	+ "name": "Alfred",
		4	+ "aliases": ["Alfred Powerpack"],
		5	+ "vendor": { "name": "Running with Crayons Ltd", "slug": "running-with-crayons", "website": "https://www.alfredapp.com/" },
		6	+ "homepage_url": "https://www.alfredapp.com/",
		7	+ "docs_url": "https://www.alfredapp.com/help/",
		8	+ "pricing_url": "https://www.alfredapp.com/shop/",
		9	+ "product_type": "application",
		10	+ "product_status": "active",
		11	+ "summary": "macOS launcher and productivity app whose paid Powerpack adds workflows, clipboard history, snippets and custom searches",
		12	+ "description": "Alfred is a macOS launcher developed since 2010 by Running with Crayons Ltd. The free application searches and opens apps, files, bookmarks and web searches, performs calculations and system commands, and can be driven entirely from the keyboard. The paid Powerpack, sold as a one-time single license or a Mega Supporter license with lifetime upgrades, unlocks workflows, clipboard history, snippet expansion, file actions, a Music mini player, Terminal integration, themes and settings sync.\n\nWorkflows are Alfred's automation layer: visual graphs that connect triggers (keywords, hotkeys, Remote buttons) to actions and scripts in AppleScript, shell, Python or other languages. A large community has published workflows for years through the Alfred Gallery and forum, giving the app a long tail of integrations.\n\nAlfred is proprietary and macOS-only. Compared with Raycast it has no built-in AI assistant or official extension API in TypeScript, and its workflow format is specific to Alfred.",
		13	+ "capabilities": ["Keyboard launcher for apps, files and web searches", "Workflows connecting triggers to scripts and actions (Powerpack)", "Clipboard history and snippet expansion (Powerpack)", "Custom file filters and web searches", "Settings sync via a cloud folder"],
		14	+ "workflows": ["Launch apps and search files without the mouse", "Build a workflow that queries an internal tool from a keyword", "Expand snippets across applications"],
		15	+ "advantages": ["Lightweight, fast and long-established", "One-time Powerpack license", "Large community library of workflows"],
		16	+ "limitations": ["Proprietary and macOS only", "Automation features require the paid Powerpack", "No official cross-platform or AI features"],
		17	+ "prerequisites": ["macOS"],
		18	+ "audiences": ["Mac power users", "People who prefer a one-time purchase over subscriptions"],
		19	+ "alternatives": ["raycast", "keyboard-maestro", "hammerspoon"],
		20	+ "categories": [{ "slug": "macos-utilities", "primary": true }, { "slug": "macos-automation" }],
		21	+ "tags": ["macos", "launcher", "productivity", "proprietary"],
		22	+ "use_cases": ["automate-desktop-tasks"],
		23	+ "operating_systems": ["macos"],
		24	+ "execution_modes": ["local"],
		25	+ "interfaces": ["desktop"],
		26	+ "deployment_models": ["desktop"],
		27	+ "integrations": ["AppleScript", "Shell", "1Password", "Music.app", "Terminal"],
		28	+ "data_formats": [".alfredworkflow bundles"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://www.alfredapp.com/", "type": "official_site", "title": "Alfred – Productivity App for macOS", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://www.alfredapp.com/powerpack/", "type": "pricing_page", "title": "Alfred Powerpack", "supports": ["pricing_model", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.alfredapp.com/help/", "type": "official_docs", "title": "Alfred Help and Support", "supports": ["capabilities"], "checked_at": "2026-11-02" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-C"
		46	+}

added content/tools/alpaca.json +167 −0

				@@ -0,0 +1,167 @@
		1	+{
		2	+ "slug": "alpaca",
		3	+ "name": "Alpaca",
		4	+ "aliases": [
		5	+ "Alpaca Markets",
		6	+ "Alpaca Trading API",
		7	+ "alpaca-py"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Alpaca (AlpacaDB, Inc.)",
		11	+ "slug": "alpaca",
		12	+ "website": "https://alpaca.markets"
		13	+ },
		14	+ "homepage_url": "https://alpaca.markets/",
		15	+ "docs_url": "https://docs.alpaca.markets/",
		16	+ "repo_url": "https://github.com/alpacahq/alpaca-py",
		17	+ "pricing_url": "https://alpaca.markets/pricing",
		18	+ "license_url": "https://github.com/alpacahq/alpaca-py/blob/master/LICENSE",
		19	+ "product_type": "api-service",
		20	+ "product_status": "active",
		21	+ "summary": "API-first US brokerage offering a Trading API, Market Data API and Broker API for stocks, ETFs, options and crypto, with paper trading",
		22	+ "description": "Alpaca is an API-first brokerage and market-data provider in the financial analysis and investing category. Developers open an account and interact entirely through REST and WebSocket endpoints: the Trading API places and manages orders for US stocks, ETFs, options and crypto; the Market Data API streams quotes, trades and bars and serves historical data; and the Broker API lets fintech apps open and manage end-customer accounts. A free paper-trading environment mirrors the live API, and official SDKs include the Apache-licensed alpaca-py plus libraries for other languages. The service is cloud-hosted, so no local gateway is needed, which makes it a common choice for bots and research pipelines. Coverage is centered on US markets, real-time data breadth depends on the subscribed data plan, and brokerage services are subject to US regulatory eligibility.",
		23	+ "capabilities": [
		24	+ "Order management for US equities, ETFs, options and crypto",
		25	+ "Real-time and historical market data over REST and WebSocket",
		26	+ "Paper trading environment identical to live endpoints",
		27	+ "Broker API for embedding brokerage in applications",
		28	+ "Official SDKs including alpaca-py",
		29	+ "OAuth for third-party app connections"
		30	+ ],
		31	+ "workflows": [
		32	+ "Prototype a bot against paper trading, then switch keys to live",
		33	+ "Backfill minute bars for research through the data API"
		34	+ ],
		35	+ "advantages": [
		36	+ "No desktop gateway; pure cloud API",
		37	+ "Free paper trading",
		38	+ "Apache-2.0 SDK"
		39	+ ],
		40	+ "limitations": [
		41	+ "US-centric market coverage",
		42	+ "Full real-time data feeds require paid data plans",
		43	+ "Account eligibility depends on jurisdiction"
		44	+ ],
		45	+ "prerequisites": [
		46	+ "Alpaca account and API keys"
		47	+ ],
		48	+ "audiences": [
		49	+ "Developers building trading bots",
		50	+ "Fintech teams embedding brokerage",
		51	+ "Students learning with paper trading"
		52	+ ],
		53	+ "alternatives": [
		54	+ "interactive-brokers-api",
		55	+ "kraken-api",
		56	+ "quantconnect"
		57	+ ],
		58	+ "comparison_notes": "Interactive Brokers reaches many more markets but requires a running gateway for its main API; Alpaca is simpler to integrate and US-focused. Kraken is crypto-only. QuantConnect can trade through Alpaca as one of its brokerages.",
		59	+ "categories": [
		60	+ {
		61	+ "slug": "financial-analysis-investing",
		62	+ "primary": true
		63	+ },
		64	+ {
		65	+ "slug": "market-data-apis",
		66	+ "label": "Equity and crypto market data API"
		67	+ }
		68	+ ],
		69	+ "tags": [
		70	+ "brokerage",
		71	+ "trading-api",
		72	+ "market-data",
		73	+ "api",
		74	+ "python",
		75	+ "websocket"
		76	+ ],
		77	+ "use_cases": [
		78	+ "automate-trading",
		79	+ "access-market-data"
		80	+ ],
		81	+ "operating_systems": [
		82	+ "any"
		83	+ ],
		84	+ "execution_modes": [
		85	+ "cloud"
		86	+ ],
		87	+ "interfaces": [
		88	+ "api",
		89	+ "sdk"
		90	+ ],
		91	+ "deployment_models": [
		92	+ "saas"
		93	+ ],
		94	+ "integrations": [
		95	+ "QuantConnect",
		96	+ "TradingView",
		97	+ "Python",
		98	+ "JavaScript"
		99	+ ],
		100	+ "data_formats": [
		101	+ "JSON",
		102	+ "WebSocket messages"
		103	+ ],
		104	+ "languages": [
		105	+ "Python",
		106	+ "JavaScript",
		107	+ "Go",
		108	+ "C#"
		109	+ ],
		110	+ "source_model": "mixed",
		111	+ "license_spdx": "Apache-2.0",
		112	+ "pricing_model": [
		113	+ "freemium",
		114	+ "usage-based",
		115	+ "paid"
		116	+ ],
		117	+ "pricing_checked_at": "2026-11-02",
		118	+ "self_hostable": false,
		119	+ "sources": [
		120	+ {
		121	+ "url": "https://alpaca.markets/",
		122	+ "type": "official_site",
		123	+ "supports": [
		124	+ "name",
		125	+ "summary"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "Alpaca"
		129	+ },
		130	+ {
		131	+ "url": "https://docs.alpaca.markets/",
		132	+ "type": "official_docs",
		133	+ "supports": [
		134	+ "capabilities",
		135	+ "interfaces"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "Alpaca documentation"
		139	+ },
		140	+ {
		141	+ "url": "https://alpaca.markets/pricing",
		142	+ "type": "pricing_page",
		143	+ "supports": [
		144	+ "pricing_model"
		145	+ ],
		146	+ "checked_at": "2026-11-02",
		147	+ "title": "Alpaca pricing"
		148	+ },
		149	+ {
		150	+ "url": "https://github.com/alpacahq/alpaca-py/blob/master/LICENSE",
		151	+ "type": "license_page",
		152	+ "supports": [
		153	+ "license_spdx"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "alpaca-py LICENSE (Apache 2.0)",
		157	+ "note": "License applies to the SDK, not the service"
		158	+ }
		159	+ ],
		160	+ "confidence": "high",
		161	+ "depth": "standard",
		162	+ "featured": false,
		163	+ "discovery_method": "editorial-research",
		164	+ "editorial_status": "reviewed",
		165	+ "visibility": "public",
		166	+ "author": "batch-F"
		167	+}

added content/tools/alpha-vantage.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "alpha-vantage",
		3	+ "name": "Alpha Vantage",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Alpha Vantage Inc.", "slug": "alpha-vantage", "website": "https://www.alphavantage.co" },
		6	+ "homepage_url": "https://www.alphavantage.co/",
		7	+ "docs_url": "https://www.alphavantage.co/documentation/",
		8	+ "pricing_url": "https://www.alphavantage.co/premium/",
		9	+ "product_type": "api-service",
		10	+ "product_status": "active",
		11	+ "summary": "REST API for stock, ETF, options, forex, crypto, commodity and economic data plus fundamentals, news sentiment and technical indicators, with a free key tier and premium plans",
		12	+ "description": "Alpha Vantage is a REST market-data API from Alpha Vantage Inc. It serves daily, weekly, monthly and intraday time series for stocks and ETFs, options data, index data, fundamentals (statements, earnings), forex and cryptocurrency rates, commodities, economic indicators, more than fifty technical indicators and an \"Alpha Intelligence\" family covering news sentiment, earnings transcripts and insider activity. Responses are JSON by default with CSV available on most endpoints, every call carries an API key, and the company also publishes an MCP server for AI agents and spreadsheet access.\n\nThe free key covers most endpoints within a daily request allowance; premium subscriptions scale by requests per minute and are billed monthly or annually, with enterprise arrangements for higher throughput. The terms of service restrict standard use to personal, non-commercial purposes and define redistribution to third parties or use inside commercial products as commercial use requiring a separate agreement. Alpha Vantage is popular for prototypes and teaching because of the free tier, but rate limits, daily history truncation on free keys and the licence boundary make it less suited to production or redistribution.",
		13	+ "capabilities": ["Daily, weekly, monthly and intraday stock and ETF series", "Options, index, forex, crypto and commodity data", "Fundamentals and earnings", "News sentiment and other Alpha Intelligence endpoints", "Technical indicators", "JSON and CSV output", "MCP server for AI agents"],
		14	+ "workflows": ["Prototyping a dashboard with a free key", "Teaching API consumption in a finance course"],
		15	+ "advantages": ["Free tier covering most endpoints", "Simple REST interface", "Broad asset and indicator coverage"],
		16	+ "limitations": ["Daily and per-minute request limits by plan", "Standard terms are personal, non-commercial", "Redistribution requires a commercial agreement"],
		17	+ "prerequisites": ["Free API key"],
		18	+ "audiences": ["Students and hobbyist developers", "Analysts prototyping data pipelines"],
		19	+ "alternatives": ["polygon-io", "yfinance", "nasdaq-data-link", "fred", "databento"],
		20	+ "comparison_notes": "yfinance is free but unofficial; Massive and Databento are paid professional APIs with tick-level depth; FRED covers economic series only. Alpha Vantage's niche is a licensed free tier with broad but rate-limited coverage.",
		21	+ "categories": [{ "slug": "market-data-apis", "primary": true }],
		22	+ "tags": ["market-data", "api", "time-series", "free-tier"],
		23	+ "use_cases": ["access-market-data"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["api", "mcp-server"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Excel/Google Sheets", "MCP clients", "Community Python and R wrappers"],
		29	+ "data_formats": ["JSON", "CSV"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://www.alphavantage.co/", "type": "official_site", "title": "Alpha Vantage: Free Stock APIs in JSON & Excel", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.alphavantage.co/documentation/", "type": "official_docs", "title": "Alpha Vantage API Documentation", "supports": ["capabilities", "data_formats", "pricing_model"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.alphavantage.co/premium/", "type": "pricing_page", "title": "Premium API Key", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://www.alphavantage.co/terms_of_service/", "type": "policy_page", "title": "Alpha Vantage Terms of Service (PDF)", "supports": ["limitations", "description"], "checked_at": "2026-11-02", "note": "Personal, non-commercial use by default; redistribution counts as commercial use" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/ansible.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "ansible",
		3	+ "name": "Ansible",
		4	+ "aliases": ["ansible-core", "Red Hat Ansible Automation Platform"],
		5	+ "vendor": { "name": "Red Hat (Ansible community)", "slug": "red-hat", "website": "https://www.redhat.com" },
		6	+ "homepage_url": "https://www.redhat.com/en/ansible-collaborative",
		7	+ "docs_url": "https://docs.ansible.com/",
		8	+ "repo_url": "https://github.com/ansible/ansible",
		9	+ "license_url": "https://github.com/ansible/ansible/blob/devel/COPYING",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Agentless configuration management and orchestration tool that runs YAML playbooks over SSH, with collections for clouds, network gear and applications",
		13	+ "description": "Ansible is an open-source automation tool sponsored by Red Hat and licensed under GPL-3.0. It needs no agent on managed machines: a control node connects over SSH (or WinRM, or local APIs for cloud services), pushes small Python modules and executes them, then reports changes. Work is described in YAML playbooks composed of tasks that are expected to be idempotent, grouped into roles and distributed as collections through Ansible Galaxy; an inventory file or dynamic inventory plugin lists hosts and their variables.\n\nansible-core is the engine, while the Ansible community package bundles hundreds of collections for Linux packages and services, Docker, Kubernetes, AWS, Azure, Google Cloud, network devices and SaaS APIs. Red Hat sells Ansible Automation Platform, which adds a web controller, RBAC, execution environments and support. The former ansible.com site now redirects to Red Hat's Ansible Collaborative pages.\n\nAnsible shines at configuring fleets of servers, bootstrapping tools and running ad hoc commands across many hosts. Its push model and Python execution are slower than agent-based systems on very large estates, YAML with Jinja2 templating grows unwieldy for complex logic, and it is not a declarative provisioning tool in the way Terraform is.",
		14	+ "capabilities": ["Agentless execution over SSH and WinRM with idempotent modules", "YAML playbooks, roles and reusable collections from Ansible Galaxy", "Static and dynamic inventories with host and group variables", "Jinja2 templating for configuration files", "Ad hoc commands across host groups", "Ansible Vault for encrypting secrets in repositories"],
		15	+ "workflows": ["Harden and configure a fleet of Linux or macOS hosts", "Install runtimes and deploy services after Terraform provisions machines", "Run the same command across every node in a cluster"],
		16	+ "advantages": ["No agents to install or maintain", "Readable YAML and a very large module library", "Works with any host reachable over SSH, including macOS"],
		17	+ "limitations": ["Push execution is slow on very large inventories", "Complex logic in YAML and Jinja2 becomes hard to maintain", "Requires Python on managed hosts for most modules"],
		18	+ "prerequisites": ["Python on the control node", "SSH access and Python on managed hosts"],
		19	+ "audiences": ["System administrators", "DevOps engineers", "Operators of small server or Mac fleets"],
		20	+ "alternatives": ["terraform", "opentofu"],
		21	+ "comparison_notes": "Terraform and OpenTofu provision infrastructure declaratively and track state, whereas Ansible configures what runs inside machines procedurally; the common pattern is Terraform first, Ansible second.",
		22	+ "categories": [{ "slug": "infrastructure-provisioning", "primary": true }],
		23	+ "tags": ["configuration-management", "automation", "ssh", "yaml", "cli", "open-source", "python", "devops"],
		24	+ "use_cases": ["provision-infrastructure", "configure-servers"],
		25	+ "operating_systems": ["linux", "macos"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop", "on-premises"],
		29	+ "integrations": ["SSH", "Docker", "Kubernetes", "AWS", "Azure", "Google Cloud", "Terraform", "Ansible Galaxy"],
		30	+ "data_formats": ["YAML", "Jinja2", "INI inventory"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-3.0-or-later",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.redhat.com/en/ansible-collaborative", "type": "official_site", "title": "Ansible Collaborative | Red Hat", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02", "note": "www.ansible.com redirects to this page." },
		38	+ { "url": "https://docs.ansible.com/", "type": "official_docs", "title": "Ansible Documentation", "supports": ["capabilities", "workflows", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/ansible/ansible/blob/devel/COPYING", "type": "license_page", "title": "Ansible COPYING (GPL-3.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "Ansible Automation Platform is a commercial Red Hat product; no public pricing page is recorded.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B2"
		49	+}

added content/tools/apache-airflow.json +163 −0

				@@ -0,0 +1,163 @@
		1	+{
		2	+ "aliases": [
		3	+ "Airflow"
		4	+ ],
		5	+ "workflows": [
		6	+ "Nightly ELT: extract, load to warehouse, run dbt",
		7	+ "Scheduling ML training and batch inference jobs",
		8	+ "Coordinating cross-system jobs with sensors and triggers"
		9	+ ],
		10	+ "advantages": [
		11	+ "Largest ecosystem of operators and integrations",
		12	+ "Managed services from multiple vendors",
		13	+ "Mature scheduler and UI"
		14	+ ],
		15	+ "limitations": [
		16	+ "Several components to operate (database, scheduler, workers)",
		17	+ "Task-centric model; data passing between tasks is indirect",
		18	+ "Upgrades between major versions require migration effort"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Python environment plus a metadata database (PostgreSQL recommended)"
		22	+ ],
		23	+ "audiences": [
		24	+ "Data engineers",
		25	+ "ML platform teams"
		26	+ ],
		27	+ "alternatives": [
		28	+ "dagster",
		29	+ "prefect",
		30	+ "dbt",
		31	+ "github-actions"
		32	+ ],
		33	+ "tags": [
		34	+ "orchestration",
		35	+ "python",
		36	+ "open-source",
		37	+ "self-hosted",
		38	+ "scheduling"
		39	+ ],
		40	+ "use_cases": [
		41	+ "orchestrate-pipelines",
		42	+ "transform-data"
		43	+ ],
		44	+ "operating_systems": [
		45	+ "linux",
		46	+ "macos"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "managed-cloud"
		51	+ ],
		52	+ "integrations": [
		53	+ "dbt",
		54	+ "Apache Spark",
		55	+ "Kubernetes",
		56	+ "PostgreSQL",
		57	+ "Amazon S3",
		58	+ "Google Cloud",
		59	+ "Snowflake",
		60	+ "Slack"
		61	+ ],
		62	+ "data_formats": [
		63	+ "Python DAG files",
		64	+ "JSON (XCom)"
		65	+ ],
		66	+ "languages": [
		67	+ "Python"
		68	+ ],
		69	+ "self_hostable": true,
		70	+ "discovery_method": "editorial-research",
		71	+ "depth": "standard",
		72	+ "editorial_status": "reviewed",
		73	+ "visibility": "public",
		74	+ "featured": false,
		75	+ "author": "batch-D",
		76	+ "slug": "apache-airflow",
		77	+ "name": "Apache Airflow",
		78	+ "vendor": {
		79	+ "name": "Apache Software Foundation",
		80	+ "slug": "apache-software-foundation",
		81	+ "website": "https://www.apache.org/"
		82	+ },
		83	+ "homepage_url": "https://airflow.apache.org/",
		84	+ "docs_url": "https://airflow.apache.org/docs/",
		85	+ "repo_url": "https://github.com/apache/airflow",
		86	+ "license_url": "https://github.com/apache/airflow/blob/main/LICENSE",
		87	+ "product_type": "platform",
		88	+ "product_status": "active",
		89	+ "summary": "Python workflow orchestrator for scheduling and monitoring DAGs of tasks, with hundreds of provider packages and managed offerings from several clouds",
		90	+ "description": "Apache Airflow is an open-source orchestration platform, originally from Airbnb and now an Apache Software Foundation project under Apache 2.0, for authoring, scheduling and monitoring workflows defined as Python code. Each workflow is a DAG of tasks executed by operators from provider packages that cover databases, cloud services, Spark, dbt, Kubernetes and HTTP APIs; the scheduler handles dependencies, retries, backfills and SLAs, and a web UI shows runs, logs and task state. Airflow 3, released in 2025, introduced a new React UI, a task execution API that isolates workers, DAG versioning, event-driven scheduling and data assets as first-class scheduling triggers.\n\nAirflow is the most widely deployed orchestrator and is available as managed services (Astronomer, Amazon MWAA, Google Cloud Composer). Running it well means operating a metadata database, scheduler, web server and workers (Celery or Kubernetes executors), which is heavier than Dagster or Prefect for small teams. Its task-centric model also handles data-passing between tasks less naturally than asset-oriented tools.",
		91	+ "capabilities": [
		92	+ "DAGs defined in Python with the TaskFlow API",
		93	+ "Scheduler with retries, backfills and dependency handling",
		94	+ "Provider packages for clouds, databases, Spark, dbt and Kubernetes",
		95	+ "Web UI for monitoring runs and logs",
		96	+ "Celery, Kubernetes and local executors",
		97	+ "Asset-based and event-driven scheduling (Airflow 3)"
		98	+ ],
		99	+ "categories": [
		100	+ {
		101	+ "slug": "etl-elt",
		102	+ "primary": true
		103	+ }
		104	+ ],
		105	+ "execution_modes": [
		106	+ "self-hosted",
		107	+ "cloud"
		108	+ ],
		109	+ "interfaces": [
		110	+ "web",
		111	+ "cli",
		112	+ "api",
		113	+ "library"
		114	+ ],
		115	+ "source_model": "open-source",
		116	+ "license_spdx": "Apache-2.0",
		117	+ "pricing_model": [
		118	+ "open-source",
		119	+ "free"
		120	+ ],
		121	+ "sources": [
		122	+ {
		123	+ "url": "https://airflow.apache.org/",
		124	+ "type": "official_site",
		125	+ "supports": [
		126	+ "name",
		127	+ "summary"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "Apache Airflow"
		131	+ },
		132	+ {
		133	+ "url": "https://airflow.apache.org/docs/",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "capabilities",
		137	+ "integrations"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "Airflow documentation"
		141	+ },
		142	+ {
		143	+ "url": "https://github.com/apache/airflow/blob/main/LICENSE",
		144	+ "type": "license_page",
		145	+ "supports": [
		146	+ "license_spdx",
		147	+ "source_model"
		148	+ ],
		149	+ "checked_at": "2026-11-02",
		150	+ "title": "Airflow LICENSE (Apache 2.0)"
		151	+ },
		152	+ {
		153	+ "url": "https://github.com/apache/airflow",
		154	+ "type": "repository",
		155	+ "supports": [
		156	+ "repo_url"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "apache/airflow"
		160	+ }
		161	+ ],
		162	+ "confidence": "high"
		163	+}

added content/tools/apache-arrow.json +205 −0

				@@ -0,0 +1,205 @@
		1	+{
		2	+ "aliases": [
		3	+ "Arrow",
		4	+ "PyArrow",
		5	+ "Arrow Flight",
		6	+ "ADBC"
		7	+ ],
		8	+ "workflows": [
		9	+ "Read a Parquet lake with PyArrow and hand tables to DuckDB or Polars",
		10	+ "Serve query results over Arrow Flight to analysts",
		11	+ "Replace ODBC/JDBC with ADBC drivers for columnar fetches",
		12	+ "Exchange DataFrames between Python, R and Rust processes"
		13	+ ],
		14	+ "advantages": [
		15	+ "Eliminates serialization between analytical tools",
		16	+ "Apache 2.0 and foundation governance",
		17	+ "Reference implementations in many languages",
		18	+ "Widely adopted as the de facto interchange standard"
		19	+ ],
		20	+ "limitations": [
		21	+ "A format and library set, not a database or server",
		22	+ "Columnar layout is poor for row-level updates",
		23	+ "Cross-language version compatibility must be managed",
		24	+ "PyArrow wheels are large and platform-specific"
		25	+ ],
		26	+ "prerequisites": [
		27	+ "A language runtime with an Arrow implementation (e.g. pip install pyarrow)"
		28	+ ],
		29	+ "audiences": [
		30	+ "Data engineers",
		31	+ "Quantitative researchers",
		32	+ "Developers of databases and data tools"
		33	+ ],
		34	+ "alternatives": [
		35	+ "apache-parquet",
		36	+ "polars",
		37	+ "pandas",
		38	+ "duckdb",
		39	+ "apache-datafusion"
		40	+ ],
		41	+ "tags": [
		42	+ "apache-arrow",
		43	+ "columnar",
		44	+ "parquet",
		45	+ "open-source",
		46	+ "python",
		47	+ "rust",
		48	+ "interoperability"
		49	+ ],
		50	+ "use_cases": [
		51	+ "query-parquet-files",
		52	+ "analyze-intraday-data",
		53	+ "exchange-data-between-tools"
		54	+ ],
		55	+ "operating_systems": [
		56	+ "macos",
		57	+ "linux",
		58	+ "windows"
		59	+ ],
		60	+ "deployment_models": [
		61	+ "embedded"
		62	+ ],
		63	+ "integrations": [
		64	+ "DuckDB",
		65	+ "Polars",
		66	+ "pandas",
		67	+ "Apache Spark",
		68	+ "Apache DataFusion",
		69	+ "Snowflake",
		70	+ "BigQuery",
		71	+ "R (arrow package)"
		72	+ ],
		73	+ "data_formats": [
		74	+ "Arrow IPC",
		75	+ "Parquet",
		76	+ "CSV",
		77	+ "JSON",
		78	+ "ORC",
		79	+ "Feather"
		80	+ ],
		81	+ "languages": [
		82	+ "C++",
		83	+ "Python",
		84	+ "Rust",
		85	+ "Java",
		86	+ "Go",
		87	+ "C#",
		88	+ "JavaScript",
		89	+ "R",
		90	+ "Ruby",
		91	+ "Swift",
		92	+ "Julia"
		93	+ ],
		94	+ "self_hostable": true,
		95	+ "discovery_method": "editorial-research",
		96	+ "depth": "deep",
		97	+ "editorial_status": "reviewed",
		98	+ "visibility": "public",
		99	+ "featured": true,
		100	+ "author": "batch-D",
		101	+ "slug": "apache-arrow",
		102	+ "name": "Apache Arrow",
		103	+ "vendor": {
		104	+ "name": "Apache Software Foundation",
		105	+ "slug": "apache-software-foundation",
		106	+ "website": "https://www.apache.org/"
		107	+ },
		108	+ "homepage_url": "https://arrow.apache.org/",
		109	+ "docs_url": "https://arrow.apache.org/docs/",
		110	+ "repo_url": "https://github.com/apache/arrow",
		111	+ "license_url": "https://github.com/apache/arrow/blob/main/LICENSE.txt",
		112	+ "product_type": "specification",
		113	+ "product_status": "active",
		114	+ "summary": "Language-independent columnar in-memory format and libraries that let DuckDB, Polars, pandas, Spark and databases exchange tables without copying",
		115	+ "description": "Apache Arrow is an Apache Software Foundation project that defines a language-independent columnar memory format for tabular data together with libraries that implement it in C++, Python (PyArrow), Rust, Java, Go, C#, JavaScript, R, Ruby, Swift and others. Because every implementation lays out arrays identically in memory, systems can hand each other tables by pointer rather than by serializing and parsing, which is why Arrow has become the interchange layer between DuckDB, Polars, pandas, Spark, DataFusion, Snowflake and many databases and file readers.\n\nBeyond the format, the project specifies the Arrow IPC stream and file formats for moving record batches over sockets or disk, the Arrow Flight RPC protocol and Flight SQL for high-throughput data services, ADBC as a columnar replacement for ODBC and JDBC drivers, and the C Data Interface for zero-copy sharing between libraries in the same process. The C++ library includes Parquet, CSV, JSON and ORC readers and writers, dataset scanning over partitioned directories and object stores, and the Acero compute engine; PyArrow exposes these to Python and backs the Arrow-native dtypes in pandas.\n\nFor a researcher the practical effect is that a Parquet archive read with PyArrow can be queried by DuckDB, transformed by Polars and plotted from pandas with few or no conversions. Arrow is released under Apache 2.0. Its limits are those of a format and toolkit rather than a product: there is no server or storage to deploy, in-memory layouts favor analytical scans over row-at-a-time updates, and library versions across languages must be kept compatible when sharing data through the C interface.",
		116	+ "capabilities": [
		117	+ "Standardized columnar in-memory layout for tables and nested types",
		118	+ "IPC stream and file formats for record batches",
		119	+ "Arrow Flight and Flight SQL RPC protocols",
		120	+ "ADBC database connectivity API",
		121	+ "C Data Interface for zero-copy in-process sharing",
		122	+ "Parquet, CSV, JSON and ORC readers and writers (C++/PyArrow)",
		123	+ "Dataset API for partitioned files on local disk and object storage",
		124	+ "Implementations in more than ten languages"
		125	+ ],
		126	+ "comparison_notes": "Apache Parquet is the on-disk columnar companion to Arrow's in-memory format; the two are designed to convert efficiently and are maintained by overlapping communities. Polars and DataFusion are engines built directly on Arrow memory, while pandas adopted Arrow-backed dtypes alongside its NumPy legacy. DuckDB has its own internal vectors but imports and exports Arrow without copies. None of these replace Arrow; they are consumers of it.",
		127	+ "categories": [
		128	+ {
		129	+ "slug": "data-catalogs",
		130	+ "primary": true
		131	+ },
		132	+ {
		133	+ "slug": "dataframes-arrays"
		134	+ },
		135	+ {
		136	+ "slug": "analytics-engines"
		137	+ }
		138	+ ],
		139	+ "execution_modes": [
		140	+ "local"
		141	+ ],
		142	+ "interfaces": [
		143	+ "library",
		144	+ "sdk"
		145	+ ],
		146	+ "source_model": "open-source",
		147	+ "license_spdx": "Apache-2.0",
		148	+ "pricing_model": [
		149	+ "open-source",
		150	+ "free"
		151	+ ],
		152	+ "sources": [
		153	+ {
		154	+ "url": "https://arrow.apache.org/",
		155	+ "type": "official_site",
		156	+ "supports": [
		157	+ "name",
		158	+ "summary",
		159	+ "languages"
		160	+ ],
		161	+ "checked_at": "2026-11-02",
		162	+ "title": "Apache Arrow"
		163	+ },
		164	+ {
		165	+ "url": "https://arrow.apache.org/docs/",
		166	+ "type": "official_docs",
		167	+ "supports": [
		168	+ "capabilities",
		169	+ "data_formats"
		170	+ ],
		171	+ "checked_at": "2026-11-02",
		172	+ "title": "Apache Arrow Documentation"
		173	+ },
		174	+ {
		175	+ "url": "https://arrow.apache.org/docs/format/Columnar.html",
		176	+ "type": "official_docs",
		177	+ "supports": [
		178	+ "product_type",
		179	+ "capabilities"
		180	+ ],
		181	+ "checked_at": "2026-11-02",
		182	+ "title": "Arrow Columnar Format specification"
		183	+ },
		184	+ {
		185	+ "url": "https://github.com/apache/arrow/blob/main/LICENSE.txt",
		186	+ "type": "license_page",
		187	+ "supports": [
		188	+ "license_spdx",
		189	+ "source_model"
		190	+ ],
		191	+ "checked_at": "2026-11-02",
		192	+ "title": "Apache Arrow LICENSE.txt"
		193	+ },
		194	+ {
		195	+ "url": "https://github.com/apache/arrow",
		196	+ "type": "repository",
		197	+ "supports": [
		198	+ "repo_url"
		199	+ ],
		200	+ "checked_at": "2026-11-02",
		201	+ "title": "apache/arrow"
		202	+ }
		203	+ ],
		204	+ "confidence": "high"
		205	+}

added content/tools/apache-datafusion.json +162 −0

				@@ -0,0 +1,162 @@
		1	+{
		2	+ "aliases": [
		3	+ "DataFusion",
		4	+ "Arrow DataFusion"
		5	+ ],
		6	+ "workflows": [
		7	+ "Embed a SQL engine in a Rust data service",
		8	+ "Query Parquet files from Python without a database",
		9	+ "Build a custom analytics product on an extensible planner"
		10	+ ],
		11	+ "advantages": [
		12	+ "Designed for extension and embedding",
		13	+ "Rust safety and performance with Arrow memory",
		14	+ "Apache 2.0 under ASF governance"
		15	+ ],
		16	+ "limitations": [
		17	+ "Less turnkey than DuckDB for interactive use",
		18	+ "Distributed execution needs Ballista or another layer",
		19	+ "Smaller SQL function library than mature databases"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "Rust toolchain or Python with the datafusion package"
		23	+ ],
		24	+ "audiences": [
		25	+ "Developers of data systems",
		26	+ "Rust engineers",
		27	+ "Python users querying Parquet"
		28	+ ],
		29	+ "alternatives": [
		30	+ "duckdb",
		31	+ "polars",
		32	+ "apache-spark",
		33	+ "trino",
		34	+ "apache-arrow"
		35	+ ],
		36	+ "tags": [
		37	+ "sql",
		38	+ "rust",
		39	+ "apache-arrow",
		40	+ "parquet",
		41	+ "query-engine",
		42	+ "open-source"
		43	+ ],
		44	+ "use_cases": [
		45	+ "query-parquet-files",
		46	+ "build-data-systems"
		47	+ ],
		48	+ "operating_systems": [
		49	+ "macos",
		50	+ "linux",
		51	+ "windows"
		52	+ ],
		53	+ "deployment_models": [
		54	+ "embedded"
		55	+ ],
		56	+ "integrations": [
		57	+ "Apache Arrow",
		58	+ "Ballista",
		59	+ "Apache Comet",
		60	+ "InfluxDB 3",
		61	+ "Delta Lake (delta-rs)",
		62	+ "Apache Iceberg (iceberg-rust)"
		63	+ ],
		64	+ "data_formats": [
		65	+ "Parquet",
		66	+ "CSV",
		67	+ "JSON",
		68	+ "Avro",
		69	+ "Arrow IPC"
		70	+ ],
		71	+ "languages": [
		72	+ "Rust",
		73	+ "Python",
		74	+ "SQL"
		75	+ ],
		76	+ "self_hostable": true,
		77	+ "discovery_method": "editorial-research",
		78	+ "depth": "standard",
		79	+ "editorial_status": "reviewed",
		80	+ "visibility": "public",
		81	+ "featured": false,
		82	+ "author": "batch-D",
		83	+ "slug": "apache-datafusion",
		84	+ "name": "Apache DataFusion",
		85	+ "vendor": {
		86	+ "name": "Apache Software Foundation",
		87	+ "slug": "apache-software-foundation",
		88	+ "website": "https://www.apache.org/"
		89	+ },
		90	+ "homepage_url": "https://datafusion.apache.org/",
		91	+ "docs_url": "https://datafusion.apache.org/",
		92	+ "repo_url": "https://github.com/apache/datafusion",
		93	+ "license_url": "https://github.com/apache/datafusion/blob/main/LICENSE.txt",
		94	+ "product_type": "library",
		95	+ "product_status": "active",
		96	+ "summary": "Extensible Rust query engine built on Apache Arrow offering SQL and DataFrame APIs, Parquet readers and an optimizer for embedding in data systems",
		97	+ "description": "Apache DataFusion is a query engine library written in Rust and maintained as an Apache Software Foundation top-level project under Apache 2.0. It parses SQL or builds plans from a DataFrame API, optimizes them with rule-based and cost-aware passes, and executes them as multithreaded, vectorized streams of Apache Arrow record batches, reading Parquet, CSV, JSON and Avro from local disk or object stores. Every layer (parser, planner, optimizer rules, physical operators, table providers, functions) is designed to be extended or replaced, which is why DataFusion serves as the engine inside systems such as InfluxDB 3, the Comet accelerator for Spark, Ballista for distributed execution and many commercial products. Python bindings (datafusion) expose SQL and DataFrames to notebooks, and a CLI runs ad-hoc queries over files.\n\nDataFusion is the right starting point for building a database, lake query service or domain-specific analytics tool in Rust, and a capable single-node engine for Parquet in Python. As an end-user tool it has less polish and fewer convenience features than DuckDB or Polars, and distributed execution requires additional projects.",
		98	+ "capabilities": [
		99	+ "SQL parser, planner and optimizer in Rust",
		100	+ "Vectorized execution on Arrow record batches",
		101	+ "Parquet, CSV, JSON and Avro readers with object-store support",
		102	+ "Pluggable table providers, functions and optimizer rules",
		103	+ "DataFrame API in Rust and Python",
		104	+ "Command-line interface for querying files"
		105	+ ],
		106	+ "categories": [
		107	+ {
		108	+ "slug": "analytics-engines",
		109	+ "primary": true
		110	+ },
		111	+ {
		112	+ "slug": "dataframes-arrays"
		113	+ }
		114	+ ],
		115	+ "execution_modes": [
		116	+ "local"
		117	+ ],
		118	+ "interfaces": [
		119	+ "library",
		120	+ "cli"
		121	+ ],
		122	+ "source_model": "open-source",
		123	+ "license_spdx": "Apache-2.0",
		124	+ "pricing_model": [
		125	+ "open-source",
		126	+ "free"
		127	+ ],
		128	+ "sources": [
		129	+ {
		130	+ "url": "https://datafusion.apache.org/",
		131	+ "type": "official_site",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary",
		135	+ "capabilities"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "Apache DataFusion",
		139	+ "note": "Site doubles as documentation portal"
		140	+ },
		141	+ {
		142	+ "url": "https://github.com/apache/datafusion/blob/main/LICENSE.txt",
		143	+ "type": "license_page",
		144	+ "supports": [
		145	+ "license_spdx",
		146	+ "source_model"
		147	+ ],
		148	+ "checked_at": "2026-11-02",
		149	+ "title": "DataFusion LICENSE.txt (Apache 2.0)"
		150	+ },
		151	+ {
		152	+ "url": "https://github.com/apache/datafusion",
		153	+ "type": "repository",
		154	+ "supports": [
		155	+ "repo_url"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "title": "apache/datafusion"
		159	+ }
		160	+ ],
		161	+ "confidence": "high"
		162	+}

added content/tools/apache-iceberg.json +169 −0

				@@ -0,0 +1,169 @@
		1	+{
		2	+ "aliases": [
		3	+ "Iceberg",
		4	+ "PyIceberg"
		5	+ ],
		6	+ "workflows": [
		7	+ "Shared lakehouse tables read by Trino and written by Spark",
		8	+ "Incremental ingestion with snapshot-based change reads",
		9	+ "Reading a governed table from Python via PyIceberg and Arrow"
		10	+ ],
		11	+ "advantages": [
		12	+ "Vendor-neutral format with broad engine support",
		13	+ "Transactions and time travel on plain object storage",
		14	+ "Partition changes without data migration"
		15	+ ],
		16	+ "limitations": [
		17	+ "Requires a catalog service and maintenance jobs",
		18	+ "Overkill for single-user local analytics",
		19	+ "Write support in lightweight engines is still partial"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "Object or file storage plus a catalog; an engine or PyIceberg client"
		23	+ ],
		24	+ "audiences": [
		25	+ "Data platform engineers",
		26	+ "Analytics teams sharing lake data across engines"
		27	+ ],
		28	+ "alternatives": [
		29	+ "delta-lake",
		30	+ "apache-parquet",
		31	+ "duckdb",
		32	+ "apache-spark"
		33	+ ],
		34	+ "tags": [
		35	+ "lakehouse",
		36	+ "table-format",
		37	+ "parquet",
		38	+ "open-source",
		39	+ "data-lake"
		40	+ ],
		41	+ "use_cases": [
		42	+ "query-parquet-files",
		43	+ "govern-lake-data"
		44	+ ],
		45	+ "operating_systems": [
		46	+ "any"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "managed-cloud"
		51	+ ],
		52	+ "integrations": [
		53	+ "Apache Spark",
		54	+ "Trino",
		55	+ "Apache Flink",
		56	+ "DuckDB",
		57	+ "ClickHouse",
		58	+ "Snowflake",
		59	+ "AWS Glue",
		60	+ "Apache Polaris"
		61	+ ],
		62	+ "data_formats": [
		63	+ "Parquet",
		64	+ "ORC",
		65	+ "Avro",
		66	+ "Iceberg metadata (JSON/Avro)"
		67	+ ],
		68	+ "languages": [
		69	+ "Java",
		70	+ "Python",
		71	+ "Rust",
		72	+ "Go"
		73	+ ],
		74	+ "self_hostable": true,
		75	+ "discovery_method": "editorial-research",
		76	+ "depth": "standard",
		77	+ "editorial_status": "reviewed",
		78	+ "visibility": "public",
		79	+ "featured": false,
		80	+ "author": "batch-D",
		81	+ "slug": "apache-iceberg",
		82	+ "name": "Apache Iceberg",
		83	+ "vendor": {
		84	+ "name": "Apache Software Foundation",
		85	+ "slug": "apache-software-foundation",
		86	+ "website": "https://www.apache.org/"
		87	+ },
		88	+ "homepage_url": "https://iceberg.apache.org/",
		89	+ "docs_url": "https://iceberg.apache.org/docs/latest/",
		90	+ "repo_url": "https://github.com/apache/iceberg",
		91	+ "license_url": "https://github.com/apache/iceberg/blob/main/LICENSE",
		92	+ "product_type": "specification",
		93	+ "product_status": "active",
		94	+ "summary": "Open table format for data lakes that adds ACID snapshots, schema and partition evolution and time travel over Parquet, ORC or Avro files",
		95	+ "description": "Apache Iceberg is an open table format maintained by the Apache Software Foundation under Apache 2.0. It defines metadata (table metadata files, manifest lists and manifests) that tracks which Parquet, ORC or Avro data files make up each snapshot of a table, so that engines can commit atomic changes, read a consistent snapshot, travel back in time, evolve schemas and change partitioning without rewriting data. Hidden partitioning lets queries filter on raw columns while the layout stays an implementation detail. The REST catalog specification standardizes how engines discover and update tables, and catalogs such as Apache Polaris, Nessie, AWS Glue and vendor offerings implement it.\n\nIceberg is supported by Spark, Trino, Flink, DuckDB, ClickHouse, Snowflake, BigQuery, Athena, Dremio and PyIceberg, the Python client used to read tables into Arrow or write small batches. It is the usual answer when several engines must share one governed copy of lake data. The cost is metadata and catalog operations to run and maintain, compaction and snapshot expiration jobs to schedule, and the fact that single-user analytics on local Parquet rarely needs it.",
		96	+ "capabilities": [
		97	+ "Atomic snapshots and serializable commits over object storage",
		98	+ "Schema evolution and partition evolution without rewrites",
		99	+ "Hidden partitioning and time travel",
		100	+ "Manifest-based file pruning with column statistics",
		101	+ "REST catalog specification",
		102	+ "Support in Spark, Trino, Flink, DuckDB, ClickHouse and PyIceberg"
		103	+ ],
		104	+ "categories": [
		105	+ {
		106	+ "slug": "data-catalogs",
		107	+ "primary": true
		108	+ },
		109	+ {
		110	+ "slug": "analytics-engines"
		111	+ }
		112	+ ],
		113	+ "execution_modes": [
		114	+ "self-hosted",
		115	+ "cloud"
		116	+ ],
		117	+ "interfaces": [
		118	+ "library",
		119	+ "api"
		120	+ ],
		121	+ "source_model": "open-source",
		122	+ "license_spdx": "Apache-2.0",
		123	+ "pricing_model": [
		124	+ "open-source",
		125	+ "free"
		126	+ ],
		127	+ "sources": [
		128	+ {
		129	+ "url": "https://iceberg.apache.org/",
		130	+ "type": "official_site",
		131	+ "supports": [
		132	+ "name",
		133	+ "summary"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "Apache Iceberg"
		137	+ },
		138	+ {
		139	+ "url": "https://iceberg.apache.org/docs/latest/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "capabilities",
		143	+ "integrations"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Iceberg documentation"
		147	+ },
		148	+ {
		149	+ "url": "https://github.com/apache/iceberg/blob/main/LICENSE",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "license_spdx",
		153	+ "source_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Iceberg LICENSE (Apache 2.0)"
		157	+ },
		158	+ {
		159	+ "url": "https://github.com/apache/iceberg",
		160	+ "type": "repository",
		161	+ "supports": [
		162	+ "repo_url"
		163	+ ],
		164	+ "checked_at": "2026-11-02",
		165	+ "title": "apache/iceberg"
		166	+ }
		167	+ ],
		168	+ "confidence": "high"
		169	+}

added content/tools/apache-kafka.json +182 −0

				@@ -0,0 +1,182 @@
		1	+{
		2	+ "aliases": [
		3	+ "Kafka"
		4	+ ],
		5	+ "workflows": [
		6	+ "Change-data capture from PostgreSQL into a lake or search index",
		7	+ "Event bus between microservices",
		8	+ "Ingesting market data or telemetry for real-time analytics",
		9	+ "Log pipeline feeding ClickHouse or Elasticsearch"
		10	+ ],
		11	+ "advantages": [
		12	+ "Durable replayable history decouples producers and consumers",
		13	+ "Horizontal scalability and high throughput",
		14	+ "Large connector and processing ecosystem",
		15	+ "Multiple managed offerings and compatible alternatives"
		16	+ ],
		17	+ "limitations": [
		18	+ "Cluster operations and JVM tuning are demanding",
		19	+ "Ordering guaranteed only within a partition",
		20	+ "No message priorities or per-message routing like AMQP brokers",
		21	+ "Overkill for simple job queues"
		22	+ ],
		23	+ "prerequisites": [
		24	+ "JVM and several broker nodes for production, or a managed service"
		25	+ ],
		26	+ "audiences": [
		27	+ "Platform and data engineers",
		28	+ "Backend teams building event-driven systems"
		29	+ ],
		30	+ "alternatives": [
		31	+ "rabbitmq",
		32	+ "nats",
		33	+ "redis",
		34	+ "pg-boss",
		35	+ "bullmq"
		36	+ ],
		37	+ "tags": [
		38	+ "streaming",
		39	+ "event-driven",
		40	+ "open-source",
		41	+ "self-hosted",
		42	+ "java",
		43	+ "time-series"
		44	+ ],
		45	+ "use_cases": [
		46	+ "stream-events",
		47	+ "analyze-intraday-data",
		48	+ "monitor-services"
		49	+ ],
		50	+ "operating_systems": [
		51	+ "linux",
		52	+ "macos",
		53	+ "windows"
		54	+ ],
		55	+ "deployment_models": [
		56	+ "on-premises",
		57	+ "managed-cloud"
		58	+ ],
		59	+ "integrations": [
		60	+ "Kafka Connect",
		61	+ "Apache Flink",
		62	+ "Apache Spark",
		63	+ "ClickHouse",
		64	+ "Elasticsearch",
		65	+ "PostgreSQL (Debezium)",
		66	+ "Confluent Schema Registry",
		67	+ "Milvus"
		68	+ ],
		69	+ "data_formats": [
		70	+ "Byte records (Avro, Protobuf, JSON Schema via registry)"
		71	+ ],
		72	+ "languages": [
		73	+ "Java",
		74	+ "Scala",
		75	+ "Python",
		76	+ "Go",
		77	+ "JavaScript",
		78	+ "C#",
		79	+ "Rust",
		80	+ "C/C++"
		81	+ ],
		82	+ "self_hostable": true,
		83	+ "discovery_method": "editorial-research",
		84	+ "depth": "deep",
		85	+ "editorial_status": "reviewed",
		86	+ "visibility": "public",
		87	+ "featured": false,
		88	+ "author": "batch-D",
		89	+ "slug": "apache-kafka",
		90	+ "name": "Apache Kafka",
		91	+ "vendor": {
		92	+ "name": "Apache Software Foundation",
		93	+ "slug": "apache-software-foundation",
		94	+ "website": "https://www.apache.org/"
		95	+ },
		96	+ "homepage_url": "https://kafka.apache.org/",
		97	+ "docs_url": "https://kafka.apache.org/documentation/",
		98	+ "repo_url": "https://github.com/apache/kafka",
		99	+ "license_url": "https://github.com/apache/kafka/blob/trunk/LICENSE",
		100	+ "product_type": "platform",
		101	+ "product_status": "active",
		102	+ "summary": "Distributed event streaming platform with durable, partitioned, replayable logs, Kafka Connect connectors and Kafka Streams processing",
		103	+ "description": "Apache Kafka is an open-source distributed event streaming platform maintained by the Apache Software Foundation under Apache 2.0. Producers append records to topics that are split into partitions and replicated across brokers; consumers read partitions at their own offsets, so the same stream can feed many independent applications and be replayed from retained history. Since the 4.0 release the KRaft consensus protocol replaces ZooKeeper for cluster metadata, reducing the components to operate. Kafka Connect runs source and sink connectors for databases, object storage, search engines and SaaS systems, Kafka Streams is a Java library for stateful stream processing, and the ecosystem adds schema registries, Flink or ksqlDB processing and clients for Java, Python, Go, JavaScript, .NET and Rust, many based on librdkafka.\n\nKafka is the backbone for event-driven architectures, change-data capture, log and metrics pipelines, and real-time feature or market-data feeds. Managed services (Confluent Cloud, Amazon MSK, Aiven, Redpanda's compatible platform) remove most operations, and Confluent develops much of the ecosystem commercially.\n\nIt is a heavyweight choice for small systems: a JVM-based cluster with careful partition, retention and consumer-group design is needed, ordering is per partition only, there is no per-message acknowledgement or priority queueing in the style of RabbitMQ, and latency is tuned for throughput rather than sub-millisecond delivery. For a single application that only needs a job queue, RabbitMQ, NATS, pg-boss or BullMQ are lighter alternatives.",
		104	+ "capabilities": [
		105	+ "Partitioned, replicated, append-only topic logs with configurable retention",
		106	+ "Consumer groups with offsets and replay",
		107	+ "KRaft metadata consensus without ZooKeeper",
		108	+ "Kafka Connect source and sink connectors",
		109	+ "Kafka Streams library for stateful processing",
		110	+ "Exactly-once semantics and transactions",
		111	+ "Tiered storage and compaction",
		112	+ "Clients in Java, Python, Go, JavaScript, .NET, Rust and more"
		113	+ ],
		114	+ "comparison_notes": "RabbitMQ is a message broker with flexible routing, acknowledgements and priorities but, outside its Streams feature, deletes messages once consumed, whereas Kafka keeps a replayable log. NATS offers a lightweight core pub/sub with JetStream persistence and far simpler operations at smaller scale. Redis Streams, pg-boss and BullMQ are application-level queues that reuse Redis or PostgreSQL and fit single-application job processing rather than organization-wide streaming.",
		115	+ "categories": [
		116	+ {
		117	+ "slug": "messaging-queues",
		118	+ "primary": true
		119	+ },
		120	+ {
		121	+ "slug": "etl-elt"
		122	+ }
		123	+ ],
		124	+ "execution_modes": [
		125	+ "self-hosted",
		126	+ "cloud"
		127	+ ],
		128	+ "interfaces": [
		129	+ "api",
		130	+ "cli",
		131	+ "library",
		132	+ "sdk"
		133	+ ],
		134	+ "source_model": "open-source",
		135	+ "license_spdx": "Apache-2.0",
		136	+ "pricing_model": [
		137	+ "open-source",
		138	+ "free"
		139	+ ],
		140	+ "sources": [
		141	+ {
		142	+ "url": "https://kafka.apache.org/",
		143	+ "type": "official_site",
		144	+ "supports": [
		145	+ "name",
		146	+ "summary"
		147	+ ],
		148	+ "checked_at": "2026-11-02",
		149	+ "title": "Apache Kafka"
		150	+ },
		151	+ {
		152	+ "url": "https://kafka.apache.org/documentation/",
		153	+ "type": "official_docs",
		154	+ "supports": [
		155	+ "capabilities",
		156	+ "languages"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "Kafka documentation"
		160	+ },
		161	+ {
		162	+ "url": "https://github.com/apache/kafka/blob/trunk/LICENSE",
		163	+ "type": "license_page",
		164	+ "supports": [
		165	+ "license_spdx",
		166	+ "source_model"
		167	+ ],
		168	+ "checked_at": "2026-11-02",
		169	+ "title": "Kafka LICENSE (Apache 2.0)"
		170	+ },
		171	+ {
		172	+ "url": "https://github.com/apache/kafka",
		173	+ "type": "repository",
		174	+ "supports": [
		175	+ "repo_url"
		176	+ ],
		177	+ "checked_at": "2026-11-02",
		178	+ "title": "apache/kafka"
		179	+ }
		180	+ ],
		181	+ "confidence": "high"
		182	+}

added content/tools/apache-parquet.json +186 −0

				@@ -0,0 +1,186 @@
		1	+{
		2	+ "aliases": [
		3	+ "Parquet"
		4	+ ],
		5	+ "workflows": [
		6	+ "Archive minute-bar or tick data partitioned by year and symbol",
		7	+ "Store ETL outputs for DuckDB, Polars or Spark consumers",
		8	+ "Exchange datasets between Python, R and JVM tooling",
		9	+ "Underlying files for Iceberg or Delta Lake tables"
		10	+ ],
		11	+ "advantages": [
		12	+ "Compact storage and fast column scans",
		13	+ "Supported by virtually all analytical engines",
		14	+ "Statistics enable data skipping",
		15	+ "Vendor-neutral Apache 2.0 specification"
		16	+ ],
		17	+ "limitations": [
		18	+ "Immutable files; updates require rewrites or a table format",
		19	+ "Many small files degrade performance",
		20	+ "Feature support varies between implementations",
		21	+ "Not suited to row-by-row transactional access"
		22	+ ],
		23	+ "prerequisites": [
		24	+ "A library or engine with a Parquet reader (PyArrow, DuckDB, Polars, Spark…)"
		25	+ ],
		26	+ "audiences": [
		27	+ "Data engineers",
		28	+ "Quantitative and empirical researchers",
		29	+ "Analysts working on data lakes"
		30	+ ],
		31	+ "alternatives": [
		32	+ "apache-arrow",
		33	+ "apache-iceberg",
		34	+ "delta-lake",
		35	+ "duckdb",
		36	+ "sqlite"
		37	+ ],
		38	+ "tags": [
		39	+ "parquet",
		40	+ "columnar",
		41	+ "data-lake",
		42	+ "open-source",
		43	+ "apache-arrow"
		44	+ ],
		45	+ "use_cases": [
		46	+ "query-parquet-files",
		47	+ "analyze-intraday-data",
		48	+ "archive-datasets"
		49	+ ],
		50	+ "operating_systems": [
		51	+ "any"
		52	+ ],
		53	+ "deployment_models": [
		54	+ "embedded"
		55	+ ],
		56	+ "integrations": [
		57	+ "Apache Arrow",
		58	+ "DuckDB",
		59	+ "Polars",
		60	+ "pandas",
		61	+ "Apache Spark",
		62	+ "Trino",
		63	+ "Apache Iceberg",
		64	+ "Delta Lake",
		65	+ "ClickHouse"
		66	+ ],
		67	+ "data_formats": [
		68	+ "Parquet"
		69	+ ],
		70	+ "languages": [
		71	+ "C++",
		72	+ "Java",
		73	+ "Rust",
		74	+ "Python",
		75	+ "Go",
		76	+ "R"
		77	+ ],
		78	+ "self_hostable": true,
		79	+ "discovery_method": "editorial-research",
		80	+ "depth": "deep",
		81	+ "editorial_status": "reviewed",
		82	+ "visibility": "public",
		83	+ "featured": false,
		84	+ "author": "batch-D",
		85	+ "slug": "apache-parquet",
		86	+ "name": "Apache Parquet",
		87	+ "vendor": {
		88	+ "name": "Apache Software Foundation",
		89	+ "slug": "apache-software-foundation",
		90	+ "website": "https://www.apache.org/"
		91	+ },
		92	+ "homepage_url": "https://parquet.apache.org/",
		93	+ "docs_url": "https://parquet.apache.org/docs/",
		94	+ "repo_url": "https://github.com/apache/parquet-format",
		95	+ "license_url": "https://github.com/apache/parquet-format/blob/master/LICENSE",
		96	+ "product_type": "specification",
		97	+ "product_status": "active",
		98	+ "summary": "Open columnar file format for analytical data with compression, encodings and statistics, readable by nearly every data engine and library",
		99	+ "description": "Apache Parquet is a columnar storage file format specified by an Apache Software Foundation project and implemented in C++ (via Apache Arrow), Java (parquet-java), Rust (via arrow-rs), Go and other languages. A Parquet file organizes rows into row groups and, within each, stores every column contiguously as pages with per-column encodings (dictionary, run-length, delta, byte-stream split) and compression codecs (Snappy, Zstandard, gzip, LZ4, Brotli). The footer carries the schema plus min/max statistics, and optional page indexes and Bloom filters let readers skip row groups and pages that cannot match a predicate. Nested data is represented with the Dremel record-shredding model, so lists and structs are first-class.\n\nParquet is the default storage layer for data lakes and lakehouses: Spark, Trino, DuckDB, Polars, pandas (through PyArrow or fastparquet), DataFusion, ClickHouse, BigQuery, Snowflake and Athena all read and write it, and table formats such as Apache Iceberg and Delta Lake manage collections of Parquet files. For a research group it is the natural archive for tick or minute-bar histories, filings extractions and panel datasets: columns compress well, partitioned directories allow year/month pruning, and a single laptop can query hundreds of gigabytes directly.\n\nThe format is write-once: files are immutable and appends or updates mean rewriting files or using a table format on top. Small files and tiny row groups hurt performance, schema evolution needs care across engines, and features such as the newer encodings, page indexes or geospatial logical types are not supported uniformly by every reader, so pinning writer settings for compatibility is common practice. The specification is Apache 2.0.",
		100	+ "capabilities": [
		101	+ "Columnar layout with row groups, column chunks and pages",
		102	+ "Encodings: dictionary, RLE/bit-packing, delta, byte-stream split",
		103	+ "Compression codecs including Snappy, Zstandard, gzip and LZ4",
		104	+ "Column statistics, page indexes and Bloom filters for predicate pushdown",
		105	+ "Nested types via the Dremel shredding model",
		106	+ "Logical types for timestamps, decimals, UUIDs and more",
		107	+ "Implementations in C++, Java, Rust, Go, Python and others"
		108	+ ],
		109	+ "comparison_notes": "Apache Arrow is the in-memory counterpart designed for fast conversion to and from Parquet; Arrow IPC files can also be used on disk but with less compression. Iceberg and Delta Lake are table formats layered over Parquet files that add transactions, schema evolution and time travel. DuckDB and SQLite are databases with their own file formats; DuckDB reads Parquet natively and is often used as the query layer over Parquet archives.",
		110	+ "categories": [
		111	+ {
		112	+ "slug": "data-catalogs",
		113	+ "primary": true
		114	+ },
		115	+ {
		116	+ "slug": "analytics-engines"
		117	+ },
		118	+ {
		119	+ "slug": "hf-finance-research",
		120	+ "label": "Standard archive format for intraday bars"
		121	+ }
		122	+ ],
		123	+ "execution_modes": [
		124	+ "local"
		125	+ ],
		126	+ "interfaces": [
		127	+ "library"
		128	+ ],
		129	+ "source_model": "open-source",
		130	+ "license_spdx": "Apache-2.0",
		131	+ "pricing_model": [
		132	+ "open-source",
		133	+ "free"
		134	+ ],
		135	+ "sources": [
		136	+ {
		137	+ "url": "https://parquet.apache.org/",
		138	+ "type": "official_site",
		139	+ "supports": [
		140	+ "name",
		141	+ "summary"
		142	+ ],
		143	+ "checked_at": "2026-11-02",
		144	+ "title": "Apache Parquet"
		145	+ },
		146	+ {
		147	+ "url": "https://parquet.apache.org/docs/",
		148	+ "type": "official_docs",
		149	+ "supports": [
		150	+ "capabilities"
		151	+ ],
		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Parquet documentation"
		154	+ },
		155	+ {
		156	+ "url": "https://parquet.apache.org/docs/file-format/",
		157	+ "type": "official_docs",
		158	+ "supports": [
		159	+ "capabilities",
		160	+ "product_type"
		161	+ ],
		162	+ "checked_at": "2026-11-02",
		163	+ "title": "Parquet file format specification"
		164	+ },
		165	+ {
		166	+ "url": "https://github.com/apache/parquet-format/blob/master/LICENSE",
		167	+ "type": "license_page",
		168	+ "supports": [
		169	+ "license_spdx",
		170	+ "source_model"
		171	+ ],
		172	+ "checked_at": "2026-11-02",
		173	+ "title": "parquet-format LICENSE (Apache 2.0)"
		174	+ },
		175	+ {
		176	+ "url": "https://github.com/apache/parquet-format",
		177	+ "type": "repository",
		178	+ "supports": [
		179	+ "repo_url"
		180	+ ],
		181	+ "checked_at": "2026-11-02",
		182	+ "title": "apache/parquet-format"
		183	+ }
		184	+ ],
		185	+ "confidence": "high"
		186	+}

added content/tools/apache-spark.json +185 −0

				@@ -0,0 +1,185 @@
		1	+{
		2	+ "aliases": [
		3	+ "Spark",
		4	+ "PySpark",
		5	+ "Spark SQL"
		6	+ ],
		7	+ "workflows": [
		8	+ "Large-scale ETL into a lakehouse",
		9	+ "Streaming aggregation of event data from Kafka",
		10	+ "Distributed feature engineering and model training"
		11	+ ],
		12	+ "advantages": [
		13	+ "Scales from a laptop to thousands of nodes",
		14	+ "Unified batch, streaming and ML APIs",
		15	+ "Wide managed-service availability"
		16	+ ],
		17	+ "limitations": [
		18	+ "JVM startup and configuration overhead for small data",
		19	+ "Shuffle and memory tuning require expertise",
		20	+ "Python UDFs incur serialization costs"
		21	+ ],
		22	+ "prerequisites": [
		23	+ "Java runtime; Python for PySpark; a cluster manager for distributed runs"
		24	+ ],
		25	+ "audiences": [
		26	+ "Data engineers",
		27	+ "ML engineers on large datasets"
		28	+ ],
		29	+ "alternatives": [
		30	+ "duckdb",
		31	+ "polars",
		32	+ "trino",
		33	+ "dask",
		34	+ "ray",
		35	+ "clickhouse"
		36	+ ],
		37	+ "tags": [
		38	+ "distributed-computing",
		39	+ "sql",
		40	+ "parquet",
		41	+ "streaming",
		42	+ "open-source",
		43	+ "python"
		44	+ ],
		45	+ "use_cases": [
		46	+ "transform-data",
		47	+ "query-parquet-files",
		48	+ "stream-events"
		49	+ ],
		50	+ "operating_systems": [
		51	+ "linux",
		52	+ "macos",
		53	+ "windows"
		54	+ ],
		55	+ "deployment_models": [
		56	+ "on-premises",
		57	+ "managed-cloud"
		58	+ ],
		59	+ "integrations": [
		60	+ "Databricks",
		61	+ "Delta Lake",
		62	+ "Apache Iceberg",
		63	+ "Apache Kafka",
		64	+ "Kubernetes",
		65	+ "Apache Airflow",
		66	+ "Jupyter"
		67	+ ],
		68	+ "data_formats": [
		69	+ "Parquet",
		70	+ "ORC",
		71	+ "JSON",
		72	+ "CSV",
		73	+ "Avro",
		74	+ "Delta Lake",
		75	+ "Iceberg"
		76	+ ],
		77	+ "languages": [
		78	+ "Scala",
		79	+ "Java",
		80	+ "Python",
		81	+ "R",
		82	+ "SQL"
		83	+ ],
		84	+ "self_hostable": true,
		85	+ "discovery_method": "editorial-research",
		86	+ "depth": "standard",
		87	+ "editorial_status": "reviewed",
		88	+ "visibility": "public",
		89	+ "featured": false,
		90	+ "author": "batch-D",
		91	+ "slug": "apache-spark",
		92	+ "name": "Apache Spark",
		93	+ "vendor": {
		94	+ "name": "Apache Software Foundation",
		95	+ "slug": "apache-software-foundation",
		96	+ "website": "https://www.apache.org/"
		97	+ },
		98	+ "homepage_url": "https://spark.apache.org/",
		99	+ "docs_url": "https://spark.apache.org/docs/latest/",
		100	+ "repo_url": "https://github.com/apache/spark",
		101	+ "license_url": "https://github.com/apache/spark/blob/master/LICENSE",
		102	+ "product_type": "framework",
		103	+ "product_status": "active",
		104	+ "summary": "Distributed data processing engine with DataFrame and SQL APIs in Python, Scala, Java and R, plus structured streaming and MLlib",
		105	+ "description": "Apache Spark is a distributed computing engine maintained by the Apache Software Foundation under Apache 2.0. Programs express transformations on DataFrames or SQL tables; the Catalyst optimizer and Tungsten execution layer plan them into stages executed by executors across a cluster managed by Kubernetes, YARN or Spark's standalone manager. Spark SQL reads Parquet, ORC, JSON, CSV, JDBC sources and lakehouse tables (Delta Lake, Iceberg, Hudi); Structured Streaming processes Kafka and file streams with the same API; MLlib and GraphFrames cover machine learning and graph computation. Spark 4 added Spark Connect, a thin client protocol that lets Python, Scala, Go or Rust applications drive a remote cluster, together with ANSI SQL mode by default and a Python data source API.\n\nSpark is the standard engine for large-scale ETL and the foundation of Databricks, Amazon EMR, Google Dataproc and Microsoft Fabric. For data that fits on one machine it is slower to start and heavier to configure than DuckDB or Polars, the JVM and shuffle tuning take expertise, and PySpark user-defined functions pay serialization costs unless written with Arrow-based pandas UDFs.",
		106	+ "capabilities": [
		107	+ "DataFrame and SQL APIs with the Catalyst optimizer",
		108	+ "Structured Streaming over Kafka and files",
		109	+ "MLlib machine-learning library",
		110	+ "Connectors for Parquet, ORC, JSON, JDBC, Delta Lake, Iceberg and Hudi",
		111	+ "Spark Connect remote client protocol",
		112	+ "Runs on Kubernetes, YARN or standalone clusters"
		113	+ ],
		114	+ "categories": [
		115	+ {
		116	+ "slug": "analytics-engines",
		117	+ "primary": true
		118	+ },
		119	+ {
		120	+ "slug": "distributed-computing"
		121	+ },
		122	+ {
		123	+ "slug": "etl-elt"
		124	+ }
		125	+ ],
		126	+ "execution_modes": [
		127	+ "self-hosted",
		128	+ "cloud",
		129	+ "local"
		130	+ ],
		131	+ "interfaces": [
		132	+ "library",
		133	+ "cli",
		134	+ "api"
		135	+ ],
		136	+ "source_model": "open-source",
		137	+ "license_spdx": "Apache-2.0",
		138	+ "pricing_model": [
		139	+ "open-source",
		140	+ "free"
		141	+ ],
		142	+ "sources": [
		143	+ {
		144	+ "url": "https://spark.apache.org/",
		145	+ "type": "official_site",
		146	+ "supports": [
		147	+ "name",
		148	+ "summary"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "Apache Spark"
		152	+ },
		153	+ {
		154	+ "url": "https://spark.apache.org/docs/latest/",
		155	+ "type": "official_docs",
		156	+ "supports": [
		157	+ "capabilities",
		158	+ "languages",
		159	+ "data_formats"
		160	+ ],
		161	+ "checked_at": "2026-11-02",
		162	+ "title": "Spark documentation"
		163	+ },
		164	+ {
		165	+ "url": "https://github.com/apache/spark/blob/master/LICENSE",
		166	+ "type": "license_page",
		167	+ "supports": [
		168	+ "license_spdx",
		169	+ "source_model"
		170	+ ],
		171	+ "checked_at": "2026-11-02",
		172	+ "title": "Spark LICENSE (Apache 2.0)"
		173	+ },
		174	+ {
		175	+ "url": "https://github.com/apache/spark",
		176	+ "type": "repository",
		177	+ "supports": [
		178	+ "repo_url"
		179	+ ],
		180	+ "checked_at": "2026-11-02",
		181	+ "title": "apache/spark"
		182	+ }
		183	+ ],
		184	+ "confidence": "high"
		185	+}

added content/tools/apache-superset.json +163 −0

				@@ -0,0 +1,163 @@
		1	+{
		2	+ "aliases": [
		3	+ "Superset"
		4	+ ],
		5	+ "workflows": [
		6	+ "Analytics dashboards over ClickHouse or a warehouse",
		7	+ "Shared SQL exploration for analysts",
		8	+ "Embedded dashboards in internal tools"
		9	+ ],
		10	+ "advantages": [
		11	+ "Entirely Apache 2.0 with no paid edition",
		12	+ "Wide database support through SQLAlchemy",
		13	+ "Rich visualization catalog"
		14	+ ],
		15	+ "limitations": [
		16	+ "Several components to deploy (web, workers, cache, metadata DB)",
		17	+ "Configuration and upgrades require Python ops skills",
		18	+ "Query performance depends on the source database"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Python or Docker environment, metadata database and cache"
		22	+ ],
		23	+ "audiences": [
		24	+ "Data teams wanting open-source BI",
		25	+ "Platform teams embedding dashboards"
		26	+ ],
		27	+ "alternatives": [
		28	+ "metabase",
		29	+ "tableau",
		30	+ "power-bi",
		31	+ "grafana"
		32	+ ],
		33	+ "tags": [
		34	+ "bi",
		35	+ "dashboards",
		36	+ "sql",
		37	+ "self-hosted",
		38	+ "open-source",
		39	+ "python"
		40	+ ],
		41	+ "use_cases": [
		42	+ "build-dashboards"
		43	+ ],
		44	+ "operating_systems": [
		45	+ "linux",
		46	+ "macos",
		47	+ "web"
		48	+ ],
		49	+ "deployment_models": [
		50	+ "on-premises",
		51	+ "managed-cloud"
		52	+ ],
		53	+ "integrations": [
		54	+ "PostgreSQL",
		55	+ "ClickHouse",
		56	+ "DuckDB",
		57	+ "Trino",
		58	+ "BigQuery",
		59	+ "Snowflake",
		60	+ "Preset"
		61	+ ],
		62	+ "data_formats": [
		63	+ "SQL",
		64	+ "CSV export"
		65	+ ],
		66	+ "languages": [
		67	+ "Python",
		68	+ "TypeScript",
		69	+ "SQL"
		70	+ ],
		71	+ "self_hostable": true,
		72	+ "discovery_method": "editorial-research",
		73	+ "depth": "standard",
		74	+ "editorial_status": "reviewed",
		75	+ "visibility": "public",
		76	+ "featured": false,
		77	+ "author": "batch-D",
		78	+ "slug": "apache-superset",
		79	+ "name": "Apache Superset",
		80	+ "vendor": {
		81	+ "name": "Apache Software Foundation",
		82	+ "slug": "apache-software-foundation",
		83	+ "website": "https://www.apache.org/"
		84	+ },
		85	+ "homepage_url": "https://superset.apache.org/",
		86	+ "docs_url": "https://superset.apache.org/docs/intro",
		87	+ "repo_url": "https://github.com/apache/superset",
		88	+ "license_url": "https://github.com/apache/superset/blob/master/LICENSE.txt",
		89	+ "product_type": "application",
		90	+ "product_status": "active",
		91	+ "summary": "Apache-licensed BI web application with SQL Lab, a no-code chart builder, dashboards and connectors to any SQLAlchemy-compatible database",
		92	+ "description": "Apache Superset is an open-source business-intelligence web application maintained by the Apache Software Foundation under Apache 2.0; it originated at Airbnb. Superset connects to any database with a SQLAlchemy dialect (PostgreSQL, MySQL, ClickHouse, DuckDB, Trino, BigQuery, Snowflake and many more), offers SQL Lab for exploratory queries, a chart builder with dozens of visualization types, dashboards with native filters and cross-filtering, row-level security, alerts and reports, and a semantic layer of datasets with metrics and calculated columns. The back end is Python (Flask) with a React front end, and deployment is typically via Docker Compose, Helm or a Python installation with Celery workers and a cache for asynchronous queries.\n\nSuperset is the fully open-source alternative to commercial BI for teams willing to operate a multi-component web application; Preset provides a hosted version from the project's original author. Compared with Metabase it offers more chart types and finer-grained security but a steeper setup, and it relies on the connected database for query performance.",
		93	+ "capabilities": [
		94	+ "SQL Lab query editor with history and saved queries",
		95	+ "Chart builder with dozens of visualization types",
		96	+ "Dashboards with native filters and cross-filtering",
		97	+ "Datasets, metrics and calculated columns as a semantic layer",
		98	+ "Row-level security and role-based access",
		99	+ "Alerts and scheduled reports"
		100	+ ],
		101	+ "categories": [
		102	+ {
		103	+ "slug": "bi-dashboards",
		104	+ "primary": true
		105	+ }
		106	+ ],
		107	+ "execution_modes": [
		108	+ "self-hosted",
		109	+ "cloud"
		110	+ ],
		111	+ "interfaces": [
		112	+ "web",
		113	+ "api"
		114	+ ],
		115	+ "source_model": "open-source",
		116	+ "license_spdx": "Apache-2.0",
		117	+ "pricing_model": [
		118	+ "open-source",
		119	+ "free"
		120	+ ],
		121	+ "sources": [
		122	+ {
		123	+ "url": "https://superset.apache.org/",
		124	+ "type": "official_site",
		125	+ "supports": [
		126	+ "name",
		127	+ "summary"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "Apache Superset"
		131	+ },
		132	+ {
		133	+ "url": "https://superset.apache.org/docs/intro",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "capabilities",
		137	+ "integrations"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "Superset documentation"
		141	+ },
		142	+ {
		143	+ "url": "https://github.com/apache/superset/blob/master/LICENSE.txt",
		144	+ "type": "license_page",
		145	+ "supports": [
		146	+ "license_spdx",
		147	+ "source_model"
		148	+ ],
		149	+ "checked_at": "2026-11-02",
		150	+ "title": "Superset LICENSE.txt (Apache 2.0)"
		151	+ },
		152	+ {
		153	+ "url": "https://github.com/apache/superset",
		154	+ "type": "repository",
		155	+ "supports": [
		156	+ "repo_url"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "apache/superset"
		160	+ }
		161	+ ],
		162	+ "confidence": "high"
		163	+}

added content/tools/apify.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "apify",
		3	+ "name": "Apify",
		4	+ "aliases": ["Apify platform", "Apify Store"],
		5	+ "vendor": { "name": "Apify Technologies s.r.o.", "slug": "apify", "website": "https://apify.com/" },
		6	+ "homepage_url": "https://apify.com/",
		7	+ "docs_url": "https://docs.apify.com/",
		8	+ "repo_url": "https://github.com/apify/apify-sdk-js",
		9	+ "pricing_url": "https://apify.com/pricing",
		10	+ "privacy_url": "https://docs.apify.com/legal/privacy-policy",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Cloud platform and marketplace for running web-scraping and automation programs (Actors), with storages, proxies, scheduling, an API and an MCP server for agents",
		14	+ "description": "Apify is a cloud platform for web scraping, data extraction and browser automation, built around a unit of deployment it calls the Actor: a containerized program with a declared input schema that runs on Apify's infrastructure, writes results to a dataset and can be invoked from the console, the REST API, a schedule or a webhook. Apify Store is the marketplace where the company and independent developers publish thousands of ready-made Actors for social networks, e-commerce sites, search engines, maps and generic crawling; developers can also build their own Actors from templates with the open-source Apify SDKs for JavaScript and Python.\n\nSupporting services include datasets, key-value stores and request queues, datacenter and residential proxy pools plus an unblocking layer, run monitoring, and integrations with workflow tools such as n8n and Zapier and with agent frameworks. An official MCP server lets LLM agents discover and run Actors directly, which has made Apify a common data source for agent workflows. The open-source Crawlee library underpins most Actors.\n\nPricing is layered: a free plan, monthly subscriptions that include platform usage, and Actor-level charges that are either per event (per result) or per compute consumed; enterprise plans are negotiated. Apify targets developers and data teams who want hosted execution and a catalog of maintained scrapers rather than running crawlers themselves.\n\nCaveats: results depend on third-party Actors whose quality and maintenance vary, scraping is subject to the target sites' terms and anti-bot measures, costs can be hard to predict for long-running crawls, and the platform is proprietary even though the SDKs and Crawlee are open source.",
		15	+ "capabilities": ["Hosted execution of Actors with input schemas, runs and builds", "Marketplace of ready-made scrapers and automations", "Dataset, key-value store and request queue storages with export", "Datacenter and residential proxies with unblocking", "Schedules, webhooks and run monitoring", "REST API and clients for JavaScript and Python", "MCP server and agent integrations", "Apify SDKs for building Actors"],
		16	+ "workflows": ["Run a Store Actor to collect listings and export to JSON or CSV", "Deploy a custom Crawlee crawler as an Actor on a schedule", "Give an LLM agent web data through the Apify MCP server", "Pipe results into a warehouse or n8n workflow via webhooks"],
		17	+ "advantages": ["No infrastructure to run for crawls", "Large catalog of maintained Actors", "Open-source SDKs and Crawlee at the core", "Agent-ready through MCP and API clients"],
		18	+ "limitations": ["Third-party Actor quality and maintenance vary", "Costs scale with usage and can be hard to forecast", "Proprietary hosted platform", "Scraping remains subject to site terms and blocking"],
		19	+ "prerequisites": ["Apify account and API token", "Node.js or Python for custom Actors"],
		20	+ "audiences": ["Developers and data teams collecting web data", "Agent builders needing live web data", "Researchers gathering listings or social data"],
		21	+ "alternatives": ["crawlee", "scrapy", "firecrawl", "bright-data", "zyte", "scrapfly"],
		22	+ "comparison_notes": "Crawlee and Scrapy are libraries you run yourself; Apify adds hosting, storage, proxies and a marketplace on top of Crawlee. Firecrawl focuses on turning pages into LLM-ready Markdown via a small API rather than a catalog of site-specific scrapers. Bright Data and Zyte sell proxy networks and unblocking APIs with their own scraper products, positioned more toward enterprise data collection; Scrapfly is a scraping API with anti-bot handling. Apify's distinctive element is the Actor model with a public store and per-result pricing.",
		23	+ "categories": [{ "slug": "data-collection-crawling", "primary": true }, { "slug": "agent-frameworks" }],
		24	+ "tags": ["crawler", "browser-automation", "api", "typescript", "python", "mcp", "saas", "proxies"],
		25	+ "use_cases": ["crawl-websites", "build-agents", "collect-web-data"],
		26	+ "operating_systems": ["web"],
		27	+ "execution_modes": ["cloud"],
		28	+ "interfaces": ["web", "api", "sdk", "cli", "mcp-server"],
		29	+ "deployment_models": ["saas"],
		30	+ "integrations": ["Crawlee", "Playwright", "Puppeteer", "n8n", "Zapier", "LangChain", "LlamaIndex", "Model Context Protocol", "Google Sheets", "Webhooks"],
		31	+ "data_formats": ["JSON", "CSV", "Excel", "XML", "RSS", "HTML"],
		32	+ "languages": ["JavaScript", "TypeScript", "Python"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "Apache-2.0",
		35	+ "pricing_model": ["freemium", "usage-based", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": false,
		38	+ "sources": [
		39	+ { "url": "https://apify.com/", "type": "official_site", "title": "Apify", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.apify.com/", "type": "official_docs", "title": "Apify documentation", "supports": ["capabilities", "integrations", "languages", "description"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://apify.com/pricing", "type": "pricing_page", "title": "Apify pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://github.com/apify/apify-sdk-js", "type": "repository", "title": "apify/apify-sdk-js", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "license_spdx refers to the open-source SDK, not the hosted platform" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": true,
		50	+ "author": "batch-C"
		51	+}

added content/tools/apple-foundation-models.json +43 −0

				@@ -0,0 +1,43 @@
		1	+{
		2	+ "slug": "apple-foundation-models",
		3	+ "name": "Foundation Models (Apple)",
		4	+ "aliases": ["Apple Foundation Models framework", "FoundationModels"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/documentation/foundationmodels",
		7	+ "docs_url": "https://developer.apple.com/documentation/foundationmodels",
		8	+ "product_type": "framework",
		9	+ "product_status": "active",
		10	+ "summary": "Apple's Swift framework giving apps access to the on-device Apple Intelligence language model with guided generation, tool calling and sessions, on OS 26 and later",
		11	+ "description": "Foundation Models is the Swift framework Apple introduced with iOS 26, iPadOS 26, macOS 26 and visionOS 26 (watchOS 27) that lets apps call the large language models behind Apple Intelligence. The default is the on-device model, which runs with no network connection and no per-request cost; the framework also offers a dynamic profile API for selecting other model configurations, including Apple's Private Cloud Compute models or a server-side provider, when a task needs more reasoning or context.\n\nIts headline feature is guided generation: by marking a Swift type with the `@Generable` macro (and `@Guide` annotations on fields) the developer gets strongly typed output rather than free text to parse. Developers define tools conforming to a `Tool` protocol that the model can call to look up data or trigger app actions, hold multi-turn conversations in a `LanguageModelSession`, stream partial results, and check availability before use because the model is present only on devices that support Apple Intelligence with the feature enabled.\n\nThe on-device model is small compared with frontier cloud models and is intended for summarization, extraction, classification, short creative text and in-app dialogue rather than open-ended knowledge or long reasoning. It is proprietary, Swift-only and limited to current Apple OS releases on capable hardware.",
		12	+ "capabilities": ["On-device LLM inference with no server dependency", "Guided generation into Swift types via @Generable", "Tool calling through a Tool protocol", "Multi-turn sessions with instructions and streaming", "Dynamic profile selection across on-device and cloud models", "Availability checks for Apple Intelligence support"],
		13	+ "workflows": ["Summarize or tag user content inside an app offline", "Extract structured fields from text into a Swift struct", "Let the model call an app action through a tool"],
		14	+ "advantages": ["No API keys, quotas or network for the default model", "Typed output removes JSON parsing", "Privacy by design: data stays on the device"],
		15	+ "limitations": ["Requires OS 26 or later on Apple Intelligence-capable hardware", "On-device model is small with limited context and knowledge", "Swift and Apple platforms only"],
		16	+ "prerequisites": ["Xcode 26 or later", "Device or simulator with Apple Intelligence enabled"],
		17	+ "audiences": ["iOS and macOS developers adding language features", "Teams needing offline, private text processing"],
		18	+ "alternatives": ["core-ml", "mlx-lm", "ollama", "claude-developer-platform", "openai-platform"],
		19	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "local-inference" }],
		20	+ "tags": ["apple-silicon", "llm", "on-device-ml", "swift", "ios", "macos", "apple-intelligence"],
		21	+ "use_cases": ["run-local-models", "build-native-apps", "build-agents"],
		22	+ "operating_systems": ["macos", "ios"],
		23	+ "execution_modes": ["local", "cloud"],
		24	+ "interfaces": ["sdk"],
		25	+ "deployment_models": ["embedded"],
		26	+ "integrations": ["Xcode", "SwiftUI", "App Intents", "Private Cloud Compute"],
		27	+ "data_formats": ["Swift Generable types"],
		28	+ "languages": ["Swift"],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["free"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://developer.apple.com/documentation/foundationmodels", "type": "official_site", "title": "Foundation Models | Apple Developer Documentation", "supports": ["name", "summary", "capabilities", "operating_systems", "limitations"], "checked_at": "2026-11-02" },
		34	+ { "url": "https://developer.apple.com/apple-intelligence/", "type": "official_docs", "title": "Apple Intelligence – Apple Developer", "supports": ["prerequisites", "description"], "checked_at": "2026-11-02" }
		35	+ ],
		36	+ "confidence": "high",
		37	+ "discovery_method": "editorial-research",
		38	+ "depth": "standard",
		39	+ "editorial_status": "reviewed",
		40	+ "visibility": "public",
		41	+ "featured": false,
		42	+ "author": "batch-C"
		43	+}

added content/tools/apple-notes.json +146 −0

				@@ -0,0 +1,146 @@
		1	+{
		2	+ "slug": "apple-notes",
		3	+ "name": "Apple Notes",
		4	+ "aliases": [
		5	+ "Notes (Apple)",
		6	+ "iCloud Notes"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Apple Inc.",
		10	+ "slug": "apple",
		11	+ "website": "https://www.apple.com"
		12	+ },
		13	+ "homepage_url": "https://support.apple.com/guide/notes/welcome/mac",
		14	+ "docs_url": "https://support.apple.com/guide/notes/welcome/mac",
		15	+ "privacy_url": "https://www.apple.com/privacy/",
		16	+ "product_type": "application",
		17	+ "product_status": "active",
		18	+ "summary": "Apple's built-in notes app for Mac, iPhone, iPad and iCloud.com with folders, tags, attachments, handwriting, shared notes and on-device search",
		19	+ "description": "Apple Notes is the note-taking application bundled with macOS, iOS, iPadOS and visionOS and available in the browser at iCloud.com. It offers rich-text notes with checklists, tables, attachments, scanned documents, handwriting and sketches on iPad, tags and smart folders, locked notes, collaborative shared notes and folders, Quick Note capture, and system-wide integration such as linking to other notes, mentions and Siri. Notes sync through iCloud and can also be stored in IMAP accounts. For Apple users it is a free, low-friction capture tool with reliable search and OCR of images. It has no plugin system or public API beyond AppleScript and Shortcuts, exports are limited (PDF or copy-paste; no Markdown), it is unavailable on Windows and Android except through the iCloud website, and it lacks backlinks and the structural features of dedicated knowledge-management tools.",
		20	+ "capabilities": [
		21	+ "Rich text, checklists, tables and attachments",
		22	+ "Handwriting and sketching on iPad with Apple Pencil",
		23	+ "Tags, smart folders and locked notes",
		24	+ "Shared notes and folders with collaborators",
		25	+ "Document scanning and image text search",
		26	+ "iCloud sync and web access"
		27	+ ],
		28	+ "workflows": [
		29	+ "Capture quick ideas across devices and refine them later",
		30	+ "Scan receipts and documents into searchable notes"
		31	+ ],
		32	+ "advantages": [
		33	+ "Free and preinstalled on Apple devices",
		34	+ "Tight system integration and reliable sync"
		35	+ ],
		36	+ "limitations": [
		37	+ "No Markdown export or public API",
		38	+ "Apple-platform centric; web access only elsewhere",
		39	+ "No backlinks, plugins or databases"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Apple device or iCloud account"
		43	+ ],
		44	+ "audiences": [
		45	+ "Apple users wanting a simple notes app",
		46	+ "Teams sharing quick checklists"
		47	+ ],
		48	+ "alternatives": [
		49	+ "bear",
		50	+ "obsidian",
		51	+ "notion",
		52	+ "craft"
		53	+ ],
		54	+ "comparison_notes": "Bear and Craft are paid Apple-native editors with Markdown and richer organisation; Obsidian stores open Markdown files with links and plugins; Notion adds databases and collaboration in the cloud.",
		55	+ "categories": [
		56	+ {
		57	+ "slug": "knowledge-management",
		58	+ "primary": true
		59	+ },
		60	+ {
		61	+ "slug": "productivity-suites"
		62	+ }
		63	+ ],
		64	+ "tags": [
		65	+ "notes",
		66	+ "macos",
		67	+ "ios",
		68	+ "icloud",
		69	+ "apple"
		70	+ ],
		71	+ "use_cases": [
		72	+ "manage-notes"
		73	+ ],
		74	+ "operating_systems": [
		75	+ "macos",
		76	+ "ios",
		77	+ "web"
		78	+ ],
		79	+ "execution_modes": [
		80	+ "local",
		81	+ "cloud"
		82	+ ],
		83	+ "interfaces": [
		84	+ "desktop",
		85	+ "mobile",
		86	+ "web"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "desktop"
		90	+ ],
		91	+ "integrations": [
		92	+ "iCloud",
		93	+ "Shortcuts",
		94	+ "AppleScript",
		95	+ "Siri"
		96	+ ],
		97	+ "data_formats": [
		98	+ "Rich text",
		99	+ "PDF export"
		100	+ ],
		101	+ "languages": [],
		102	+ "source_model": "proprietary",
		103	+ "pricing_model": [
		104	+ "free"
		105	+ ],
		106	+ "self_hostable": false,
		107	+ "sources": [
		108	+ {
		109	+ "url": "https://support.apple.com/guide/notes/welcome/mac",
		110	+ "type": "official_site",
		111	+ "supports": [
		112	+ "name",
		113	+ "summary",
		114	+ "capabilities"
		115	+ ],
		116	+ "checked_at": "2026-11-02",
		117	+ "title": "Notes User Guide for Mac"
		118	+ },
		119	+ {
		120	+ "url": "https://apps.apple.com/us/app/notes/id1110145109",
		121	+ "type": "official_docs",
		122	+ "supports": [
		123	+ "operating_systems",
		124	+ "pricing_model"
		125	+ ],
		126	+ "checked_at": "2026-11-02",
		127	+ "title": "Notes on the App Store"
		128	+ },
		129	+ {
		130	+ "url": "https://support.apple.com/guide/icloud/welcome/icloud",
		131	+ "type": "official_docs",
		132	+ "supports": [
		133	+ "capabilities"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "iCloud User Guide"
		137	+ }
		138	+ ],
		139	+ "confidence": "high",
		140	+ "depth": "standard",
		141	+ "featured": false,
		142	+ "discovery_method": "editorial-research",
		143	+ "editorial_status": "reviewed",
		144	+ "visibility": "public",
		145	+ "author": "batch-F"
		146	+}

added content/tools/applescript.json +44 −0

				@@ -0,0 +1,44 @@
		1	+{
		2	+ "slug": "applescript",
		3	+ "name": "AppleScript",
		4	+ "aliases": ["osascript", "Script Editor"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/library/archive/documentation/AppleScript/Conceptual/AppleScriptLangGuide/introduction/ASLR_intro.html",
		7	+ "docs_url": "https://developer.apple.com/library/archive/documentation/AppleScript/Conceptual/AppleScriptX/AppleScriptX.html",
		8	+ "product_type": "language",
		9	+ "product_status": "maintenance",
		10	+ "summary": "Apple's English-like scripting language that drives scriptable macOS applications through Apple events, run from Script Editor, osascript or other automation tools",
		11	+ "description": "AppleScript is Apple's scripting language for controlling scriptable Macintosh applications and parts of macOS. Introduced in 1993 and still included in every macOS release, it sends Apple events, the inter-application messages of the Mac, to applications such as Finder, Mail, Safari, Numbers or any third-party app that publishes a scripting dictionary. The language has a small core and an English-like syntax; most vocabulary comes from the terminology each application defines.\n\nScripts are written and tested in the bundled Script Editor, run from the command line with `osascript` (which also executes JavaScript for Automation), embedded in Automator and Shortcuts steps, or triggered by tools like Keyboard Maestro and Hammerspoon. GUI scripting through System Events can click menus and buttons in apps that lack a dictionary, subject to Accessibility permission.\n\nApple's AppleScript Language Guide lives in the Documentation Archive and was last revised in 2016, and the language has seen few changes since; it is best treated as stable, maintained infrastructure. Its verbose syntax, inconsistent application dictionaries and macOS-only scope are the usual complaints.",
		12	+ "capabilities": ["Control of scriptable applications via Apple events", "GUI scripting through System Events and Accessibility", "Command-line execution with osascript", "Embedding in Automator, Shortcuts and third-party automation tools", "Script bundles and applets with persistent properties"],
		13	+ "workflows": ["Export data from Numbers or Mail on a schedule", "Automate a legacy app that has no API but has a scripting dictionary", "Call AppleScript from a shell or Python script via osascript"],
		14	+ "advantages": ["Available on every Mac without installation", "Deep hooks into Apple's own apps", "Works from any tool that can shell out"],
		15	+ "limitations": ["macOS only", "Verbose, idiosyncratic syntax and uneven app dictionaries", "Official documentation is archived and dated"],
		16	+ "prerequisites": ["macOS", "Automation and Accessibility permissions for target apps"],
		17	+ "audiences": ["Mac power users and administrators", "Developers gluing macOS apps into pipelines"],
		18	+ "alternatives": ["shortcuts", "hammerspoon", "automator", "python"],
		19	+ "categories": [{ "slug": "macos-automation", "primary": true }, { "slug": "programming-languages" }],
		20	+ "tags": ["macos", "automation", "scripting", "apple"],
		21	+ "use_cases": ["automate-desktop-tasks"],
		22	+ "operating_systems": ["macos"],
		23	+ "execution_modes": ["local"],
		24	+ "interfaces": ["cli", "desktop"],
		25	+ "deployment_models": ["desktop"],
		26	+ "integrations": ["Script Editor", "Automator", "Shortcuts", "Keyboard Maestro", "Hammerspoon", "System Events"],
		27	+ "data_formats": [".scpt / .applescript files", "Script bundles and applets"],
		28	+ "languages": ["AppleScript"],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["free"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://developer.apple.com/library/archive/documentation/AppleScript/Conceptual/AppleScriptLangGuide/introduction/ASLR_intro.html", "type": "official_site", "title": "AppleScript Language Guide – Introduction", "supports": ["name", "summary", "description"], "checked_at": "2026-11-02", "note": "Documentation Archive; updated 2016" },
		34	+ { "url": "https://developer.apple.com/library/archive/documentation/AppleScript/Conceptual/AppleScriptX/AppleScriptX.html", "type": "official_docs", "title": "AppleScript Overview", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://support.apple.com/guide/script-editor/welcome/mac", "type": "official_docs", "title": "Script Editor User Guide", "supports": ["capabilities", "integrations"], "checked_at": "2026-11-02" }
		36	+ ],
		37	+ "confidence": "high",
		38	+ "discovery_method": "editorial-research",
		39	+ "depth": "standard",
		40	+ "editorial_status": "reviewed",
		41	+ "visibility": "public",
		42	+ "featured": false,
		43	+ "author": "batch-C"
		44	+}

added content/tools/arch.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "arch",
		3	+ "name": "arch (Python package)",
		4	+ "aliases": ["arch", "bashtage/arch"],
		5	+ "vendor": { "name": "Kevin Sheppard", "slug": "kevin-sheppard", "website": "https://bashtage.github.io/arch/" },
		6	+ "homepage_url": "https://bashtage.github.io/arch/",
		7	+ "docs_url": "https://bashtage.github.io/arch/",
		8	+ "repo_url": "https://github.com/bashtage/arch",
		9	+ "license_url": "https://github.com/bashtage/arch/blob/main/LICENSE.md",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Kevin Sheppard's Python package for univariate ARCH/GARCH volatility models, bootstraps, multiple-comparison procedures, unit-root and cointegration tests",
		13	+ "description": "arch is a Python library by Kevin Sheppard for financial econometrics, released under the University of Illinois/NCSA license. Its core is univariate volatility modelling: mean models (constant, AR, HAR, exogenous regressors) combined with ARCH, GARCH, GJR-GARCH, EGARCH, HARCH and related variance processes and normal, Student-t, skewed-t or GED innovations, estimated by maximum likelihood with analytic forecasts, simulation and bootstrap forecasting. Alongside it ships a bootstrap module (IID, stationary, circular block and others) with confidence-interval helpers, multiple-comparison procedures such as the reality check, SPA and model confidence set, unit-root tests (ADF, KPSS, Phillips-Perron, DF-GLS, Zivot-Andrews), cointegration tests and estimators (Engle-Granger, Phillips-Ouliaris) and long-run covariance estimation.\n\nVersion 8.0.0 is current at the time of writing. The package integrates with pandas and statsmodels conventions and is widely used for realized-volatility and risk research on daily or intraday returns. It covers univariate models only; multivariate GARCH, stochastic volatility and high-frequency realized-measure estimators are not included.",
		14	+ "capabilities": ["ARCH, GARCH, GJR-GARCH, EGARCH and HARCH volatility models", "Mean models with AR, HAR and exogenous terms", "Analytic, simulation and bootstrap forecasts", "Bootstrap methods: IID, stationary, circular block", "Reality check, SPA and model confidence set", "Unit-root tests: ADF, KPSS, PP, DF-GLS, Zivot-Andrews", "Cointegration tests and long-run covariance estimation"],
		15	+ "workflows": ["GARCH volatility forecasts for risk measures", "Model confidence set over competing forecasting models", "Stationarity testing before time-series modelling"],
		16	+ "advantages": ["Comprehensive univariate volatility toolkit", "Permissive NCSA licence", "Consistent with pandas and statsmodels"],
		17	+ "limitations": ["Univariate models only", "No realized-measure or stochastic-volatility estimators", "Single author-maintained project"],
		18	+ "prerequisites": ["Python with NumPy, SciPy, pandas and statsmodels"],
		19	+ "audiences": ["Empirical finance researchers", "Risk analysts working in Python"],
		20	+ "alternatives": ["statsmodels", "linearmodels", "eviews", "r"],
		21	+ "comparison_notes": "statsmodels lacks GARCH-family models, which arch supplies; EViews and R's rugarch offer comparable volatility modelling in other environments; linearmodels, by the same author, covers panel and IV estimation.",
		22	+ "categories": [{ "slug": "hf-finance-research", "primary": true }, { "slug": "econometrics-causal-inference" }],
		23	+ "tags": ["python", "time-series", "econometrics", "volatility", "open-source"],
		24	+ "use_cases": ["analyze-intraday-data", "estimate-causal-effects"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["pandas", "NumPy", "statsmodels", "SciPy"],
		30	+ "data_formats": ["pandas Series/DataFrame", "NumPy arrays"],
		31	+ "languages": ["Python", "Cython"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "NCSA",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://bashtage.github.io/arch/", "type": "official_site", "title": "arch 8.0.0 — Introduction", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/bashtage/arch", "type": "repository", "title": "bashtage/arch", "supports": ["repo_url", "capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/bashtage/arch/blob/main/LICENSE.md", "type": "license_page", "title": "arch LICENSE.md", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/archivebox.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "archivebox",
		3	+ "name": "ArchiveBox",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "ArchiveBox (Nick Sweeting and contributors)", "slug": "archivebox", "website": "https://archivebox.io/" },
		6	+ "homepage_url": "https://archivebox.io/",
		7	+ "docs_url": "https://github.com/ArchiveBox/ArchiveBox/wiki",
		8	+ "repo_url": "https://github.com/ArchiveBox/ArchiveBox",
		9	+ "license_url": "https://github.com/ArchiveBox/ArchiveBox/blob/dev/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Self-hosted, open-source web archiving tool that saves URLs as HTML, PDF, screenshot, WARC, readable text and media snapshots with a web UI and CLI",
		13	+ "description": "ArchiveBox is an open-source (MIT) self-hosted web archiver. Given URLs, whether typed one at a time, imported from browser bookmarks and history, RSS feeds, Pocket or Pinboard exports, or pushed by a browser extension, it runs a set of extractors against each page and stores the results as plain files in a per-snapshot folder: the original HTML and a SingleFile bundle, a PDF and PNG screenshot and DOM dump from headless Chrome, a wget mirror with WARC, article text via Readability and Mercury, media downloaded with yt-dlp, git clones of repository links, plus favicon, headers and a link to the archive.org capture.\n\nIt installs with Docker Compose (recommended), pip or uv, and provides a Django-based web interface with admin and public views, a CLI for adding, listing and scheduling, a REST API and direct access to the SQLite index. It appeals to researchers and individuals who want a durable personal or institutional archive they fully control, independent of the Internet Archive.\n\nCaveats: current releases are pre-release builds of a major rewrite, extractors depend on external binaries such as Chrome, wget and yt-dlp, archiving authenticated content carries security trade-offs, and it is a single-node tool rather than a large-scale crawler.",
		14	+ "capabilities": ["Multi-format snapshots: HTML, SingleFile, PDF, screenshot, DOM, WARC", "Readable text extraction and media download", "Imports from bookmarks, history, RSS, Pocket and Pinboard", "Web UI, CLI, REST API and SQLite index", "Scheduled re-archiving", "Docker, pip and uv installation"],
		15	+ "workflows": ["Archive every bookmark automatically from a browser extension", "Preserve sources cited in a paper with full-page captures", "Run a shared departmental archive on a Mac mini or server"],
		16	+ "advantages": ["Files on disk in open formats; no lock-in", "MIT license and active development", "Many capture methods per URL"],
		17	+ "limitations": ["Current versions are pre-release", "Depends on external binaries", "Single-node; not a web-scale crawler", "Security caveats for logged-in archiving"],
		18	+ "prerequisites": ["Docker or Python 3.10 or newer", "Chrome, wget and yt-dlp for full extractor coverage"],
		19	+ "audiences": ["Researchers preserving sources", "Self-hosters building personal archives", "Small institutions"],
		20	+ "alternatives": ["browsertrix", "wayback-machine"],
		21	+ "categories": [{ "slug": "web-archiving", "primary": true }],
		22	+ "tags": ["web-archive", "self-hosted", "open-source", "python", "docker", "warc"],
		23	+ "use_cases": ["archive-web-pages", "back-up-data"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["self-hosted", "local"],
		26	+ "interfaces": ["web", "cli", "api", "browser-extension"],
		27	+ "deployment_models": ["on-premises", "desktop"],
		28	+ "integrations": ["Chrome (headless)", "wget", "yt-dlp", "SingleFile", "Readability", "Pocket", "Pinboard", "archive.org"],
		29	+ "data_formats": ["HTML", "PDF", "PNG", "WARC", "JSON", "SQLite"],
		30	+ "languages": ["Python", "JavaScript"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://archivebox.io/", "type": "official_site", "title": "ArchiveBox", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/ArchiveBox/ArchiveBox", "type": "repository", "title": "ArchiveBox/ArchiveBox README", "supports": ["capabilities", "prerequisites", "limitations", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/ArchiveBox/ArchiveBox/blob/dev/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/arxiv.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "arxiv",
		3	+ "name": "arXiv",
		4	+ "aliases": ["arXiv.org"],
		5	+ "vendor": { "name": "arXiv (independent non-profit, formerly hosted by Cornell University)", "slug": "arxiv", "website": "https://arxiv.org" },
		6	+ "homepage_url": "https://arxiv.org/",
		7	+ "docs_url": "https://info.arxiv.org/help/index.html",
		8	+ "license_url": "https://info.arxiv.org/help/license/index.html",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Free, moderated open-access preprint server for physics, mathematics, computer science, statistics, quantitative finance, economics and related fields, with an open API and bulk access",
		12	+ "description": "arXiv is the open-access preprint repository founded by Paul Ginsparg in 1991, long hosted at Cornell University and now operated as an independent non-profit funded by Simons Foundation International, member institutions and donors. It accepts submissions in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Submissions are free, pass a moderation check for scope and scholarly form rather than peer review, require endorsement for new authors in a category, and are announced on a daily schedule with persistent identifiers and versioning. Authors choose from a set of distribution licences, including Creative Commons options and arXiv's non-exclusive licence.\n\nProgrammatic access includes a legacy query API returning Atom feeds, OAI-PMH metadata harvesting, RSS and bulk full-text downloads from requester-pays S3 buckets; metadata are released under CC0, while redistribution of the e-prints themselves depends on each paper's licence. The API terms of use ask clients to make no more than one request every three seconds on a single connection and not to circumvent limits with multiple machines. For economists, arXiv's econ and q-fin categories coexist with SSRN and RePEc rather than replacing them, and the absence of download metrics and the moderation delays are the usual complaints.",
		13	+ "capabilities": ["Free submission with moderation and endorsement", "Versioned preprints with persistent identifiers", "Daily listings and e-mail/RSS alerts", "Query API with Atom responses", "OAI-PMH harvesting and CC0 metadata", "Bulk full-text access via requester-pays S3", "Author-selected distribution licences"],
		14	+ "workflows": ["Posting a working paper to econ.EM or q-fin for priority", "Harvesting metadata for a bibliometric study via OAI-PMH", "Building a literature feed from the query API"],
		15	+ "advantages": ["Free, non-profit and open-access", "Open metadata under CC0 and documented APIs", "Long-term preservation and stable identifiers"],
		16	+ "limitations": ["Rate limit of roughly one request every three seconds", "E-print redistribution depends on each licence", "No download or citation metrics", "Moderation can delay announcement"],
		17	+ "prerequisites": ["Account and endorsement for first submission in a category"],
		18	+ "audiences": ["Researchers in the quantitative sciences and economics", "Developers of literature tools", "Scientometricians"],
		19	+ "alternatives": ["ssrn", "repec", "osf", "zenodo", "semantic-scholar"],
		20	+ "comparison_notes": "SSRN is the commercial preprint venue dominant in economics, finance and law with download metrics but no API; RePEc indexes economics working papers from institutional archives; OSF and Zenodo are general repositories with DOIs. arXiv combines non-profit governance with open data access.",
		21	+ "categories": [{ "slug": "research-dissemination", "primary": true }, { "slug": "academic-discovery" }],
		22	+ "tags": ["preprints", "open-access", "api", "open-data"],
		23	+ "use_cases": ["write-papers", "search-the-web-programmatically"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["OAI-PMH harvesters", "Semantic Scholar", "OpenAlex", "Zotero connector", "Amazon S3 bulk data"],
		29	+ "data_formats": ["PDF", "TeX source", "Atom", "OAI-PMH XML", "JSON (Kaggle metadata)"],
		30	+ "languages": [],
		31	+ "source_model": "open-source",
		32	+ "pricing_model": ["free"],
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://arxiv.org/", "type": "official_site", "title": "arXiv.org e-Print archive", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://info.arxiv.org/about/index.html", "type": "official_docs", "title": "About arXiv", "supports": ["description", "vendor", "pricing_model"], "checked_at": "2026-11-02", "note": "Independent non-profit as of 2026; free submission; moderation not peer review" },
		37	+ { "url": "https://info.arxiv.org/help/api/tou.html", "type": "policy_page", "title": "arXiv API Terms of Use", "supports": ["limitations", "capabilities"], "checked_at": "2026-11-02", "note": "Rate limit guidance, CC0 metadata, e-print redistribution requires permission" },
		38	+ { "url": "https://info.arxiv.org/help/api/index.html", "type": "official_docs", "title": "arXiv API Access", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://info.arxiv.org/help/license/index.html", "type": "license_page", "title": "arXiv License Information", "supports": ["capabilities", "limitations"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "source_model 'open-source' refers to the arXiv NG software being developed openly; no SPDX identifier is recorded for the service.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/authentik.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "authentik",
		3	+ "name": "authentik",
		4	+ "aliases": ["goauthentik"],
		5	+ "vendor": { "name": "Authentik Security Inc.", "slug": "authentik-security", "website": "https://goauthentik.io" },
		6	+ "homepage_url": "https://goauthentik.io/",
		7	+ "docs_url": "https://docs.goauthentik.io/",
		8	+ "repo_url": "https://github.com/goauthentik/authentik",
		9	+ "pricing_url": "https://goauthentik.io/pricing/",
		10	+ "license_url": "https://github.com/goauthentik/authentik/blob/main/LICENSE",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Self-hosted identity provider with OIDC, SAML, LDAP, RADIUS and SCIM support and a built-in application proxy, with an MIT core and an enterprise edition",
		14	+ "description": "authentik is an identity provider from Authentik Security Inc. designed for self-hosting. It offers single sign-on through OAuth 2.0 and OpenID Connect, SAML 2.0 and token exchange, exposes directories through LDAP and RADIUS outposts, provisions users with SCIM, and includes an application proxy that adds authentication in front of services that have none. Flows and stages let administrators compose login, enrollment and recovery journeys in the web interface without code, and integrations with Traefik, Caddy and NGINX forward-auth are documented.\n\nThe server is written in Python (Django) with Go outposts, deployed with Docker Compose, Kubernetes or Terraform, and backed by PostgreSQL. The repository is MIT licensed except for the enterprise directory, which carries a separate license; the enterprise edition adds support and features for larger organizations.\n\nauthentik is lighter to run than Keycloak and popular in homelabs and small companies, but it is a younger project with a smaller ecosystem of third-party adapters, and some capabilities sit behind the enterprise license.",
		15	+ "capabilities": ["OAuth 2.0, OpenID Connect and SAML 2.0 identity provider", "LDAP and RADIUS outposts and SCIM provisioning", "Application proxy and forward-auth for legacy services", "Visual flows and stages for login, enrollment, MFA and recovery", "Social and enterprise identity source federation", "Docker Compose, Kubernetes and Terraform deployment"],
		16	+ "workflows": ["Put SSO in front of self-hosted dashboards through forward-auth on Traefik or Caddy", "Provide LDAP to applications that lack OIDC", "Federate Google or Microsoft logins into one tenant"],
		17	+ "advantages": ["MIT-licensed core and easy Compose deployment", "Built-in proxy covers apps without native auth", "Flexible visual flow editor"],
		18	+ "limitations": ["Some features require the enterprise license", "Smaller ecosystem than Keycloak", "Requires PostgreSQL and (optionally) Redis to run"],
		19	+ "prerequisites": ["Docker Compose or Kubernetes host", "PostgreSQL database"],
		20	+ "audiences": ["Self-hosters and homelab operators", "Small and medium organizations owning their identity"],
		21	+ "alternatives": ["keycloak"],
		22	+ "comparison_notes": "Keycloak is the longer-established, Apache-2.0, CNCF-governed Java server with broader enterprise adoption; authentik trades some depth for a lighter footprint, a built-in proxy and a visual flow editor, with an enterprise tier for advanced needs.",
		23	+ "categories": [{ "slug": "identity-access", "primary": true }],
		24	+ "tags": ["identity", "sso", "oidc", "saml", "ldap", "self-hosted", "open-source", "python"],
		25	+ "use_cases": ["manage-identity", "secure-applications"],
		26	+ "operating_systems": ["linux"],
		27	+ "execution_modes": ["self-hosted"],
		28	+ "interfaces": ["web", "api"],
		29	+ "deployment_models": ["on-premises"],
		30	+ "integrations": ["Traefik", "Caddy", "NGINX", "PostgreSQL", "Kubernetes", "Docker", "Terraform", "Google", "Microsoft Entra ID"],
		31	+ "data_formats": ["JSON", "JWT", "SAML XML", "YAML blueprints"],
		32	+ "languages": ["Python", "Go", "TypeScript"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://goauthentik.io/", "type": "official_site", "title": "authentik", "supports": ["name", "summary", "vendor", "capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.goauthentik.io/", "type": "official_docs", "title": "authentik Documentation", "supports": ["capabilities", "integrations", "prerequisites"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/goauthentik/authentik/blob/main/LICENSE", "type": "license_page", "title": "authentik LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "MIT except authentik/enterprise (separate license) and website content (CC BY-SA 4.0)." },
		42	+ { "url": "https://goauthentik.io/pricing/", "type": "pricing_page", "title": "authentik Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/autogen.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "autogen",
		3	+ "name": "AutoGen",
		4	+ "aliases": ["Microsoft AutoGen", "pyautogen", "autogen-agentchat"],
		5	+ "vendor": { "name": "Microsoft", "slug": "microsoft", "website": "https://microsoft.github.io/autogen/" },
		6	+ "homepage_url": "https://microsoft.github.io/autogen/stable/",
		7	+ "docs_url": "https://microsoft.github.io/autogen/stable/",
		8	+ "repo_url": "https://github.com/microsoft/autogen",
		9	+ "license_url": "https://github.com/microsoft/autogen/blob/main/LICENSE-CODE",
		10	+ "product_type": "framework",
		11	+ "product_status": "deprecated",
		12	+ "summary": "Microsoft's multi-agent framework (Core, AgentChat, Extensions, Studio) for Python and .NET, now archived with users directed to Microsoft Agent Framework",
		13	+ "description": "AutoGen is Microsoft Research's framework for building multi-agent AI applications. Its 0.4 redesign split it into layers: Core, an event-driven runtime for scalable and distributed agents across languages; AgentChat, a higher-level Python API for conversational single- and multi-agent apps; Extensions, which connect to services such as MCP servers, OpenAI Assistants and Docker code executors; and AutoGen Studio, a web UI for prototyping without code. A .NET implementation accompanied the Python packages, and code is MIT-licensed with documentation under CC-BY-4.0.\n\nThe repository README now carries an archived notice: Microsoft no longer maintains the project, provides no bug or security fixes, and advises against production use. New users are directed to Microsoft Agent Framework, described as the enterprise-ready successor with a migration guide from AutoGen, and a community fork (AG2) continues separately. AutoGen remains relevant as reference material for its research lineage and for existing deployments, but new work should start elsewhere.",
		14	+ "capabilities": ["Event-driven Core runtime for distributed multi-agent systems", "AgentChat API for conversational agents and teams", "Extensions for MCP, OpenAI Assistants, Docker code execution and gRPC runtimes", "AutoGen Studio no-code prototyping UI", "Python and .NET implementations"],
		15	+ "workflows": ["Study the original multi-agent conversation patterns from the research papers", "Maintain an existing AgentChat deployment while planning migration"],
		16	+ "advantages": ["Well-documented research lineage", "MIT-licensed code remains available"],
		17	+ "limitations": ["Archived; no maintenance or security fixes from Microsoft", "Successor framework requires migration", "Not recommended for production"],
		18	+ "prerequisites": ["Python 3.10+ or .NET"],
		19	+ "audiences": ["Researchers studying multi-agent patterns", "Teams with legacy AutoGen deployments"],
		20	+ "alternatives": ["langgraph", "crewai", "openai-agents-sdk", "pydantic-ai"],
		21	+ "categories": [{ "slug": "agent-frameworks", "primary": true }],
		22	+ "tags": ["agents", "multi-agent", "python", "open-source", "archived"],
		23	+ "use_cases": ["build-agents"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local", "self-hosted"],
		26	+ "interfaces": ["library", "web"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["Model Context Protocol", "OpenAI", "Azure OpenAI", "Docker"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": ["Python", "C#"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://microsoft.github.io/autogen/stable/", "type": "official_site", "title": "AutoGen documentation", "supports": ["name", "capabilities", "languages"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/microsoft/autogen", "type": "repository", "supports": ["product_status", "license_spdx"], "checked_at": "2026-11-02", "note": "README states the project is archived and no longer maintained; points to Microsoft Agent Framework" },
		38	+ { "url": "https://github.com/microsoft/autogen/blob/main/LICENSE-CODE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "Code MIT; LICENSE file is CC-BY-4.0 for documentation" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "uncertainty_note": "Microsoft Agent Framework, the designated successor, is not part of this encyclopedia's slug list, so it is not linked as an alternative.",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-A"
		48	+}

added content/tools/automator.json +44 −0

				@@ -0,0 +1,44 @@
		1	+{
		2	+ "slug": "automator",
		3	+ "name": "Automator",
		4	+ "aliases": ["Apple Automator"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://www.apple.com/" },
		6	+ "homepage_url": "https://support.apple.com/guide/automator/welcome/mac",
		7	+ "docs_url": "https://support.apple.com/guide/automator/welcome/mac",
		8	+ "product_type": "application",
		9	+ "product_status": "maintenance",
		10	+ "summary": "Apple's long-standing drag-and-drop workflow builder for macOS that produces apps, Quick Actions, folder actions and calendar-triggered automations",
		11	+ "description": "Automator is the workflow-building application that has shipped with macOS since Tiger (2005). Users assemble actions from a library, such as Finder file operations, image manipulation, text handling, shell scripts and AppleScript or JavaScript steps, into a linear workflow and save it as a standalone application, a Quick Action available in Finder and Services menus, a Folder Action that fires when files are added to a folder, a Calendar alarm, a print plug-in or a dictation command.\n\nIt remains useful for document-centric automation on the Mac: batch renaming, PDF splitting, image conversion and glue scripts that run when something lands in a watched folder. Workflows can be imported into the Shortcuts app, which Apple now positions as the primary automation tool across its platforms. Automator still ships with current macOS releases but has received few new features in recent years, so it is best regarded as stable, maintained software rather than an actively evolving product. It is macOS-only and has no equivalent on iOS.",
		12	+ "capabilities": ["Drag-and-drop workflows from a library of system actions", "Output as application, Quick Action, Folder Action, Calendar alarm or print plug-in", "Shell script, AppleScript and JavaScript for Automation steps", "Variables and looping within workflows", "Import into Shortcuts"],
		13	+ "workflows": ["Convert and rename images dropped into a folder", "Add a Finder Quick Action that runs a shell script on selected files", "Schedule a workflow through a Calendar event"],
		14	+ "advantages": ["Preinstalled on every Mac", "Folder Actions and Quick Actions without code", "Easy migration path to Shortcuts"],
		15	+ "limitations": ["Little new development; Shortcuts is Apple's focus", "macOS only", "Linear workflows with limited branching and error handling"],
		16	+ "prerequisites": ["macOS"],
		17	+ "audiences": ["Mac users automating file and document chores", "Long-time macOS power users"],
		18	+ "alternatives": ["shortcuts", "keyboard-maestro", "applescript", "hammerspoon"],
		19	+ "categories": [{ "slug": "macos-automation", "primary": true }],
		20	+ "tags": ["macos", "automation", "no-code", "apple"],
		21	+ "use_cases": ["automate-desktop-tasks"],
		22	+ "operating_systems": ["macos"],
		23	+ "execution_modes": ["local"],
		24	+ "interfaces": ["desktop"],
		25	+ "deployment_models": ["desktop"],
		26	+ "integrations": ["Finder Quick Actions", "Calendar", "Shortcuts", "AppleScript", "Shell"],
		27	+ "data_formats": [".workflow bundles"],
		28	+ "languages": [],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["free"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://support.apple.com/guide/automator/welcome/mac", "type": "official_site", "title": "Automator User Guide for Mac", "supports": ["name", "summary", "capabilities", "workflows"], "checked_at": "2026-11-02" },
		34	+ { "url": "https://support.apple.com/guide/shortcuts-mac/welcome/mac", "type": "official_docs", "title": "Shortcuts User Guide for Mac", "supports": ["limitations", "integrations"], "checked_at": "2026-11-02" }
		35	+ ],
		36	+ "confidence": "medium",
		37	+ "uncertainty_note": "Apple has not formally deprecated Automator; the maintenance status reflects the absence of significant new features since Shortcuts arrived on macOS.",
		38	+ "discovery_method": "editorial-research",
		39	+ "depth": "standard",
		40	+ "editorial_status": "reviewed",
		41	+ "visibility": "public",
		42	+ "featured": false,
		43	+ "author": "batch-C"
		44	+}

added content/tools/aws.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "aws",
		3	+ "name": "Amazon Web Services",
		4	+ "aliases": ["AWS"],
		5	+ "vendor": { "name": "Amazon Web Services, Inc.", "slug": "amazon-web-services", "website": "https://aws.amazon.com" },
		6	+ "homepage_url": "https://aws.amazon.com/",
		7	+ "docs_url": "https://docs.aws.amazon.com/",
		8	+ "pricing_url": "https://aws.amazon.com/pricing/",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Amazon's public cloud with hundreds of usage-billed services spanning compute (EC2, Lambda), storage (S3), databases (RDS), networking, AI (Bedrock) and analytics",
		12	+ "description": "Amazon Web Services is the public cloud platform of Amazon. Its catalogue runs from foundational building blocks, EC2 virtual machines, S3 object storage, VPC networking, IAM identity, to managed databases (RDS for PostgreSQL and MySQL, DynamoDB, Aurora), serverless compute (Lambda), container orchestration (ECS, EKS), the Bedrock service for hosted foundation models, and data and analytics tools such as Athena, Redshift and Glue, deployed across many geographic regions.\n\nEverything is driven by the same APIs through the console, the AWS CLI, SDKs for the main languages, CloudFormation and the Terraform provider. Billing is usage-based with a free tier and reserved or savings-plan discounts for committed use. S3's API has become a de facto standard implemented by MinIO, Cloudflare R2 and others, so many tools in this encyclopedia use S3-compatible storage even when not on AWS.\n\nThe platform's breadth is its difficulty: cost management, IAM policy design and service selection require expertise, and egress and cross-service charges can surprise small projects.",
		13	+ "capabilities": ["Virtual machines, serverless functions and container services", "Object, block and file storage led by S3", "Managed relational, key-value and graph databases", "Hosted foundation models through Bedrock and ML tooling through SageMaker", "Networking, DNS (Route 53), CDN (CloudFront) and identity (IAM)", "Infrastructure as code with CloudFormation, CDK and Terraform"],
		14	+ "workflows": ["Store datasets in S3 and query them with Athena or DuckDB", "Run a managed PostgreSQL database for an application", "Deploy containers to ECS or EKS behind a load balancer"],
		15	+ "advantages": ["Largest service catalogue and global footprint", "Mature tooling, SDKs and documentation", "S3 API is an industry standard"],
		16	+ "limitations": ["Cost complexity and egress charges", "Steep learning curve across services and IAM", "Vendor lock-in for higher-level managed services"],
		17	+ "prerequisites": ["AWS account with billing"],
		18	+ "audiences": ["Enterprises and startups", "Data and ML teams", "Developers needing managed services"],
		19	+ "alternatives": ["google-cloud", "azure", "hetzner", "ovhcloud"],
		20	+ "comparison_notes": "Google Cloud and Azure are the other hyperscalers with comparable breadth, differing in strengths (data analytics and Kubernetes for Google, Microsoft ecosystem integration for Azure). Hetzner and OVHcloud provide servers and a few storage products at lower cost without the managed catalogue.",
		21	+ "categories": [{ "slug": "cloud-hosting", "primary": true }],
		22	+ "tags": ["cloud", "s3", "serverless", "api", "usage-based", "managed-databases"],
		23	+ "use_cases": ["host-web-apps", "provision-infrastructure", "serve-models", "store-data"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "cli", "sdk"],
		27	+ "deployment_models": ["managed-cloud"],
		28	+ "integrations": ["Terraform", "Kubernetes", "Docker", "GitHub Actions", "PostgreSQL"],
		29	+ "data_formats": ["JSON", "Parquet (Athena, Glue)", "CloudFormation YAML"],
		30	+ "languages": ["Python", "JavaScript", "TypeScript", "Java", "Go", "Rust", "C#"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["usage-based", "freemium", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://aws.amazon.com/", "type": "official_site", "title": "Amazon Web Services", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.aws.amazon.com/", "type": "official_docs", "title": "AWS Documentation", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://aws.amazon.com/pricing/", "type": "pricing_page", "title": "AWS Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/axolotl.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "axolotl",
		3	+ "name": "Axolotl",
		4	+ "aliases": ["axolotl-ai-cloud/axolotl", "OpenAccess-AI-Collective/axolotl"],
		5	+ "vendor": { "name": "Axolotl AI", "slug": "axolotl-ai", "website": "https://axolotl.ai" },
		6	+ "homepage_url": "https://axolotl.ai/",
		7	+ "docs_url": "https://docs.axolotl.ai/",
		8	+ "repo_url": "https://github.com/axolotl-ai-cloud/axolotl",
		9	+ "license_url": "https://github.com/axolotl-ai-cloud/axolotl/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "YAML-configured open-source framework for fine-tuning and post-training LLMs: full, LoRA and QLoRA training, preference and RL methods, multimodal models and multi-GPU or multi-node runs",
		13	+ "description": "Axolotl is an Apache-2.0 fine-tuning framework in which a single YAML file describes the whole run: base model, dataset format, preprocessing, training method, evaluation, quantization and inference. It supports full fine-tuning, LoRA and QLoRA; preference tuning with DPO, IPO, KTO and ORPO; reinforcement learning with GRPO and GDPO; reward and process-reward modeling; quantization-aware training and FP8 mixed precision; and multimodal training for vision-language and audio models across many Hugging Face architectures (Llama, Mistral, Qwen, Gemma and others). Dataset formats cover pretraining, instruction, conversation, stepwise supervised, template-free and pre-tokenized data from local files, the Hub or S3, Azure, GCP and OCI storage.\n\nHardware support centers on NVIDIA GPUs (Ampere or newer for bf16 and FlashAttention) and AMD GPUs, with multi-GPU training through FSDP2 and DeepSpeed and multi-node through torchrun and Ray; Mac M-series use is documented but secondary. Docker images and PyPI packages are published, and documented cloud targets include RunPod, Modal, Vast.ai, SkyPilot, Hugging Face Jobs and CoreWeave. Telemetry is opt-out. Axolotl is a reproducibility-friendly choice for teams who prefer declarative configs over notebooks; it assumes familiarity with the training stack and is less memory-optimized than Unsloth on single consumer GPUs.",
		14	+ "capabilities": ["Declarative YAML configuration for the full training pipeline", "Full fine-tuning, LoRA and QLoRA", "DPO, IPO, KTO, ORPO preference tuning; GRPO and GDPO reinforcement learning", "Reward modeling, QAT and FP8 mixed precision", "Multimodal (vision-language and audio) training", "Multi-GPU via FSDP2 and DeepSpeed; multi-node via torchrun and Ray", "Docker images and documented cloud launch targets"],
		15	+ "workflows": ["Version a fine-tuning recipe as YAML alongside the dataset", "Run a multi-GPU DPO job on a rented cluster", "Train a vision-language model from a conversation dataset"],
		16	+ "advantages": ["Reproducible, reviewable configurations", "Broad coverage of post-training methods", "Apache-2.0 license and active community"],
		17	+ "limitations": ["Primarily NVIDIA- and AMD-oriented; Mac support secondary", "Requires understanding of the underlying training stack", "Less single-GPU memory optimization than Unsloth"],
		18	+ "prerequisites": ["Linux with a supported GPU and CUDA or ROCm", "Python environment or the Docker image"],
		19	+ "audiences": ["ML engineers running repeatable fine-tuning jobs", "Research groups training on shared clusters"],
		20	+ "alternatives": ["unsloth", "transformers", "pytorch", "together-ai"],
		21	+ "categories": [{ "slug": "model-training", "primary": true }],
		22	+ "tags": ["fine-tuning", "open-source", "python", "llm", "yaml", "gpu"],
		23	+ "use_cases": ["fine-tune-models"],
		24	+ "operating_systems": ["linux", "macos"],
		25	+ "execution_modes": ["self-hosted", "cloud"],
		26	+ "interfaces": ["cli", "library"],
		27	+ "deployment_models": ["on-premises", "managed-cloud"],
		28	+ "integrations": ["Hugging Face Transformers", "PyTorch", "DeepSpeed", "FSDP", "Ray", "RunPod", "Modal", "SkyPilot", "Hugging Face Jobs", "Docker"],
		29	+ "data_formats": ["YAML (config)", "JSONL", "Parquet", "Hugging Face datasets"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://axolotl.ai/", "type": "official_site", "title": "Axolotl", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.axolotl.ai/", "type": "official_docs", "title": "Axolotl documentation", "supports": ["capabilities", "operating_systems", "integrations", "license_spdx"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/axolotl-ai-cloud/axolotl/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/azure.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "azure",
		3	+ "name": "Microsoft Azure",
		4	+ "aliases": ["Azure"],
		5	+ "vendor": { "name": "Microsoft Corporation", "slug": "microsoft", "website": "https://www.microsoft.com" },
		6	+ "homepage_url": "https://azure.microsoft.com/en-us",
		7	+ "docs_url": "https://learn.microsoft.com/en-us/azure/",
		8	+ "pricing_url": "https://azure.microsoft.com/en-us/pricing/",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Microsoft's public cloud with virtual machines, AKS, Azure Functions, Cosmos DB, Azure Database for PostgreSQL, Entra ID identity and Microsoft Foundry for hosted AI models",
		12	+ "description": "Microsoft Azure is the public cloud platform of Microsoft Corporation. It provides virtual machines on Linux and Windows, Azure Kubernetes Service, Azure Functions and App Service for serverless and web hosting, Blob storage, Cosmos DB and managed PostgreSQL and SQL Server databases, and networking and security services, all governed by Microsoft Entra ID, the identity service that also underpins Microsoft 365. Microsoft Foundry (formerly Azure AI Foundry) exposes OpenAI and other foundation models with enterprise controls, and Microsoft Fabric bundles analytics.\n\nAzure is administered through the portal, the az CLI, PowerShell, SDKs, Bicep and ARM templates, or Terraform, with usage-based billing, a free account and reservation discounts. Documentation lives on Microsoft Learn.\n\nOrganizations already invested in Microsoft licensing, Active Directory and Windows Server workloads find Azure the natural fit; others encounter a large and sometimes inconsistent service catalogue, regional capacity constraints for GPU and some instance types, and the same cost-management challenges as other hyperscalers.",
		13	+ "capabilities": ["Linux and Windows virtual machines, AKS and serverless Functions", "Blob, file and disk storage", "Cosmos DB, Azure Database for PostgreSQL and SQL Database", "Microsoft Entra ID identity and access management", "Microsoft Foundry for hosted OpenAI and other models", "az CLI, PowerShell, Bicep/ARM and Terraform"],
		14	+ "workflows": ["Host a web application on App Service with Entra ID sign-in", "Call OpenAI models through Microsoft Foundry under enterprise terms", "Run Windows Server workloads alongside Linux containers in AKS"],
		15	+ "advantages": ["Deep integration with Microsoft 365, Entra ID and Windows workloads", "Hosted access to OpenAI models with enterprise controls", "Broad compliance and regional coverage"],
		16	+ "limitations": ["Large and uneven service catalogue", "Capacity constraints for some instance types and regions", "Cost and governance complexity"],
		17	+ "prerequisites": ["Azure subscription with billing"],
		18	+ "audiences": ["Enterprises using Microsoft software", "Developers building on OpenAI models with enterprise requirements"],
		19	+ "alternatives": ["aws", "google-cloud", "ovhcloud"],
		20	+ "comparison_notes": "AWS leads in catalogue breadth and Google Cloud in analytics and Kubernetes heritage; Azure's distinct advantage is the Microsoft identity and productivity ecosystem. OVHcloud serves those who want servers under European jurisdiction without hyperscaler complexity.",
		21	+ "categories": [{ "slug": "cloud-hosting", "primary": true }],
		22	+ "tags": ["cloud", "kubernetes", "serverless", "identity", "api", "usage-based", "llm"],
		23	+ "use_cases": ["host-web-apps", "provision-infrastructure", "serve-models", "store-data"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "cli", "sdk"],
		27	+ "deployment_models": ["managed-cloud", "hybrid"],
		28	+ "integrations": ["Terraform", "Kubernetes", "GitHub Actions", "Microsoft 365", "PostgreSQL"],
		29	+ "data_formats": ["JSON", "Bicep", "ARM templates"],
		30	+ "languages": ["C#", "Python", "JavaScript", "TypeScript", "Java", "Go"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["usage-based", "freemium", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://azure.microsoft.com/en-us", "type": "official_site", "title": "Microsoft Azure", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://learn.microsoft.com/en-us/azure/", "type": "official_docs", "title": "Azure documentation | Microsoft Learn", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://azure.microsoft.com/en-us/pricing/", "type": "pricing_page", "title": "Azure Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/bear.json +147 −0

				@@ -0,0 +1,147 @@
		1	+{
		2	+ "slug": "bear",
		3	+ "name": "Bear",
		4	+ "aliases": [
		5	+ "Bear Notes",
		6	+ "Bear 2"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Shiny Frog Ltd.",
		10	+ "slug": "shiny-frog",
		11	+ "website": "https://shinyfrog.net"
		12	+ },
		13	+ "homepage_url": "https://bear.app/",
		14	+ "docs_url": "https://bear.app/faq/",
		15	+ "pricing_url": "https://bear.app/faq/",
		16	+ "privacy_url": "https://bear.app/privacy/",
		17	+ "product_type": "application",
		18	+ "product_status": "active",
		19	+ "summary": "Markdown note-taking app for Mac, iPhone and iPad from Shiny Frog with nested tags, note links and iCloud sync, free with a Pro subscription",
		20	+ "description": "Bear is a Markdown-based note-taking application for macOS, iOS and iPadOS developed by Shiny Frog. It stores notes in a local database synchronised through iCloud, organises them with nested hashtags rather than folders, and supports wiki-style links between notes, backlinks, tables, code blocks, sketches, attachments and themes, with export to Markdown, PDF, HTML, DOCX and other formats. A focused editing interface and a callback URL scheme for automation make it popular with writers and developers on Apple platforms. The core app is free; a Bear Pro subscription unlocks sync across devices, themes and export options. Limits are platform scope (Apple only, no web or Windows client), the absence of a plugin system, iCloud as the only sync route, and a proprietary store that requires export to move notes elsewhere.",
		21	+ "capabilities": [
		22	+ "Markdown editing with live styling",
		23	+ "Nested tags and note links with backlinks",
		24	+ "Sketches, attachments and tables",
		25	+ "Export to Markdown, PDF, HTML and DOCX",
		26	+ "iCloud sync across Apple devices",
		27	+ "URL scheme for automation"
		28	+ ],
		29	+ "workflows": [
		30	+ "Draft articles in Markdown and export to HTML",
		31	+ "Organise research notes with hierarchical tags"
		32	+ ],
		33	+ "advantages": [
		34	+ "Fast, polished native apps",
		35	+ "Clean Markdown export"
		36	+ ],
		37	+ "limitations": [
		38	+ "Apple platforms only",
		39	+ "iCloud-only sync",
		40	+ "No plugins or API beyond URL scheme"
		41	+ ],
		42	+ "prerequisites": [
		43	+ "Mac, iPhone or iPad; Bear Pro for sync"
		44	+ ],
		45	+ "audiences": [
		46	+ "Writers and students on Apple devices",
		47	+ "Developers wanting Markdown notes without configuration"
		48	+ ],
		49	+ "alternatives": [
		50	+ "obsidian",
		51	+ "apple-notes",
		52	+ "craft",
		53	+ "notion"
		54	+ ],
		55	+ "comparison_notes": "Obsidian keeps notes as plain files with plugins and cross-platform apps; Bear trades that for a tightly designed Apple experience. Apple Notes is free and built in but lacks Markdown; Craft focuses on structured documents and sharing.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "knowledge-management",
		59	+ "primary": true
		60	+ }
		61	+ ],
		62	+ "tags": [
		63	+ "notes",
		64	+ "markdown",
		65	+ "macos",
		66	+ "ios",
		67	+ "apple"
		68	+ ],
		69	+ "use_cases": [
		70	+ "manage-notes"
		71	+ ],
		72	+ "operating_systems": [
		73	+ "macos",
		74	+ "ios"
		75	+ ],
		76	+ "execution_modes": [
		77	+ "local",
		78	+ "cloud"
		79	+ ],
		80	+ "interfaces": [
		81	+ "desktop",
		82	+ "mobile"
		83	+ ],
		84	+ "deployment_models": [
		85	+ "desktop"
		86	+ ],
		87	+ "integrations": [
		88	+ "iCloud",
		89	+ "Shortcuts",
		90	+ "x-callback-url"
		91	+ ],
		92	+ "data_formats": [
		93	+ "Markdown",
		94	+ "PDF",
		95	+ "HTML",
		96	+ "DOCX",
		97	+ "TextBundle"
		98	+ ],
		99	+ "languages": [],
		100	+ "source_model": "proprietary",
		101	+ "pricing_model": [
		102	+ "freemium",
		103	+ "paid"
		104	+ ],
		105	+ "pricing_checked_at": "2026-11-02",
		106	+ "self_hostable": false,
		107	+ "sources": [
		108	+ {
		109	+ "url": "https://bear.app/",
		110	+ "type": "official_site",
		111	+ "supports": [
		112	+ "name",
		113	+ "summary",
		114	+ "vendor"
		115	+ ],
		116	+ "checked_at": "2026-11-02",
		117	+ "title": "Bear"
		118	+ },
		119	+ {
		120	+ "url": "https://bear.app/faq/",
		121	+ "type": "official_docs",
		122	+ "supports": [
		123	+ "capabilities",
		124	+ "pricing_model",
		125	+ "data_formats"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "Bear FAQ"
		129	+ },
		130	+ {
		131	+ "url": "https://bear.app/privacy/",
		132	+ "type": "policy_page",
		133	+ "supports": [
		134	+ "vendor"
		135	+ ],
		136	+ "checked_at": "2026-11-02",
		137	+ "title": "Bear privacy"
		138	+ }
		139	+ ],
		140	+ "confidence": "high",
		141	+ "depth": "standard",
		142	+ "featured": false,
		143	+ "discovery_method": "editorial-research",
		144	+ "editorial_status": "reviewed",
		145	+ "visibility": "public",
		146	+ "author": "batch-F"
		147	+}

added content/tools/biblatex.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "biblatex",
		3	+ "name": "biblatex",
		4	+ "aliases": ["BibLaTeX", "biblatex + Biber"],
		5	+ "vendor": { "name": "Philip Kime and contributors", "slug": "biblatex", "website": "https://github.com/plk/biblatex" },
		6	+ "homepage_url": "https://ctan.org/pkg/biblatex",
		7	+ "docs_url": "https://ctan.org/pkg/biblatex",
		8	+ "repo_url": "https://github.com/plk/biblatex",
		9	+ "license_url": "https://github.com/plk/biblatex",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "LaTeX bibliography package that reimplements BibTeX formatting in LaTeX macros, with the Biber backend, Unicode sorting and multiple bibliographies",
		13	+ "description": "biblatex is a LaTeX package that replaces the classic BibTeX styling model: bibliography and citation formatting are defined entirely in LaTeX macros, so new styles can be written by anyone who knows LaTeX, and dozens of styles (authoryear, numeric, APA, Chicago and others) are distributed on CTAN. Bibliographic data is processed by the Biber backend, which adds full Unicode support, customizable sorting based on the Unicode Collation Algorithm, validation of data, remote data sources and a flexible data model; legacy BibTeX backends are supported with reduced functionality.\n\nThe package handles multiple bibliographies and reference lists with different sorting in one document, filtered and subdivided bibliographies, and automatic language switching through babel or polyglossia. It is maintained by Philip Kime (Philipp Lehman is the original author), released under the LaTeX Project Public License 1.3 or later, and ships with TeX Live and MiKTeX. Journals that still require BibTeX-compatible .bbl files cannot accept biblatex output directly, which remains the main practical obstacle for submissions.",
		14	+ "capabilities": ["Bibliography styling defined in LaTeX macros", "Biber backend with Unicode and UCA sorting", "Multiple and filtered bibliographies in one document", "Localization via babel/polyglossia", "Data validation and remote data sources", "Large library of contributed citation styles"],
		15	+ "workflows": ["Author-year citations in a thesis with per-chapter bibliographies", "Multilingual bibliographies with correct sorting"],
		16	+ "advantages": ["Styles are editable LaTeX rather than .bst stack language", "Full Unicode support through Biber"],
		17	+ "limitations": ["Some journals require classic BibTeX .bbl files", "Biber must be run as a separate step"],
		18	+ "prerequisites": ["A TeX distribution with Biber installed"],
		19	+ "audiences": ["LaTeX authors", "Style designers for publishers and institutions"],
		20	+ "alternatives": ["jabref", "zotero", "pandoc", "typst"],
		21	+ "comparison_notes": "JabRef and Zotero manage the .bib data that biblatex consumes; Pandoc's citeproc and Typst's built-in bibliography engine format citations outside LaTeX using CSL and Hayagriva styles respectively.",
		22	+ "categories": [{ "slug": "latex-typesetting", "primary": true }, { "slug": "citation-management" }],
		23	+ "tags": ["latex", "bibliography", "open-source", "typesetting"],
		24	+ "use_cases": ["typeset-documents", "write-papers", "manage-references"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library", "cli"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["TeX Live", "MiKTeX", "Biber", "JabRef", "Zotero Better BibTeX", "Overleaf"],
		30	+ "data_formats": ["BibLaTeX (.bib)", "BibTeX", "RIS (via Biber)"],
		31	+ "languages": ["TeX", "Perl (Biber)"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "LPPL-1.3c",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://ctan.org/pkg/biblatex", "type": "official_site", "title": "CTAN: Package BibLaTeX", "supports": ["name", "summary", "capabilities", "license_spdx"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/plk/biblatex", "type": "repository", "title": "plk/biblatex", "supports": ["repo_url", "license_spdx", "vendor"], "checked_at": "2026-11-02", "note": "README states LPPL 1.3 or later" },
		39	+ { "url": "https://github.com/plk/biber", "type": "repository", "title": "plk/biber", "supports": ["capabilities"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/biome.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "biome",
		3	+ "name": "Biome",
		4	+ "aliases": ["Rome Tools (predecessor)"],
		5	+ "vendor": { "name": "Biome project", "slug": "biome-project", "website": "https://biomejs.dev" },
		6	+ "homepage_url": "https://biomejs.dev/",
		7	+ "docs_url": "https://biomejs.dev/installation/quick-start/",
		8	+ "repo_url": "https://github.com/biomejs/biome",
		9	+ "license_url": "https://github.com/biomejs/biome/blob/main/LICENSE-MIT",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Rust-based formatter and linter for JavaScript, TypeScript, JSX, JSON, CSS and GraphQL that replaces Prettier and ESLint with one binary",
		13	+ "description": "Biome is a toolchain for web projects that bundles a code formatter and a linter in a single Rust binary. It began in 2023 as a community fork of Rome Tools after that company ceased operations, and it is distributed under MIT and Apache-2.0 licenses. The formatter aims for high compatibility with Prettier's output for JavaScript and TypeScript, and the linter implements a large set of rules inspired by ESLint and its popular plugins, with automatic fixes and explanatory diagnostics.\n\nBecause one process handles both concerns, configuration is a single `biome.json` file and runs are fast enough to execute on every save or across a monorepo in CI. Editor integration is available through official extensions and the LSP. Biome's constraints are coverage: it supports fewer languages and framework-specific rules than the ESLint ecosystem, type-aware linting is more limited, and projects relying on custom ESLint plugins cannot port them directly. Migration commands help translate existing Prettier and ESLint configurations.",
		14	+ "capabilities": ["Formatter compatible with most Prettier output", "Linter with automatic fixes and rich diagnostics", "Single configuration file for formatting and linting", "Support for JavaScript, TypeScript, JSX, JSON, CSS and GraphQL", "Migration commands from ESLint and Prettier", "LSP and editor extensions"],
		15	+ "workflows": ["Replace Prettier and ESLint with one tool in a new project", "Run formatting and lint checks in CI with a single command", "Format on save in VS Code or Zed"],
		16	+ "advantages": ["Fast single binary with no Node dependency at runtime", "Simplified configuration", "Dual MIT/Apache-2.0 license"],
		17	+ "limitations": ["Fewer rules and plugins than ESLint", "Limited type-aware linting", "No support for custom ESLint plugins"],
		18	+ "prerequisites": ["npm, pnpm, Bun or a standalone binary"],
		19	+ "audiences": ["Web developers seeking faster tooling", "Teams simplifying their lint and format setup"],
		20	+ "alternatives": ["eslint", "prettier"],
		21	+ "comparison_notes": "ESLint remains the most extensible JavaScript linter with the broadest plugin ecosystem; Biome trades extensibility for speed and simplicity. Prettier is the formatting reference Biome deliberately mirrors, so switching mostly changes tooling rather than code style.",
		22	+ "categories": [{ "slug": "testing-qa", "primary": true }],
		23	+ "tags": ["javascript", "typescript", "rust", "linting", "formatting", "open-source", "cli"],
		24	+ "use_cases": [],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["cli", "ide-extension"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["VS Code", "Zed", "GitHub Actions", "TypeScript"],
		30	+ "data_formats": ["JavaScript", "TypeScript", "JSON", "CSS", "GraphQL"],
		31	+ "languages": ["Rust"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT OR Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://biomejs.dev/", "type": "official_site", "title": "Biome, toolchain of the web", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://biomejs.dev/installation/quick-start/", "type": "official_docs", "title": "Biome quick start", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/biomejs/biome/blob/main/LICENSE-MIT", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "LICENSE-APACHE also present" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/bitwarden.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "bitwarden",
		3	+ "name": "Bitwarden",
		4	+ "aliases": ["Bitwarden Password Manager", "Bitwarden Secrets Manager"],
		5	+ "vendor": { "name": "Bitwarden Inc.", "slug": "bitwarden-inc", "website": "https://bitwarden.com" },
		6	+ "homepage_url": "https://bitwarden.com/",
		7	+ "docs_url": "https://bitwarden.com/help/",
		8	+ "repo_url": "https://github.com/bitwarden/server",
		9	+ "pricing_url": "https://bitwarden.com/pricing/",
		10	+ "license_url": "https://github.com/bitwarden/server/blob/main/LICENSE.txt",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source password manager with hosted and self-hosted server options, passkey support, organization sharing and a separate Secrets Manager for developers",
		14	+ "description": "Bitwarden is a password manager from Bitwarden Inc. whose clients (desktop, mobile, browser extensions, web vault and CLI) and server are published on GitHub. The server repository is licensed under AGPL-3.0 by default, with code in the bitwarden_license directory under the separate Bitwarden License, so the core is open source while some organization features are source-available. Vaults are end-to-end encrypted and synchronized through Bitwarden's cloud or a self-hosted server deployed with Docker.\n\nIndividuals get a free tier covering unlimited passwords and devices, with paid Premium, Families, Teams and Enterprise plans adding features such as advanced two-factor options, emergency access, SSO and policies. Passkeys can be stored and used for sign-in, and Bitwarden Send shares text or files with expiry. Bitwarden Secrets Manager is a distinct product for machine secrets with a CLI and SDKs aimed at developers and CI pipelines.\n\nThe self-hosted deployment requires running several containers and keeping them updated, and some enterprise functionality remains gated behind the commercial license even when self-hosted.",
		15	+ "capabilities": ["Encrypted vault for logins, passkeys, cards, identities and notes on all major platforms", "Hosted service or self-hosted Docker deployment", "Organizations with collections, roles, SSO and policies", "Bitwarden Send for ephemeral sharing", "CLI for vault automation and a separate Secrets Manager for machine secrets", "Passwordless login and passkey storage"],
		16	+ "workflows": ["Run a family or team vault on the free or paid cloud plan", "Self-host the server for data control", "Inject CI secrets with the Secrets Manager CLI"],
		17	+ "advantages": ["Open-source clients and server with a free tier", "Self-hosting option", "Regular third-party audits published by the vendor"],
		18	+ "limitations": ["Some organization features fall under the non-open Bitwarden License", "Self-hosting involves multiple containers and upkeep", "Developer tooling is less integrated than 1Password's SSH agent"],
		19	+ "prerequisites": ["Bitwarden account or a Docker host for self-hosting"],
		20	+ "audiences": ["Individuals and families", "Teams wanting open-source or self-hosted password management", "Developers using Secrets Manager"],
		21	+ "alternatives": ["1password", "infisical", "hashicorp-vault"],
		22	+ "comparison_notes": "1Password offers a more polished developer experience and SSH agent but is closed source, subscription-only and cannot be self-hosted. Infisical and Vault address infrastructure secrets rather than personal vaults, overlapping only with Bitwarden Secrets Manager.",
		23	+ "categories": [{ "slug": "secrets-management", "primary": true }, { "slug": "identity-access" }],
		24	+ "tags": ["secrets", "password-manager", "passkeys", "open-source", "self-hosted", "security", "cli"],
		25	+ "use_cases": ["store-secrets", "manage-credentials"],
		26	+ "operating_systems": ["macos", "windows", "linux", "ios", "android", "web"],
		27	+ "execution_modes": ["cloud", "self-hosted", "local"],
		28	+ "interfaces": ["desktop", "mobile", "browser-extension", "web", "cli", "sdk"],
		29	+ "deployment_models": ["saas", "on-premises"],
		30	+ "integrations": ["Docker", "Okta", "Microsoft Entra ID", "Duo", "YubiKey", "GitHub Actions"],
		31	+ "data_formats": ["JSON export (encrypted or plain)", "CSV"],
		32	+ "languages": ["C#", "TypeScript", "Rust"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "AGPL-3.0-only",
		35	+ "pricing_model": ["freemium", "paid", "enterprise", "open-source"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://bitwarden.com/", "type": "official_site", "title": "Bitwarden", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://bitwarden.com/help/", "type": "official_docs", "title": "Bitwarden Help Center", "supports": ["capabilities", "workflows", "operating_systems"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/bitwarden/server/blob/main/LICENSE.txt", "type": "license_page", "title": "Bitwarden server LICENSE.txt", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "AGPL-3.0 by default; bitwarden_license directory under the Bitwarden License v1.0." },
		42	+ { "url": "https://bitwarden.com/pricing/", "type": "pricing_page", "title": "Bitwarden Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "uncertainty_note": "license_spdx reflects the default AGPL-3.0 terms; files under bitwarden_license use the proprietary Bitwarden License.",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "standard",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": false,
		51	+ "author": "batch-B2"
		52	+}

added content/tools/bloomberg-terminal.json +45 −0

				@@ -0,0 +1,45 @@
		1	+{
		2	+ "slug": "bloomberg-terminal",
		3	+ "name": "Bloomberg Terminal",
		4	+ "aliases": ["Bloomberg Professional", "BLPAPI", "Bloomberg Desktop API"],
		5	+ "vendor": { "name": "Bloomberg L.P.", "slug": "bloomberg", "website": "https://www.bloomberg.com/professional/" },
		6	+ "homepage_url": "https://www.bloomberg.com/professional/products/bloomberg-terminal/",
		7	+ "docs_url": "https://www.bloomberg.com/professional/support/api-library/",
		8	+ "product_type": "platform",
		9	+ "product_status": "active",
		10	+ "summary": "Bloomberg's subscription workstation for market data, news, analytics, messaging and execution, with Excel integration and the BLPAPI library for C++, Java, .NET and Python",
		11	+ "description": "The Bloomberg Terminal is Bloomberg L.P.'s flagship subscription service for financial professionals, combining real-time and historical market data across asset classes with news, Bloomberg Intelligence research, charting and analytics, the Instant Bloomberg messaging network, customizable Launchpad workspaces, multi-asset execution and order management, and mobile access through the Bloomberg Professional app. Subscriptions are sold to individual named subscribers through sales rather than online, typically on multi-year contracts.\n\nFor programmatic use, the Desktop API exposes terminal data to applications on the subscriber's machine through BLPAPI, a library with C++, Java, C# (.NET) and Python bindings (the Python package installs from Bloomberg's index); the same library serves the Server API and B-PIPE feed products licensed separately for server-side and enterprise use. The Excel add-in with its BDP/BDH functions remains the most common way researchers extract series. Usage is governed by the subscription agreement, which restricts data to the licensed user and limits redistribution and storage, so Terminal data generally cannot be shared in replication packages.",
		12	+ "capabilities": ["Real-time and historical multi-asset market data", "News and Bloomberg Intelligence research", "Charting, analytics and Launchpad monitors", "Instant Bloomberg messaging", "Execution and order management", "Excel add-in (BDP/BDH functions)", "BLPAPI Desktop API for C++, Java, .NET and Python"],
		13	+ "workflows": ["Pulling bond and derivative pricing history into Excel for a study", "Monitoring markets and news on a trading desk"],
		14	+ "advantages": ["Breadth and depth of cross-asset coverage", "Industry-standard communication network", "Mature API bindings"],
		15	+ "limitations": ["Subscription sold through sales; no online pricing", "Data licensed to the individual user; redistribution restricted", "Desktop API requires a running terminal session", "Website blocks automated clients"],
		16	+ "prerequisites": ["Terminal subscription and login", "Windows or macOS workstation; Excel for the add-in"],
		17	+ "audiences": ["Traders, analysts and portfolio managers", "Finance faculty with institutional terminals"],
		18	+ "alternatives": ["wrds", "databento", "polygon-io", "interactive-brokers-api"],
		19	+ "comparison_notes": "WRDS serves historical research panels under institutional subscriptions; Databento and Massive are API-first data vendors without news or messaging; Interactive Brokers' API provides broker data tied to an account. The Terminal bundles data, analytics and communication in one seat licence.",
		20	+ "categories": [{ "slug": "market-data-apis", "primary": true }, { "slug": "financial-analysis-investing" }],
		21	+ "tags": ["market-data", "proprietary", "api", "news"],
		22	+ "use_cases": ["access-market-data"],
		23	+ "operating_systems": ["windows", "macos", "ios", "android"],
		24	+ "execution_modes": ["cloud", "local"],
		25	+ "interfaces": ["desktop", "mobile", "api", "sdk"],
		26	+ "deployment_models": ["saas", "desktop"],
		27	+ "integrations": ["Microsoft Excel", "Python (blpapi)", "Java", "C++", ".NET", "MATLAB Datafeed Toolbox", "R (Rblpapi, community)"],
		28	+ "data_formats": ["Proprietary API messages", "Excel"],
		29	+ "languages": ["Python", "C++", "Java", "C#"],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["paid", "enterprise"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://www.bloomberg.com/professional/products/bloomberg-terminal/", "type": "official_site", "title": "Bloomberg Terminal | Bloomberg Professional Services", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://www.bloomberg.com/professional/support/api-library/", "type": "official_docs", "title": "API Library | Bloomberg Professional Services", "supports": ["capabilities", "languages", "limitations"], "checked_at": "2026-11-02", "note": "BLPAPI bindings; Linux/macOS libraries are for Server API and B-PIPE, not Desktop API" }
		36	+ ],
		37	+ "confidence": "medium",
		38	+ "uncertainty_note": "bloomberg.com returns 403 to command-line and standard fetchers; pages were read through an extraction service. Pricing is not published, so pricing_url is omitted and licensing statements are summarized from general knowledge of the subscription agreement rather than a cited terms page.",
		39	+ "discovery_method": "editorial-research",
		40	+ "depth": "standard",
		41	+ "editorial_status": "reviewed",
		42	+ "visibility": "public",
		43	+ "featured": false,
		44	+ "author": "batch-E"
		45	+}

added content/tools/bluebeam-revu.json +162 −0

				@@ -0,0 +1,162 @@
		1	+{
		2	+ "slug": "bluebeam-revu",
		3	+ "name": "Bluebeam Revu",
		4	+ "aliases": [
		5	+ "Bluebeam",
		6	+ "Revu",
		7	+ "Bluebeam Studio",
		8	+ "Bluebeam Cloud"
		9	+ ],
		10	+ "vendor": {
		11	+ "name": "Bluebeam, Inc. (Nemetschek Group)",
		12	+ "slug": "bluebeam",
		13	+ "website": "https://www.bluebeam.com"
		14	+ },
		15	+ "homepage_url": "https://www.bluebeam.com/",
		16	+ "docs_url": "https://support.bluebeam.com/",
		17	+ "pricing_url": "https://www.bluebeam.com/pricing/",
		18	+ "privacy_url": "https://www.bluebeam.com/legal/privacy-policy/",
		19	+ "product_type": "application",
		20	+ "product_status": "active",
		21	+ "summary": "PDF markup, measurement and collaboration software for construction documents, with a Windows desktop app plus web and mobile companions",
		22	+ "description": "Bluebeam Revu is a PDF-centric application for the architecture, engineering and construction industry from Bluebeam, Inc., part of the Nemetschek Group. The Windows desktop program opens drawing sets, calibrates scale and measures lengths, areas, counts and volumes for quantity takeoff, applies standardised markups from a customisable tool chest, compares revisions, slip-sheets and stamps batches, and summarises markups into quantity tables that export to spreadsheets. Studio provides shared sessions where distributed teams mark up the same documents in real time, and Bluebeam Cloud extends viewing and markups to browsers and mobile devices. It is sold by subscription in Basics, Core, Complete and Max plans. Takeoff is measurement-oriented rather than a full estimating engine, the desktop application is Windows-only (Mac users rely on virtualisation or the web app), and pricing is per named user.",
		23	+ "capabilities": [
		24	+ "Scaled measurement of lengths, areas, counts and volumes on PDFs",
		25	+ "Markup tool chest with custom symbols and statuses",
		26	+ "Document comparison, overlay and batch slip-sheeting",
		27	+ "Studio sessions for real-time multi-user review",
		28	+ "Markup summaries exported to spreadsheets",
		29	+ "Web and mobile access through Bluebeam Cloud"
		30	+ ],
		31	+ "workflows": [
		32	+ "Perform a quantity takeoff on a drawing set and export quantities to an estimate",
		33	+ "Run a shared design review session with subcontractors"
		34	+ ],
		35	+ "advantages": [
		36	+ "Industry-standard markup conventions",
		37	+ "Strong batch and comparison tooling for drawing sets"
		38	+ ],
		39	+ "limitations": [
		40	+ "Desktop app runs on Windows only",
		41	+ "Measurement rather than pricing; needs a cost database for estimates",
		42	+ "Per-user subscription"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Windows PC for Revu; browser or mobile device for Cloud",
		46	+ "Bluebeam subscription"
		47	+ ],
		48	+ "audiences": [
		49	+ "Estimators and project engineers",
		50	+ "Architects and construction managers",
		51	+ "Appraisers reviewing plan sets"
		52	+ ],
		53	+ "alternatives": [
		54	+ "planswift",
		55	+ "rsmeans-data"
		56	+ ],
		57	+ "comparison_notes": "PlanSwift is a dedicated takeoff and estimating tool with assemblies and cost formulas, while Revu is a general construction PDF tool whose measurements feed other estimating software. RSMeans Data provides the unit costs neither tool includes by default.",
		58	+ "categories": [
		59	+ {
		60	+ "slug": "construction-estimating",
		61	+ "primary": true
		62	+ }
		63	+ ],
		64	+ "tags": [
		65	+ "construction",
		66	+ "pdf",
		67	+ "takeoff",
		68	+ "markup",
		69	+ "windows",
		70	+ "collaboration"
		71	+ ],
		72	+ "use_cases": [
		73	+ "estimate-construction-costs",
		74	+ "collaborate"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "windows",
		78	+ "web",
		79	+ "ios",
		80	+ "android"
		81	+ ],
		82	+ "execution_modes": [
		83	+ "local",
		84	+ "cloud"
		85	+ ],
		86	+ "interfaces": [
		87	+ "desktop",
		88	+ "web",
		89	+ "mobile"
		90	+ ],
		91	+ "deployment_models": [
		92	+ "desktop",
		93	+ "saas"
		94	+ ],
		95	+ "integrations": [
		96	+ "SharePoint",
		97	+ "Procore",
		98	+ "Autodesk",
		99	+ "Excel"
		100	+ ],
		101	+ "data_formats": [
		102	+ "PDF",
		103	+ "CSV/XML markup summaries"
		104	+ ],
		105	+ "languages": [],
		106	+ "source_model": "proprietary",
		107	+ "pricing_model": [
		108	+ "paid",
		109	+ "enterprise"
		110	+ ],
		111	+ "pricing_checked_at": "2026-11-02",
		112	+ "self_hostable": false,
		113	+ "sources": [
		114	+ {
		115	+ "url": "https://www.bluebeam.com/",
		116	+ "type": "official_site",
		117	+ "supports": [
		118	+ "name",
		119	+ "summary",
		120	+ "vendor"
		121	+ ],
		122	+ "checked_at": "2026-11-02",
		123	+ "title": "Bluebeam"
		124	+ },
		125	+ {
		126	+ "url": "https://www.bluebeam.com/product/",
		127	+ "type": "official_docs",
		128	+ "supports": [
		129	+ "capabilities",
		130	+ "operating_systems"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "Bluebeam product overview",
		134	+ "note": "Describes Revu for Windows, web and mobile access and plan names"
		135	+ },
		136	+ {
		137	+ "url": "https://www.bluebeam.com/pricing/",
		138	+ "type": "pricing_page",
		139	+ "supports": [
		140	+ "pricing_model"
		141	+ ],
		142	+ "checked_at": "2026-11-02",
		143	+ "title": "Bluebeam pricing"
		144	+ },
		145	+ {
		146	+ "url": "https://support.bluebeam.com/",
		147	+ "type": "official_docs",
		148	+ "supports": [
		149	+ "capabilities"
		150	+ ],
		151	+ "checked_at": "2026-11-02",
		152	+ "title": "Bluebeam Support"
		153	+ }
		154	+ ],
		155	+ "confidence": "high",
		156	+ "depth": "standard",
		157	+ "featured": false,
		158	+ "discovery_method": "editorial-research",
		159	+ "editorial_status": "reviewed",
		160	+ "visibility": "public",
		161	+ "author": "batch-F"
		162	+}

added content/tools/borgbackup.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "borgbackup",
		3	+ "name": "BorgBackup",
		4	+ "aliases": ["Borg", "borg"],
		5	+ "vendor": { "name": "The Borg Collective", "slug": "borg-collective", "website": "https://www.borgbackup.org" },
		6	+ "homepage_url": "https://www.borgbackup.org/",
		7	+ "docs_url": "https://borgbackup.readthedocs.io/en/stable/",
		8	+ "repo_url": "https://github.com/borgbackup/borg",
		9	+ "license_url": "https://github.com/borgbackup/borg/blob/master/LICENSE",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Deduplicating backup archiver with compression and authenticated encryption that stores repositories on local disks or remote hosts over SSH",
		13	+ "description": "BorgBackup is an open-source backup program, licensed under a BSD license and maintained by the Borg Collective, that forked from Attic. It splits files into content-defined chunks, stores each unique chunk once across all archives and machines sharing a repository, compresses them with lz4, zstd, zlib or lzma, and encrypts and authenticates them so a remote repository host only ever holds ciphertext. Repositories live on local storage or on any machine reachable over SSH that has borg installed, and archives can be mounted with FUSE to browse old versions.\n\nThe stable 1.4 series is what most users run; the 2.0 rewrite is in beta and not recommended for production. Borg is written in Python with C extensions and is installed from distribution packages, single-file binaries or pip on Linux, macOS and BSD. Frontends such as Borgmatic and Vorta add configuration files, scheduling and a GUI, and hosted providers offer Borg-compatible storage.\n\nIts weak spots are the lack of native object-storage backends in the stable series, the requirement that the remote side run borg for efficient SSH repositories, and a repository lock that discourages concurrent access.",
		14	+ "capabilities": ["Content-defined chunking with deduplication across archives and clients", "Compression with lz4, zstd, zlib or lzma", "Authenticated encryption so the repository host sees only ciphertext", "Repositories on local disks or remote hosts over SSH", "FUSE mounting of archives and selective extraction", "Pruning by retention policy and integrity checking"],
		15	+ "workflows": ["Back up a laptop to a home server over SSH with Borgmatic", "Keep deduplicated archives of several hosts in one repository", "Mount an old archive to recover a single file"],
		16	+ "advantages": ["Mature deduplication and compression", "Server never needs to be trusted with plaintext", "Rich frontends (Borgmatic, Vorta)"],
		17	+ "limitations": ["No native S3 or cloud backends in the stable series", "Remote repositories work best when borg is installed on the server", "Single-writer repository locking"],
		18	+ "prerequisites": ["Linux, macOS or BSD client", "Local disk or SSH-reachable host for the repository"],
		19	+ "audiences": ["Linux and macOS users", "Administrators backing up servers to an SSH host"],
		20	+ "alternatives": ["restic", "rclone"],
		21	+ "comparison_notes": "restic shares the encrypted, deduplicated design but targets object storage natively and ships as a Go binary with no remote-side requirement; Borg has had compression longer and is usually paired with SSH hosts. rclone complements both as a transfer tool rather than a snapshotting backup.",
		22	+ "categories": [{ "slug": "backup-recovery", "primary": true }],
		23	+ "tags": ["backup", "deduplication", "encryption", "compression", "cli", "open-source", "ssh", "python"],
		24	+ "use_cases": ["back-up-data"],
		25	+ "operating_systems": ["linux", "macos"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop", "on-premises"],
		29	+ "integrations": ["SSH", "Borgmatic", "Vorta", "BorgBase", "Hetzner Storage Box"],
		30	+ "data_formats": ["Borg repository format"],
		31	+ "languages": ["Python", "C"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "BSD-3-Clause",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.borgbackup.org/", "type": "official_site", "title": "BorgBackup – Deduplicating archiver with compression and authenticated encryption", "supports": ["name", "summary", "capabilities", "operating_systems"], "checked_at": "2026-11-02", "note": "Lists stable 1.4.5 (2026-07-19) and 2.0 beta as not production ready." },
		38	+ { "url": "https://borgbackup.readthedocs.io/en/stable/", "type": "official_docs", "title": "Borg Documentation", "supports": ["capabilities", "workflows", "limitations"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/borgbackup/borg/blob/master/LICENSE", "type": "license_page", "title": "Borg LICENSE (BSD)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/braintrust.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "braintrust",
		3	+ "name": "Braintrust",
		4	+ "aliases": ["Braintrust Data", "braintrust.dev"],
		5	+ "vendor": { "name": "Braintrust Data, Inc.", "slug": "braintrust-data", "website": "https://www.braintrust.dev" },
		6	+ "homepage_url": "https://www.braintrust.dev/",
		7	+ "docs_url": "https://docs.braintrust.dev/",
		8	+ "repo_url": "https://github.com/braintrustdata/braintrust-sdk-javascript",
		9	+ "pricing_url": "https://www.braintrust.dev/pricing",
		10	+ "product_type": "platform",
		11	+ "product_status": "active",
		12	+ "summary": "Hosted observability and evaluation platform for AI agents with tracing, experiments, pattern detection, a CLI, MCP access and an AI assistant (Loop) that analyzes traces and builds evals",
		13	+ "description": "Braintrust is a commercial platform for instrumenting, understanding and improving AI agents. Applications send traces through open-source SDKs (TypeScript and Python, Apache-2.0) or the `bt` CLI; the platform then supports experiments that compare prompts and models, datasets built from human annotation, and a Patterns feature that surfaces recurring problems in traces with suggested fixes. Loop, an embedded agent, can analyze data and generate evaluations on request, and an MCP server exposes Braintrust data and actions to coding assistants. The workflow is organized as Instrument, Observe, Annotate, Evaluate, Deploy and Admin.\n\nPlans are Starter (entry tier), Pro and Enterprise, differing in retention, included processing and governance features; Enterprise adds SAML SSO, custom retention and on-premises or hosted deployment for sensitive data. The SDKs are open source but the platform is proprietary and hosted, so self-hosting is an enterprise arrangement rather than a download. Braintrust is a strong fit for teams who want evals and production traces in one place with a polished UI; those needing a free self-hosted stack typically look at Langfuse.",
		14	+ "capabilities": ["Tracing of agent runs with pattern detection", "Experiments comparing prompts and models with scorers", "Datasets built from annotation and production data", "Loop AI assistant for analysis and eval generation", "`bt` CLI and MCP server for tool integration", "Open-source TypeScript and Python SDKs"],
		15	+ "workflows": ["Instrument an agent and triage recurring failures from Patterns", "Run an experiment across model versions before shipping", "Ask Loop to draft evaluators from annotated traces"],
		16	+ "advantages": ["Evals and observability tightly coupled", "Open-source SDKs", "Agent-assisted analysis built in"],
		17	+ "limitations": ["Proprietary hosted platform", "Self-hosting only on Enterprise", "Retention and processing metered by plan"],
		18	+ "prerequisites": ["Braintrust account and API key", "TypeScript or Python application to instrument"],
		19	+ "audiences": ["Product teams shipping LLM features", "AI engineers running systematic evals"],
		20	+ "alternatives": ["langfuse", "langsmith", "weights-and-biases", "promptfoo"],
		21	+ "categories": [{ "slug": "llm-ops", "primary": true }],
		22	+ "tags": ["llm", "evaluation", "monitoring", "agents", "typescript", "python"],
		23	+ "use_cases": ["evaluate-llm-apps", "monitor-services"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "sdk", "cli", "mcp-server"],
		27	+ "deployment_models": ["saas", "on-premises"],
		28	+ "integrations": ["OpenAI", "Anthropic", "Vercel AI SDK", "Model Context Protocol"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": ["TypeScript", "Python"],
		31	+ "source_model": "mixed",
		32	+ "pricing_model": ["freemium", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": null,
		35	+ "sources": [
		36	+ { "url": "https://www.braintrust.dev/", "type": "official_site", "title": "Braintrust", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.braintrust.dev/", "type": "official_docs", "title": "Braintrust documentation", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.braintrust.dev/pricing", "type": "pricing_page", "supports": ["pricing_model", "deployment_models"], "checked_at": "2026-11-02", "note": "Starter, Pro, Enterprise" },
		39	+ { "url": "https://github.com/braintrustdata/braintrust-sdk-javascript", "type": "repository", "title": "Braintrust JavaScript SDK (Apache-2.0)", "supports": ["languages", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "medium",
		42	+ "uncertainty_note": "Self-hosting is described only as an Enterprise on-prem option, so self_hostable is left null. Starter is the entry plan; the pricing page does not label any tier as free.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/brave-search-api.json +45 −0

				@@ -0,0 +1,45 @@
		1	+{
		2	+ "slug": "brave-search-api",
		3	+ "name": "Brave Search API",
		4	+ "aliases": ["Brave Web Search API"],
		5	+ "vendor": { "name": "Brave Software, Inc.", "slug": "brave", "website": "https://brave.com/" },
		6	+ "homepage_url": "https://brave.com/search/api/",
		7	+ "docs_url": "https://api-dashboard.search.brave.com/app/documentation",
		8	+ "pricing_url": "https://brave.com/search/api/",
		9	+ "product_type": "api-service",
		10	+ "product_status": "active",
		11	+ "summary": "Developer API over Brave's independent web index offering web, news, image, video, LLM-context and grounded-answer endpoints on prepaid credits",
		12	+ "description": "Brave Search API gives developers programmatic access to the index behind Brave Search, which Brave states is built by its own crawler without falling back to Google or Bing. Endpoints return web results with snippets and metadata, plus news, images, videos and location results; an LLM Context endpoint returns ranked extracted passages sized for model input, and an Answers endpoint produces cited, grounded answers through an OpenAI-compatible chat interface. Requests are authenticated with a subscription token obtained from the API dashboard.\n\nPricing is prepaid credits rather than a subscription: a free monthly allowance is included, usage is charged per request (plus tokens for Answers), and an enterprise tier offers custom terms and capacity. The API is a common choice for agents and RAG systems that want an independent index, and Brave publishes an MCP server for it.\n\nIt is proprietary and hosted; coverage reflects Brave's own crawl, which is smaller than Google's, and the richer endpoints consume more credits.",
		13	+ "capabilities": ["Web search with snippets and metadata", "News, image, video and local results", "LLM Context endpoint with extracted passages", "Grounded, cited answers via a chat-completions interface", "Spellcheck and freshness and safe-search parameters", "Prepaid credit billing with a free allowance"],
		14	+ "workflows": ["Add web grounding to a chatbot through the LLM Context endpoint", "Replace a retired Google Custom Search integration", "Run keyword monitoring across news and web"],
		15	+ "advantages": ["Independent index not derived from Google or Bing", "Pay only for credits used", "Endpoints designed for LLM input"],
		16	+ "limitations": ["Proprietary hosted service", "Smaller index than the largest engines", "Advanced endpoints cost more credits"],
		17	+ "prerequisites": ["Brave Search API account and token"],
		18	+ "audiences": ["Agent and RAG developers", "Teams needing a privacy-oriented search backend"],
		19	+ "alternatives": ["serpapi", "tavily", "exa"],
		20	+ "categories": [{ "slug": "search-apis", "primary": true }],
		21	+ "tags": ["api", "web-search", "llm", "agents", "privacy", "mcp"],
		22	+ "use_cases": ["search-the-web-programmatically", "build-agents"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["api", "web", "mcp-server"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Model Context Protocol", "LangChain", "OpenAI-compatible clients"],
		28	+ "data_formats": ["JSON"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://brave.com/search/api/", "type": "official_site", "title": "Brave Search API", "supports": ["name", "summary", "capabilities", "pricing_model"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://api-dashboard.search.brave.com/app/documentation", "type": "official_docs", "title": "Brave Search API documentation", "supports": ["capabilities", "prerequisites"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "high",
		39	+ "discovery_method": "editorial-research",
		40	+ "depth": "standard",
		41	+ "editorial_status": "reviewed",
		42	+ "visibility": "public",
		43	+ "featured": false,
		44	+ "author": "batch-C"
		45	+}

added content/tools/bright-data.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "bright-data",
		3	+ "name": "Bright Data",
		4	+ "aliases": ["Luminati Networks"],
		5	+ "vendor": { "name": "Bright Data Ltd.", "slug": "bright-data", "website": "https://brightdata.com/" },
		6	+ "homepage_url": "https://brightdata.com/",
		7	+ "docs_url": "https://docs.brightdata.com/introduction",
		8	+ "pricing_url": "https://brightdata.com/pricing",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Web data platform combining residential, datacenter and ISP proxy networks with unblocking, SERP and scraper APIs, remote browsers, ready-made datasets and an MCP server",
		12	+ "description": "Bright Data (formerly Luminati Networks) is a large commercial provider of web-data infrastructure. Its foundation is a set of proxy networks (residential, datacenter, ISP and mobile) with routing tools; on top of them it sells a Web Unlocker API that returns pages from protected sites, a SERP API for structured search results, a Browser API that provides remote browsers for Playwright or Puppeteer scripts, Scraper APIs with pre-built collectors for many popular sites, a Scraper Studio for custom collectors, and a marketplace of ready-made datasets. Newer offerings include an MCP server and CLI that let LLM agents fetch live web content, and managed data-collection services.\n\nAccess is through a REST API with bearer tokens and SDKs for Python and JavaScript. Pricing is largely usage-based with a free monthly credit allowance, separate plans per proxy network, per-record dataset and scraper pricing, and custom enterprise agreements.\n\nBright Data targets enterprises and data teams that need scale and reliability on difficult sites. It is proprietary and comparatively complex to navigate given the number of products, costs for residential traffic can be significant, and the ethics and legality of proxy-based collection depend on the use case and jurisdiction.",
		13	+ "capabilities": ["Residential, datacenter, ISP and mobile proxy networks", "Web Unlocker for protected pages", "SERP API returning structured search results", "Remote Browser API for Playwright and Puppeteer", "Pre-built Scraper APIs and custom Scraper Studio", "Dataset marketplace and web archive snapshots", "MCP server and CLI for agents"],
		14	+ "workflows": ["Route a crawler through rotating residential IPs", "Pull structured search results at scale", "Buy a ready-made dataset instead of crawling", "Give an agent live page access via MCP"],
		15	+ "advantages": ["Very large proxy pool and site coverage", "Many access modes from raw proxies to finished datasets", "Enterprise support and managed services"],
		16	+ "limitations": ["Proprietary and complex product catalog", "Residential traffic costs add up quickly", "Legal and ethical considerations for proxy-based collection"],
		17	+ "prerequisites": ["Account with API token"],
		18	+ "audiences": ["Enterprise data teams", "Developers scraping heavily protected sites", "Analysts buying datasets"],
		19	+ "alternatives": ["zyte", "scrapfly", "apify", "serpapi"],
		20	+ "categories": [{ "slug": "data-collection-crawling", "primary": true }, { "slug": "search-apis" }],
		21	+ "tags": ["proxies", "scraping", "api", "datasets", "enterprise", "mcp", "browser-automation"],
		22	+ "use_cases": ["crawl-websites", "collect-web-data", "search-the-web-programmatically"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["api", "sdk", "cli", "web", "mcp-server", "browser-extension"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Playwright", "Puppeteer", "Selenium", "Claude Code", "Cursor", "Codex CLI", "Model Context Protocol"],
		28	+ "data_formats": ["JSON", "CSV", "HTML", "NDJSON"],
		29	+ "languages": ["Python", "JavaScript"],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "usage-based", "paid", "enterprise"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://brightdata.com/", "type": "official_site", "title": "Bright Data", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://docs.brightdata.com/introduction", "type": "official_docs", "title": "Bright Data documentation – Introduction", "supports": ["capabilities", "integrations", "languages", "description"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://brightdata.com/pricing", "type": "pricing_page", "title": "Bright Data pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-C"
		46	+}

added content/tools/browsertrix.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "browsertrix",
		3	+ "name": "Browsertrix",
		4	+ "aliases": ["Browsertrix Cloud", "Browsertrix Crawler"],
		5	+ "vendor": { "name": "Webrecorder", "slug": "webrecorder", "website": "https://webrecorder.net/" },
		6	+ "homepage_url": "https://webrecorder.net/browsertrix/",
		7	+ "docs_url": "https://docs.browsertrix.com/",
		8	+ "repo_url": "https://github.com/webrecorder/browsertrix",
		9	+ "license_url": "https://github.com/webrecorder/browsertrix/blob/main/LICENSE",
		10	+ "pricing_url": "https://webrecorder.net/browsertrix/pricing/",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Webrecorder's browser-based web archiving system, available hosted or self-hosted, that crawls sites with real browsers into signed WACZ files replayable with ReplayWeb.page",
		14	+ "description": "Browsertrix is a high-fidelity web archiving platform from Webrecorder, the organization behind the WACZ format and ReplayWeb.page. Rather than fetching raw HTML, it drives real browsers through a site, executing JavaScript and capturing media and interactive content, and packages the result as digitally signed WACZ files (which contain standard WARC data). Crawl workflows define scope, limits and schedules; teams can pause and resume crawls, review quality with side-by-side comparisons of screenshots, text and HTML against the live site, annotate problem pages, and merge crawls into collections that can be kept private or published to a gallery with embedded replay.\n\nIt is offered as a hosted subscription with tiers bounded by execution minutes, storage and concurrency and a short free trial, and as open-source software under AGPL-3.0 that institutions can self-host (the deployment targets Kubernetes). The underlying Browsertrix Crawler can also be run on its own in Docker. Browsertrix is widely used by libraries, archives and researchers who need faithful captures of modern websites.\n\nLimits: browser-based crawling is slower and more resource-intensive than HTTP crawling, self-hosting requires Kubernetes operations skills, and the AGPL license matters for organizations that modify and host it.",
		15	+ "capabilities": ["Browser-based crawling of JavaScript-heavy sites", "Signed WACZ output containing WARC data", "Scheduled, pausable workflows with scope controls", "Crawl QA comparing archive against the live site", "Collections with public galleries and embedded ReplayWeb.page playback", "Hosted service or AGPL self-hosting"],
		16	+ "workflows": ["Archive an institutional website monthly with QA review", "Capture a social-media or media-rich site faithfully", "Publish a collection of archived sites for researchers"],
		17	+ "advantages": ["High-fidelity captures of modern web content", "Open formats and open-source code", "Team collaboration and review tooling"],
		18	+ "limitations": ["Slower and heavier than HTTP crawlers", "Self-hosting needs Kubernetes", "AGPL obligations for modified hosted deployments"],
		19	+ "prerequisites": ["Browsertrix account, or Kubernetes cluster for self-hosting"],
		20	+ "audiences": ["Libraries, archives and memory institutions", "Researchers preserving dynamic websites"],
		21	+ "alternatives": ["archivebox", "wayback-machine", "crawlee"],
		22	+ "categories": [{ "slug": "web-archiving", "primary": true }, { "slug": "data-collection-crawling" }],
		23	+ "tags": ["web-archive", "browser-automation", "warc", "wacz", "open-source", "kubernetes", "self-hosted"],
		24	+ "use_cases": ["archive-web-pages", "crawl-websites"],
		25	+ "operating_systems": ["web", "linux"],
		26	+ "execution_modes": ["cloud", "self-hosted"],
		27	+ "interfaces": ["web", "api", "cli"],
		28	+ "deployment_models": ["saas", "on-premises"],
		29	+ "integrations": ["ReplayWeb.page", "Browsertrix Crawler", "Kubernetes", "S3-compatible storage"],
		30	+ "data_formats": ["WACZ", "WARC", "CDXJ"],
		31	+ "languages": ["Python", "TypeScript", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "AGPL-3.0-only",
		34	+ "pricing_model": ["paid", "enterprise", "open-source"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": true,
		37	+ "sources": [
		38	+ { "url": "https://webrecorder.net/browsertrix/", "type": "official_site", "title": "Browsertrix – Webrecorder", "supports": ["name", "summary", "capabilities", "pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://docs.browsertrix.com/", "type": "official_docs", "title": "Browsertrix documentation", "supports": ["capabilities", "deployment_models"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://webrecorder.net/browsertrix/pricing/", "type": "pricing_page", "title": "Browsertrix pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/webrecorder/browsertrix/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-C"
		50	+}

added content/tools/bruno.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "bruno",
		3	+ "name": "Bruno",
		4	+ "aliases": ["usebruno"],
		5	+ "vendor": { "name": "Bruno Software", "slug": "bruno-software", "website": "https://www.usebruno.com" },
		6	+ "homepage_url": "https://www.usebruno.com/",
		7	+ "docs_url": "https://docs.usebruno.com/",
		8	+ "repo_url": "https://github.com/usebruno/bruno",
		9	+ "license_url": "https://github.com/usebruno/bruno/blob/main/license.md",
		10	+ "pricing_url": "https://www.usebruno.com/pricing",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source, offline-first API client that stores collections as plain-text .bru files in a Git repository, with a CLI for running requests in CI",
		14	+ "description": "Bruno is a desktop API client developed by Bruno Software and released under the MIT license. Its defining design decision is storage: collections live as folders of plain-text files written in Bru, a small markup language, directly on disk, so requests, environments and tests are versioned and reviewed with Git like any other source file. There is no mandatory account and no cloud synchronization; collaboration happens through the repository.\n\nBruno supports HTTP and GraphQL requests, environments and secrets, scripting and assertions in JavaScript, OpenAPI and Postman collection import, and a command-line runner for CI pipelines. The client runs on macOS, Windows and Linux. The company offers paid tiers that add features for teams while the core application remains free and open source. Limitations are a narrower protocol range than Postman (no native gRPC or WebSocket parity at the same depth), a smaller ecosystem of integrations, and a file format specific to Bruno, although import and export paths exist.",
		15	+ "capabilities": ["Plain-text collections stored in Git-friendly files", "Offline operation without an account", "Environments, secrets and variables", "JavaScript scripting and assertions", "OpenAPI and Postman import", "CLI runner for CI pipelines"],
		16	+ "workflows": ["Keep API requests beside the service code in the same repository", "Review request changes in pull requests", "Run collection tests in CI with the CLI"],
		17	+ "advantages": ["Data stays local and under version control", "Open source under MIT", "Lightweight compared with cloud-first clients"],
		18	+ "limitations": ["Fewer protocols and integrations than Postman", "Bru format is specific to the tool", "Team features in paid tiers"],
		19	+ "prerequisites": ["macOS, Windows or Linux desktop"],
		20	+ "audiences": ["Developers who want API collections in Git", "Privacy-conscious teams"],
		21	+ "alternatives": ["postman", "hoppscotch"],
		22	+ "comparison_notes": "Postman offers broader protocol support and cloud collaboration at the cost of proprietary sync; Hoppscotch is a browser-based open-source client that can be self-hosted. Bruno is the choice when collections must be plain files reviewed through Git.",
		23	+ "categories": [{ "slug": "api-development", "primary": true }],
		24	+ "tags": ["api", "testing", "http", "open-source", "macos", "cli"],
		25	+ "use_cases": ["test-apis"],
		26	+ "operating_systems": ["macos", "windows", "linux"],
		27	+ "execution_modes": ["local"],
		28	+ "interfaces": ["desktop", "cli"],
		29	+ "deployment_models": ["desktop"],
		30	+ "integrations": ["Git", "OpenAPI", "Postman import", "GitHub Actions"],
		31	+ "data_formats": ["Bru", "OpenAPI", "JSON", "GraphQL"],
		32	+ "languages": ["JavaScript"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "freemium", "paid"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": null,
		38	+ "sources": [
		39	+ { "url": "https://www.usebruno.com/", "type": "official_site", "title": "Bruno", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.usebruno.com/", "type": "official_docs", "title": "Bruno Docs", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/usebruno/bruno/blob/main/license.md", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://www.usebruno.com/pricing", "type": "pricing_page", "title": "Bruno pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/bullmq.json +162 −0

				@@ -0,0 +1,162 @@
		1	+{
		2	+ "aliases": [
		3	+ "Bull"
		4	+ ],
		5	+ "workflows": [
		6	+ "Background processing for a Next.js or Express API",
		7	+ "Scheduled scraping or data refresh jobs",
		8	+ "Pipelines of dependent jobs with flows"
		9	+ ],
		10	+ "advantages": [
		11	+ "Low latency and atomic operations via Redis Lua scripts",
		12	+ "Rich job options and TypeScript types",
		13	+ "MIT core with optional commercial extensions"
		14	+ ],
		15	+ "limitations": [
		16	+ "Requires Redis or a compatible server",
		17	+ "No transactional coupling with a SQL database",
		18	+ "Some features reserved to BullMQ Pro"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Node.js (or Python) and a Redis-compatible server"
		22	+ ],
		23	+ "audiences": [
		24	+ "Node.js and TypeScript backend developers"
		25	+ ],
		26	+ "alternatives": [
		27	+ "pg-boss",
		28	+ "rabbitmq",
		29	+ "nats",
		30	+ "redis",
		31	+ "apache-kafka"
		32	+ ],
		33	+ "tags": [
		34	+ "job-queue",
		35	+ "redis",
		36	+ "nodejs",
		37	+ "typescript",
		38	+ "python",
		39	+ "open-source"
		40	+ ],
		41	+ "use_cases": [
		42	+ "queue-background-jobs"
		43	+ ],
		44	+ "operating_systems": [
		45	+ "macos",
		46	+ "linux",
		47	+ "windows"
		48	+ ],
		49	+ "deployment_models": [
		50	+ "embedded"
		51	+ ],
		52	+ "integrations": [
		53	+ "Redis",
		54	+ "Valkey",
		55	+ "Dragonfly",
		56	+ "NestJS",
		57	+ "Taskforce.sh dashboard",
		58	+ "Bull Board"
		59	+ ],
		60	+ "data_formats": [
		61	+ "JSON job payloads"
		62	+ ],
		63	+ "languages": [
		64	+ "TypeScript",
		65	+ "JavaScript",
		66	+ "Python"
		67	+ ],
		68	+ "self_hostable": true,
		69	+ "discovery_method": "editorial-research",
		70	+ "depth": "standard",
		71	+ "editorial_status": "reviewed",
		72	+ "visibility": "public",
		73	+ "featured": false,
		74	+ "author": "batch-D",
		75	+ "slug": "bullmq",
		76	+ "name": "BullMQ",
		77	+ "vendor": {
		78	+ "name": "Taskforce.sh (BullForce Labs AB)",
		79	+ "slug": "taskforce-sh",
		80	+ "website": "https://bullmq.io/"
		81	+ },
		82	+ "homepage_url": "https://bullmq.io/",
		83	+ "docs_url": "https://docs.bullmq.io/",
		84	+ "repo_url": "https://github.com/taskforcesh/bullmq",
		85	+ "license_url": "https://github.com/taskforcesh/bullmq/blob/master/LICENSE",
		86	+ "product_type": "library",
		87	+ "product_status": "active",
		88	+ "summary": "Redis-backed job and message queue for Node.js (with a Python port) offering workers, flows, rate limiting, repeatable jobs and a commercial Pro tier",
		89	+ "description": "BullMQ is a job and message queue library built on Redis, written in TypeScript and released under the MIT license by Taskforce.sh (BullForce Labs AB); it succeeds the earlier Bull library. Producers add jobs with options for delay, priority, attempts and backoff; Worker processes consume them with configurable concurrency, and Lua scripts executed inside Redis keep state transitions atomic. Features include repeatable jobs by cron or interval, rate limiting, job dependencies through flows (parent jobs that wait for children), sandboxed processors in child processes or threads, events for progress and completion, and metrics. A Python implementation shares the data model so that Node and Python workers can process the same queues. BullMQ Pro adds groups, batches and observables under a commercial license, and Taskforce.sh sells a hosted dashboard; Redis-compatible servers such as Valkey and Dragonfly are supported.\n\nBullMQ is the common choice for Node applications that already run Redis and need low-latency background processing. It requires Redis, offers no transactional enqueueing with a relational database, and large job histories must be pruned to keep Redis memory in check.",
		90	+ "capabilities": [
		91	+ "Queues and workers with concurrency and sandboxed processors",
		92	+ "Delayed, prioritized and repeatable (cron) jobs",
		93	+ "Retries with backoff and rate limiting",
		94	+ "Flows for parent-child job dependencies",
		95	+ "Events, progress reporting and metrics",
		96	+ "Node.js and Python workers sharing one queue format"
		97	+ ],
		98	+ "categories": [
		99	+ {
		100	+ "slug": "messaging-queues",
		101	+ "primary": true
		102	+ }
		103	+ ],
		104	+ "execution_modes": [
		105	+ "self-hosted",
		106	+ "local"
		107	+ ],
		108	+ "interfaces": [
		109	+ "library"
		110	+ ],
		111	+ "source_model": "mixed",
		112	+ "license_spdx": "MIT",
		113	+ "pricing_model": [
		114	+ "open-source",
		115	+ "free",
		116	+ "paid"
		117	+ ],
		118	+ "sources": [
		119	+ {
		120	+ "url": "https://bullmq.io/",
		121	+ "type": "official_site",
		122	+ "supports": [
		123	+ "name",
		124	+ "summary",
		125	+ "vendor"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "BullMQ"
		129	+ },
		130	+ {
		131	+ "url": "https://docs.bullmq.io/",
		132	+ "type": "official_docs",
		133	+ "supports": [
		134	+ "capabilities",
		135	+ "languages"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "BullMQ documentation"
		139	+ },
		140	+ {
		141	+ "url": "https://github.com/taskforcesh/bullmq/blob/master/LICENSE",
		142	+ "type": "license_page",
		143	+ "supports": [
		144	+ "license_spdx",
		145	+ "source_model"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "BullMQ LICENSE (MIT)"
		149	+ },
		150	+ {
		151	+ "url": "https://github.com/taskforcesh/bullmq",
		152	+ "type": "repository",
		153	+ "supports": [
		154	+ "repo_url"
		155	+ ],
		156	+ "checked_at": "2026-11-02",
		157	+ "title": "taskforcesh/bullmq"
		158	+ }
		159	+ ],
		160	+ "confidence": "high",
		161	+ "uncertainty_note": "BullMQ Pro pricing was not reviewed; pricing_model lists paid for the Pro tier without a pricing_url."
		162	+}

added content/tools/bun.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "bun",
		3	+ "name": "Bun",
		4	+ "aliases": ["Bun.js", "Bun runtime"],
		5	+ "vendor": { "name": "Oven", "slug": "oven", "website": "https://bun.sh" },
		6	+ "homepage_url": "https://bun.sh/",
		7	+ "docs_url": "https://bun.sh/docs",
		8	+ "repo_url": "https://github.com/oven-sh/bun",
		9	+ "license_url": "https://github.com/oven-sh/bun/blob/main/LICENSE.md",
		10	+ "product_type": "language",
		11	+ "product_status": "active",
		12	+ "summary": "All-in-one JavaScript and TypeScript runtime, package manager, bundler and test runner built on JavaScriptCore by Oven",
		13	+ "description": "Bun is a JavaScript and TypeScript runtime developed by Oven, written in Zig and built on Apple's JavaScriptCore engine rather than V8. It ships as a single binary that combines a runtime with Node.js API compatibility, an npm-compatible package manager, a bundler, a test runner and a shell scripting helper. TypeScript and JSX files run directly without a build step.\n\nBun is commonly adopted to speed up install and test cycles in existing Node projects, since `bun install` and `bun test` can usually be dropped into a repository that keeps Node for production. It also serves as a full runtime for Hono, Elysia or Next.js applications on macOS and Linux. Caveats: Node compatibility is extensive but not complete, so some native modules and edge cases behave differently; Windows support arrived later and is less mature; and the core team is small relative to Node's, so production teams should verify their dependency set.",
		14	+ "capabilities": ["JavaScript and TypeScript execution without a compile step", "npm-compatible package manager with lockfile", "Built-in bundler and test runner", "Node.js API compatibility layer", "Native SQLite, HTTP server and WebSocket APIs"],
		15	+ "workflows": ["Replace npm install and Jest in an existing repository for faster CI", "Run a Hono or Express API directly from TypeScript sources", "Bundle a front end without a separate bundler"],
		16	+ "advantages": ["Single binary covering runtime, packages, bundling and tests", "Runs TypeScript directly", "MIT license"],
		17	+ "limitations": ["Node.js compatibility is not complete", "Smaller team and ecosystem than Node", "Statically links JavaScriptCore (LGPL), which matters for redistribution"],
		18	+ "prerequisites": ["macOS, Linux or Windows; install script, Homebrew or npm"],
		19	+ "audiences": ["JavaScript developers seeking faster toolchains", "Teams building TypeScript APIs", "Front-end developers"],
		20	+ "alternatives": ["nodejs", "deno", "vite", "jest"],
		21	+ "comparison_notes": "Node.js is the compatibility baseline Bun targets and remains the most widely tested runtime; Deno, the other alternative runtime, emphasizes web-standard APIs and a permission model. Vite and Jest are the single-purpose tools Bun's bundler and test runner most often replace.",
		22	+ "categories": [{ "slug": "programming-languages", "primary": true }],
		23	+ "tags": ["javascript", "typescript", "open-source", "cli", "runtime"],
		24	+ "use_cases": ["build-web-apps", "host-web-apps"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["on-premises", "desktop"],
		29	+ "integrations": ["npm registry", "Hono", "Next.js", "TypeScript", "Docker"],
		30	+ "data_formats": ["JSON", "TOML (bunfig)", "bun.lock", "SQLite"],
		31	+ "languages": ["Zig", "JavaScript", "TypeScript", "C++"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://bun.sh/", "type": "official_site", "title": "Bun — A fast all-in-one JavaScript runtime", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://bun.sh/docs", "type": "official_docs", "title": "Bun Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/oven-sh/bun/blob/main/LICENSE.md", "type": "license_page", "supports": ["license_spdx", "limitations"], "checked_at": "2026-11-02", "note": "Bun itself MIT; statically linked JavaScriptCore is LGPL-2" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/caddy.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "caddy",
		3	+ "name": "Caddy",
		4	+ "aliases": ["Caddy Server", "Caddy 2"],
		5	+ "vendor": { "name": "Caddy project (sponsored by ZeroSSL)", "slug": "caddy-project", "website": "https://caddyserver.com" },
		6	+ "homepage_url": "https://caddyserver.com/",
		7	+ "docs_url": "https://caddyserver.com/docs/",
		8	+ "repo_url": "https://github.com/caddyserver/caddy",
		9	+ "license_url": "https://github.com/caddyserver/caddy/blob/master/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Go web server and reverse proxy that obtains and renews TLS certificates automatically and is configured with a short Caddyfile or a JSON API",
		13	+ "description": "Caddy is an open-source web server and reverse proxy written in Go and released under Apache-2.0. Its defining trait is automatic HTTPS: for every host it serves, Caddy requests a certificate through ACME from Let's Encrypt or ZeroSSL, renews it before expiry, redirects HTTP to HTTPS and keeps a sane TLS configuration without the operator touching a cipher list. Internal and wildcard certificates, DNS-challenge plugins and on-demand issuance for arbitrary hostnames are handled in the same way.\n\nConfiguration comes in two forms. The Caddyfile is a compact text format where a site block with a `reverse_proxy` line is enough to publish a local service, and `file_server`, `encode`, `basic_auth` and `handle_path` cover common needs. Underneath, Caddy runs on a JSON configuration that can be loaded and changed at runtime through its admin API, which makes it suitable as a programmable edge for platforms that add and remove routes dynamically. Additional modules, from DNS providers to rate limiting, are compiled in with the xcaddy tool rather than loaded at runtime.\n\nCaddy is widely used in front of applications on single servers and small clusters, where its defaults remove most TLS and proxy boilerplate. Its limitations follow from the design: custom builds are needed for plugins, HTTP/3 support depends on the quic-go stack, and very high-throughput or feature-specific deployments may still prefer NGINX's mature module set. The project is maintained by Matt Holt and sponsored commercially, notably by ZeroSSL.",
		14	+ "capabilities": ["Automatic certificate issuance and renewal through ACME (Let's Encrypt, ZeroSSL) including DNS challenges and on-demand TLS", "Reverse proxy with load balancing, health checks, header rewriting and WebSocket passthrough", "Static file serving with compression and directory listings", "Caddyfile text configuration and a JSON configuration loadable through a runtime admin API", "HTTP/1.1, HTTP/2 and HTTP/3 support", "Plugin modules compiled in with xcaddy (DNS providers, auth, rate limiting, Layer 4 proxying)"],
		15	+ "workflows": ["Publish a local web application over HTTPS with a three-line Caddyfile", "Act as the TLS-terminating gateway on a tunnel or VPS host and route many domains to backend nodes", "Add and remove routes programmatically through the admin API", "Serve a static site with automatic HTTPS"],
		16	+ "advantages": ["HTTPS by default with no certificate tooling to operate", "Short, readable configuration for common cases", "Single static binary written in memory-safe Go", "Runtime-reconfigurable through an API"],
		17	+ "limitations": ["Plugins require building a custom binary with xcaddy", "Fewer third-party modules and tuning knobs than NGINX", "Certificate automation needs public DNS and reachable ports or a DNS-provider plugin", "Caddyfile cannot express everything; some setups require the JSON form"],
		18	+ "prerequisites": ["A domain whose DNS points at the server (for public certificates)", "Ports 80/443 reachable, or DNS API credentials for the DNS challenge"],
		19	+ "audiences": ["Developers self-hosting web applications", "Operators of small server fleets and homelabs", "Platform teams needing a programmable edge"],
		20	+ "alternatives": ["nginx", "traefik", "cloudflare-tunnel"],
		21	+ "comparison_notes": "NGINX is the long-established reverse proxy with a broad module ecosystem but relies on external tools such as certbot for certificates. Traefik also automates ACME and discovers services from Docker or Kubernetes labels, which suits container-heavy environments better than a hand-written Caddyfile. Cloudflare Tunnel removes the need to expose ports at all by proxying through Cloudflare, at the cost of depending on that network; Caddy keeps TLS termination under the operator's control.",
		22	+ "categories": [{ "slug": "reverse-proxies-web-servers", "primary": true }],
		23	+ "tags": ["reverse-proxy", "web-server", "tls", "acme", "open-source", "self-hosted", "go", "cli"],
		24	+ "use_cases": ["host-web-apps", "expose-local-services", "terminate-tls"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["cli", "api"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["Let's Encrypt", "ZeroSSL", "Docker", "Cloudflare DNS", "Tailscale", "systemd"],
		30	+ "data_formats": ["Caddyfile", "JSON"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://caddyserver.com/", "type": "official_site", "title": "Caddy - The Ultimate Server with Automatic HTTPS", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://caddyserver.com/docs/", "type": "official_docs", "title": "Caddy Documentation", "supports": ["capabilities", "workflows", "data_formats"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/caddyserver/caddy/blob/master/LICENSE", "type": "license_page", "title": "Caddy LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": true,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/centris.json +133 −0

				@@ -0,0 +1,133 @@
		1	+{
		2	+ "slug": "centris",
		3	+ "name": "Centris.ca",
		4	+ "aliases": [
		5	+ "Centris"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Centris Corporation inc.",
		9	+ "slug": "centris-corporation",
		10	+ "website": "https://societecentris.ca"
		11	+ },
		12	+ "homepage_url": "https://www.centris.ca/en",
		13	+ "docs_url": "https://www.centris.ca/en/terms-use-privacy-policy",
		14	+ "product_type": "platform",
		15	+ "product_status": "active",
		16	+ "summary": "Québec's broker-fed real estate listings portal operated by Centris, with for-sale and rental listings, price statistics and a broker directory",
		17	+ "description": "Centris.ca is the public listings portal for properties marketed by Québec real estate brokers, operated by Centris Corporation inc. from Montréal. It publishes residential, plex, lot and commercial listings for sale and for rent, with photos, descriptions, municipal assessment figures and neighbourhood information, plus a broker directory, mortgage calculators and price statistics by city. For appraisers and researchers it is the most complete public view of brokered asking prices in the province, though sold prices are not shown to the public. Its terms of use grant a personal, non-commercial licence to browse and explicitly prohibit scraping, data mining, framing, indexing and any commercial reuse of content without written consent; there is no public API. Systematic data collection therefore requires a licensing arrangement with Centris or access through a broker.",
		18	+ "capabilities": [
		19	+ "Search of brokered listings for sale and rent across Québec",
		20	+ "Listing pages with photos, features and assessment data",
		21	+ "Price statistics by municipality",
		22	+ "Broker and agency directory",
		23	+ "Saved searches and alerts for registered users",
		24	+ "Mobile apps for iOS and Android"
		25	+ ],
		26	+ "workflows": [
		27	+ "Screen comparable asking prices before an appraisal",
		28	+ "Monitor a neighbourhood through saved-search alerts"
		29	+ ],
		30	+ "advantages": [
		31	+ "Broadest public coverage of brokered Québec listings",
		32	+ "Includes assessment and neighbourhood context on each listing"
		33	+ ],
		34	+ "limitations": [
		35	+ "Terms prohibit scraping, indexing and commercial reuse",
		36	+ "No public API or bulk data access",
		37	+ "Sold prices and full transaction history are not public"
		38	+ ],
		39	+ "prerequisites": [
		40	+ "Web browser; account optional for alerts"
		41	+ ],
		42	+ "audiences": [
		43	+ "Home buyers, sellers and renters in Québec",
		44	+ "Appraisers and researchers consulting asking prices manually"
		45	+ ],
		46	+ "alternatives": [
		47	+ "realtor-ca",
		48	+ "registre-foncier-quebec",
		49	+ "role-evaluation-fonciere-quebec"
		50	+ ],
		51	+ "comparison_notes": "REALTOR.ca is the national CREA portal and includes Québec listings syndicated from brokers, while Centris.ca is the province-specific portal with Québec-focused tools. The Registre foncier and municipal assessment rolls are official public records rather than marketing portals.",
		52	+ "categories": [
		53	+ {
		54	+ "slug": "real-estate-valuation",
		55	+ "primary": true
		56	+ }
		57	+ ],
		58	+ "tags": [
		59	+ "real-estate",
		60	+ "listings",
		61	+ "quebec",
		62	+ "canada"
		63	+ ],
		64	+ "use_cases": [
		65	+ "value-real-estate",
		66	+ "find-property-listings"
		67	+ ],
		68	+ "operating_systems": [
		69	+ "web",
		70	+ "ios",
		71	+ "android"
		72	+ ],
		73	+ "execution_modes": [
		74	+ "cloud"
		75	+ ],
		76	+ "interfaces": [
		77	+ "web",
		78	+ "mobile"
		79	+ ],
		80	+ "deployment_models": [
		81	+ "saas"
		82	+ ],
		83	+ "integrations": [],
		84	+ "data_formats": [
		85	+ "HTML"
		86	+ ],
		87	+ "languages": [],
		88	+ "source_model": "proprietary",
		89	+ "pricing_model": [
		90	+ "free"
		91	+ ],
		92	+ "self_hostable": false,
		93	+ "sources": [
		94	+ {
		95	+ "url": "https://www.centris.ca/en",
		96	+ "type": "official_site",
		97	+ "supports": [
		98	+ "name",
		99	+ "summary",
		100	+ "capabilities"
		101	+ ],
		102	+ "checked_at": "2026-11-02",
		103	+ "title": "Centris.ca"
		104	+ },
		105	+ {
		106	+ "url": "https://www.centris.ca/en/terms-use-privacy-policy",
		107	+ "type": "policy_page",
		108	+ "supports": [
		109	+ "limitations",
		110	+ "vendor"
		111	+ ],
		112	+ "checked_at": "2026-11-02",
		113	+ "title": "Centris terms of use and privacy policy",
		114	+ "note": "Prohibits scraping, data mining and commercial reuse"
		115	+ },
		116	+ {
		117	+ "url": "https://societecentris.ca/en/",
		118	+ "type": "official_site",
		119	+ "supports": [
		120	+ "vendor"
		121	+ ],
		122	+ "checked_at": "2026-11-02",
		123	+ "title": "Centris corporate site"
		124	+ }
		125	+ ],
		126	+ "confidence": "high",
		127	+ "depth": "standard",
		128	+ "featured": false,
		129	+ "discovery_method": "editorial-research",
		130	+ "editorial_status": "reviewed",
		131	+ "visibility": "public",
		132	+ "author": "batch-F"
		133	+}

added content/tools/chatgpt.json +44 −0

				@@ -0,0 +1,44 @@
		1	+{
		2	+ "slug": "chatgpt",
		3	+ "name": "ChatGPT",
		4	+ "aliases": ["ChatGPT app", "chatgpt.com"],
		5	+ "vendor": { "name": "OpenAI", "slug": "openai", "website": "https://developers.openai.com/api/docs" },
		6	+ "homepage_url": "https://chatgpt.com/",
		7	+ "docs_url": "https://learn.chatgpt.com/docs",
		8	+ "product_type": "application",
		9	+ "product_status": "active",
		10	+ "summary": "OpenAI's consumer and workplace assistant, available on the web, desktop and mobile, with projects, plugins, browsing, voice and the Codex coding agent",
		11	+ "description": "ChatGPT is OpenAI's end-user assistant built on its GPT model family. It runs in the browser at chatgpt.com, as desktop apps for macOS and Windows (including WSL and Linux variants documented in 2026) and as iOS and Android apps. The product has grown from a chat window into a workspace: projects and chats organize work, plugins and connectors reach external services, scheduled tasks and long-running work run in the background, and capabilities such as browsing, computer use, voice, image generation and file handling are built in. The same account also gives access to Codex, OpenAI's coding agent, through the desktop app, CLI, IDE extension and cloud.\n\nPlans are tiered from a free tier through Plus, Pro, Business, Enterprise and Edu, which differ in model access, usage limits and administration features. Team and enterprise tiers add shared workspaces and admin controls. ChatGPT is a hosted service only; conversations are processed on OpenAI's infrastructure, and the data-use settings differ between consumer and business plans, so organizations with strict data requirements usually look at the business tiers or the API instead. The public marketing and help pages reject automated clients, which makes independent verification of plan details harder than for most products.",
		12	+ "capabilities": ["Conversational assistant on web, macOS, Windows, iOS and Android", "Projects, chats and plugins for organizing and extending work", "Browsing, computer use, voice, image generation and file handling", "Scheduled tasks and long-running background work", "Codex coding agent accessible from the same account", "Workspace administration on Business, Enterprise and Edu plans"],
		13	+ "workflows": ["Research and drafting with web browsing and file uploads", "Voice conversations on mobile", "Delegating coding tasks to Codex from the desktop app"],
		14	+ "advantages": ["Single subscription spans chat, work and coding surfaces", "Native apps on all major platforms", "Large plugin and connector ecosystem"],
		15	+ "limitations": ["Hosted only; no local or self-hosted option", "Consumer and business plans have different data-use terms that must be checked", "Marketing and help sites block automated clients, so link checks fail"],
		16	+ "prerequisites": ["OpenAI account; paid plan for higher limits and Codex"],
		17	+ "audiences": ["General users and knowledge workers", "Students and educators (Edu plan)", "Teams on Business or Enterprise plans"],
		18	+ "alternatives": ["claude", "gemini"],
		19	+ "categories": [{ "slug": "ai-assistants", "primary": true }],
		20	+ "tags": ["llm", "assistant", "desktop", "mobile", "voice"],
		21	+ "use_cases": ["write-code-with-ai", "collaborate", "manage-notes"],
		22	+ "operating_systems": ["web", "macos", "windows", "ios", "android"],
		23	+ "execution_modes": ["cloud"],
		24	+ "interfaces": ["web", "desktop", "mobile"],
		25	+ "deployment_models": ["saas"],
		26	+ "integrations": ["Codex", "Model Context Protocol connectors", "Google Drive", "Slack"],
		27	+ "data_formats": ["PDF", "DOCX", "XLSX", "Images", "Audio"],
		28	+ "languages": [],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["freemium", "paid", "enterprise"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://chatgpt.com/", "type": "official_site", "title": "ChatGPT", "supports": ["name", "homepage_url"], "checked_at": "2026-11-02", "note": "Returns HTTP 403 to non-browser clients (bot protection); loads normally in a browser" },
		34	+ { "url": "https://learn.chatgpt.com/docs", "type": "official_docs", "title": "ChatGPT Learn — documentation", "supports": ["capabilities", "operating_systems", "interfaces", "pricing_model"], "checked_at": "2026-11-02", "note": "Lists desktop, mobile and web surfaces, plugins, scheduled tasks and the Plus/Pro/Business/Enterprise/Edu plan names" }
		35	+ ],
		36	+ "confidence": "medium",
		37	+ "uncertainty_note": "openai.com and chatgpt.com serve 403 to automated clients, so the official plan comparison page could not be loaded; plan names and features come from the learn.chatgpt.com documentation only. No pricing_url is recorded for that reason.",
		38	+ "discovery_method": "editorial-research",
		39	+ "depth": "standard",
		40	+ "editorial_status": "reviewed",
		41	+ "visibility": "public",
		42	+ "featured": false,
		43	+ "author": "batch-A"
		44	+}

added content/tools/chroma.json +180 −0

				@@ -0,0 +1,180 @@
		1	+{
		2	+ "aliases": [
		3	+ "ChromaDB"
		4	+ ],
		5	+ "workflows": [
		6	+ "Local RAG prototype inside a Jupyter notebook",
		7	+ "Vector store for a LangChain or LlamaIndex application",
		8	+ "Evaluation of embedding models on a document corpus"
		9	+ ],
		10	+ "advantages": [
		11	+ "Very small API surface",
		12	+ "Runs embedded with no server for development",
		13	+ "Apache 2.0 license"
		14	+ ],
		15	+ "limitations": [
		16	+ "Self-hosted server lacks distributed scaling",
		17	+ "Fewer index and quantization options than specialized engines",
		18	+ "Operational tooling is lighter than mature databases"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Python or Node.js, or a Chroma Cloud account"
		22	+ ],
		23	+ "audiences": [
		24	+ "Developers prototyping RAG applications",
		25	+ "Researchers running retrieval experiments"
		26	+ ],
		27	+ "alternatives": [
		28	+ "qdrant",
		29	+ "weaviate",
		30	+ "milvus",
		31	+ "pgvector",
		32	+ "pinecone"
		33	+ ],
		34	+ "tags": [
		35	+ "vector-search",
		36	+ "embeddings",
		37	+ "rag",
		38	+ "python",
		39	+ "typescript",
		40	+ "open-source"
		41	+ ],
		42	+ "use_cases": [
		43	+ "build-agents",
		44	+ "semantic-search"
		45	+ ],
		46	+ "operating_systems": [
		47	+ "macos",
		48	+ "linux",
		49	+ "windows"
		50	+ ],
		51	+ "deployment_models": [
		52	+ "embedded",
		53	+ "on-premises",
		54	+ "managed-cloud"
		55	+ ],
		56	+ "integrations": [
		57	+ "LangChain",
		58	+ "LlamaIndex",
		59	+ "OpenAI",
		60	+ "Ollama",
		61	+ "sentence-transformers"
		62	+ ],
		63	+ "data_formats": [
		64	+ "JSON documents and metadata"
		65	+ ],
		66	+ "languages": [
		67	+ "Python",
		68	+ "TypeScript",
		69	+ "Rust"
		70	+ ],
		71	+ "self_hostable": true,
		72	+ "discovery_method": "editorial-research",
		73	+ "depth": "standard",
		74	+ "editorial_status": "reviewed",
		75	+ "visibility": "public",
		76	+ "featured": false,
		77	+ "author": "batch-D",
		78	+ "slug": "chroma",
		79	+ "name": "Chroma",
		80	+ "vendor": {
		81	+ "name": "Chroma",
		82	+ "slug": "chroma-inc",
		83	+ "website": "https://www.trychroma.com/"
		84	+ },
		85	+ "homepage_url": "https://www.trychroma.com/",
		86	+ "docs_url": "https://docs.trychroma.com/",
		87	+ "repo_url": "https://github.com/chroma-core/chroma",
		88	+ "license_url": "https://github.com/chroma-core/chroma/blob/main/LICENSE",
		89	+ "pricing_url": "https://www.trychroma.com/pricing",
		90	+ "pricing_checked_at": "2026-11-02",
		91	+ "product_type": "database",
		92	+ "product_status": "active",
		93	+ "summary": "Open-source embedding database with a minimal Python and JavaScript API, usable in-process, as a server or through Chroma Cloud",
		94	+ "description": "Chroma is an open-source embedding database released under Apache 2.0 by the company of the same name. Its API is deliberately small: create a collection, add documents with optional metadata and embeddings, and query by text or vector with metadata and document filters. A pluggable embedding-function interface calls OpenAI, Cohere, Hugging Face, Ollama or local sentence-transformers so that users can hand Chroma raw text. The core has been rewritten in Rust, and the same client code works against an in-process instance in a notebook, a standalone server, or the hosted Chroma Cloud service.\n\nChroma is the default vector store in many LangChain and LlamaIndex tutorials and is well suited to prototypes, local RAG applications and evaluation experiments. Collections persist to local disk; full-text and regex search complement vector queries. Compared with Qdrant, Milvus or Weaviate, the self-hosted server has fewer options for distributed scaling and operational tuning, so large or multi-tenant production deployments are the domain of Chroma Cloud or a different engine.",
		95	+ "capabilities": [
		96	+ "Collections with vector, metadata and full-text filtering",
		97	+ "Pluggable embedding functions for hosted and local models",
		98	+ "In-process (embedded) or client-server operation",
		99	+ "Python and JavaScript/TypeScript clients",
		100	+ "Persistent local storage",
		101	+ "Managed Chroma Cloud with usage-based pricing"
		102	+ ],
		103	+ "categories": [
		104	+ {
		105	+ "slug": "vector-databases",
		106	+ "primary": true
		107	+ },
		108	+ {
		109	+ "slug": "embeddings-vector-search"
		110	+ }
		111	+ ],
		112	+ "execution_modes": [
		113	+ "local",
		114	+ "self-hosted",
		115	+ "cloud"
		116	+ ],
		117	+ "interfaces": [
		118	+ "library",
		119	+ "api",
		120	+ "cli"
		121	+ ],
		122	+ "source_model": "open-source",
		123	+ "license_spdx": "Apache-2.0",
		124	+ "pricing_model": [
		125	+ "open-source",
		126	+ "usage-based"
		127	+ ],
		128	+ "sources": [
		129	+ {
		130	+ "url": "https://www.trychroma.com/",
		131	+ "type": "official_site",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary"
		135	+ ],
		136	+ "checked_at": "2026-11-02",
		137	+ "title": "Chroma"
		138	+ },
		139	+ {
		140	+ "url": "https://docs.trychroma.com/",
		141	+ "type": "official_docs",
		142	+ "supports": [
		143	+ "capabilities",
		144	+ "interfaces",
		145	+ "languages"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "Chroma Docs"
		149	+ },
		150	+ {
		151	+ "url": "https://github.com/chroma-core/chroma/blob/main/LICENSE",
		152	+ "type": "license_page",
		153	+ "supports": [
		154	+ "license_spdx",
		155	+ "source_model"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "title": "Chroma LICENSE (Apache 2.0)"
		159	+ },
		160	+ {
		161	+ "url": "https://www.trychroma.com/pricing",
		162	+ "type": "pricing_page",
		163	+ "supports": [
		164	+ "pricing_model"
		165	+ ],
		166	+ "checked_at": "2026-11-02",
		167	+ "title": "Chroma Cloud pricing"
		168	+ },
		169	+ {
		170	+ "url": "https://github.com/chroma-core/chroma",
		171	+ "type": "repository",
		172	+ "supports": [
		173	+ "repo_url"
		174	+ ],
		175	+ "checked_at": "2026-11-02",
		176	+ "title": "chroma-core/chroma"
		177	+ }
		178	+ ],
		179	+ "confidence": "high"
		180	+}

added content/tools/claude-code.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "claude-code",
		3	+ "name": "Claude Code",
		4	+ "aliases": ["claude CLI", "Claude Code CLI"],
		5	+ "vendor": { "name": "Anthropic", "slug": "anthropic", "website": "https://www.anthropic.com/" },
		6	+ "homepage_url": "https://claude.com/product/claude-code",
		7	+ "docs_url": "https://code.claude.com/docs/en/overview",
		8	+ "repo_url": "https://github.com/anthropics/claude-code",
		9	+ "pricing_url": "https://claude.com/pricing",
		10	+ "license_url": "https://github.com/anthropics/claude-code/blob/main/LICENSE.md",
		11	+ "product_type": "cli-tool",
		12	+ "product_status": "active",
		13	+ "summary": "Anthropic's agentic coding tool that reads a codebase, edits files and runs commands from the terminal, IDEs, a desktop app, the web and CI, with MCP, hooks, skills and subagents",
		14	+ "description": "Claude Code is Anthropic's agentic coding tool. Given a task in plain language it explores the repository, plans, edits files across the project, runs shell commands and tests, and can commit, open pull requests and interact with git directly. It started as a terminal program and now runs on several surfaces that share one engine and one configuration: the CLI, VS Code and Cursor extensions, a JetBrains plugin, a standalone desktop app for macOS and Windows (Linux in beta), a browser version at claude.ai/code and the Claude mobile apps, plus GitHub Actions, GitLab CI/CD, Slack and Chrome integrations.\n\nCustomization is file-based. A CLAUDE.md (or an existing AGENTS.md) in the repository supplies standing instructions; skills package reusable slash-command workflows; hooks run shell commands before or after tool calls; settings files control permissions; and MCP servers connect external tools and data. Subagents run parts of a task in parallel under a lead agent, background agents run whole sessions side by side, and scheduled tasks run in the cloud or on the desktop. Headless mode (`claude -p`) makes it scriptable in pipelines, and the Agent SDK exposes the same tool loop for building custom agents. Sessions can move between surfaces through Remote Control and `--teleport`.\n\nInstallation is a native installer script, Homebrew, WinGet or Linux package managers; the desktop app bundles the CLI. Use requires a Claude subscription or a Claude Platform (console) account, and the terminal and IDE surfaces also support third-party model providers such as Amazon Bedrock and Google Vertex AI. The published repository holds documentation, issues and examples, but the source is proprietary (all rights reserved under Anthropic's commercial terms), so it cannot be forked or self-hosted. Because the agent executes commands with the user's privileges, permission settings and sandboxing deserve attention before use on sensitive systems.",
		15	+ "capabilities": ["Repository-aware editing across many files with command execution and test runs", "Git integration: commits, branches, pull requests and CI code review", "CLAUDE.md/AGENTS.md instructions, skills, hooks and settings-based permissions", "MCP client for connecting external tools and data sources", "Subagents, background agents and dynamic workflows for parallel work", "Headless mode for scripting and CI, plus the Agent SDK", "Terminal, VS Code, Cursor, JetBrains, desktop, web and mobile surfaces", "Cloud and desktop scheduled tasks, Remote Control and session teleport"],
		16	+ "workflows": ["Describe a feature and let the agent implement, test and commit it", "Run `claude -p` in CI to review diffs or triage issues", "Connect project databases and ticket systems through MCP servers", "Hand a long task to the web or cloud session and pull it back into the terminal later"],
		17	+ "advantages": ["Same configuration works across every surface", "Deep customization through files kept in the repository", "Works with Anthropic's cloud or with Bedrock and Vertex AI accounts", "Composable with Unix pipes and existing automation"],
		18	+ "limitations": ["Proprietary; the GitHub repository is for docs and issues, not source", "Requires a paid subscription or API account; usage limits apply", "Executes commands with user privileges, so permissions must be configured carefully", "Desktop app on Linux is still in beta"],
		19	+ "prerequisites": ["Claude subscription or Claude Platform account (or Bedrock/Vertex credentials)", "macOS, Linux, WSL or Windows; Git recommended"],
		20	+ "audiences": ["Software developers and maintainers", "Teams automating code review and issue triage in CI", "Developers building custom agents with the Agent SDK"],
		21	+ "alternatives": ["openai-codex", "cursor", "github", "zed"],
		22	+ "comparison_notes": "OpenAI Codex is the closest counterpart: also a terminal-first agent with IDE extension, desktop and cloud surfaces, but its CLI is open source (Apache-2.0) and it authenticates with a ChatGPT plan. Cursor and Zed are AI-native editors rather than headless agents, and GitHub Copilot's coding agent lives inside GitHub. Claude Code's distinguishing traits are its file-based customization (CLAUDE.md, skills, hooks), subagent orchestration and its multi-surface session hand-off.",
		23	+ "categories": [{ "slug": "coding-agents", "primary": true }, { "slug": "agent-frameworks", "label": "Agent SDK" }],
		24	+ "tags": ["agents", "cli", "llm", "mcp", "ide-extension", "ci", "macos"],
		25	+ "use_cases": ["write-code-with-ai", "build-agents"],
		26	+ "operating_systems": ["macos", "linux", "windows", "web", "ios", "android"],
		27	+ "execution_modes": ["local", "cloud"],
		28	+ "interfaces": ["cli", "ide-extension", "desktop", "web", "mobile", "sdk"],
		29	+ "deployment_models": ["desktop", "saas"],
		30	+ "integrations": ["VS Code", "Cursor", "JetBrains IDEs", "GitHub Actions", "GitLab CI/CD", "Slack", "Chrome", "Amazon Bedrock", "Google Vertex AI", "Model Context Protocol"],
		31	+ "data_formats": ["Markdown (CLAUDE.md, skills)", "JSON (settings, MCP config)"],
		32	+ "languages": ["Any programming language (agent)", "TypeScript and Python (Agent SDK)"],
		33	+ "source_model": "proprietary",
		34	+ "pricing_model": ["paid", "usage-based", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": false,
		37	+ "sources": [
		38	+ { "url": "https://code.claude.com/docs/en/overview", "type": "official_docs", "title": "Claude Code overview", "supports": ["capabilities", "interfaces", "operating_systems", "integrations", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://claude.com/product/claude-code", "type": "official_site", "title": "Claude Code product page", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/anthropics/claude-code/blob/main/LICENSE.md", "type": "license_page", "supports": ["source_model"], "checked_at": "2026-11-02", "note": "All rights reserved; use governed by Anthropic's Commercial Terms of Service" },
		41	+ { "url": "https://claude.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "deep",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": true,
		49	+ "author": "batch-A"
		50	+}

added content/tools/claude-developer-platform.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "claude-developer-platform",
		3	+ "name": "Claude Platform",
		4	+ "aliases": ["Claude Developer Platform", "Anthropic API", "Claude API", "Claude Console", "Anthropic Console"],
		5	+ "vendor": { "name": "Anthropic", "slug": "anthropic", "website": "https://www.anthropic.com/" },
		6	+ "homepage_url": "https://platform.claude.com/",
		7	+ "docs_url": "https://platform.claude.com/docs/en/home",
		8	+ "repo_url": "https://github.com/anthropics/anthropic-sdk-python",
		9	+ "pricing_url": "https://platform.claude.com/docs/en/about-claude/pricing",
		10	+ "privacy_url": "https://www.anthropic.com/legal/privacy",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Anthropic's developer platform for the Claude models: Messages API, tool use, structured outputs, prompt caching, batch processing and Managed Agents, plus cloud availability",
		14	+ "description": "The Claude Platform is Anthropic's hosted API and console for building with the Claude model family. It was previously documented at docs.anthropic.com and docs.claude.com; both now redirect to platform.claude.com, where the console (API keys, workspaces, usage analytics, playground) and the documentation live together. The platform is cloud-only and usage-billed, and the same models are also sold through Amazon Bedrock, Google Cloud and Microsoft Foundry for teams that prefer to buy through an existing cloud account.\n\nThe core surface is the Messages API: the caller supplies the conversation, and Claude returns text, tool calls or structured JSON. Around it sit extended thinking, vision input, tool use with server-side tools (web search, code execution), structured outputs, prompt caching to reduce the cost of repeated context, streaming, batch processing for asynchronous workloads, the Files API and usage and cost analytics endpoints. A second surface, Managed Agents (beta), runs long-lived agents in stateful sessions with persistent event history, tool permission policies and orchestration handled by Anthropic rather than the caller. Official client libraries cover Python, TypeScript, Go, Java, Ruby, PHP and C#, and a command-line client (`ant`) is documented alongside them. Claude Code and the Agent SDK build on this platform but are documented separately.\n\nTypical users are application teams adding assistant, extraction or agent features, and research groups running large batch jobs. Limits are the usual ones for a proprietary hosted API: there is no self-hosted option, model versions are retired on a published schedule, rate limits are tiered by spend, and data handling follows Anthropic's commercial terms rather than the consumer privacy policy.",
		15	+ "capabilities": ["Messages API with streaming, vision input and extended thinking", "Tool use including server-side web search and code execution tools", "Structured outputs validated against a JSON schema", "Prompt caching and batch processing for cost control", "Managed Agents (beta) with stateful sessions and permission policies", "Workspaces, API keys and usage/cost analytics in the console", "Client SDKs for Python, TypeScript, Go, Java, Ruby, PHP and C#, plus a CLI", "Availability through Amazon Bedrock, Google Cloud and Microsoft Foundry"],
		16	+ "workflows": ["Prototype a prompt in the console playground, then call it from an SDK", "Build an agent loop with tool use and structured outputs", "Run nightly document-extraction jobs through the Batch API with cached system prompts", "Deploy a long-running agent with Managed Agents instead of hosting the loop yourself"],
		17	+ "advantages": ["One documentation and console site after the 2025–2026 consolidation", "Same models purchasable through three major clouds", "Prompt caching and batch tiers make large workloads cheaper to operate", "Broad official SDK coverage"],
		18	+ "limitations": ["Cloud-only; no on-premises deployment", "Model deprecation schedule requires periodic migration", "Rate limits scale with spend tier and may constrain new accounts", "Managed Agents is in beta and subject to change"],
		19	+ "prerequisites": ["Anthropic console account with billing or a cloud marketplace subscription", "An HTTP client or one of the official SDKs"],
		20	+ "audiences": ["Application developers integrating Claude", "Agent and automation builders", "Researchers running large batch analyses"],
		21	+ "alternatives": ["openai-platform", "gemini-api", "mistral-ai", "openrouter"],
		22	+ "comparison_notes": "The OpenAI API and Gemini API are the direct counterparts; all three expose chat-style endpoints with tool calling, structured outputs, caching and batch modes, but with different schemas, so a gateway such as LiteLLM or OpenRouter is often used to abstract them. Anthropic's Managed Agents parallels OpenAI's managed Agents API. Unlike Mistral AI, Anthropic does not publish open-weight models, so self-hosting is not an option.",
		23	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "agent-frameworks", "label": "Managed Agents and tool use" }],
		24	+ "tags": ["llm", "api", "agents", "python", "typescript", "structured-outputs"],
		25	+ "use_cases": ["build-agents", "write-code-with-ai", "evaluate-llm-apps"],
		26	+ "operating_systems": ["any"],
		27	+ "execution_modes": ["cloud"],
		28	+ "interfaces": ["api", "sdk", "web", "cli"],
		29	+ "deployment_models": ["saas", "managed-cloud"],
		30	+ "integrations": ["Amazon Bedrock", "Google Cloud Vertex AI", "Microsoft Foundry", "Claude Code", "Model Context Protocol", "LangChain", "LiteLLM"],
		31	+ "data_formats": ["JSON", "JSON Schema (structured outputs)", "JSONL (batches)", "PDF", "Images (PNG, JPEG, GIF, WebP)"],
		32	+ "languages": ["Python", "TypeScript", "Go", "Java", "Ruby", "PHP", "C#"],
		33	+ "source_model": "proprietary",
		34	+ "pricing_model": ["usage-based", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": false,
		37	+ "sources": [
		38	+ { "url": "https://platform.claude.com/docs/en/home", "type": "official_docs", "title": "Claude Platform documentation", "supports": ["name", "capabilities", "languages", "interfaces", "integrations"], "checked_at": "2026-11-02", "note": "docs.claude.com and docs.anthropic.com redirect here" },
		39	+ { "url": "https://claude.com/platform/api", "type": "official_site", "title": "Claude Platform | Claude by Anthropic", "supports": ["name", "summary", "deployment_models"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://platform.claude.com/docs/en/about-claude/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/anthropics/anthropic-sdk-python", "type": "repository", "title": "anthropic-sdk-python (Apache-2.0)", "supports": ["languages"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "uncertainty_note": "Anthropic's own pages call the product \"Claude Platform\"; \"Claude Developer Platform\" is kept as an alias because it was used in earlier documentation and in this encyclopedia's slug.",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-A"
		51	+}

added content/tools/claude.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "claude",
		3	+ "name": "Claude",
		4	+ "aliases": ["Claude.ai", "Claude app", "Claude desktop"],
		5	+ "vendor": { "name": "Anthropic", "slug": "anthropic", "website": "https://www.anthropic.com/" },
		6	+ "homepage_url": "https://claude.com/product/overview",
		7	+ "docs_url": "https://claude.com/product/overview",
		8	+ "pricing_url": "https://claude.com/pricing",
		9	+ "privacy_url": "https://www.anthropic.com/legal/privacy",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Anthropic's consumer and team assistant on web, desktop and mobile, with projects, artifacts, memory, connectors and web search, sold on Pro, Max, Team and Enterprise plans",
		13	+ "description": "Claude is Anthropic's end-user assistant, available at claude.ai in the browser, as desktop apps for macOS and Windows (including Windows on ARM) and as iOS and Android apps. The desktop apps can reach local folders and applications, which the web and mobile clients cannot. Core features include projects for grouping files and instructions, artifacts for documents, slides and designs that can be edited in place, persistent memory across conversations, custom instructions, web search, skills and plugins for repeatable tasks, scheduled and parallel tasks, voice, and connectors to external apps through the Model Context Protocol. Coding is delegated to Claude Code, a separate product reachable from the same account and desktop app.\n\nPlans run from a free tier through Pro, Max, Ultra, Team and Enterprise, differing in usage limits, model access and administration. Related offerings include Claude in Chrome, Claude for Microsoft 365 and Google Workspace, and Claude Tag for Slack. Under Anthropic's consumer privacy policy, conversations may be used to train models unless the user opts out in account settings, so teams with confidentiality requirements usually choose the Team or Enterprise tiers, which fall under separate commercial terms.",
		14	+ "capabilities": ["Chat assistant on web, macOS, Windows, iOS and Android", "Projects, artifacts, memory and custom instructions", "Web search, voice and scheduled or parallel tasks", "Connectors and interactive apps through the Model Context Protocol", "Skills, plugins and browser or computer use (beta)", "Team and Enterprise administration"],
		15	+ "workflows": ["Draft and iterate on a document or slide deck as an artifact", "Attach reference files to a project and query them over weeks", "Connect Google Drive or Slack through connectors and act on their content"],
		16	+ "advantages": ["Desktop app with local file and application access", "Projects and memory keep long-running context organized", "Same account carries over to Claude Code"],
		17	+ "limitations": ["Hosted service only", "Consumer plans allow training on conversations unless opted out", "Usage limits vary by plan and can interrupt heavy sessions"],
		18	+ "prerequisites": ["Anthropic account; paid plan for higher limits and desktop features"],
		19	+ "audiences": ["Knowledge workers and writers", "Students and researchers", "Teams needing a shared assistant with admin controls"],
		20	+ "alternatives": ["chatgpt", "gemini"],
		21	+ "categories": [{ "slug": "ai-assistants", "primary": true }],
		22	+ "tags": ["llm", "assistant", "desktop", "mobile", "mcp"],
		23	+ "use_cases": ["collaborate", "manage-notes", "write-papers"],
		24	+ "operating_systems": ["web", "macos", "windows", "ios", "android"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "desktop", "mobile", "browser-extension"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Claude Code", "Model Context Protocol", "Google Workspace", "Microsoft 365", "Slack", "Chrome"],
		29	+ "data_formats": ["PDF", "DOCX", "XLSX", "PPTX", "Images"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "privacy_posture": "Anthropic's privacy policy states that consumer inputs and outputs may be used to train and improve models unless the user opts out in account settings; conversations flagged for safety review or reported by the user may still be retained. Business offerings such as Enterprise fall under separate customer agreements.",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://claude.com/product/overview", "type": "official_site", "title": "Claude product overview", "supports": ["name", "capabilities", "operating_systems", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://claude.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://www.anthropic.com/legal/privacy", "type": "policy_page", "title": "Anthropic Privacy Policy", "supports": ["privacy_posture"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "claude.ai itself returns 403 to automated clients; the product overview on claude.com was used as the canonical homepage.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/clickhouse.json +215 −0

				@@ -0,0 +1,215 @@
		1	+{
		2	+ "aliases": [
		3	+ "chDB",
		4	+ "clickhouse-local"
		5	+ ],
		6	+ "workflows": [
		7	+ "Store and aggregate tick or minute-bar data across years",
		8	+ "Log and trace analytics behind Grafana dashboards",
		9	+ "Query Parquet files on S3 directly with table functions",
		10	+ "Serve product analytics dashboards from Metabase or Superset"
		11	+ ],
		12	+ "advantages": [
		13	+ "Very fast analytical scans on a single node",
		14	+ "Apache 2.0 and self-hostable",
		15	+ "Broad format and external-source support",
		16	+ "Managed cloud option"
		17	+ ],
		18	+ "limitations": [
		19	+ "Updates and deletes are asynchronous mutations",
		20	+ "No OLTP-style transactions",
		21	+ "Large joins are memory-intensive",
		22	+ "Dialect differences from standard PostgreSQL SQL"
		23	+ ],
		24	+ "prerequisites": [
		25	+ "A Linux server, Docker or macOS binary, or a ClickHouse Cloud account"
		26	+ ],
		27	+ "audiences": [
		28	+ "Data engineers",
		29	+ "Observability and product-analytics teams",
		30	+ "Quantitative researchers with large time series"
		31	+ ],
		32	+ "alternatives": [
		33	+ "duckdb",
		34	+ "apache-spark",
		35	+ "trino",
		36	+ "timescaledb",
		37	+ "elasticsearch",
		38	+ "postgresql"
		39	+ ],
		40	+ "tags": [
		41	+ "olap",
		42	+ "columnar",
		43	+ "sql",
		44	+ "time-series",
		45	+ "parquet",
		46	+ "open-source",
		47	+ "self-hosted",
		48	+ "monitoring"
		49	+ ],
		50	+ "use_cases": [
		51	+ "analyze-intraday-data",
		52	+ "query-parquet-files",
		53	+ "monitor-services"
		54	+ ],
		55	+ "operating_systems": [
		56	+ "linux",
		57	+ "macos"
		58	+ ],
		59	+ "deployment_models": [
		60	+ "on-premises",
		61	+ "managed-cloud",
		62	+ "embedded"
		63	+ ],
		64	+ "integrations": [
		65	+ "Grafana",
		66	+ "Metabase",
		67	+ "Apache Superset",
		68	+ "Apache Kafka",
		69	+ "dbt",
		70	+ "Amazon S3",
		71	+ "PostgreSQL",
		72	+ "MySQL",
		73	+ "Apache Iceberg"
		74	+ ],
		75	+ "data_formats": [
		76	+ "Parquet",
		77	+ "CSV",
		78	+ "TSV",
		79	+ "JSON",
		80	+ "Arrow",
		81	+ "ORC",
		82	+ "Avro",
		83	+ "Native"
		84	+ ],
		85	+ "languages": [
		86	+ "C++",
		87	+ "SQL",
		88	+ "Python",
		89	+ "Go",
		90	+ "Java",
		91	+ "JavaScript",
		92	+ "Rust",
		93	+ "C#"
		94	+ ],
		95	+ "self_hostable": true,
		96	+ "discovery_method": "editorial-research",
		97	+ "depth": "deep",
		98	+ "editorial_status": "reviewed",
		99	+ "visibility": "public",
		100	+ "featured": false,
		101	+ "author": "batch-D",
		102	+ "slug": "clickhouse",
		103	+ "name": "ClickHouse",
		104	+ "vendor": {
		105	+ "name": "ClickHouse, Inc.",
		106	+ "slug": "clickhouse-inc",
		107	+ "website": "https://clickhouse.com/"
		108	+ },
		109	+ "homepage_url": "https://clickhouse.com/",
		110	+ "docs_url": "https://clickhouse.com/docs",
		111	+ "repo_url": "https://github.com/ClickHouse/ClickHouse",
		112	+ "license_url": "https://github.com/ClickHouse/ClickHouse/blob/master/LICENSE",
		113	+ "pricing_url": "https://clickhouse.com/pricing",
		114	+ "pricing_checked_at": "2026-11-02",
		115	+ "product_type": "database",
		116	+ "product_status": "active",
		117	+ "summary": "Open-source columnar OLAP database server for fast aggregations over billions of rows, with MergeTree storage, SQL and a managed ClickHouse Cloud",
		118	+ "description": "ClickHouse is an open-source column-oriented database management system developed by ClickHouse, Inc. under Apache 2.0, originally built at Yandex for web analytics. Its MergeTree family of table engines stores sorted, compressed column parts with sparse primary indexes and skipping indexes, and the vectorized SQL engine aggregates billions of rows per second on a single server, with distributed tables, replication via ClickHouse Keeper and sharding for clusters. Beyond native tables it queries external data through table functions for S3, HTTP, PostgreSQL, MySQL, Kafka and files in Parquet, CSV, JSON and dozens of other formats, and materialized views transform data on insert. clickhouse-local runs the same engine from the command line over local files, and chDB embeds it in Python, Node, Go and Rust processes.\n\nTypical workloads are event analytics, observability (logs, traces, metrics), time-series and financial tick data, and serving dashboards from Grafana, Metabase or Superset over HTTP or the native protocol with clients in most languages. ClickHouse Cloud is the managed service with separated storage and compute; many teams self-host a single node on Linux or in Docker, including on Apple Silicon.\n\nThe design optimizes append-heavy, read-mostly analytics: updates and deletes run as asynchronous mutations, there are no multi-statement transactions in the OLTP sense, joins of large tables need memory and care, and the SQL dialect has its own functions and behaviors that differ from PostgreSQL. Small point lookups and frequent single-row inserts should be batched or routed elsewhere.",
		119	+ "capabilities": [
		120	+ "Columnar MergeTree storage with compression and sparse indexes",
		121	+ "Vectorized SQL execution with parallel aggregation",
		122	+ "Replication and sharding via ClickHouse Keeper and distributed tables",
		123	+ "Table functions for S3, HTTP, PostgreSQL, MySQL, Kafka and local files",
		124	+ "Materialized views and projections for on-insert transformation",
		125	+ "Reads and writes Parquet, CSV, JSON, Arrow and many other formats",
		126	+ "clickhouse-local CLI and chDB embedded engine",
		127	+ "HTTP and native protocol clients for Python, Go, Java, JavaScript, Rust and more"
		128	+ ],
		129	+ "comparison_notes": "DuckDB offers a similar columnar, vectorized engine but in-process and single-user, whereas ClickHouse is a networked server with replication and sharding. Spark and Trino are distributed query engines over external storage rather than storage engines themselves. TimescaleDB keeps time-series data inside PostgreSQL with full transactions at lower scan speed. Elasticsearch addresses log analytics through inverted indexes and a JSON DSL instead of columnar SQL.",
		130	+ "categories": [
		131	+ {
		132	+ "slug": "analytics-engines",
		133	+ "primary": true
		134	+ },
		135	+ {
		136	+ "slug": "relational-databases"
		137	+ },
		138	+ {
		139	+ "slug": "hf-finance-research",
		140	+ "label": "Server-side store for large tick archives"
		141	+ }
		142	+ ],
		143	+ "execution_modes": [
		144	+ "self-hosted",
		145	+ "cloud",
		146	+ "local"
		147	+ ],
		148	+ "interfaces": [
		149	+ "cli",
		150	+ "api",
		151	+ "library",
		152	+ "sdk"
		153	+ ],
		154	+ "source_model": "open-source",
		155	+ "license_spdx": "Apache-2.0",
		156	+ "pricing_model": [
		157	+ "open-source",
		158	+ "free",
		159	+ "usage-based",
		160	+ "enterprise"
		161	+ ],
		162	+ "sources": [
		163	+ {
		164	+ "url": "https://clickhouse.com/",
		165	+ "type": "official_site",
		166	+ "supports": [
		167	+ "name",
		168	+ "summary",
		169	+ "vendor"
		170	+ ],
		171	+ "checked_at": "2026-11-02",
		172	+ "title": "ClickHouse"
		173	+ },
		174	+ {
		175	+ "url": "https://clickhouse.com/docs",
		176	+ "type": "official_docs",
		177	+ "supports": [
		178	+ "capabilities",
		179	+ "data_formats",
		180	+ "languages"
		181	+ ],
		182	+ "checked_at": "2026-11-02",
		183	+ "title": "ClickHouse Docs"
		184	+ },
		185	+ {
		186	+ "url": "https://github.com/ClickHouse/ClickHouse/blob/master/LICENSE",
		187	+ "type": "license_page",
		188	+ "supports": [
		189	+ "license_spdx",
		190	+ "source_model"
		191	+ ],
		192	+ "checked_at": "2026-11-02",
		193	+ "title": "ClickHouse LICENSE (Apache 2.0)"
		194	+ },
		195	+ {
		196	+ "url": "https://clickhouse.com/pricing",
		197	+ "type": "pricing_page",
		198	+ "supports": [
		199	+ "pricing_model"
		200	+ ],
		201	+ "checked_at": "2026-11-02",
		202	+ "title": "ClickHouse Cloud pricing"
		203	+ },
		204	+ {
		205	+ "url": "https://github.com/ClickHouse/ClickHouse",
		206	+ "type": "repository",
		207	+ "supports": [
		208	+ "repo_url"
		209	+ ],
		210	+ "checked_at": "2026-11-02",
		211	+ "title": "ClickHouse/ClickHouse"
		212	+ }
		213	+ ],
		214	+ "confidence": "high"
		215	+}

added content/tools/cliclick.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "cliclick",
		3	+ "name": "cliclick",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Carsten Blüm (BlueM)", "slug": "bluem", "website": "https://www.bluem.net/" },
		6	+ "homepage_url": "https://github.com/BlueM/cliclick",
		7	+ "docs_url": "https://github.com/BlueM/cliclick",
		8	+ "repo_url": "https://github.com/BlueM/cliclick",
		9	+ "license_url": "https://github.com/BlueM/cliclick/blob/master/LICENSE",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "maintenance",
		12	+ "summary": "Small open-source macOS command-line tool that emulates mouse clicks, drags, movements, key presses and typing for scripted GUI control",
		13	+ "description": "cliclick (\"command-line interface click\") is a single-binary macOS utility written in Objective-C by Carsten Blüm that lets shell scripts drive the graphical interface. A command such as `cliclick c:400,300` clicks at screen coordinates; other commands double-, triple- or right-click, move the pointer absolutely or relatively, start and end drags, press named keys, hold modifiers, type text into the frontmost application, wait, and print the pointer position or the pixel color at a point.\n\nIt is typically installed with Homebrew and requires macOS 10.15 or later plus Accessibility permission for the terminal that runs it. Its niche is thin but real: remote-controlling a Mac over SSH, scripting installers or kiosk setups, and exercising applications that expose neither an API nor a scripting dictionary. Compared with Hammerspoon or Keyboard Maestro it has no event triggers or logic of its own; it is a primitive meant to be called from other scripts.\n\nThe project is released under a BSD-style license. Development is slow (occasional commits and releases), the tool cannot act on the login window before a session is open, and coordinate-based clicking breaks whenever window positions change.",
		14	+ "capabilities": ["Mouse clicks, double/triple/right clicks and drags at coordinates", "Pointer movement, absolute or relative", "Key presses and modifier holds", "Typing text into the frontmost app", "Querying pointer position and pixel color"],
		15	+ "workflows": ["Automate a GUI installer over SSH", "Click through an app that has no scripting interface", "Combine with AppleScript or shell loops for repetitive clicking"],
		16	+ "advantages": ["Tiny dependency-free binary", "Trivially callable from any script", "Open source"],
		17	+ "limitations": ["Coordinate-based; fragile when layouts change", "No triggers or logic; needs an outer script", "Cannot operate before a user session is open", "Slow release cadence"],
		18	+ "prerequisites": ["macOS 10.15 or later", "Accessibility permission for the calling terminal"],
		19	+ "audiences": ["Administrators scripting Macs remotely", "Developers automating GUI-only tools"],
		20	+ "alternatives": ["hammerspoon", "applescript", "keyboard-maestro"],
		21	+ "categories": [{ "slug": "macos-automation", "primary": true }],
		22	+ "tags": ["macos", "cli", "automation", "gui-automation", "open-source"],
		23	+ "use_cases": ["automate-desktop-tasks"],
		24	+ "operating_systems": ["macos"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["cli"],
		27	+ "deployment_models": ["desktop"],
		28	+ "integrations": ["Homebrew", "AppleScript", "Shell scripts"],
		29	+ "data_formats": [],
		30	+ "languages": ["Objective-C"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "BSD-3-Clause",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://github.com/BlueM/cliclick", "type": "official_site", "title": "BlueM/cliclick README", "supports": ["name", "summary", "capabilities", "prerequisites", "limitations"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/BlueM/cliclick/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		38	+ ],
		39	+ "confidence": "medium",
		40	+ "uncertainty_note": "The author's project page on bluem.net now redirects to the site root, so the GitHub repository is treated as the canonical home. The license text is a three-clause BSD variant; GitHub does not auto-detect it.",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/cloudflare-tunnel.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "cloudflare-tunnel",
		3	+ "name": "Cloudflare Tunnel",
		4	+ "aliases": ["cloudflared", "Argo Tunnel"],
		5	+ "vendor": { "name": "Cloudflare, Inc.", "slug": "cloudflare-inc", "website": "https://www.cloudflare.com" },
		6	+ "homepage_url": "https://developers.cloudflare.com/cloudflare-one/networks/connectors/cloudflare-tunnel/",
		7	+ "docs_url": "https://developers.cloudflare.com/cloudflare-one/",
		8	+ "repo_url": "https://github.com/cloudflare/cloudflared",
		9	+ "pricing_url": "https://www.cloudflare.com/plans/",
		10	+ "license_url": "https://github.com/cloudflare/cloudflared/blob/master/LICENSE",
		11	+ "product_type": "service",
		12	+ "product_status": "active",
		13	+ "summary": "Outbound-only connector (cloudflared) that publishes local web services and private networks through Cloudflare's edge without opening inbound ports",
		14	+ "description": "Cloudflare Tunnel is the connector component of Cloudflare One, formerly sold as Argo Tunnel. A daemon called cloudflared, open source under Apache-2.0, runs next to the service to be published and opens persistent outbound connections to several Cloudflare data centers. Requests for a hostname in a Cloudflare-managed DNS zone are routed through those connections to the local origin, so the server needs no public IP address, port forwarding or certificate of its own: TLS terminates at Cloudflare's edge and the hop to the origin is carried inside the tunnel.\n\nA named tunnel is created once, receives a UUID and credentials, and can carry many hostnames through an ingress list that maps each to a local URL; the same tunnel can also expose private IP ranges to users running the WARP client, which turns it into a Zero Trust replacement for a VPN. Cloudflare Access policies can sit in front of any published hostname to require identity-provider login. Quick tunnels provide a random trycloudflare.com URL for one-off sharing without an account. cloudflared runs as a service on Linux, macOS and Windows and as a container.\n\nIt is the usual way to publish services from a home network, a laptop or machines behind carrier-grade NAT, and is widely used alongside self-hosted dashboards and APIs. Constraints: the domain must use Cloudflare DNS, all public traffic transits Cloudflare and is decrypted there, non-HTTP protocols require WARP or `cloudflared access` on the client side, and the free tier is subject to Cloudflare's terms for non-HTML content and usage.",
		15	+ "capabilities": ["Publish local HTTP services under a Cloudflare-managed hostname with no inbound ports", "Named tunnels with ingress rules mapping many hostnames to local origins", "Private network routing to WARP clients for VPN-style access", "Cloudflare Access policies in front of published applications", "Quick tunnels with a temporary public URL for ad hoc sharing", "Runs as a system service, container or Kubernetes deployment"],
		16	+ "workflows": ["Expose a self-hosted web app from a home server or Mac mini", "Protect an internal dashboard behind single sign-on with Access", "Give remote staff access to a private subnet through WARP", "Share a local development server temporarily"],
		17	+ "advantages": ["No open firewall ports, static IP or certificate management on the origin", "Open-source connector with multi-region redundancy", "Integrates with Cloudflare's WAF, caching and Zero Trust policies", "Usable at no cost for typical personal deployments"],
		18	+ "limitations": ["Requires the domain's DNS to be hosted at Cloudflare", "TLS is terminated at Cloudflare; traffic is visible to the provider", "Non-HTTP protocols need client-side software (WARP or cloudflared access)", "Subject to Cloudflare terms and plan limits"],
		19	+ "prerequisites": ["Cloudflare account with a domain on Cloudflare DNS", "cloudflared installed on a host that can reach the service"],
		20	+ "audiences": ["Self-hosters and homelab operators", "Teams replacing a VPN with Zero Trust access", "Developers sharing local services"],
		21	+ "alternatives": ["ngrok", "tailscale", "wireguard", "caddy"],
		22	+ "comparison_notes": "ngrok offers the same outbound model as a standalone product with its own domains and a closed-source agent; Cloudflare Tunnel is tied to a Cloudflare DNS zone but the connector is open source. Tailscale builds a private mesh first and exposes services publicly only through Funnel. A self-managed WireGuard link to a VPS running Caddy reproduces the architecture under the operator's control, keeping TLS termination out of a third party's hands at the cost of running the gateway.",
		23	+ "categories": [{ "slug": "tunneling-remote-access", "primary": true }],
		24	+ "tags": ["tunnel", "zero-trust", "reverse-proxy", "open-source", "cli", "cloudflare"],
		25	+ "use_cases": ["expose-local-services", "host-web-apps", "access-remote-machines"],
		26	+ "operating_systems": ["linux", "macos", "windows"],
		27	+ "execution_modes": ["cloud", "local"],
		28	+ "interfaces": ["cli", "web", "api"],
		29	+ "deployment_models": ["saas", "hybrid"],
		30	+ "integrations": ["Cloudflare DNS", "Cloudflare Access", "WARP", "Docker", "Kubernetes", "Terraform"],
		31	+ "data_formats": ["YAML tunnel configuration", "JSON credentials"],
		32	+ "languages": ["Go"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "Apache-2.0",
		35	+ "pricing_model": ["freemium", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": false,
		38	+ "sources": [
		39	+ { "url": "https://developers.cloudflare.com/cloudflare-one/networks/connectors/cloudflare-tunnel/", "type": "official_docs", "title": "Cloudflare Tunnel · Cloudflare One docs", "supports": ["name", "summary", "capabilities", "description"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://www.cloudflare.com/", "type": "official_site", "title": "Cloudflare", "supports": ["vendor"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/cloudflare/cloudflared/blob/master/LICENSE", "type": "license_page", "title": "cloudflared LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://www.cloudflare.com/plans/", "type": "pricing_page", "title": "Cloudflare Plans", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "uncertainty_note": "license_spdx covers the cloudflared connector; the edge service is proprietary.",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "deep",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": false,
		51	+ "author": "batch-B2"
		52	+}

added content/tools/cloudflare.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "cloudflare",
		3	+ "name": "Cloudflare",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Cloudflare, Inc.", "slug": "cloudflare-inc", "website": "https://www.cloudflare.com" },
		6	+ "homepage_url": "https://www.cloudflare.com/",
		7	+ "docs_url": "https://developers.cloudflare.com/",
		8	+ "pricing_url": "https://www.cloudflare.com/plans/",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Global network offering authoritative DNS, CDN and reverse-proxy security, a domain registrar, Zero Trust access and the Workers serverless platform",
		12	+ "description": "Cloudflare is a hosted network platform operated by Cloudflare, Inc. Sites place their DNS with Cloudflare and optionally proxy traffic through its edge, which provides caching, TLS, DDoS mitigation, a web application firewall and bot management in front of any origin. The same account gives access to a domain registrar, the Workers serverless runtime with KV, D1, R2 object storage and Pages static hosting, and the Cloudflare One suite (Access, Gateway, WARP and Cloudflare Tunnel) for Zero Trust connectivity.\n\nIt is often the first layer in a self-hosted stack: DNS records, origin protection and a tunnel from a home or office server can all be configured in one dashboard or through a documented REST API and Terraform provider. Plans range from a free tier for personal sites to enterprise contracts.\n\nThe trade-off is concentration: proxied traffic is decrypted at Cloudflare's edge, some features require moving DNS to Cloudflare, and the platform's breadth means many proprietary APIs with no self-hosted equivalent.",
		13	+ "capabilities": ["Authoritative DNS with API and DNSSEC", "CDN caching, TLS and reverse-proxy protection (WAF, DDoS, bot management)", "Domain registration", "Workers serverless runtime with KV, D1, R2 and Pages", "Zero Trust access, secure web gateway and Cloudflare Tunnel", "REST API and Terraform provider"],
		14	+ "workflows": ["Host DNS and protect an origin server behind the proxy", "Publish a static site or Worker without managing servers", "Secure access to internal apps with Access policies"],
		15	+ "advantages": ["Many services under one account and API", "Free tier suitable for personal and small sites", "Large anycast network"],
		16	+ "limitations": ["Proxy mode terminates TLS at Cloudflare's edge", "Proprietary services create lock-in", "Some features require Cloudflare-hosted DNS"],
		17	+ "prerequisites": ["A domain whose nameservers can be delegated to Cloudflare (for most features)"],
		18	+ "audiences": ["Web developers and self-hosters", "Security and network teams", "Serverless application developers"],
		19	+ "alternatives": ["aws", "vercel", "godaddy"],
		20	+ "comparison_notes": "AWS covers DNS (Route 53), CDN (CloudFront) and edge functions as separate services with usage-based billing; Cloudflare bundles them around a proxied domain. Vercel focuses on front-end hosting rather than network security. GoDaddy overlaps on registrar and DNS only.",
		21	+ "categories": [{ "slug": "dns-domains", "primary": true }, { "slug": "cloud-hosting" }, { "slug": "security-tools" }],
		22	+ "tags": ["dns", "cdn", "registrar", "serverless", "zero-trust", "api", "waf"],
		23	+ "use_cases": ["host-web-apps", "expose-local-services", "manage-dns"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "cli"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Terraform", "cloudflared", "GitHub", "Workers", "R2"],
		29	+ "data_formats": ["DNS zone file", "JSON"],
		30	+ "languages": ["JavaScript", "TypeScript", "Rust", "Python"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "paid", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://www.cloudflare.com/", "type": "official_site", "title": "Cloudflare", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://developers.cloudflare.com/", "type": "official_docs", "title": "Cloudflare Docs", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.cloudflare.com/plans/", "type": "pricing_page", "title": "Cloudflare Plans", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/cohere.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "cohere",
		3	+ "name": "Cohere",
		4	+ "aliases": ["Cohere Platform", "Command models", "Cohere Embed", "Cohere Rerank"],
		5	+ "vendor": { "name": "Cohere Inc.", "slug": "cohere-inc", "website": "https://cohere.com" },
		6	+ "homepage_url": "https://cohere.com/",
		7	+ "docs_url": "https://docs.cohere.com/",
		8	+ "repo_url": "https://github.com/cohere-ai/cohere-python",
		9	+ "pricing_url": "https://cohere.com/pricing",
		10	+ "privacy_url": "https://cohere.com/privacy",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Enterprise-focused model provider with Command generation, Embed and Rerank retrieval models, Aya multilingual research models, the North agent platform and private or dedicated deployment options",
		14	+ "description": "Cohere is a Toronto-based model provider oriented toward enterprise deployments. Its model lineup comprises Command for generation and agents, Embed for semantic representations, Rerank for retrieval reordering, Transcribe for speech, Parse for documents, a translation model and the Aya family from its multilingual research program. The v2 API exposes chat, embed and rerank endpoints with SDKs in several languages, and documentation is also served as Markdown and through an MCP server for coding assistants.\n\nWhat distinguishes Cohere is the deployment menu: a hosted API with trial keys for evaluation and pay-as-you-go production keys, Model Vault for dedicated isolated inference priced per instance, and Private Deployments on-premises or in a customer's VPC, alongside availability on major clouds. North is its agentic platform for knowledge work that customers can deploy themselves, and Compass covers enterprise search. Target sectors are finance, public sector, telecom and healthcare. For individual developers Cohere's Embed and Rerank models are the most commonly used pieces; its generation models compete with larger labs mainly on deployment flexibility and data-residency control rather than on consumer reach.",
		15	+ "capabilities": ["Command generation models with tool use", "Embed models for text and multimodal retrieval", "Rerank models for relevance reordering", "Transcribe, Parse and translation models", "Hosted API, Model Vault dedicated inference and private on-prem or VPC deployment", "North agent platform and Compass search"],
		16	+ "workflows": ["Add Rerank to an existing search pipeline", "Deploy models privately in a regulated environment", "Build an internal agent platform with North"],
		17	+ "advantages": ["Strong private and dedicated deployment story", "Mature retrieval models", "Multilingual research lineage (Aya)"],
		18	+ "limitations": ["Trial keys are rate-limited and not for production", "Enterprise products are custom-priced", "Smaller consumer ecosystem than the largest providers"],
		19	+ "prerequisites": ["Cohere account and API key, or an enterprise agreement"],
		20	+ "audiences": ["Enterprises with data-residency requirements", "Teams building retrieval pipelines", "Multilingual NLP researchers"],
		21	+ "alternatives": ["voyage-ai", "openai-platform", "mistral-ai", "claude-developer-platform"],
		22	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "embeddings-vector-search", "label": "Embed and Rerank models" }],
		23	+ "tags": ["llm", "embeddings", "reranking", "api", "enterprise", "python"],
		24	+ "use_cases": ["build-agents"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["cloud", "self-hosted"],
		27	+ "interfaces": ["api", "sdk", "web"],
		28	+ "deployment_models": ["saas", "managed-cloud", "on-premises"],
		29	+ "integrations": ["Amazon Bedrock", "Microsoft Azure", "Oracle Cloud", "LangChain", "LlamaIndex"],
		30	+ "data_formats": ["JSON", "Text", "Images", "Audio", "PDF"],
		31	+ "languages": ["Python", "TypeScript", "Go", "Java"],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://cohere.com/", "type": "official_site", "title": "Cohere", "supports": ["name", "summary", "capabilities", "deployment_models"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.cohere.com/", "type": "official_docs", "title": "Cohere documentation", "supports": ["interfaces"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://cohere.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Trial keys, pay-as-you-go production keys, Model Vault per-instance, enterprise terms" },
		40	+ { "url": "https://github.com/cohere-ai/cohere-python", "type": "repository", "title": "cohere-python (MIT)", "supports": ["languages"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "uncertainty_note": "SDK language list is based on the Python repository and documentation navigation; other official SDKs may exist.",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-A"
		50	+}

added content/tools/comfyui.json +189 −0

				@@ -0,0 +1,189 @@
		1	+{
		2	+ "slug": "comfyui",
		3	+ "name": "ComfyUI",
		4	+ "aliases": [
		5	+ "Comfy",
		6	+ "Comfy Desktop",
		7	+ "Comfy Org"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Comfy Org",
		11	+ "slug": "comfy-org",
		12	+ "website": "https://comfy.org"
		13	+ },
		14	+ "homepage_url": "https://comfy.org/",
		15	+ "docs_url": "https://docs.comfy.org/",
		16	+ "repo_url": "https://github.com/Comfy-Org/ComfyUI",
		17	+ "license_url": "https://github.com/Comfy-Org/ComfyUI/blob/master/LICENSE",
		18	+ "product_type": "application",
		19	+ "product_status": "active",
		20	+ "summary": "Open-source node-based interface and inference engine for diffusion and other generative models (image, video, audio, 3D), runnable locally with desktop apps or as a hosted cloud",
		21	+ "description": "ComfyUI is a GPL-3.0 node-based application and backend for generative media. Users build workflows by wiring nodes (model loaders, samplers, conditioning, upscalers, custom operations) on a canvas, and the engine executes the graph on local hardware; the same graph is a JSON file that can be shared, versioned or called through an API. It supports image, video, audio and 3D generation across many open-weight model families, with a registry for community custom nodes. The repository moved from the original author's account to the Comfy-Org organization, which now maintains the project.\n\nComfy Org distributes Comfy Desktop for Windows, macOS and Linux alongside manual and portable installs, and offers Comfy Cloud for GPU execution without local hardware, Partner Nodes and Comfy Router for calling third-party commercial models, a Developer Platform that exposes workflows as production APIs and an Enterprise tier. A Comfy Agent builds workflows from text descriptions. ComfyUI is the standard tool for reproducible, fine-grained control over diffusion pipelines; the learning curve is steep, custom nodes vary in quality and security, and local use requires a capable GPU (Apple Silicon works through PyTorch's MPS backend with lower throughput).",
		22	+ "capabilities": [
		23	+ "Node graph editor for generative pipelines",
		24	+ "Image, video, audio and 3D model support",
		25	+ "Workflows as shareable JSON with API execution",
		26	+ "Custom-node registry and Comfy CLI",
		27	+ "Desktop apps for Windows, macOS and Linux",
		28	+ "Comfy Cloud, Partner Nodes, Developer Platform and Enterprise offerings"
		29	+ ],
		30	+ "workflows": [
		31	+ "Build an image-generation pipeline with ControlNet and upscaling",
		32	+ "Export a workflow and run it as an API endpoint",
		33	+ "Run a heavy video model on Comfy Cloud when local VRAM is insufficient"
		34	+ ],
		35	+ "advantages": [
		36	+ "Transparent, reproducible pipelines",
		37	+ "Fast adoption of new open models",
		38	+ "GPL-licensed core with a large community"
		39	+ ],
		40	+ "limitations": [
		41	+ "Steep learning curve",
		42	+ "Custom nodes vary in quality and security",
		43	+ "Demanding GPU requirements for local use"
		44	+ ],
		45	+ "prerequisites": [
		46	+ "GPU with sufficient VRAM (NVIDIA preferred; Apple Silicon supported via MPS)",
		47	+ "Python environment or the desktop installer"
		48	+ ],
		49	+ "audiences": [
		50	+ "Artists and designers using diffusion models",
		51	+ "Researchers prototyping generative pipelines",
		52	+ "Developers productizing workflows as APIs"
		53	+ ],
		54	+ "alternatives": [
		55	+ "mlx",
		56	+ "hugging-face-hub",
		57	+ "gemini-api"
		58	+ ],
		59	+ "categories": [
		60	+ {
		61	+ "slug": "speech-vision-multimodal",
		62	+ "primary": true
		63	+ },
		64	+ {
		65	+ "slug": "local-inference",
		66	+ "label": "Local execution of diffusion models"
		67	+ }
		68	+ ],
		69	+ "tags": [
		70	+ "open-source",
		71	+ "image-generation",
		72	+ "video-generation",
		73	+ "diffusion",
		74	+ "desktop",
		75	+ "python",
		76	+ "self-hosted"
		77	+ ],
		78	+ "use_cases": [
		79	+ "run-local-models"
		80	+ ],
		81	+ "operating_systems": [
		82	+ "windows",
		83	+ "macos",
		84	+ "linux"
		85	+ ],
		86	+ "execution_modes": [
		87	+ "local",
		88	+ "cloud"
		89	+ ],
		90	+ "interfaces": [
		91	+ "desktop",
		92	+ "web",
		93	+ "api",
		94	+ "cli"
		95	+ ],
		96	+ "deployment_models": [
		97	+ "desktop",
		98	+ "saas"
		99	+ ],
		100	+ "integrations": [
		101	+ "PyTorch",
		102	+ "Hugging Face Hub",
		103	+ "Stable Diffusion",
		104	+ "FLUX",
		105	+ "Model Context Protocol (Cloud MCP server)"
		106	+ ],
		107	+ "data_formats": [
		108	+ "Safetensors",
		109	+ "JSON workflows",
		110	+ "PNG",
		111	+ "MP4",
		112	+ "WAV"
		113	+ ],
		114	+ "languages": [
		115	+ "Python",
		116	+ "TypeScript (frontend)"
		117	+ ],
		118	+ "source_model": "mixed",
		119	+ "license_spdx": "GPL-3.0-only",
		120	+ "pricing_model": [
		121	+ "open-source",
		122	+ "free",
		123	+ "freemium",
		124	+ "enterprise"
		125	+ ],
		126	+ "self_hostable": true,
		127	+ "sources": [
		128	+ {
		129	+ "url": "https://comfy.org/",
		130	+ "type": "official_site",
		131	+ "title": "Comfy Org",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary",
		135	+ "capabilities",
		136	+ "pricing_model"
		137	+ ],
		138	+ "checked_at": "2026-11-02"
		139	+ },
		140	+ {
		141	+ "url": "https://docs.comfy.org/",
		142	+ "type": "official_docs",
		143	+ "title": "ComfyUI documentation",
		144	+ "supports": [
		145	+ "capabilities",
		146	+ "operating_systems"
		147	+ ],
		148	+ "checked_at": "2026-11-02"
		149	+ },
		150	+ {
		151	+ "url": "https://github.com/Comfy-Org/ComfyUI",
		152	+ "type": "repository",
		153	+ "supports": [
		154	+ "license_spdx",
		155	+ "languages"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "note": "github.com/comfyanonymous/ComfyUI redirects here"
		159	+ },
		160	+ {
		161	+ "url": "https://github.com/Comfy-Org/ComfyUI/blob/master/LICENSE",
		162	+ "type": "license_page",
		163	+ "supports": [
		164	+ "license_spdx",
		165	+ "source_model"
		166	+ ],
		167	+ "checked_at": "2026-11-02"
		168	+ },
		169	+ {
		170	+ "url": "https://comfy.org/pricing",
		171	+ "type": "pricing_page",
		172	+ "supports": [
		173	+ "pricing_model"
		174	+ ],
		175	+ "checked_at": "2026-11-02",
		176	+ "note": "Comfy Desktop free; Comfy Cloud plans Free (trial), Standard, Creator, Pro, Team, Enterprise"
		177	+ }
		178	+ ],
		179	+ "confidence": "high",
		180	+ "uncertainty_note": "The LICENSE file is GPL-3.0; the SPDX identifier is given as GPL-3.0-only since no 'or later' clause was verified.",
		181	+ "discovery_method": "editorial-research",
		182	+ "depth": "standard",
		183	+ "editorial_status": "reviewed",
		184	+ "visibility": "public",
		185	+ "featured": false,
		186	+ "author": "batch-A",
		187	+ "pricing_url": "https://comfy.org/pricing",
		188	+ "pricing_checked_at": "2026-11-02"
		189	+}

added content/tools/common-crawl.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "common-crawl",
		3	+ "name": "Common Crawl",
		4	+ "aliases": ["CC-MAIN", "Common Crawl Foundation"],
		5	+ "vendor": { "name": "Common Crawl Foundation", "slug": "common-crawl", "website": "https://commoncrawl.org/" },
		6	+ "homepage_url": "https://commoncrawl.org/",
		7	+ "docs_url": "https://commoncrawl.org/get-started",
		8	+ "repo_url": "https://github.com/commoncrawl",
		9	+ "product_type": "data-service",
		10	+ "product_status": "active",
		11	+ "summary": "Nonprofit open repository of petabyte-scale web crawl data since 2008, published as WARC, WAT and WET files on AWS Open Data with URL and columnar indexes",
		12	+ "description": "Common Crawl is a nonprofit foundation (501(c)(3), founded in 2007) that crawls the web and publishes the results as an open corpus. Crawls are released several times a year, each labeled by period (for example CC-MAIN-2026-43), and each contains raw page captures in WARC files, metadata extracts (WAT) and plain-text extracts (WET). The data is hosted free of charge on Amazon Web Services' open data program and mirrored on some academic clouds; users process it in place with cloud tools or download selected segments.\n\nTo find pages, Common Crawl provides a URL index served through a CDX-style API and a columnar index in Parquet that can be queried with engines such as Athena, DuckDB or Spark. The corpus has become a foundational source for training language models and for research in web science, linguistics and information retrieval.\n\nAccess is free, subject to terms of use that place responsibility for third-party content and downstream uses, including AI training, on the user. Practical limits: each crawl is a sample rather than a complete snapshot, boilerplate and spam are abundant, a growing number of sites opt out, and working with the full dataset requires serious storage and compute.",
		13	+ "capabilities": ["Periodic web crawls in WARC, WAT and WET formats", "Free hosting on AWS Open Data", "URL index with CDX-style API", "Columnar Parquet index for SQL querying", "Open-source tooling on GitHub"],
		14	+ "workflows": ["Query the columnar index with DuckDB or Athena to select domains", "Extract text for a language corpus from WET files", "Study link structure or technology adoption across crawls"],
		15	+ "advantages": ["Free and openly licensed access", "Long time series since 2008", "Standard archive formats and indexes"],
		16	+ "limitations": ["Each crawl is a sample, not a full snapshot", "Noisy content requiring heavy filtering", "Large-scale processing costs fall on the user", "Opt-outs reduce coverage over time"],
		17	+ "prerequisites": ["Cloud or local compute able to read WARC/Parquet at scale"],
		18	+ "audiences": ["NLP and web-science researchers", "Data engineers building corpora", "Search and archive practitioners"],
		19	+ "alternatives": ["wayback-machine", "apify", "bright-data"],
		20	+ "categories": [{ "slug": "web-archiving", "primary": true }, { "slug": "open-public-data" }],
		21	+ "tags": ["open-data", "web-archive", "warc", "parquet", "nonprofit", "llm", "research"],
		22	+ "use_cases": ["build-text-corpora", "query-parquet-files"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["api", "web"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Amazon S3 / Athena", "DuckDB", "Apache Spark", "cdx-toolkit"],
		28	+ "data_formats": ["WARC", "WAT", "WET", "CDXJ", "Parquet"],
		29	+ "languages": [],
		30	+ "source_model": "mixed",
		31	+ "pricing_model": ["free"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://commoncrawl.org/", "type": "official_site", "title": "Common Crawl", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02", "note": "Homepage states 501(c)(3) non-profit founded in 2007" },
		35	+ { "url": "https://commoncrawl.org/overview", "type": "official_docs", "title": "Common Crawl – Overview", "supports": ["capabilities", "data_formats", "description"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://commoncrawl.org/get-started", "type": "official_docs", "title": "Get Started", "supports": ["capabilities", "integrations"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://commoncrawl.org/terms-of-use", "type": "policy_page", "title": "Terms of Use", "supports": ["pricing_model", "limitations"], "checked_at": "2026-11-02" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-C"
		46	+}

added content/tools/connected-papers.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "connected-papers",
		3	+ "name": "Connected Papers",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Connected Papers", "slug": "connected-papers", "website": "https://www.connectedpapers.com" },
		6	+ "homepage_url": "https://www.connectedpapers.com/",
		7	+ "pricing_url": "https://www.connectedpapers.com/pricing",
		8	+ "product_type": "application",
		9	+ "product_status": "active",
		10	+ "summary": "Visual literature-exploration tool that builds a similarity graph of papers around a seed paper, with prior and derivative works lists",
		11	+ "description": "Connected Papers is a web application for exploring a research field visually. Given one or more seed papers it generates a graph in which nodes are related papers and proximity reflects similarity, and it lists \"prior works\" that the cluster commonly cites and \"derivative works\" that cite the cluster. Multi-origin graphs, saved papers and graph history are included in every plan.\n\nThe service is run by a small independent team and is sold as a freemium product: the free tier includes all features with a monthly cap on new graphs, while Academic and Business plans (individual or group seats, billed quarterly or annually) remove the cap; an Academic Library plan offers campus-wide access with SSO or IP authentication, and a scholarship program exists for researchers who cannot pay.\n\nIt is a discovery aid rather than a reference manager: graphs are limited to what the underlying bibliographic corpus covers, there is no public API, and exports are per-paper rather than bulk.",
		12	+ "capabilities": ["Similarity graphs around one or several seed papers", "Prior-works and derivative-works lists", "Multi-origin graphs and graph history", "Saved papers across sessions", "Group and campus plans with SSO/IP access"],
		13	+ "workflows": ["Mapping a new field from a handful of known papers", "Finding foundational references missing from a draft"],
		14	+ "advantages": ["Fast visual overview of a topic", "Free tier includes all features"],
		15	+ "limitations": ["Monthly graph cap on the free plan", "No public API or bulk export", "Dependent on an external bibliographic corpus"],
		16	+ "prerequisites": ["Web browser; account for saving graphs"],
		17	+ "audiences": ["Graduate students starting a literature review", "Researchers entering an adjacent field"],
		18	+ "alternatives": ["researchrabbit", "semantic-scholar", "openalex", "scite"],
		19	+ "comparison_notes": "ResearchRabbit offers comparable network exploration with a permanently free tier and collection-based alerts; Semantic Scholar and OpenAlex provide the raw graph data via APIs for users who prefer to build their own views.",
		20	+ "categories": [{ "slug": "academic-discovery", "primary": true }],
		21	+ "tags": ["citations", "visualization", "bibliography"],
		22	+ "use_cases": ["write-papers", "manage-references"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["web"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Semantic Scholar (paper links)", "BibTeX export"],
		28	+ "data_formats": ["BibTeX"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid", "academic"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://www.connectedpapers.com/", "type": "official_site", "title": "Connected Papers | Find and explore academic papers", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://www.connectedpapers.com/pricing", "type": "pricing_page", "title": "Connected Papers pricing", "supports": ["pricing_model", "capabilities", "description"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "The about page could not be rendered by automated fetchers, so the description of the similarity method and data source is deliberately limited.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-E"
		46	+}

added content/tools/consensus.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "consensus",
		3	+ "name": "Consensus",
		4	+ "aliases": ["Consensus AI", "consensus.app"],
		5	+ "vendor": { "name": "Consensus", "slug": "consensus", "website": "https://consensus.app" },
		6	+ "homepage_url": "https://consensus.app/",
		7	+ "pricing_url": "https://consensus.app/pricing/",
		8	+ "product_type": "platform",
		9	+ "product_status": "active",
		10	+ "summary": "AI search engine over peer-reviewed literature that synthesizes answers, shows a Consensus Meter for yes/no questions and summarizes studies",
		11	+ "description": "Consensus is a hosted search engine for scientific literature that answers natural-language questions with synthesized text grounded in peer-reviewed papers. Its distinctive features are the Consensus Meter, which displays the balance of findings for yes/no questions, Study Snapshots that summarize methods and results, Pro Search and Deep Search modes for more thorough synthesis, an \"Ask Paper\" chat for single documents, collections, a citation graph view, and export of references in RIS, BibTeX and CSV.\n\nThe product is free to start with paid individual plans on monthly or annual billing and team, organization and university offerings; the public pages do not name the bibliographic sources it indexes.\n\nBecause answers are generated by language models over abstracts and full texts, the meter and summaries are a triage aid and the underlying papers should still be read before citing.",
		12	+ "capabilities": ["Natural-language search over peer-reviewed papers", "Consensus Meter for yes/no questions", "Study Snapshots summarizing methods and findings", "Pro Search and Deep Search synthesis modes", "Ask Paper chat and collections", "Citation export in RIS, BibTeX and CSV"],
		13	+ "workflows": ["Quick evidence check on a factual question", "Collecting candidate papers before a formal review"],
		14	+ "advantages": ["Free tier to start", "Answers cite the specific studies used"],
		15	+ "limitations": ["Sources of the index are not disclosed publicly", "Generated summaries require verification", "Help centre blocks automated access, limiting documentation review"],
		16	+ "prerequisites": ["Web browser; account for saved collections"],
		17	+ "audiences": ["Students", "Clinicians and practitioners", "Researchers scoping a question"],
		18	+ "alternatives": ["elicit", "scite", "semantic-scholar", "google-scholar"],
		19	+ "comparison_notes": "Elicit emphasizes structured extraction into tables; scite classifies individual citations; Consensus is optimized for direct question answering with an agreement indicator.",
		20	+ "categories": [{ "slug": "academic-discovery", "primary": true }],
		21	+ "tags": ["llm", "rag", "citations"],
		22	+ "use_cases": ["write-papers"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["web"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Zotero (via RIS/BibTeX export)"],
		28	+ "data_formats": ["RIS", "BibTeX", "CSV"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid", "enterprise"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://consensus.app/", "type": "official_site", "title": "Consensus: AI for Research", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://consensus.app/pricing/", "type": "pricing_page", "title": "Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "The pricing page renders plan details client-side; only the individual/team/enterprise structure and monthly/annual billing could be confirmed.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-E"
		46	+}

added content/tools/core-ml.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "core-ml",
		3	+ "name": "Core ML",
		4	+ "aliases": ["CoreML", "coremltools"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/documentation/coreml",
		7	+ "docs_url": "https://apple.github.io/coremltools/docs-guides/",
		8	+ "repo_url": "https://github.com/apple/coremltools",
		9	+ "product_type": "framework",
		10	+ "product_status": "active",
		11	+ "summary": "Apple's on-device machine-learning runtime for iOS and macOS apps, with the open-source coremltools package for converting PyTorch and other models to its format",
		12	+ "description": "Core ML is Apple's framework for running machine-learning models inside apps on iPhone, iPad, Mac, Apple Watch, Apple TV and Vision Pro. A model is packaged in the Core ML format (`.mlmodel` or `.mlpackage`), bundled with the app and executed on the device, where the framework schedules work across CPU, GPU and the Neural Engine. It underlies Apple's higher-level Vision, Natural Language, Speech and Sound Analysis frameworks and supports on-device fine-tuning of updatable models.\n\nModels reach Core ML in two ways: Create ML trains common model types directly, and the open-source Python package coremltools (BSD-3-Clause, maintained by Apple on GitHub) converts models from PyTorch, TensorFlow and other libraries, applying quantization, palettization and pruning to reduce size. Xcode shows a model's inputs, outputs and performance report and generates a typed Swift interface.\n\nCore ML is the deployment route for shipping a model in an Apple app; it is not a training framework and is not available outside Apple platforms. Conversion can fail for operators coremltools does not support, and very large language models are constrained by device memory and conversion effort, which is why MLX is often used for research and Core ML for shipping.",
		13	+ "capabilities": ["On-device inference across CPU, GPU and Neural Engine", "Model conversion from PyTorch and TensorFlow with coremltools", "Quantization, palettization and pruning for compact models", "Typed Swift interfaces generated by Xcode", "On-device updates of updatable models", "Foundation for Vision, Natural Language and Speech frameworks"],
		14	+ "workflows": ["Convert a PyTorch classifier and ship it in an iOS app", "Profile a model's latency per compute unit in Xcode", "Run image analysis offline with Vision on top of Core ML"],
		15	+ "advantages": ["Inference stays on the device; no network or server cost", "Hardware scheduling handled by the system", "Open-source conversion tooling"],
		16	+ "limitations": ["Apple platforms only", "Not a training framework", "Unsupported operators block conversion", "Large models constrained by device memory"],
		17	+ "prerequisites": ["Xcode and an Apple platform target", "Python with coremltools for conversion"],
		18	+ "audiences": ["iOS and macOS developers embedding ML", "ML engineers deploying models to Apple devices"],
		19	+ "alternatives": ["mlx", "pytorch", "llama-cpp", "apple-foundation-models"],
		20	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "local-inference" }],
		21	+ "tags": ["apple-silicon", "macos", "ios", "on-device-ml", "swift", "python", "model-conversion"],
		22	+ "use_cases": ["run-local-models", "serve-models", "build-native-apps"],
		23	+ "operating_systems": ["macos", "ios"],
		24	+ "execution_modes": ["local"],
		25	+ "interfaces": ["sdk", "library"],
		26	+ "deployment_models": ["embedded"],
		27	+ "integrations": ["Xcode", "Create ML", "Vision", "Natural Language", "PyTorch (via coremltools)", "TensorFlow (via coremltools)"],
		28	+ "data_formats": [".mlmodel", ".mlpackage", "ONNX (legacy import)"],
		29	+ "languages": ["Swift", "Objective-C", "Python"],
		30	+ "source_model": "mixed",
		31	+ "license_spdx": "BSD-3-Clause",
		32	+ "pricing_model": ["free"],
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://developer.apple.com/documentation/coreml", "type": "official_site", "title": "Core ML | Apple Developer Documentation", "supports": ["name", "summary", "capabilities", "operating_systems"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://apple.github.io/coremltools/docs-guides/", "type": "official_docs", "title": "Core ML Tools guide", "supports": ["capabilities", "data_formats", "integrations"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/apple/coremltools", "type": "repository", "title": "apple/coremltools", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "license_spdx refers to coremltools; the Core ML framework itself is proprietary" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-C"
		46	+}

added content/tools/craft.json +154 −0

				@@ -0,0 +1,154 @@
		1	+{
		2	+ "slug": "craft",
		3	+ "name": "Craft",
		4	+ "aliases": [
		5	+ "Craft Docs"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Craft Docs Ltd.",
		9	+ "slug": "craft-docs",
		10	+ "website": "https://www.craft.do"
		11	+ },
		12	+ "homepage_url": "https://www.craft.do/",
		13	+ "docs_url": "https://support.craft.do/",
		14	+ "pricing_url": "https://www.craft.do/pricing",
		15	+ "privacy_url": "https://www.craft.do/privacy",
		16	+ "product_type": "application",
		17	+ "product_status": "active",
		18	+ "summary": "Block-based document and notes app with native Apple, Windows and web clients, structured pages, collections and shareable published documents",
		19	+ "description": "Craft is a document and note-taking application from Craft Docs Ltd. that combines a block editor with nested pages, cards and collections (table-like groups of documents) in native apps for macOS, iOS, iPadOS and Windows plus a web client. Documents can be styled with templates and layouts, linked to each other, exported to Markdown, PDF or Word, and published as shareable web pages; shared spaces support team collaboration and comments. Documents sync through Craft's cloud with the option of local-only spaces, and extensions connect to Things, Todoist and other tools. It targets individuals and small teams who want polished documents without Notion's database complexity. Pricing is freemium with Plus, Family, Team and Business plans; databases and automation are lighter than in Notion, and the format is proprietary with export as the path out.",
		20	+ "capabilities": [
		21	+ "Block editor with nested pages and cards",
		22	+ "Collections for structured sets of documents",
		23	+ "Templates, styles and page layouts",
		24	+ "Export to Markdown, PDF and Word; publish to the web",
		25	+ "Shared spaces with comments",
		26	+ "Native apps for Apple platforms and Windows plus web"
		27	+ ],
		28	+ "workflows": [
		29	+ "Write and publish a course handout as a web page",
		30	+ "Keep meeting notes in a shared team space"
		31	+ ],
		32	+ "advantages": [
		33	+ "Polished native apps",
		34	+ "Attractive exports and published pages"
		35	+ ],
		36	+ "limitations": [
		37	+ "Databases and automation lighter than Notion",
		38	+ "Proprietary storage; export needed for portability",
		39	+ "Collaboration features tied to paid plans"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Craft account; app or browser"
		43	+ ],
		44	+ "audiences": [
		45	+ "Writers and educators preparing documents",
		46	+ "Small teams sharing notes"
		47	+ ],
		48	+ "alternatives": [
		49	+ "notion",
		50	+ "obsidian",
		51	+ "bear",
		52	+ "apple-notes"
		53	+ ],
		54	+ "comparison_notes": "Notion offers deeper databases and integrations in a cloud-only model; Obsidian keeps local Markdown with plugins; Bear is Markdown-first and Apple-only. Craft sits between them with structured documents and strong presentation.",
		55	+ "categories": [
		56	+ {
		57	+ "slug": "knowledge-management",
		58	+ "primary": true
		59	+ },
		60	+ {
		61	+ "slug": "productivity-suites"
		62	+ }
		63	+ ],
		64	+ "tags": [
		65	+ "notes",
		66	+ "documents",
		67	+ "macos",
		68	+ "ios",
		69	+ "windows",
		70	+ "collaboration"
		71	+ ],
		72	+ "use_cases": [
		73	+ "manage-notes",
		74	+ "collaborate"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "macos",
		78	+ "ios",
		79	+ "windows",
		80	+ "web"
		81	+ ],
		82	+ "execution_modes": [
		83	+ "local",
		84	+ "cloud"
		85	+ ],
		86	+ "interfaces": [
		87	+ "desktop",
		88	+ "mobile",
		89	+ "web"
		90	+ ],
		91	+ "deployment_models": [
		92	+ "saas",
		93	+ "desktop"
		94	+ ],
		95	+ "integrations": [
		96	+ "Things",
		97	+ "Todoist",
		98	+ "Slack",
		99	+ "Zapier"
		100	+ ],
		101	+ "data_formats": [
		102	+ "Markdown",
		103	+ "PDF",
		104	+ "DOCX",
		105	+ "TextBundle"
		106	+ ],
		107	+ "languages": [],
		108	+ "source_model": "proprietary",
		109	+ "pricing_model": [
		110	+ "freemium",
		111	+ "paid"
		112	+ ],
		113	+ "pricing_checked_at": "2026-11-02",
		114	+ "self_hostable": false,
		115	+ "sources": [
		116	+ {
		117	+ "url": "https://www.craft.do/",
		118	+ "type": "official_site",
		119	+ "supports": [
		120	+ "name",
		121	+ "summary",
		122	+ "operating_systems"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "Craft"
		126	+ },
		127	+ {
		128	+ "url": "https://support.craft.do/",
		129	+ "type": "official_docs",
		130	+ "supports": [
		131	+ "capabilities",
		132	+ "data_formats"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "Craft Help Center"
		136	+ },
		137	+ {
		138	+ "url": "https://www.craft.do/pricing",
		139	+ "type": "pricing_page",
		140	+ "supports": [
		141	+ "pricing_model"
		142	+ ],
		143	+ "checked_at": "2026-11-02",
		144	+ "title": "Craft pricing"
		145	+ }
		146	+ ],
		147	+ "confidence": "high",
		148	+ "depth": "standard",
		149	+ "featured": false,
		150	+ "discovery_method": "editorial-research",
		151	+ "editorial_status": "reviewed",
		152	+ "visibility": "public",
		153	+ "author": "batch-F"
		154	+}

added content/tools/crawlee.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "crawlee",
		3	+ "name": "Crawlee",
		4	+ "aliases": ["Apify SDK (legacy name)", "crawlee-python"],
		5	+ "vendor": { "name": "Apify Technologies s.r.o.", "slug": "apify", "website": "https://apify.com/" },
		6	+ "homepage_url": "https://crawlee.dev/",
		7	+ "docs_url": "https://crawlee.dev/js/docs/quick-start",
		8	+ "repo_url": "https://github.com/apify/crawlee",
		9	+ "license_url": "https://github.com/apify/crawlee/blob/master/LICENSE.md",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source crawling and scraping library for Node.js/TypeScript and Python that unifies HTTP and headless-browser crawlers with queues, proxies, fingerprints and storage",
		13	+ "description": "Crawlee is Apify's open-source web crawling library, released under the Apache 2.0 license, available for Node.js and TypeScript and, since 2024, for Python. It provides a common crawler abstraction over different fetching strategies: plain HTTP crawlers with Cheerio or JSDOM parsing in JavaScript and BeautifulSoup or Parsel in Python, and browser crawlers driven by Playwright or Puppeteer, including an adaptive crawler that switches to a browser only when a page needs JavaScript.\n\nAround that core it supplies the infrastructure most scrapers end up rebuilding: a persistent request queue with deduplication, automatic scaling based on system resources, retries and session management, proxy rotation, realistic browser fingerprints, and datasets and key-value stores with pluggable backends (file system, memory, SQL, Redis). Crawlers run anywhere Node or Python runs and deploy to the Apify platform as Actors with no code changes.\n\nCrawlee suits developers who want Scrapy-like structure with first-class browser support and modern language tooling. The Python port is younger than the JavaScript library and has fewer integrations, and anti-bot evasion still depends on proxy quality.",
		14	+ "capabilities": ["Unified HTTP and browser crawler classes (Cheerio, JSDOM, Playwright, Puppeteer, BeautifulSoup, Parsel)", "Persistent request queue with deduplication and autoscaling", "Proxy rotation, sessions and browser fingerprinting", "Datasets and key-value stores with multiple storage backends", "Adaptive crawler that uses a browser only when needed", "One-step deployment to the Apify platform"],
		15	+ "workflows": ["Crawl a documentation site to Markdown with an HTTP crawler", "Scrape a React-rendered catalog with PlaywrightCrawler", "Package a crawler as an Apify Actor"],
		16	+ "advantages": ["Batteries included for queues, proxies and storage", "Same mental model in JavaScript and Python", "Apache 2.0 license and active development"],
		17	+ "limitations": ["Python port is newer with fewer integrations", "Browser crawling is resource-intensive", "Evasion depends on external proxies"],
		18	+ "prerequisites": ["Node.js 16 or newer, or Python 3.10 or newer"],
		19	+ "audiences": ["Developers building production scrapers", "Teams deploying to Apify"],
		20	+ "alternatives": ["scrapy", "puppeteer", "playwright", "apify"],
		21	+ "categories": [{ "slug": "data-collection-crawling", "primary": true }],
		22	+ "tags": ["crawler", "browser-automation", "typescript", "python", "nodejs", "open-source"],
		23	+ "use_cases": ["crawl-websites", "collect-web-data"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local", "self-hosted", "cloud"],
		26	+ "interfaces": ["library", "cli"],
		27	+ "deployment_models": ["on-premises", "saas"],
		28	+ "integrations": ["Playwright", "Puppeteer", "Cheerio", "BeautifulSoup", "Apify platform", "Redis", "SQL databases"],
		29	+ "data_formats": ["JSON", "CSV", "HTML"],
		30	+ "languages": ["TypeScript", "JavaScript", "Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://crawlee.dev/", "type": "official_site", "title": "Crawlee", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://crawlee.dev/python/", "type": "official_docs", "title": "Crawlee for Python", "supports": ["capabilities", "languages", "integrations"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/apify/crawlee/blob/master/LICENSE.md", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/create-ml.json +44 −0

				@@ -0,0 +1,44 @@
		1	+{
		2	+ "slug": "create-ml",
		3	+ "name": "Create ML",
		4	+ "aliases": ["CreateML"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/documentation/createml",
		7	+ "docs_url": "https://developer.apple.com/documentation/createml",
		8	+ "product_type": "application",
		9	+ "product_status": "active",
		10	+ "summary": "Apple's app and Swift framework for training image, text, sound, tabular and activity models on a Mac without writing training code, exporting directly to Core ML",
		11	+ "description": "Create ML is Apple's model-training tool for developers who want a Core ML model without building a training pipeline. It exists as a Mac application bundled with Xcode and as a Swift framework usable in playgrounds and on-device. Users pick a template, such as image, object detection, text classification, sound, tabular regression, activity or recommendation, point it at labeled data, and train with transfer learning on top of the models Apple ships in the operating system, which keeps training short and the resulting models small.\n\nThe app shows accuracy metrics, lets you test with new data and exports a `.mlmodel` ready to drop into an Xcode project. Because training runs on the Mac's own hardware, data never leaves the machine. The framework variant supports training on iOS and iPadOS for personalization scenarios.\n\nIt is tied to Apple's template set and platforms: there is no arbitrary architecture definition, no distributed training and no non-Apple export, so anything beyond the supported tasks is done in PyTorch or MLX and converted with coremltools.",
		12	+ "capabilities": ["Template-based training for images, text, sound, tabular data, activity and recommendations", "Transfer learning on Apple's built-in models", "Evaluation and live testing in the app", "Direct export to Core ML format", "Swift framework for programmatic and on-device training"],
		13	+ "workflows": ["Train an image classifier from labeled folders and add it to an app", "Build a text classifier for support tickets", "Personalize a model on-device with user data"],
		14	+ "advantages": ["No training code required", "Fast, local training with small outputs", "Free with Xcode"],
		15	+ "limitations": ["Only Apple's task templates", "Apple platforms only; no other export format", "Not suited to large or custom architectures"],
		16	+ "prerequisites": ["Mac with Xcode", "Labeled training data"],
		17	+ "audiences": ["App developers adding ML features", "Educators and students"],
		18	+ "alternatives": ["core-ml", "pytorch", "scikit-learn", "mlx"],
		19	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "model-training" }],
		20	+ "tags": ["apple-silicon", "macos", "model-training", "no-code", "swift"],
		21	+ "use_cases": ["fine-tune-models", "build-native-apps"],
		22	+ "operating_systems": ["macos", "ios"],
		23	+ "execution_modes": ["local"],
		24	+ "interfaces": ["desktop", "sdk"],
		25	+ "deployment_models": ["desktop"],
		26	+ "integrations": ["Xcode", "Core ML", "Vision", "Natural Language"],
		27	+ "data_formats": [".mlmodel", "CSV / JSON tables", "Labeled image folders"],
		28	+ "languages": ["Swift"],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["free"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://developer.apple.com/documentation/createml", "type": "official_site", "title": "Create ML | Apple Developer Documentation", "supports": ["name", "summary", "capabilities", "operating_systems"], "checked_at": "2026-11-02" },
		34	+ { "url": "https://developer.apple.com/documentation/coreml", "type": "official_docs", "title": "Core ML | Apple Developer Documentation", "supports": ["integrations", "data_formats"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://developer.apple.com/documentation/xcode", "type": "official_docs", "title": "Xcode | Apple Developer Documentation", "supports": ["prerequisites"], "checked_at": "2026-11-02" }
		36	+ ],
		37	+ "confidence": "high",
		38	+ "discovery_method": "editorial-research",
		39	+ "depth": "standard",
		40	+ "editorial_status": "reviewed",
		41	+ "visibility": "public",
		42	+ "featured": false,
		43	+ "author": "batch-C"
		44	+}

added content/tools/crewai.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "crewai",
		3	+ "name": "CrewAI",
		4	+ "aliases": ["crewai (PyPI)", "CrewAI Enterprise", "CrewAI AMP"],
		5	+ "vendor": { "name": "CrewAI, Inc.", "slug": "crewai-inc", "website": "https://crewai.com" },
		6	+ "homepage_url": "https://crewai.com/",
		7	+ "docs_url": "https://docs.crewai.com/",
		8	+ "repo_url": "https://github.com/crewAIInc/crewAI",
		9	+ "pricing_url": "https://crewai.com/pricing",
		10	+ "license_url": "https://github.com/crewAIInc/crewAI/blob/main/LICENSE",
		11	+ "product_type": "framework",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source Python framework for role-based multi-agent crews and event-driven flows, with a commercial enterprise console for deploying, monitoring and triggering automations",
		14	+ "description": "CrewAI is an MIT-licensed Python framework for orchestrating multiple LLM agents that collaborate on tasks. Agents are defined with roles, goals, tools, memory and knowledge sources; tasks are grouped into crews that run sequentially, hierarchically or in a hybrid process with guardrails, callbacks and human-in-the-loop triggers; and Flows add deterministic start, listen and router steps with persisted state so long-running workflows can resume. Structured outputs use Pydantic, and a CLI scaffolds projects. Integration tools let crews call existing automations or Amazon Bedrock Agents.\n\nThe company sells an enterprise console that deploys automations to CrewAI's cloud, a customer VPC or on-premises infrastructure, manages environments, monitors live runs, connects triggers from Gmail, Slack, Salesforce and other systems, and adds RBAC, SSO and PII redaction. A free Basic plan includes a visual editor with limited monthly executions; everything else is custom-priced Enterprise. CrewAI suits business-process automations where the mental model of a team with roles is natural; for fine-grained control over state and branching, graph-based frameworks are more explicit, and the framework's abstractions can hide prompt details that matter for reliability.",
		15	+ "capabilities": ["Role-based agents with tools, memory and knowledge", "Crews with sequential, hierarchical or hybrid processes", "Flows with routers, persisted state and resumable execution", "Guardrails, callbacks and human-in-the-loop triggers", "CLI scaffolding and Pydantic structured outputs", "Enterprise console for deployment, monitoring, triggers and governance"],
		16	+ "workflows": ["Model a research-and-writing pipeline as a crew of specialist agents", "Trigger a flow from an incoming email and route exceptions to a human", "Deploy a crew to a VPC from the enterprise console"],
		17	+ "advantages": ["Intuitive team-and-roles abstraction", "MIT-licensed core with commercial deployment option", "Built-in enterprise connectors and governance"],
		18	+ "limitations": ["Abstractions can obscure prompts and control flow", "Enterprise features are proprietary and custom-priced", "Python only"],
		19	+ "prerequisites": ["Python 3.10+ and uv or pip", "API key for a model provider"],
		20	+ "audiences": ["Teams automating business processes with agents", "Developers prototyping multi-agent collaborations"],
		21	+ "alternatives": ["langgraph", "autogen", "openai-agents-sdk", "pydantic-ai", "langchain"],
		22	+ "categories": [{ "slug": "agent-frameworks", "primary": true }],
		23	+ "tags": ["agents", "multi-agent", "python", "open-source", "llm", "automation"],
		24	+ "use_cases": ["build-agents"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["library", "cli", "web"],
		28	+ "deployment_models": ["embedded", "saas", "on-premises"],
		29	+ "integrations": ["Amazon Bedrock Agents", "Slack", "Gmail", "Salesforce", "Langfuse", "OpenAI", "Anthropic"],
		30	+ "data_formats": ["JSON", "YAML (agent and task config)"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "mixed",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "freemium", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": true,
		37	+ "sources": [
		38	+ { "url": "https://crewai.com/", "type": "official_site", "title": "CrewAI", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://docs.crewai.com/", "type": "official_docs", "title": "CrewAI documentation", "supports": ["capabilities", "integrations"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/crewAIInc/crewAI/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://crewai.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Basic (free) and Enterprise (custom) plans" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-A"
		50	+}

added content/tools/crossref.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "crossref",
		3	+ "name": "Crossref",
		4	+ "aliases": ["CrossRef", "Crossref REST API"],
		5	+ "vendor": { "name": "Crossref", "slug": "crossref", "website": "https://www.crossref.org" },
		6	+ "homepage_url": "https://www.crossref.org/",
		7	+ "docs_url": "https://www.crossref.org/documentation/",
		8	+ "repo_url": "https://github.com/CrossRef/rest-api-doc",
		9	+ "pricing_url": "https://www.crossref.org/fees/",
		10	+ "product_type": "service",
		11	+ "product_status": "active",
		12	+ "summary": "Membership organization that registers DOIs for scholarly content and exposes the metadata through a free public REST API, content negotiation and the paid Metadata Plus service",
		13	+ "description": "Crossref is the scholarly DOI registration agency: publishers, societies, universities and funders join as members and register persistent identifiers and metadata for journal articles, books, preprints, datasets, grants and other content, paying tiered annual membership fees and one-time per-record registration fees. The resulting metadata corpus, which the organization states is almost entirely free of copyright restrictions apart from some abstracts, is available to anyone without signup through the REST API at api.crossref.org: /works, /journals, /members, /prefixes, /funders, /types and /licenses endpoints support filtering, faceting, sampling and querying, and content negotiation returns a single record in BibTeX, RIS, CSL JSON and other formats.\n\nAPI usage is tiered by politeness: adding a mailto parameter places requests in the \"polite\" pool with better service, back-off is expected on 429 responses, and the paid Metadata Plus subscription provides dedicated capacity and monthly snapshots for heavy users. Reference managers (Zotero, JabRef), OpenAlex and most discovery tools rely on Crossref for DOI lookup and citation metadata. Limits are that coverage depends on what members deposit (reference lists and abstracts are incomplete), non-DOI content is absent, and bulk crawling without Plus is slow.",
		14	+ "capabilities": ["DOI registration for members across content types", "Free public REST API over works, journals, members, funders and more", "Filtering, faceting, sampling and polite pool via mailto", "Content negotiation for BibTeX, RIS and CSL JSON", "Metadata Plus with dedicated servers and monthly snapshots", "Similarity Check and other member services", "Open Funder Registry"],
		15	+ "workflows": ["Resolving DOIs to citation metadata in a reference manager", "Harvesting all works of a journal for a bibliometric study", "Registering DOIs for a university working-paper series"],
		16	+ "advantages": ["Free API without authentication", "Metadata largely free of copyright restrictions", "Authoritative source for DOI metadata"],
		17	+ "limitations": ["Coverage limited to member-deposited metadata", "Abstracts and references incomplete", "Heavy use requires Metadata Plus or careful rate handling"],
		18	+ "prerequisites": ["None for the API; membership to register DOIs"],
		19	+ "audiences": ["Publishers and institutional repositories", "Developers of citation and discovery tools", "Scientometricians"],
		20	+ "alternatives": ["openalex", "semantic-scholar", "orcid", "zenodo"],
		21	+ "comparison_notes": "OpenAlex ingests Crossref and adds authors, institutions and topics under CC0; Semantic Scholar adds AI-derived fields under its own licences; ORCID identifies people rather than works; Zenodo registers DOIs through DataCite, the other major agency. Crossref is the canonical source for publisher DOI metadata.",
		22	+ "categories": [{ "slug": "research-dissemination", "primary": true }, { "slug": "academic-discovery" }],
		23	+ "tags": ["doi", "api", "bibliography", "open-data", "citations"],
		24	+ "use_cases": ["manage-references", "write-papers", "search-the-web-programmatically"],
		25	+ "operating_systems": ["web"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["web", "api"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["Zotero", "JabRef", "OpenAlex", "ORCID", "DataCite"],
		30	+ "data_formats": ["JSON", "BibTeX", "RIS", "CSL JSON", "XML"],
		31	+ "languages": [],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["free", "paid", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://www.crossref.org/", "type": "official_site", "title": "Crossref", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.crossref.org/documentation/retrieve-metadata/rest-api/", "type": "official_docs", "title": "REST API - Crossref", "supports": ["capabilities", "description", "data_formats"], "checked_at": "2026-11-02", "note": "Endpoints, mailto polite pool, metadata reuse statement" },
		39	+ { "url": "https://www.crossref.org/documentation/retrieve-metadata/rest-api/tips-for-using-the-crossref-rest-api/", "type": "official_docs", "title": "Tips for using the Crossref REST API", "supports": ["limitations"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://www.crossref.org/fees/", "type": "pricing_page", "title": "Fees - Crossref", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/CrossRef/rest-api-doc", "type": "repository", "title": "CrossRef/rest-api-doc", "supports": ["repo_url"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-E"
		50	+}

added content/tools/crowdsec.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "crowdsec",
		3	+ "name": "CrowdSec",
		4	+ "aliases": ["CrowdSec Security Engine"],
		5	+ "vendor": { "name": "CrowdSec", "slug": "crowdsec", "website": "https://www.crowdsec.net" },
		6	+ "homepage_url": "https://www.crowdsec.net/",
		7	+ "docs_url": "https://docs.crowdsec.net/",
		8	+ "repo_url": "https://github.com/crowdsecurity/crowdsec",
		9	+ "pricing_url": "https://www.crowdsec.net/pricing",
		10	+ "license_url": "https://github.com/crowdsecurity/crowdsec/blob/master/LICENSE",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source behavior-based intrusion prevention engine whose detections feed a crowd-sourced IP reputation network, with remediation components for firewalls, proxies and CDNs",
		14	+ "description": "CrowdSec is an intrusion prevention system from the company of the same name. Its Security Engine, open source under the MIT license and written in Go, parses logs or network data, evaluates them against scenarios (brute force, scanning, HTTP exploits, bot patterns) and raises decisions such as bans. Separate remediation components, formerly called bouncers, enforce those decisions in iptables or nftables, NGINX, Traefik, Caddy, HAProxy, Cloudflare, AWS WAF and other integration points.\n\nThe distinguishing element is the crowd: engines that opt in share signals about aggressive IPs with CrowdSec's central API and receive a community blocklist in return, so a server benefits from attacks seen elsewhere before it is targeted. A hosted console displays alerts across engines and offers additional curated blocklists and threat-intelligence lookups on free and paid plans.\n\nCrowdSec runs on Linux, FreeBSD, Windows and in containers, and replaces Fail2Ban for many users. It has more moving parts than Fail2Ban, scenario tuning takes time, and the shared-intelligence features depend on the vendor's service.",
		15	+ "capabilities": ["Log and network parsing with scenario-based detection written in YAML", "Remediation components for firewalls, reverse proxies, CDNs and cloud WAFs", "Crowd-sourced community blocklist exchanged through the central API", "Hub of parsers, scenarios and collections for common services", "Hosted console with alert visualization and additional blocklists", "Local API for multi-machine deployments"],
		16	+ "workflows": ["Protect SSH and web services on a VPS with firewall remediation", "Block attackers at a Traefik or Caddy proxy before they reach applications", "Subscribe to curated blocklists for a fleet through the console"],
		17	+ "advantages": ["MIT-licensed engine with shared threat intelligence", "Wide set of remediation integrations", "Behavior scenarios beyond simple failed-login counting"],
		18	+ "limitations": ["More components to install and tune than Fail2Ban", "Community and premium blocklists depend on the vendor's service", "Console features are tiered"],
		19	+ "prerequisites": ["Linux, FreeBSD or Windows host or container", "Logs or traffic to analyze"],
		20	+ "audiences": ["Server administrators and self-hosters", "Security teams managing many hosts"],
		21	+ "alternatives": ["fail2ban"],
		22	+ "comparison_notes": "Fail2Ban is a single-host log watcher with firewall actions and no external dependencies; CrowdSec adds a shared reputation network, richer scenarios and enforcement at proxies and CDNs.",
		23	+ "categories": [{ "slug": "security-tools", "primary": true }],
		24	+ "tags": ["intrusion-prevention", "threat-intelligence", "firewall", "open-source", "self-hosted", "go", "security"],
		25	+ "use_cases": ["harden-servers"],
		26	+ "operating_systems": ["linux", "windows"],
		27	+ "execution_modes": ["self-hosted", "cloud"],
		28	+ "interfaces": ["cli", "api", "web"],
		29	+ "deployment_models": ["on-premises", "hybrid"],
		30	+ "integrations": ["iptables", "nftables", "NGINX", "Traefik", "Caddy", "HAProxy", "Cloudflare", "AWS WAF", "Docker"],
		31	+ "data_formats": ["YAML scenarios and parsers", "log files"],
		32	+ "languages": ["Go"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "freemium", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.crowdsec.net/", "type": "official_site", "title": "CrowdSec", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.crowdsec.net/", "type": "official_docs", "title": "CrowdSec Documentation", "supports": ["capabilities", "integrations", "operating_systems"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/crowdsecurity/crowdsec/blob/master/LICENSE", "type": "license_page", "title": "CrowdSec LICENSE (MIT)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://www.crowdsec.net/pricing", "type": "pricing_page", "title": "CrowdSec Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/cursor.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "cursor",
		3	+ "name": "Cursor",
		4	+ "aliases": ["Cursor AI", "Cursor editor"],
		5	+ "vendor": { "name": "Anysphere", "slug": "anysphere", "website": "https://cursor.com" },
		6	+ "homepage_url": "https://cursor.com/",
		7	+ "docs_url": "https://cursor.com/docs",
		8	+ "pricing_url": "https://cursor.com/pricing",
		9	+ "privacy_url": "https://cursor.com/privacy",
		10	+ "security_url": "https://cursor.com/security",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "AI-native code editor from Anysphere, forked from VS Code, with inline edits, codebase-aware chat and agent mode that can run multi-step changes",
		14	+ "description": "Cursor is a desktop code editor developed by Anysphere. It is a fork of Visual Studio Code, so it keeps VS Code's extension marketplace compatibility, keybindings and settings import while replacing the editing experience with AI features built into the core: multi-line tab completion that predicts the next edit, an inline edit command, a chat panel indexed on the whole repository, and an agent mode that plans and applies changes across files, runs terminal commands and iterates on errors. Users can route requests to models from several providers, including Anthropic, OpenAI and Google, or to Anysphere's own models.\n\nCursor is distributed for macOS, Windows and Linux under a freemium model with paid individual and team plans; a privacy mode that keeps code from being stored by the vendor is documented on its security pages. Limitations include dependence on cloud inference for most features, a closed-source core, and the usual VS Code heritage of Electron memory use. Because the fork tracks upstream VS Code with a delay, some new VS Code features arrive later, and a few Microsoft-licensed extensions are not available in the Cursor marketplace.",
		15	+ "capabilities": ["Predictive multi-line tab completion", "Inline AI edits scoped to a selection or file", "Repository-indexed chat with file and documentation references", "Agent mode for multi-file changes and terminal execution", "Model choice across several providers", "Rules files to steer the assistant per project", "Compatibility with VS Code extensions and settings"],
		16	+ "workflows": ["Refactor across a codebase through an agent run, then review the diff", "Ask questions about an unfamiliar repository before editing", "Generate tests and fix failures iteratively"],
		17	+ "advantages": ["Familiar to VS Code users with little retraining", "AI features integrated in the editor core rather than bolted on", "Choice of underlying models"],
		18	+ "limitations": ["Core is closed source", "Most features require cloud inference and a subscription for sustained use", "Tracks upstream VS Code with a lag", "Some Microsoft extensions unavailable"],
		19	+ "prerequisites": ["macOS, Windows or Linux; an account for AI features"],
		20	+ "audiences": ["Developers who want an AI-first editor", "Teams adopting agentic coding workflows"],
		21	+ "alternatives": ["vs-code", "zed", "claude-code", "openai-codex"],
		22	+ "comparison_notes": "VS Code with GitHub Copilot offers a similar feature set inside the original editor and is free for the editor itself; Cursor differentiates through its own completion model and tighter agent integration. Zed takes a native, non-Electron approach with built-in AI and lower resource use. Claude Code and OpenAI Codex are terminal-based agents that work with any editor instead of replacing it.",
		23	+ "categories": [{ "slug": "coding-agents", "primary": true }, { "slug": "ide-editors" }],
		24	+ "tags": ["editor", "ide", "llm", "agents", "macos"],
		25	+ "use_cases": ["write-code-with-ai"],
		26	+ "operating_systems": ["macos", "windows", "linux"],
		27	+ "execution_modes": ["local", "cloud"],
		28	+ "interfaces": ["desktop"],
		29	+ "deployment_models": ["desktop", "saas"],
		30	+ "integrations": ["VS Code extensions", "Anthropic Claude", "OpenAI", "Google Gemini", "Git", "Model Context Protocol"],
		31	+ "data_formats": ["Source code", "JSON settings"],
		32	+ "languages": ["TypeScript"],
		33	+ "source_model": "proprietary",
		34	+ "pricing_model": ["freemium", "paid", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": false,
		37	+ "sources": [
		38	+ { "url": "https://cursor.com/", "type": "official_site", "title": "Cursor – The AI Code Editor", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://cursor.com/docs", "type": "official_docs", "title": "Cursor Docs", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://cursor.com/pricing", "type": "pricing_page", "title": "Cursor Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://cursor.com/security", "type": "policy_page", "title": "Cursor Security", "supports": ["description"], "checked_at": "2026-11-02", "note": "Documents privacy mode; no certification claims recorded here" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-B1"
		50	+}

added content/tools/cypress.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "cypress",
		3	+ "name": "Cypress",
		4	+ "aliases": ["Cypress.io"],
		5	+ "vendor": { "name": "Cypress.io", "slug": "cypress-io", "website": "https://www.cypress.io" },
		6	+ "homepage_url": "https://www.cypress.io/",
		7	+ "docs_url": "https://docs.cypress.io/",
		8	+ "repo_url": "https://github.com/cypress-io/cypress",
		9	+ "license_url": "https://github.com/cypress-io/cypress/blob/develop/LICENSE",
		10	+ "pricing_url": "https://www.cypress.io/pricing",
		11	+ "product_type": "framework",
		12	+ "product_status": "active",
		13	+ "summary": "End-to-end and component testing framework that runs tests inside the browser with an interactive runner, paired with the commercial Cypress Cloud",
		14	+ "description": "Cypress is a JavaScript testing framework for end-to-end and component tests developed by Cypress.io. Unlike out-of-process automation tools, Cypress executes test code in the same browser run loop as the application, which gives it direct access to the DOM, network layer and application state, and powers its interactive runner that shows each command, DOM snapshot and request as a test executes. Tests are written in JavaScript or TypeScript with a chainable command API and automatic retries of assertions.\n\nThe open-source application is MIT-licensed and free to run locally or in CI. Cypress Cloud, the company's hosted service, adds parallelization across CI machines, flake detection, test analytics and recorded runs on a freemium basis. Cypress supports Chromium-based browsers, Firefox and WebKit (the last experimentally), and component testing for React, Vue, Angular and Svelte. Its architectural choice brings limitations: tests are bound to a single browser tab and origin per test with some workarounds, multi-tab scenarios are not supported, only JavaScript is available as a language, and parallel execution without the Cloud requires custom orchestration.",
		15	+ "capabilities": ["In-browser test execution with an interactive runner", "Time-travel debugging through command snapshots", "Automatic retries of assertions and commands", "Network stubbing and interception", "Component testing for React, Vue, Angular and Svelte", "Cypress Cloud for parallelization and analytics"],
		16	+ "workflows": ["Debug a failing end-to-end test step by step in the runner", "Stub API responses to test UI states", "Parallelize a suite across CI machines with Cypress Cloud"],
		17	+ "advantages": ["Approachable debugging experience", "Open-source runner under the MIT license", "Component testing in the same tool"],
		18	+ "limitations": ["Single tab and limited multi-origin support", "JavaScript and TypeScript only", "Parallelization and analytics tied to a commercial service", "WebKit support is experimental"],
		19	+ "prerequisites": ["Node.js; optional Cypress Cloud account"],
		20	+ "audiences": ["Front-end teams", "QA engineers who favor interactive debugging"],
		21	+ "alternatives": ["playwright", "puppeteer"],
		22	+ "comparison_notes": "Playwright drives browsers from outside the page, supports WebKit, Firefox and Chromium equally, offers multiple language bindings and parallelizes locally without a paid service; Cypress counters with its in-browser runner and guided debugging. Puppeteer is a lower-level Chromium automation library without a test runner.",
		23	+ "categories": [{ "slug": "testing-qa", "primary": true }],
		24	+ "tags": ["testing", "browser-automation", "javascript", "typescript", "open-source"],
		25	+ "use_cases": [],
		26	+ "operating_systems": ["macos", "linux", "windows"],
		27	+ "execution_modes": ["local", "cloud"],
		28	+ "interfaces": ["desktop", "cli", "library"],
		29	+ "deployment_models": ["desktop", "saas"],
		30	+ "integrations": ["GitHub Actions", "GitLab CI", "React", "Vue", "Angular", "Cypress Cloud"],
		31	+ "data_formats": ["JavaScript", "TypeScript", "Screenshots and video", "JUnit XML"],
		32	+ "languages": ["TypeScript", "JavaScript"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "freemium", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.cypress.io/", "type": "official_site", "title": "Cypress", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.cypress.io/", "type": "official_docs", "title": "Cypress Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/cypress-io/cypress/blob/develop/LICENSE", "type": "license_page", "supports": ["license_spdx"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://www.cypress.io/pricing", "type": "pricing_page", "title": "Cypress Cloud pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/d3.json +165 −0

				@@ -0,0 +1,165 @@
		1	+{
		2	+ "aliases": [
		3	+ "D3.js",
		4	+ "Data-Driven Documents"
		5	+ ],
		6	+ "workflows": [
		7	+ "Custom interactive graphic for a web publication",
		8	+ "Map visualizations with projections and TopoJSON",
		9	+ "Building a higher-level charting component for a web app"
		10	+ ],
		11	+ "advantages": [
		12	+ "Unlimited control over visual form",
		13	+ "Mature, stable and widely documented",
		14	+ "ISC license"
		15	+ ],
		16	+ "limitations": [
		17	+ "Verbose for standard charts",
		18	+ "Requires JavaScript, SVG and DOM knowledge",
		19	+ "No built-in chart types"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "A JavaScript environment (browser, Node.js, Observable)"
		23	+ ],
		24	+ "audiences": [
		25	+ "Front-end and visualization developers",
		26	+ "Data journalists"
		27	+ ],
		28	+ "alternatives": [
		29	+ "observable",
		30	+ "plotly",
		31	+ "vega-altair",
		32	+ "leaflet",
		33	+ "maplibre"
		34	+ ],
		35	+ "tags": [
		36	+ "data-visualization",
		37	+ "javascript",
		38	+ "typescript",
		39	+ "svg",
		40	+ "open-source",
		41	+ "gis"
		42	+ ],
		43	+ "use_cases": [
		44	+ "visualize-data",
		45	+ "map-geodata"
		46	+ ],
		47	+ "operating_systems": [
		48	+ "web"
		49	+ ],
		50	+ "deployment_models": [
		51	+ "embedded"
		52	+ ],
		53	+ "integrations": [
		54	+ "Observable",
		55	+ "Observable Plot",
		56	+ "React",
		57	+ "TopoJSON",
		58	+ "Svelte",
		59	+ "Vue"
		60	+ ],
		61	+ "data_formats": [
		62	+ "CSV/TSV/JSON parsing",
		63	+ "GeoJSON",
		64	+ "TopoJSON",
		65	+ "SVG and Canvas output"
		66	+ ],
		67	+ "languages": [
		68	+ "JavaScript",
		69	+ "TypeScript"
		70	+ ],
		71	+ "self_hostable": true,
		72	+ "discovery_method": "editorial-research",
		73	+ "depth": "standard",
		74	+ "editorial_status": "reviewed",
		75	+ "visibility": "public",
		76	+ "featured": false,
		77	+ "author": "batch-D",
		78	+ "slug": "d3",
		79	+ "name": "D3",
		80	+ "vendor": {
		81	+ "name": "Mike Bostock / Observable, Inc.",
		82	+ "slug": "observable-inc",
		83	+ "website": "https://d3js.org/"
		84	+ },
		85	+ "homepage_url": "https://d3js.org/",
		86	+ "docs_url": "https://d3js.org/getting-started",
		87	+ "repo_url": "https://github.com/d3/d3",
		88	+ "license_url": "https://github.com/d3/d3/blob/main/LICENSE",
		89	+ "product_type": "library",
		90	+ "product_status": "active",
		91	+ "summary": "Modular JavaScript library for bespoke, data-driven web graphics: scales, axes, shapes, layouts, geo projections, transitions and DOM selections",
		92	+ "description": "D3 (Data-Driven Documents) is a JavaScript library created by Mike Bostock and maintained with Observable under the ISC license. Rather than offering chart types, it provides low-level building blocks: selections that bind data to DOM elements, scales and axes, shape generators for lines, areas and arcs, layouts for hierarchies, forces, chords and treemaps, geographic projections and path generators, color schemes, interpolators, transitions, and zoom, drag and brush behaviors. Developers compose these into SVG or Canvas graphics with complete control over form and interaction, which is why D3 underlies most custom data journalism graphics and many higher-level libraries, including Observable Plot and parts of Vega.\n\nD3 is distributed as ES modules (one package or thirty-odd sub-packages) and runs in browsers, Node.js, Observable notebooks and Observable Framework. The cost of that flexibility is effort: standard charts take far more code than in Plotly or Altair, and knowledge of SVG, the DOM and JavaScript is required. For Python-centric researchers it is usually reached through Observable or a web front end rather than directly.",
		93	+ "capabilities": [
		94	+ "Data joins binding arrays to DOM elements",
		95	+ "Scales, axes and color schemes",
		96	+ "Shape generators and hierarchical, force and chord layouts",
		97	+ "Geographic projections and GeoJSON/TopoJSON rendering",
		98	+ "Transitions, zoom, drag and brush interactions",
		99	+ "Modular ES packages usable in browsers and Node.js"
		100	+ ],
		101	+ "categories": [
		102	+ {
		103	+ "slug": "data-visualization",
		104	+ "primary": true
		105	+ },
		106	+ {
		107	+ "slug": "web-frameworks"
		108	+ }
		109	+ ],
		110	+ "execution_modes": [
		111	+ "local"
		112	+ ],
		113	+ "interfaces": [
		114	+ "library"
		115	+ ],
		116	+ "source_model": "open-source",
		117	+ "license_spdx": "ISC",
		118	+ "pricing_model": [
		119	+ "open-source",
		120	+ "free"
		121	+ ],
		122	+ "sources": [
		123	+ {
		124	+ "url": "https://d3js.org/",
		125	+ "type": "official_site",
		126	+ "supports": [
		127	+ "name",
		128	+ "summary",
		129	+ "capabilities"
		130	+ ],
		131	+ "checked_at": "2026-11-02",
		132	+ "title": "D3 by Observable"
		133	+ },
		134	+ {
		135	+ "url": "https://d3js.org/getting-started",
		136	+ "type": "official_docs",
		137	+ "supports": [
		138	+ "capabilities",
		139	+ "interfaces"
		140	+ ],
		141	+ "checked_at": "2026-11-02",
		142	+ "title": "D3 Getting started"
		143	+ },
		144	+ {
		145	+ "url": "https://github.com/d3/d3/blob/main/LICENSE",
		146	+ "type": "license_page",
		147	+ "supports": [
		148	+ "license_spdx",
		149	+ "source_model"
		150	+ ],
		151	+ "checked_at": "2026-11-02",
		152	+ "title": "D3 LICENSE (ISC)"
		153	+ },
		154	+ {
		155	+ "url": "https://github.com/d3/d3",
		156	+ "type": "repository",
		157	+ "supports": [
		158	+ "repo_url"
		159	+ ],
		160	+ "checked_at": "2026-11-02",
		161	+ "title": "d3/d3"
		162	+ }
		163	+ ],
		164	+ "confidence": "high"
		165	+}

added content/tools/dagster.json +178 −0

				@@ -0,0 +1,178 @@
		1	+{
		2	+ "aliases": [
		3	+ "Dagster+"
		4	+ ],
		5	+ "workflows": [
		6	+ "Asset graph combining Python ingestion, dbt models and ML training",
		7	+ "Partitioned backfills of daily datasets",
		8	+ "Local development of a research data pipeline with lineage"
		9	+ ],
		10	+ "advantages": [
		11	+ "Lineage and data-quality checks are built into the model",
		12	+ "Simple local setup",
		13	+ "Strong dbt integration"
		14	+ ],
		15	+ "limitations": [
		16	+ "Asset-centric model suits persistent datasets more than ad-hoc jobs",
		17	+ "API has changed between releases",
		18	+ "Hybrid/serverless features are tied to Dagster+"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Python environment; optional Dagster+ account"
		22	+ ],
		23	+ "audiences": [
		24	+ "Data engineers and analytics engineers",
		25	+ "Research teams maintaining reproducible pipelines"
		26	+ ],
		27	+ "alternatives": [
		28	+ "apache-airflow",
		29	+ "prefect",
		30	+ "dbt"
		31	+ ],
		32	+ "tags": [
		33	+ "orchestration",
		34	+ "python",
		35	+ "open-source",
		36	+ "lineage",
		37	+ "self-hosted"
		38	+ ],
		39	+ "use_cases": [
		40	+ "orchestrate-pipelines",
		41	+ "transform-data"
		42	+ ],
		43	+ "operating_systems": [
		44	+ "macos",
		45	+ "linux",
		46	+ "windows"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "managed-cloud",
		51	+ "hybrid"
		52	+ ],
		53	+ "integrations": [
		54	+ "dbt",
		55	+ "DuckDB",
		56	+ "Snowflake",
		57	+ "BigQuery",
		58	+ "Apache Spark",
		59	+ "pandas",
		60	+ "Polars",
		61	+ "Kubernetes"
		62	+ ],
		63	+ "data_formats": [
		64	+ "Python definitions",
		65	+ "Parquet and warehouse tables via I/O managers"
		66	+ ],
		67	+ "languages": [
		68	+ "Python"
		69	+ ],
		70	+ "self_hostable": true,
		71	+ "discovery_method": "editorial-research",
		72	+ "depth": "standard",
		73	+ "editorial_status": "reviewed",
		74	+ "visibility": "public",
		75	+ "featured": false,
		76	+ "author": "batch-D",
		77	+ "slug": "dagster",
		78	+ "name": "Dagster",
		79	+ "vendor": {
		80	+ "name": "Dagster Labs",
		81	+ "slug": "dagster-labs",
		82	+ "website": "https://dagster.io/"
		83	+ },
		84	+ "homepage_url": "https://dagster.io/",
		85	+ "docs_url": "https://docs.dagster.io/",
		86	+ "repo_url": "https://github.com/dagster-io/dagster",
		87	+ "license_url": "https://github.com/dagster-io/dagster/blob/master/LICENSE",
		88	+ "pricing_url": "https://dagster.io/pricing",
		89	+ "pricing_checked_at": "2026-11-02",
		90	+ "product_type": "platform",
		91	+ "product_status": "active",
		92	+ "summary": "Asset-oriented Python orchestrator that models pipelines as software-defined data assets with lineage, checks and a hosted Dagster+ option",
		93	+ "description": "Dagster is an open-source orchestrator from Dagster Labs, released under Apache 2.0, that organizes pipelines around software-defined assets: Python functions declare the tables, files or models they produce and the upstream assets they depend on, and Dagster derives the execution graph, lineage, freshness policies and partitioning from those declarations. Asset checks attach data-quality tests, sensors and schedules trigger materializations, and the web UI shows the asset catalog alongside run history. Integrations include dbt (each dbt model becomes an asset), Spark, DuckDB, Snowflake, BigQuery, pandas and Polars I/O managers, and Kubernetes or Celery execution. A local development mode runs the full UI from one command, which makes it approachable for individuals.\n\nDagster+ is the managed control plane with serverless or hybrid agents, plus a free tier and usage-based paid plans. The asset model is a different mental model from Airflow's tasks and pays off most when pipelines produce persistent datasets; purely procedural jobs can feel forced into it, and the framework's rapid API evolution has required code updates between versions.",
		94	+ "capabilities": [
		95	+ "Software-defined assets with declarative dependencies and partitions",
		96	+ "Asset checks for data quality",
		97	+ "Schedules, sensors and freshness policies",
		98	+ "dbt integration mapping models to assets",
		99	+ "I/O managers for Parquet, DuckDB, warehouses and DataFrames",
		100	+ "Local UI and hosted Dagster+ control plane"
		101	+ ],
		102	+ "categories": [
		103	+ {
		104	+ "slug": "etl-elt",
		105	+ "primary": true
		106	+ }
		107	+ ],
		108	+ "execution_modes": [
		109	+ "local",
		110	+ "self-hosted",
		111	+ "cloud"
		112	+ ],
		113	+ "interfaces": [
		114	+ "web",
		115	+ "cli",
		116	+ "library",
		117	+ "api"
		118	+ ],
		119	+ "source_model": "open-source",
		120	+ "license_spdx": "Apache-2.0",
		121	+ "pricing_model": [
		122	+ "open-source",
		123	+ "freemium",
		124	+ "usage-based",
		125	+ "enterprise"
		126	+ ],
		127	+ "sources": [
		128	+ {
		129	+ "url": "https://dagster.io/",
		130	+ "type": "official_site",
		131	+ "supports": [
		132	+ "name",
		133	+ "summary"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "Dagster"
		137	+ },
		138	+ {
		139	+ "url": "https://docs.dagster.io/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "capabilities",
		143	+ "integrations"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Dagster documentation"
		147	+ },
		148	+ {
		149	+ "url": "https://github.com/dagster-io/dagster/blob/master/LICENSE",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "license_spdx",
		153	+ "source_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Dagster LICENSE (Apache 2.0)"
		157	+ },
		158	+ {
		159	+ "url": "https://dagster.io/pricing",
		160	+ "type": "pricing_page",
		161	+ "supports": [
		162	+ "pricing_model"
		163	+ ],
		164	+ "checked_at": "2026-11-02",
		165	+ "title": "Dagster+ pricing"
		166	+ },
		167	+ {
		168	+ "url": "https://github.com/dagster-io/dagster",
		169	+ "type": "repository",
		170	+ "supports": [
		171	+ "repo_url"
		172	+ ],
		173	+ "checked_at": "2026-11-02",
		174	+ "title": "dagster-io/dagster"
		175	+ }
		176	+ ],
		177	+ "confidence": "high"
		178	+}

added content/tools/dask.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "dask",
		3	+ "name": "Dask",
		4	+ "aliases": ["dask.distributed"],
		5	+ "vendor": { "name": "Dask developers (open-source community)", "slug": "dask", "website": "https://www.dask.org/" },
		6	+ "homepage_url": "https://www.dask.org/",
		7	+ "docs_url": "https://docs.dask.org/en/stable/",
		8	+ "repo_url": "https://github.com/dask/dask",
		9	+ "license_url": "https://github.com/dask/dask/blob/main/LICENSE.txt",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python library for parallel and distributed computing that scales pandas, NumPy and custom task graphs from a laptop to a cluster",
		13	+ "description": "Dask is an open-source Python library (BSD-3-Clause) for parallel computing that grew out of the PyData ecosystem. It offers parallel versions of familiar collections: Dask DataFrame partitions a pandas DataFrame across many pandas objects, Dask Array does the same for NumPy, Dask Bag handles unstructured records, and Delayed and Futures let arbitrary Python functions be composed into task graphs. A scheduler executes those graphs with threads or processes on one machine, or across a cluster through the distributed scheduler.\n\nDeployment options cover a local cluster in a Python session, HPC job queues such as Slurm, PBS and LSF via Dask-Jobqueue, Kubernetes via the Dask operator, and commercial cloud hosting through Coiled. Xarray, the labeled-array library widely used in climate and geoscience, is a major consumer of Dask arrays.\n\nDask suits analysts who already use pandas and NumPy and need larger-than-memory or multi-node execution with minimal code changes. Limits: DataFrame operations that need shuffles can be slow, not every pandas API is implemented, and debugging distributed task graphs takes practice.",
		14	+ "capabilities": ["Parallel DataFrame and Array collections mirroring pandas and NumPy", "Delayed and Futures for custom task graphs", "Single-machine and distributed schedulers", "Deployment on HPC job queues, Kubernetes and cloud", "Diagnostic dashboard for tasks and memory"],
		15	+ "workflows": ["Process a Parquet dataset larger than RAM with pandas syntax", "Fan a loop of simulations across a cluster with Delayed", "Run Dask workers inside a Slurm allocation"],
		16	+ "advantages": ["Familiar APIs for pandas and NumPy users", "Scales from one laptop to many nodes", "Permissive license and mature ecosystem"],
		17	+ "limitations": ["Shuffle-heavy operations can be slow", "Partial coverage of the pandas API", "Distributed debugging is non-trivial"],
		18	+ "prerequisites": ["Python 3.10 or newer"],
		19	+ "audiences": ["Data scientists outgrowing pandas", "Scientific computing groups on HPC clusters"],
		20	+ "alternatives": ["ray", "apache-spark", "polars", "pandas"],
		21	+ "categories": [{ "slug": "distributed-computing", "primary": true }, { "slug": "dataframes-arrays" }],
		22	+ "tags": ["python", "distributed-computing", "open-source", "parquet", "dataframes"],
		23	+ "use_cases": ["distribute-computation", "query-parquet-files"],
		24	+ "operating_systems": ["linux", "macos", "windows"],
		25	+ "execution_modes": ["local", "self-hosted", "cloud"],
		26	+ "interfaces": ["library", "web"],
		27	+ "deployment_models": ["on-premises", "managed-cloud"],
		28	+ "integrations": ["pandas", "NumPy", "Xarray", "Slurm (Dask-Jobqueue)", "Kubernetes", "Coiled"],
		29	+ "data_formats": ["Parquet", "CSV", "HDF5", "Zarr", "JSON"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "BSD-3-Clause",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.dask.org/", "type": "official_site", "title": "Dask", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.dask.org/en/stable/", "type": "official_docs", "title": "Dask documentation", "supports": ["capabilities", "integrations", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/dask/dask/blob/main/LICENSE.txt", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/databento.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "databento",
		3	+ "name": "Databento",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Databento, Inc.", "slug": "databento", "website": "https://databento.com" },
		6	+ "homepage_url": "https://databento.com/",
		7	+ "docs_url": "https://databento.com/docs",
		8	+ "repo_url": "https://github.com/databento/databento-python",
		9	+ "pricing_url": "https://databento.com/pricing",
		10	+ "product_type": "api-service",
		11	+ "product_status": "active",
		12	+ "summary": "Usage-priced market data platform with normalized order-book (MBO/MBP), trades, OHLCV and reference schemas for futures, options and equities, delivered via historical, live and batch APIs in the DBN format",
		13	+ "description": "Databento is a market data vendor built around a single normalized data model. Every dataset, whether CME Group futures and options, OPRA equity options, Nasdaq TotalView-ITCH, Eurex, ICE or Databento's own consolidated US equities feed, is published in the same set of schemas: market-by-order (full L3 book), market-by-price at one or ten levels, trades, top-of-book, OHLCV bars from one second to daily, statistics, instrument definitions, imbalances, status, and reference data such as corporate actions, adjustment factors and a security master. Data are encoded in Databento Binary Encoding (DBN), an open, Zstandard-compressed format with Apache-2.0 decoders, and can be converted to CSV, JSON or Parquet.\n\nThree APIs share the model: a Historical API with time-series range requests, batch downloads, symbology resolution and cost estimation; a Live API that streams real-time data with intraday replay and snapshots; and a Reference API for corporate actions and security master. Official clients exist for Python, C++ and Rust alongside raw HTTP and TCP interfaces.\n\nPricing is unusual among vendors: historical data are pay-as-you-go metered by data volume, with signup credits, optional flat-rate subscriptions for individuals and teams, and annual institutional tiers. Live data require a venue licence; Databento acts as vendor of record, passes exchange fees through without markup and distinguishes display from non-display and internal from external use, with redistribution of real-time and intraday data governed per venue. Historical bars for research can therefore be bought incrementally, but order-book-scale downloads for many symbols and years become costly, the catalog is concentrated on US and European derivatives and US equities, and the DBN toolchain is a learning step compared with plain CSV.",
		14	+ "capabilities": ["Normalized schemas: MBO, MBP-1, MBP-10, trades, TBBO, OHLCV, statistics, definitions", "Historical API with range requests, batch downloads and cost estimates", "Live streaming API with intraday replay and snapshots", "Reference API for corporate actions, adjustment factors and security master", "DBN open binary encoding with CSV, JSON and Parquet conversion", "Official Python, C++ and Rust clients plus raw HTTP/TCP", "Venues: CME Group, OPRA, Nasdaq ITCH, Eurex, ICE, Databento US Equities", "Vendor-of-record licensing for live data"],
		15	+ "workflows": ["Reconstructing the limit order book from MBO data for microstructure research", "Minute bars for a universe of futures bought incrementally by volume", "Live replay of a trading session for strategy testing", "Converting DBN files to Parquet for DuckDB analysis"],
		16	+ "advantages": ["One schema set across all venues", "Pay-for-what-you-use historical pricing", "Open DBN format and open-source clients", "Full-depth order-book data"],
		17	+ "limitations": ["Order-book downloads at scale are expensive", "Live data need venue licences and fee pass-through", "Coverage concentrated on US/European derivatives and US equities", "DBN tooling has a learning curve versus CSV"],
		18	+ "prerequisites": ["Account and API key", "Python, C++ or Rust client or HTTP"],
		19	+ "audiences": ["Market-microstructure researchers", "Systematic traders needing order-book data", "Data engineers building tick databases"],
		20	+ "alternatives": ["polygon-io", "firstrate-data", "wrds", "interactive-brokers-api", "bloomberg-terminal"],
		21	+ "comparison_notes": "Massive (formerly Polygon.io) sells subscription API access centred on US equities and options with flat files; FirstRate Data sells perpetual-licence CSV bundles without order-book depth; WRDS provides TAQ to subscribing institutions through SQL. Databento's distinguishing features are metered pricing, L3 order-book schemas and the open DBN format.",
		22	+ "categories": [{ "slug": "market-data-apis", "primary": true }, { "slug": "hf-finance-research" }],
		23	+ "tags": ["market-data", "order-book", "time-series", "api", "futures", "options", "parquet"],
		24	+ "use_cases": ["analyze-intraday-data", "access-market-data", "query-parquet-files"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["api", "sdk", "web"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["Python client", "C++ client", "Rust client", "pandas", "Parquet", "Zstandard"],
		30	+ "data_formats": ["DBN", "CSV", "JSON", "Parquet"],
		31	+ "languages": ["Python", "C++", "Rust"],
		32	+ "source_model": "mixed",
		33	+ "pricing_model": ["usage-based", "paid", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://databento.com/", "type": "official_site", "title": "Databento", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://databento.com/docs", "type": "official_docs", "title": "Databento API documentation", "supports": ["capabilities", "data_formats", "languages", "interfaces"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://databento.com/pricing", "type": "pricing_page", "title": "Databento pricing", "supports": ["pricing_model", "description", "capabilities"], "checked_at": "2026-11-02", "note": "Usage-based historical pricing, subscriptions, exchange fee pass-through" },
		40	+ { "url": "https://databento.com/docs/portal/live-data", "type": "policy_page", "title": "Live data licensing", "supports": ["limitations", "description"], "checked_at": "2026-11-02", "note": "Display vs non-display, internal vs external use, vendor of record" },
		41	+ { "url": "https://github.com/databento/databento-python", "type": "repository", "title": "databento/databento-python", "supports": ["repo_url", "source_model"], "checked_at": "2026-11-02", "note": "Apache-2.0 client library; the data service itself is proprietary" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "uncertainty_note": "The legal terms page renders client-side and could not be read by automated tools; licensing statements are taken from the pricing page and the live-data documentation. source_model 'mixed' reflects open-source clients and DBN decoders around a proprietary service.",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-E"
		51	+}

added content/tools/dbt.json +217 −0

				@@ -0,0 +1,217 @@
		1	+{
		2	+ "aliases": [
		3	+ "dbt Core",
		4	+ "data build tool",
		5	+ "dbt Fusion engine",
		6	+ "dbt platform (dbt Cloud)"
		7	+ ],
		8	+ "workflows": [
		9	+ "Model a warehouse from raw loaded tables to marts",
		10	+ "Local development against DuckDB, then deploy to a warehouse",
		11	+ "Schedule dbt runs from Airflow, Dagster or Prefect",
		12	+ "Enforce data tests in CI before merging model changes"
		13	+ ],
		14	+ "advantages": [
		15	+ "Software-engineering practices (version control, tests, docs) for SQL",
		16	+ "Large community, packages and adapter ecosystem",
		17	+ "Apache 2.0 Core runs anywhere",
		18	+ "Runs on the warehouse's own compute"
		19	+ ],
		20	+ "limitations": [
		21	+ "Transformation only; extraction and loading need other tools",
		22	+ "Primarily SQL; Python models limited to certain platforms",
		23	+ "Core v1 to v2 and Fusion transition in progress",
		24	+ "Advanced collaboration features are in the paid platform"
		25	+ ],
		26	+ "prerequisites": [
		27	+ "A supported warehouse or database and credentials",
		28	+ "Python for dbt Core v1, or the Fusion/Core v2 binary"
		29	+ ],
		30	+ "audiences": [
		31	+ "Analytics engineers",
		32	+ "Data teams building warehouse models"
		33	+ ],
		34	+ "alternatives": [
		35	+ "apache-airflow",
		36	+ "dagster",
		37	+ "prefect",
		38	+ "duckdb",
		39	+ "apache-spark"
		40	+ ],
		41	+ "tags": [
		42	+ "sql",
		43	+ "elt",
		44	+ "analytics-engineering",
		45	+ "open-source",
		46	+ "cli",
		47	+ "python",
		48	+ "rust"
		49	+ ],
		50	+ "use_cases": [
		51	+ "transform-data",
		52	+ "test-data-pipelines"
		53	+ ],
		54	+ "operating_systems": [
		55	+ "macos",
		56	+ "linux",
		57	+ "windows"
		58	+ ],
		59	+ "deployment_models": [
		60	+ "on-premises",
		61	+ "saas"
		62	+ ],
		63	+ "integrations": [
		64	+ "Snowflake",
		65	+ "BigQuery",
		66	+ "Databricks",
		67	+ "Amazon Redshift",
		68	+ "PostgreSQL",
		69	+ "DuckDB",
		70	+ "ClickHouse",
		71	+ "Apache Airflow",
		72	+ "Dagster",
		73	+ "Prefect",
		74	+ "Fivetran"
		75	+ ],
		76	+ "data_formats": [
		77	+ "SQL",
		78	+ "YAML",
		79	+ "CSV seeds",
		80	+ "JSON artifacts",
		81	+ "Parquet artifacts (v2)"
		82	+ ],
		83	+ "languages": [
		84	+ "SQL",
		85	+ "Jinja",
		86	+ "Python",
		87	+ "Rust"
		88	+ ],
		89	+ "self_hostable": true,
		90	+ "discovery_method": "editorial-research",
		91	+ "depth": "deep",
		92	+ "editorial_status": "reviewed",
		93	+ "visibility": "public",
		94	+ "featured": false,
		95	+ "author": "batch-D",
		96	+ "slug": "dbt",
		97	+ "name": "dbt",
		98	+ "vendor": {
		99	+ "name": "dbt Labs (Fivetran + dbt Labs)",
		100	+ "slug": "dbt-labs",
		101	+ "website": "https://www.getdbt.com/"
		102	+ },
		103	+ "homepage_url": "https://www.getdbt.com/",
		104	+ "docs_url": "https://docs.getdbt.com/",
		105	+ "repo_url": "https://github.com/dbt-labs/dbt",
		106	+ "license_url": "https://github.com/dbt-labs/dbt/blob/main/LICENSE",
		107	+ "pricing_url": "https://www.getdbt.com/pricing",
		108	+ "pricing_checked_at": "2026-11-02",
		109	+ "product_type": "framework",
		110	+ "product_status": "active",
		111	+ "summary": "SQL-first transformation framework that compiles templated models, tests and documentation into warehouse tables; open-source Core plus a commercial platform",
		112	+ "description": "dbt (data build tool) is a transformation framework from dbt Labs in which analysts write SELECT statements as versioned models, and the tool compiles them with Jinja templating, resolves dependencies into a DAG, materializes tables, views or incremental tables in the target warehouse, and runs schema and data tests alongside generated documentation and lineage. It performs the T of ELT: data already loaded into Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, DuckDB or ClickHouse is reshaped in place through adapters, and dbt itself holds no data.\n\ndbt Core is the open-source command-line tool under Apache 2.0. In 2025 dbt Labs introduced the Rust-based dbt Fusion engine, and in June 2026 announced dbt Core v2 as an alpha built on the same open-sourced foundations, with the dbt-core repository (now github.com/dbt-labs/dbt) as the canonical home and the Fusion binary distributed free with some proprietary components. The company completed its merger with Fivetran on 1 June 2026. The commercial dbt platform (formerly dbt Cloud) adds a hosted IDE, scheduling, CI, a semantic layer and the Catalog, with free developer, team and enterprise plans.\n\ndbt is the de facto standard for modeling layers in analytics engineering and pairs naturally with Airflow, Dagster or Prefect for orchestration and with DuckDB for local development. Limitations: it is SQL-centric (Python models exist only on some warehouses), it does not move data, large projects can have long parse and run times on v1, and the fast-moving Core v1/v2 and Fusion transition means teams must track which engine and adapter versions they run.",
		113	+ "capabilities": [
		114	+ "SQL models with Jinja templating and ref() dependency resolution",
		115	+ "Materializations: table, view, incremental, snapshot, seed",
		116	+ "Schema and data tests, unit tests and source freshness checks",
		117	+ "Generated documentation and lineage graph",
		118	+ "Adapters for Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, DuckDB, ClickHouse and more",
		119	+ "Packages, macros and semantic-layer metrics",
		120	+ "Hosted scheduling, IDE and CI in the dbt platform"
		121	+ ],
		122	+ "comparison_notes": "Airflow, Dagster and Prefect are orchestrators that schedule and monitor pipelines, including dbt runs; dbt itself only defines and executes transformations inside the warehouse. Spark is a general compute engine that can perform the same transformations in code rather than templated SQL. DuckDB is a frequent local target for dbt projects. Dagster in particular models dbt assets natively.",
		123	+ "categories": [
		124	+ {
		125	+ "slug": "etl-elt",
		126	+ "primary": true
		127	+ },
		128	+ {
		129	+ "slug": "analytics-engines"
		130	+ }
		131	+ ],
		132	+ "execution_modes": [
		133	+ "local",
		134	+ "self-hosted",
		135	+ "cloud"
		136	+ ],
		137	+ "interfaces": [
		138	+ "cli",
		139	+ "web",
		140	+ "api"
		141	+ ],
		142	+ "source_model": "mixed",
		143	+ "license_spdx": "Apache-2.0",
		144	+ "pricing_model": [
		145	+ "open-source",
		146	+ "freemium",
		147	+ "paid",
		148	+ "enterprise"
		149	+ ],
		150	+ "sources": [
		151	+ {
		152	+ "url": "https://www.getdbt.com/",
		153	+ "type": "official_site",
		154	+ "supports": [
		155	+ "name",
		156	+ "summary",
		157	+ "vendor"
		158	+ ],
		159	+ "checked_at": "2026-11-02",
		160	+ "title": "dbt Labs"
		161	+ },
		162	+ {
		163	+ "url": "https://docs.getdbt.com/",
		164	+ "type": "official_docs",
		165	+ "supports": [
		166	+ "capabilities",
		167	+ "integrations"
		168	+ ],
		169	+ "checked_at": "2026-11-02",
		170	+ "title": "dbt Developer Hub"
		171	+ },
		172	+ {
		173	+ "url": "https://docs.getdbt.com/blog/dbt-core-v2-is-here",
		174	+ "type": "release_notes",
		175	+ "supports": [
		176	+ "product_status",
		177	+ "license_spdx",
		178	+ "repo_url",
		179	+ "vendor"
		180	+ ],
		181	+ "checked_at": "2026-11-02",
		182	+ "title": "dbt Core v2 is here (June 2026)",
		183	+ "note": "States Core v2 is Apache 2.0 in the dbt-core repository and refers to the combined Fivetran + dbt Labs team"
		184	+ },
		185	+ {
		186	+ "url": "https://github.com/dbt-labs/dbt/blob/main/LICENSE",
		187	+ "type": "license_page",
		188	+ "supports": [
		189	+ "license_spdx",
		190	+ "source_model"
		191	+ ],
		192	+ "checked_at": "2026-11-02",
		193	+ "title": "dbt LICENSE (Apache 2.0)",
		194	+ "note": "github.com/dbt-labs/dbt-core redirects to this repository"
		195	+ },
		196	+ {
		197	+ "url": "https://www.getdbt.com/pricing",
		198	+ "type": "pricing_page",
		199	+ "supports": [
		200	+ "pricing_model"
		201	+ ],
		202	+ "checked_at": "2026-11-02",
		203	+ "title": "dbt pricing"
		204	+ },
		205	+ {
		206	+ "url": "https://www.fivetran.com/press/fivetran-dbt-labs-complete-merger-to-create-the-data-infrastructure-for-trusted-ai-agents",
		207	+ "type": "news",
		208	+ "supports": [
		209	+ "vendor"
		210	+ ],
		211	+ "checked_at": "2026-11-02",
		212	+ "title": "Fivetran and dbt Labs complete merger (press release)"
		213	+ }
		214	+ ],
		215	+ "confidence": "high",
		216	+ "uncertainty_note": "Fusion engine licensing for its proprietary components was not reviewed in detail; license_spdx applies to dbt Core."
		217	+}

added content/tools/delta-lake.json +169 −0

				@@ -0,0 +1,169 @@
		1	+{
		2	+ "aliases": [
		3	+ "delta-rs",
		4	+ "deltalake"
		5	+ ],
		6	+ "workflows": [
		7	+ "Incremental ETL with merges on Databricks or Spark",
		8	+ "Transactional Parquet writes from Python with deltalake",
		9	+ "Reading lake tables from Polars or DuckDB"
		10	+ ],
		11	+ "advantages": [
		12	+ "Simple log-based design on plain object storage",
		13	+ "Mature Spark integration",
		14	+ "Lightweight Rust and Python access"
		15	+ ],
		16	+ "limitations": [
		17	+ "Feature set advances first on Databricks",
		18	+ "Protocol versions must be supported by each reader",
		19	+ "Catalog integration less standardized than Iceberg's REST catalog"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "Object or file storage plus Spark or the deltalake Python package"
		23	+ ],
		24	+ "audiences": [
		25	+ "Spark and Databricks users",
		26	+ "Python data engineers needing transactional Parquet"
		27	+ ],
		28	+ "alternatives": [
		29	+ "apache-iceberg",
		30	+ "apache-parquet",
		31	+ "apache-spark",
		32	+ "duckdb"
		33	+ ],
		34	+ "tags": [
		35	+ "lakehouse",
		36	+ "table-format",
		37	+ "parquet",
		38	+ "open-source",
		39	+ "rust",
		40	+ "python"
		41	+ ],
		42	+ "use_cases": [
		43	+ "query-parquet-files",
		44	+ "govern-lake-data"
		45	+ ],
		46	+ "operating_systems": [
		47	+ "any"
		48	+ ],
		49	+ "deployment_models": [
		50	+ "on-premises",
		51	+ "managed-cloud",
		52	+ "embedded"
		53	+ ],
		54	+ "integrations": [
		55	+ "Apache Spark",
		56	+ "Databricks",
		57	+ "Polars",
		58	+ "DuckDB",
		59	+ "Trino",
		60	+ "Apache Flink",
		61	+ "pandas"
		62	+ ],
		63	+ "data_formats": [
		64	+ "Parquet",
		65	+ "Delta transaction log (JSON, checkpoints)"
		66	+ ],
		67	+ "languages": [
		68	+ "Scala",
		69	+ "Java",
		70	+ "Rust",
		71	+ "Python"
		72	+ ],
		73	+ "self_hostable": true,
		74	+ "discovery_method": "editorial-research",
		75	+ "depth": "standard",
		76	+ "editorial_status": "reviewed",
		77	+ "visibility": "public",
		78	+ "featured": false,
		79	+ "author": "batch-D",
		80	+ "slug": "delta-lake",
		81	+ "name": "Delta Lake",
		82	+ "vendor": {
		83	+ "name": "Delta Lake project (Linux Foundation; created by Databricks)",
		84	+ "slug": "delta-lake-project",
		85	+ "website": "https://delta.io/"
		86	+ },
		87	+ "homepage_url": "https://delta.io/",
		88	+ "docs_url": "https://docs.delta.io/",
		89	+ "repo_url": "https://github.com/delta-io/delta",
		90	+ "license_url": "https://github.com/delta-io/delta/blob/master/LICENSE.txt",
		91	+ "product_type": "specification",
		92	+ "product_status": "active",
		93	+ "summary": "Open table format with a transaction log over Parquet files, created by Databricks and hosted by the Linux Foundation, with Spark, Rust and Python implementations",
		94	+ "description": "Delta Lake is an open-source table format that layers an ordered transaction log (the _delta_log directory of JSON and checkpoint files) over Parquet data files to provide ACID transactions, schema enforcement and evolution, time travel and efficient upserts and deletes on object storage. It was created by Databricks, is hosted by the Linux Foundation under the Apache 2.0 license, and is the native table format of the Databricks platform, where most of its advanced features first appear. Besides the Spark connector, the delta-rs Rust library and its Python package deltalake allow reading and writing tables without a JVM, and Delta Kernel provides a connector library for other engines. Polars, DuckDB, Trino, Flink, pandas (via deltalake) and several warehouses read Delta tables; UniForm can expose a Delta table with Iceberg-compatible metadata.\n\nDelta Lake suits teams on Databricks or Spark who need reliable incremental pipelines over a lake, and Python users who want transactional writes to Parquet from a laptop through delta-rs. Compared with Iceberg, governance of the project remains closely tied to one vendor, catalog integration is less standardized, and some features depend on the engine implementing the corresponding protocol version.",
		95	+ "capabilities": [
		96	+ "Transaction log providing ACID commits over Parquet",
		97	+ "Schema enforcement and evolution",
		98	+ "Time travel and table history",
		99	+ "MERGE, UPDATE and DELETE operations",
		100	+ "delta-rs Rust/Python implementation without a JVM",
		101	+ "UniForm metadata for Iceberg readers"
		102	+ ],
		103	+ "categories": [
		104	+ {
		105	+ "slug": "data-catalogs",
		106	+ "primary": true
		107	+ },
		108	+ {
		109	+ "slug": "analytics-engines"
		110	+ }
		111	+ ],
		112	+ "execution_modes": [
		113	+ "self-hosted",
		114	+ "cloud",
		115	+ "local"
		116	+ ],
		117	+ "interfaces": [
		118	+ "library"
		119	+ ],
		120	+ "source_model": "open-source",
		121	+ "license_spdx": "Apache-2.0",
		122	+ "pricing_model": [
		123	+ "open-source",
		124	+ "free"
		125	+ ],
		126	+ "sources": [
		127	+ {
		128	+ "url": "https://delta.io/",
		129	+ "type": "official_site",
		130	+ "supports": [
		131	+ "name",
		132	+ "summary",
		133	+ "vendor"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "Delta Lake"
		137	+ },
		138	+ {
		139	+ "url": "https://docs.delta.io/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "capabilities",
		143	+ "integrations"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Delta Lake documentation"
		147	+ },
		148	+ {
		149	+ "url": "https://github.com/delta-io/delta/blob/master/LICENSE.txt",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "license_spdx",
		153	+ "source_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Delta Lake LICENSE.txt (Apache 2.0)"
		157	+ },
		158	+ {
		159	+ "url": "https://github.com/delta-io/delta",
		160	+ "type": "repository",
		161	+ "supports": [
		162	+ "repo_url"
		163	+ ],
		164	+ "checked_at": "2026-11-02",
		165	+ "title": "delta-io/delta"
		166	+ }
		167	+ ],
		168	+ "confidence": "high"
		169	+}

added content/tools/deno.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "deno",
		3	+ "name": "Deno",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Deno Land", "slug": "deno-land", "website": "https://deno.com" },
		6	+ "homepage_url": "https://deno.com/",
		7	+ "docs_url": "https://docs.deno.com/runtime/",
		8	+ "repo_url": "https://github.com/denoland/deno",
		9	+ "license_url": "https://github.com/denoland/deno/blob/main/LICENSE.md",
		10	+ "pricing_url": "https://deno.com/deploy/pricing",
		11	+ "product_type": "language",
		12	+ "product_status": "active",
		13	+ "summary": "Secure-by-default JavaScript and TypeScript runtime from Deno Land with web-standard APIs, built-in tooling and an optional hosted Deploy service",
		14	+ "description": "Deno is a JavaScript and TypeScript runtime created by Node.js author Ryan Dahl and developed by Deno Land. It runs on V8 with a Rust core, executes TypeScript natively, and restricts file, network and environment access unless permissions are granted on the command line. The binary bundles a formatter, linter, test runner, documentation generator and a compiler that produces standalone executables.\n\nDeno favors web-standard APIs (`fetch`, Web Streams, Web Crypto) so code can move between browser, server and edge environments, and since version 2 it supports npm packages and most Node.js APIs for compatibility. Deno Land also operates Deno Deploy, a hosted edge platform, and the JSR package registry. The runtime is free and MIT-licensed; Deploy is a commercial service with a free tier. Limitations include a smaller ecosystem of Deno-first libraries, occasional gaps in Node compatibility, and permission flags that add friction for scripts expecting unrestricted access.",
		15	+ "capabilities": ["TypeScript execution without configuration", "Permission model for file, network and environment access", "Built-in formatter, linter, test runner and doc generator", "npm and Node.js compatibility layer", "Compile scripts to standalone executables", "JSR package registry integration"],
		16	+ "workflows": ["Write a TypeScript script with explicit permissions and run it as a cron job", "Deploy an edge function to Deno Deploy", "Compile a CLI into a single executable for distribution"],
		17	+ "advantages": ["Security-oriented defaults", "Web-standard APIs shared with browsers", "Tooling bundled in one binary"],
		18	+ "limitations": ["Smaller Deno-first ecosystem than npm", "Node compatibility is good but not exhaustive", "Deploy is a proprietary hosted service"],
		19	+ "prerequisites": ["macOS, Linux or Windows; install script, Homebrew or Cargo"],
		20	+ "audiences": ["TypeScript developers", "Teams building edge or serverless functions", "Developers who value sandboxed scripting"],
		21	+ "alternatives": ["nodejs", "bun"],
		22	+ "comparison_notes": "Node.js has the broadest package compatibility and the longest track record; Deno trades some of that for a permission model and web-standard APIs. Bun shares Deno's goal of a batteries-included runtime but prioritizes Node compatibility and raw speed over sandboxing.",
		23	+ "categories": [{ "slug": "programming-languages", "primary": true }],
		24	+ "tags": ["javascript", "typescript", "open-source", "cli", "runtime", "rust"],
		25	+ "use_cases": ["build-web-apps", "host-web-apps"],
		26	+ "operating_systems": ["macos", "linux", "windows"],
		27	+ "execution_modes": ["local", "self-hosted", "cloud"],
		28	+ "interfaces": ["cli", "library"],
		29	+ "deployment_models": ["desktop", "on-premises", "managed-cloud"],
		30	+ "integrations": ["npm registry", "JSR", "Deno Deploy", "Hono", "VS Code"],
		31	+ "data_formats": ["JSON", "deno.json", "TypeScript"],
		32	+ "languages": ["Rust", "JavaScript", "TypeScript"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "freemium"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://deno.com/", "type": "official_site", "title": "Deno", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.deno.com/runtime/", "type": "official_docs", "title": "Deno Runtime documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/denoland/deno/blob/main/LICENSE.md", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://deno.com/deploy/pricing", "type": "pricing_page", "title": "Deno Deploy pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/discord.json +148 −0

				@@ -0,0 +1,148 @@
		1	+{
		2	+ "slug": "discord",
		3	+ "name": "Discord",
		4	+ "aliases": [],
		5	+ "vendor": {
		6	+ "name": "Discord Inc.",
		7	+ "slug": "discord",
		8	+ "website": "https://discord.com"
		9	+ },
		10	+ "homepage_url": "https://discord.com/",
		11	+ "docs_url": "https://docs.discord.com/developers/intro",
		12	+ "pricing_url": "https://discord.com/nitro",
		13	+ "privacy_url": "https://discord.com/privacy",
		14	+ "product_type": "platform",
		15	+ "product_status": "active",
		16	+ "summary": "Community chat platform with servers, text and voice channels, video, forums and a bot API, free to use with optional Nitro subscriptions",
		17	+ "description": "Discord is a communication platform from Discord Inc. organised into servers that contain text, voice, video, stage and forum channels, with roles and permissions, threads, reactions and rich media. Originally built for gaming communities, it now hosts open-source projects, research groups, classrooms and product communities because servers are free to create and scale to very large memberships. The developer platform provides a REST and gateway API, slash commands, interactive components, webhooks and OAuth2, and bots are a core part of most servers for moderation, notifications and integrations. Revenue comes from Nitro subscriptions and server boosts that unlock larger uploads and higher-quality streaming, with the base product free. It is cloud-only, has no self-hosted option, offers fewer compliance and administrative controls than enterprise chat tools, and its consumer orientation can make it a poor fit for regulated workplaces.",
		18	+ "capabilities": [
		19	+ "Servers with text, voice, video, stage and forum channels",
		20	+ "Roles, permissions and moderation tools",
		21	+ "Bot API with slash commands, components and webhooks",
		22	+ "Screen sharing and low-latency voice",
		23	+ "Threads and searchable history",
		24	+ "OAuth2 for account linking"
		25	+ ],
		26	+ "workflows": [
		27	+ "Run a community support server with bot-based moderation",
		28	+ "Post cluster or CI alerts through webhooks into a channel"
		29	+ ],
		30	+ "advantages": [
		31	+ "Free for unlimited members and history",
		32	+ "Well-documented bot API",
		33	+ "Strong voice features"
		34	+ ],
		35	+ "limitations": [
		36	+ "Cloud-only; no self-hosting",
		37	+ "Limited enterprise compliance and admin controls",
		38	+ "Consumer-oriented branding and features"
		39	+ ],
		40	+ "prerequisites": [
		41	+ "Discord account"
		42	+ ],
		43	+ "audiences": [
		44	+ "Open-source and research communities",
		45	+ "Educators running informal classrooms",
		46	+ "Developers building bots"
		47	+ ],
		48	+ "alternatives": [
		49	+ "slack",
		50	+ "microsoft-teams",
		51	+ "zoom"
		52	+ ],
		53	+ "comparison_notes": "Slack and Microsoft Teams target workplaces with paid tiers, compliance tooling and business integrations; Discord is free, community-oriented and stronger at persistent voice rooms. Zoom is meeting-first rather than channel-based.",
		54	+ "categories": [
		55	+ {
		56	+ "slug": "collaboration-communication",
		57	+ "primary": true
		58	+ }
		59	+ ],
		60	+ "tags": [
		61	+ "chat",
		62	+ "voice",
		63	+ "community",
		64	+ "bots",
		65	+ "api",
		66	+ "saas"
		67	+ ],
		68	+ "use_cases": [
		69	+ "collaborate",
		70	+ "build-agents"
		71	+ ],
		72	+ "operating_systems": [
		73	+ "web",
		74	+ "macos",
		75	+ "windows",
		76	+ "linux",
		77	+ "ios",
		78	+ "android"
		79	+ ],
		80	+ "execution_modes": [
		81	+ "cloud"
		82	+ ],
		83	+ "interfaces": [
		84	+ "web",
		85	+ "desktop",
		86	+ "mobile",
		87	+ "api"
		88	+ ],
		89	+ "deployment_models": [
		90	+ "saas"
		91	+ ],
		92	+ "integrations": [
		93	+ "GitHub (webhooks)",
		94	+ "YouTube",
		95	+ "Twitch",
		96	+ "Spotify",
		97	+ "Zapier"
		98	+ ],
		99	+ "data_formats": [
		100	+ "JSON (API)"
		101	+ ],
		102	+ "languages": [],
		103	+ "source_model": "proprietary",
		104	+ "pricing_model": [
		105	+ "freemium",
		106	+ "paid"
		107	+ ],
		108	+ "pricing_checked_at": "2026-11-02",
		109	+ "self_hostable": false,
		110	+ "sources": [
		111	+ {
		112	+ "url": "https://discord.com/",
		113	+ "type": "official_site",
		114	+ "supports": [
		115	+ "name",
		116	+ "summary"
		117	+ ],
		118	+ "checked_at": "2026-11-02",
		119	+ "title": "Discord"
		120	+ },
		121	+ {
		122	+ "url": "https://docs.discord.com/developers/intro",
		123	+ "type": "official_docs",
		124	+ "supports": [
		125	+ "capabilities",
		126	+ "interfaces"
		127	+ ],
		128	+ "checked_at": "2026-11-02",
		129	+ "title": "Discord Developer Portal — Intro"
		130	+ },
		131	+ {
		132	+ "url": "https://discord.com/nitro",
		133	+ "type": "pricing_page",
		134	+ "supports": [
		135	+ "pricing_model"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "Discord Nitro"
		139	+ }
		140	+ ],
		141	+ "confidence": "high",
		142	+ "depth": "standard",
		143	+ "featured": false,
		144	+ "discovery_method": "editorial-research",
		145	+ "editorial_status": "reviewed",
		146	+ "visibility": "public",
		147	+ "author": "batch-F"
		148	+}

added content/tools/docker.json +53 −0

				@@ -0,0 +1,53 @@
		1	+{
		2	+ "slug": "docker",
		3	+ "name": "Docker",
		4	+ "aliases": ["Docker Engine", "Docker Desktop", "Moby"],
		5	+ "vendor": { "name": "Docker, Inc.", "slug": "docker-inc", "website": "https://www.docker.com" },
		6	+ "homepage_url": "https://www.docker.com/",
		7	+ "docs_url": "https://docs.docker.com/",
		8	+ "repo_url": "https://github.com/moby/moby",
		9	+ "pricing_url": "https://www.docker.com/pricing/",
		10	+ "license_url": "https://github.com/moby/moby/blob/master/LICENSE",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Container platform combining the Docker Engine runtime, the Compose and Build tooling, Docker Desktop for macOS and Windows, and the Docker Hub registry",
		14	+ "description": "Docker is the container platform from Docker, Inc. that popularized packaging an application and its dependencies into an OCI image and running it as an isolated process. The runtime, Docker Engine, is built from the open-source Moby project under the Apache-2.0 license and runs natively on Linux; Docker Desktop wraps that engine in a lightweight Linux virtual machine for macOS and Windows and adds a graphical dashboard, Kubernetes integration and settings management. Around the engine sit Docker Compose for declaring multi-container applications in YAML, BuildKit and Buildx for building multi-platform images, and Docker Hub as the default public registry.\n\nIn practice Docker is used at every stage of a software lifecycle: developers reproduce a service locally with one `docker compose up`, continuous-integration jobs build and push images, and servers run those same images in production either directly or under an orchestrator. The CLI and REST API are the integration surface for most other tools in the ecosystem.\n\nTwo caveats matter when choosing it. Docker Desktop is proprietary and, under the Docker Subscription Service Agreement, requires a paid subscription for commercial use in larger organizations, which has driven interest in alternatives such as Podman and OrbStack. Second, containers on macOS or Windows always run inside a VM, so file-system sharing and networking carry overhead and behave differently from Linux hosts. The engine itself has no built-in multi-node scheduling beyond Swarm mode; clusters typically move to Kubernetes.",
		15	+ "capabilities": ["Build OCI images from a Dockerfile with BuildKit, including multi-platform builds", "Run, stop and inspect containers through the CLI and a REST API", "Declare multi-container applications with Docker Compose", "Push and pull images from Docker Hub or any OCI registry", "Docker Desktop GUI with an embedded Kubernetes cluster on macOS and Windows", "Volumes, networks and secrets for container state and connectivity"],
		16	+ "workflows": ["Reproduce a service stack locally with docker compose", "Build and publish an image from a CI pipeline", "Ship a single-container app to a VPS and run it under a restart policy", "Produce multi-architecture images for Apple Silicon and x86 servers"],
		17	+ "advantages": ["De facto standard tooling and image format with the largest registry ecosystem", "Same image runs on a laptop, in CI and in production", "Extensive official documentation and base images", "Engine is open source under Apache-2.0"],
		18	+ "limitations": ["Docker Desktop is proprietary and commercially licensed for larger organizations", "Containers on macOS and Windows run inside a VM, adding file-sharing and networking overhead", "The daemon runs as root by default on Linux unless rootless mode is configured", "No multi-node orchestration beyond Swarm mode; clusters usually require Kubernetes"],
		19	+ "prerequisites": ["Linux host with a supported kernel, or macOS/Windows with Docker Desktop (or a compatible engine)", "Virtualization support on macOS and Windows"],
		20	+ "audiences": ["Application developers", "DevOps and platform engineers", "Researchers packaging reproducible environments"],
		21	+ "alternatives": ["podman", "orbstack", "kubernetes"],
		22	+ "comparison_notes": "Podman offers a daemonless, rootless engine with a largely compatible CLI and is fully open source, but ships its own machine layer for macOS and Windows rather than a desktop product with the same reach. OrbStack is a macOS-only, proprietary replacement for Docker Desktop that reuses the Docker CLI and images while focusing on lower resource use. Kubernetes is not a substitute for the engine but the usual next step when workloads need scheduling across several hosts; Docker Desktop can run a single-node Kubernetes for development.",
		23	+ "categories": [{ "slug": "containers-virtualization", "primary": true }],
		24	+ "tags": ["containers", "oci", "cli", "self-hosted", "open-source", "macos", "linux", "devops"],
		25	+ "use_cases": ["host-web-apps", "package-applications", "reproduce-environments"],
		26	+ "operating_systems": ["macos", "windows", "linux"],
		27	+ "execution_modes": ["local", "self-hosted"],
		28	+ "interfaces": ["cli", "desktop", "api"],
		29	+ "deployment_models": ["desktop", "on-premises"],
		30	+ "integrations": ["Docker Hub", "Kubernetes", "GitHub Actions", "Visual Studio Code", "OCI registries", "BuildKit"],
		31	+ "data_formats": ["OCI image", "Dockerfile", "Compose YAML"],
		32	+ "languages": ["Go"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "Apache-2.0",
		35	+ "pricing_model": ["open-source", "freemium", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.docker.com/", "type": "official_site", "title": "Docker: Accelerated Container Application Development", "supports": ["name", "summary", "product_type"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.docker.com/", "type": "official_docs", "title": "Docker Docs", "supports": ["capabilities", "interfaces", "operating_systems"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/moby/moby/blob/master/LICENSE", "type": "license_page", "title": "Moby LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://docs.docker.com/subscription-billing/desktop-license/", "type": "policy_page", "title": "Docker Desktop license agreement", "supports": ["pricing_model", "limitations"], "checked_at": "2026-11-02", "note": "Docker Desktop is free for personal use and small businesses and requires a paid subscription otherwise." },
		43	+ { "url": "https://www.docker.com/pricing/", "type": "pricing_page", "title": "Docker Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		44	+ ],
		45	+ "confidence": "high",
		46	+ "uncertainty_note": "license_spdx refers to Docker Engine (Moby); Docker Desktop and Docker Hub are proprietary services.",
		47	+ "discovery_method": "editorial-research",
		48	+ "depth": "deep",
		49	+ "editorial_status": "reviewed",
		50	+ "visibility": "public",
		51	+ "featured": true,
		52	+ "author": "batch-B2"
		53	+}

added content/tools/docusaurus.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "docusaurus",
		3	+ "name": "Docusaurus",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Meta Open Source", "slug": "meta", "website": "https://opensource.fb.com" },
		6	+ "homepage_url": "https://docusaurus.io/",
		7	+ "docs_url": "https://docusaurus.io/docs",
		8	+ "repo_url": "https://github.com/meta/docusaurus",
		9	+ "license_url": "https://github.com/meta/docusaurus/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "React-based static site generator from Meta for documentation sites with MDX content, versioning, localization and a plugin architecture",
		13	+ "description": "Docusaurus is a static site generator maintained by Meta Open Source and released under the MIT license. It is built on React and renders documentation written in Markdown or MDX, which allows React components to be embedded in pages. The default preset includes a documentation section with sidebars, a blog, a landing page, client-side search integration, dark mode and a theme that can be swizzled (overridden component by component).\n\nTwo features distinguish it from Markdown-only generators: documentation versioning, which snapshots the docs for each release, and internationalization, which produces one site per locale from translated files. Docusaurus is widely used for open-source project sites and developer portals, and deploys as static files to GitHub Pages, Vercel, Netlify or any web server. The trade-offs are those of a JavaScript framework: it requires Node.js and a build step, build times grow with large sites, and customizing beyond the theme means writing React. It is not a fit for projects that want to avoid a JavaScript toolchain.",
		14	+ "capabilities": ["Markdown and MDX content with embedded React components", "Documentation versioning", "Internationalization with per-locale builds", "Blog, sidebars and landing pages in one preset", "Swizzlable theme and plugin architecture", "Static output for any host"],
		15	+ "workflows": ["Publish a versioned developer portal for a library", "Translate documentation into several languages", "Embed interactive React demos inside docs pages"],
		16	+ "advantages": ["Versioning and localization built in", "React ecosystem for customization", "MIT license"],
		17	+ "limitations": ["Requires Node.js and a build toolchain", "Build times increase with large sites", "Customization beyond theming requires React"],
		18	+ "prerequisites": ["Node.js and a package manager"],
		19	+ "audiences": ["Open-source maintainers", "Developer relations and documentation teams"],
		20	+ "alternatives": ["mkdocs", "sphinx", "nextjs"],
		21	+ "comparison_notes": "MkDocs and Sphinx are Python generators with lighter toolchains and strong API-reference support; Docusaurus wins on interactive content, versioning and localization. Next.js is a general web framework that can host documentation but requires building the documentation features yourself.",
		22	+ "categories": [{ "slug": "documentation", "primary": true }],
		23	+ "tags": ["documentation", "react", "markdown", "open-source", "static-site", "typescript"],
		24	+ "use_cases": [],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["React", "MDX", "Algolia DocSearch", "GitHub Pages", "Vercel", "Netlify"],
		30	+ "data_formats": ["Markdown", "MDX", "JSON", "HTML"],
		31	+ "languages": ["TypeScript", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://docusaurus.io/", "type": "official_site", "title": "Docusaurus", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docusaurus.io/docs", "type": "official_docs", "title": "Docusaurus documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/meta/docusaurus/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "Repository moved from facebook/docusaurus to meta/docusaurus" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/donnees-quebec.json +150 −0

				@@ -0,0 +1,150 @@
		1	+{
		2	+ "slug": "donnees-quebec",
		3	+ "name": "Données Québec",
		4	+ "aliases": [
		5	+ "donneesquebec.ca",
		6	+ "Portail de données ouvertes du Québec"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Gouvernement du Québec and partner municipalities",
		10	+ "slug": "gouvernement-du-quebec",
		11	+ "website": "https://www.quebec.ca"
		12	+ },
		13	+ "homepage_url": "https://www.donneesquebec.ca/",
		14	+ "docs_url": "https://www.donneesquebec.ca/a-propos/",
		15	+ "license_url": "https://www.donneesquebec.ca/licence/",
		16	+ "product_type": "data-service",
		17	+ "product_status": "active",
		18	+ "summary": "Québec's shared open-data portal where provincial ministries and municipalities publish datasets under a Creative Commons Attribution licence",
		19	+ "description": "Données Québec is the collaborative open-data portal of the Gouvernement du Québec and participating municipalities, including Québec City, Montréal, Gatineau, Laval and Sherbrooke. Built on CKAN, it catalogues datasets from ministries and cities on topics such as territory and cadastre, property assessment rolls, transport, environment, health, education and public finance, each with resources in CSV, JSON, GeoJSON, Shapefile, XML or API form and a machine-readable catalogue API. Datasets are released under the portal's Creative Commons Attribution 4.0 licence unless a publisher states otherwise. It is the first place to look for provincial geodata, municipal datasets and the MAMH assessment-roll extracts. The portal is a catalogue, so update frequency, documentation quality and file structure vary by publisher, and many datasets are available in French only.",
		20	+ "capabilities": [
		21	+ "Searchable catalogue of provincial and municipal datasets",
		22	+ "CKAN API for programmatic catalogue and resource access",
		23	+ "Downloads in CSV, JSON, GeoJSON, Shapefile, XML and more",
		24	+ "Organisation pages per ministry or municipality",
		25	+ "Creative Commons Attribution licensing",
		26	+ "Dataset update notifications"
		27	+ ],
		28	+ "workflows": [
		29	+ "Locate and download the provincial assessment-roll extracts",
		30	+ "Script periodic retrieval of a municipal dataset through the CKAN API"
		31	+ ],
		32	+ "advantages": [
		33	+ "Single entry point for Québec public data",
		34	+ "Clear open licence",
		35	+ "Standard CKAN API"
		36	+ ],
		37	+ "limitations": [
		38	+ "Quality and freshness vary by publisher",
		39	+ "Mostly French-language metadata",
		40	+ "Some large datasets are split across many files"
		41	+ ],
		42	+ "prerequisites": [
		43	+ "Web browser or HTTP client for the CKAN API"
		44	+ ],
		45	+ "audiences": [
		46	+ "Researchers and analysts working on Québec",
		47	+ "Civic developers",
		48	+ "Municipal staff"
		49	+ ],
		50	+ "alternatives": [
		51	+ "statistics-canada",
		52	+ "role-evaluation-fonciere-quebec",
		53	+ "openstreetmap"
		54	+ ],
		55	+ "comparison_notes": "Statistics Canada produces national statistics with its own API, whereas Données Québec aggregates datasets produced by Québec public bodies. The assessment rolls are one dataset family hosted on the portal; OpenStreetMap is a community geodata source that complements official layers.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "open-public-data",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "gis-mapping"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "open-data",
		67	+ "quebec",
		68	+ "ckan",
		69	+ "gis",
		70	+ "api"
		71	+ ],
		72	+ "use_cases": [
		73	+ "access-public-statistics",
		74	+ "map-geodata",
		75	+ "value-real-estate"
		76	+ ],
		77	+ "operating_systems": [
		78	+ "web"
		79	+ ],
		80	+ "execution_modes": [
		81	+ "cloud"
		82	+ ],
		83	+ "interfaces": [
		84	+ "web",
		85	+ "api"
		86	+ ],
		87	+ "deployment_models": [
		88	+ "saas"
		89	+ ],
		90	+ "integrations": [
		91	+ "CKAN API",
		92	+ "QGIS",
		93	+ "Python/R clients"
		94	+ ],
		95	+ "data_formats": [
		96	+ "CSV",
		97	+ "JSON",
		98	+ "GeoJSON",
		99	+ "Shapefile",
		100	+ "XML",
		101	+ "GeoPackage"
		102	+ ],
		103	+ "languages": [],
		104	+ "source_model": "open-source",
		105	+ "license_spdx": "CC-BY-4.0",
		106	+ "pricing_model": [
		107	+ "free"
		108	+ ],
		109	+ "self_hostable": false,
		110	+ "sources": [
		111	+ {
		112	+ "url": "https://www.donneesquebec.ca/",
		113	+ "type": "official_site",
		114	+ "supports": [
		115	+ "name",
		116	+ "summary",
		117	+ "capabilities"
		118	+ ],
		119	+ "checked_at": "2026-11-02",
		120	+ "title": "Données Québec"
		121	+ },
		122	+ {
		123	+ "url": "https://www.donneesquebec.ca/a-propos/",
		124	+ "type": "official_docs",
		125	+ "supports": [
		126	+ "vendor",
		127	+ "summary"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "À propos — Données Québec"
		131	+ },
		132	+ {
		133	+ "url": "https://www.donneesquebec.ca/licence/",
		134	+ "type": "license_page",
		135	+ "supports": [
		136	+ "license_spdx",
		137	+ "pricing_model"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "Licence Données Québec (CC BY 4.0)"
		141	+ }
		142	+ ],
		143	+ "confidence": "high",
		144	+ "depth": "standard",
		145	+ "featured": false,
		146	+ "discovery_method": "editorial-research",
		147	+ "editorial_status": "reviewed",
		148	+ "visibility": "public",
		149	+ "author": "batch-F"
		150	+}

added content/tools/dowhy.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "dowhy",
		3	+ "name": "DoWhy",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "PyWhy (originally Microsoft)", "slug": "pywhy", "website": "https://www.pywhy.org" },
		6	+ "homepage_url": "https://www.pywhy.org/dowhy/",
		7	+ "docs_url": "https://www.pywhy.org/dowhy/",
		8	+ "repo_url": "https://github.com/py-why/dowhy",
		9	+ "license_url": "https://github.com/py-why/dowhy/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python causal-inference library organized around model, identify, estimate and refute steps, with graphical causal models for attribution, counterfactuals and root-cause analysis",
		13	+ "description": "DoWhy is an open-source Python library for causal inference, started at Microsoft and now part of the PyWhy ecosystem under the MIT license. Its effect-estimation API follows four explicit steps: model the problem as a causal graph, identify the estimand with graph-based criteria and do-calculus, estimate it with potential-outcome methods (regression, matching, weighting, instrumental variables, or EconML estimators through an integration), and refute the result with falsification tests such as placebo treatments, random common causes and data subsets.\n\nA second module, graphical causal models (GCM), fits explicit causal mechanisms at each node to support interventions, counterfactuals, attribution of anomalies and distribution changes, intrinsic causal influence and root-cause analysis. DoWhy supports Python 3.9 and later and is installed from PyPI or conda. The library makes assumptions explicit and testable, which is its main value in applied research, but it does not create identification where none exists, its estimators are simpler than dedicated packages unless EconML is attached, and the GCM module requires specifying or learning a plausible graph.",
		14	+ "capabilities": ["Four-step effect estimation: model, identify, estimate, refute", "Graph-based identification using do-calculus and backdoor/frontdoor criteria", "Refutation tests for causal assumptions", "Graphical causal models for interventions and counterfactuals", "Root-cause analysis and anomaly attribution", "Integration with EconML estimators"],
		15	+ "workflows": ["Documenting identification assumptions for an observational study", "Root-cause analysis of a metric change in a system", "Robustness checks on an estimated treatment effect"],
		16	+ "advantages": ["Makes causal assumptions explicit and testable", "MIT licence; active PyWhy community", "Bridges graphical models and potential outcomes"],
		17	+ "limitations": ["Requires a specified causal graph", "Built-in estimators are basic without EconML", "Assumptions cannot be verified from data alone"],
		18	+ "prerequisites": ["Python 3.9+ with NumPy, pandas and networkx"],
		19	+ "audiences": ["Researchers formalizing causal designs", "Data scientists doing attribution and root-cause analysis"],
		20	+ "alternatives": ["econml", "statsmodels", "fixest"],
		21	+ "comparison_notes": "EconML specializes in heterogeneous-effect estimation and plugs into DoWhy's estimate step; statsmodels and fixest provide classical regression tools without a graphical identification layer.",
		22	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }],
		23	+ "tags": ["python", "causal-inference", "open-source"],
		24	+ "use_cases": ["estimate-causal-effects"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["EconML", "scikit-learn", "networkx", "pandas"],
		30	+ "data_formats": ["pandas DataFrame", "NumPy arrays", "DOT/GML graphs"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.pywhy.org/dowhy/", "type": "official_site", "title": "DoWhy documentation", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/py-why/dowhy", "type": "repository", "title": "py-why/dowhy", "supports": ["capabilities", "description", "prerequisites"], "checked_at": "2026-11-02", "note": "README describes tasks, GCM module and Python support" },
		39	+ { "url": "https://github.com/py-why/dowhy/blob/main/LICENSE", "type": "license_page", "title": "DoWhy LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/draw-io.json +169 −0

				@@ -0,0 +1,169 @@
		1	+{
		2	+ "slug": "draw-io",
		3	+ "name": "draw.io",
		4	+ "aliases": [
		5	+ "diagrams.net",
		6	+ "drawio",
		7	+ "draw.io Desktop"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "draw.io AG / JGraph Ltd",
		11	+ "slug": "drawio",
		12	+ "website": "https://www.drawio.com"
		13	+ },
		14	+ "homepage_url": "https://www.drawio.com/",
		15	+ "docs_url": "https://www.drawio.com/docs/",
		16	+ "repo_url": "https://github.com/jgraph/drawio",
		17	+ "license_url": "https://github.com/jgraph/drawio/blob/dev/LICENSE",
		18	+ "product_type": "application",
		19	+ "product_status": "active",
		20	+ "summary": "Free diagramming editor (formerly diagrams.net) for flowcharts, network, UML and architecture diagrams, available as web app, desktop app and integrations",
		21	+ "description": "draw.io, also known as diagrams.net, is a diagramming application developed by JGraph and now operated by draw.io AG. The web editor at app.diagrams.net and the Electron-based desktop app for macOS, Windows and Linux draw flowcharts, network and cloud architecture diagrams, UML, ER models, floor plans and wireframes from large shape libraries (including AWS, Azure and GCP icon sets), with layers, connectors, custom styles and import of Lucidchart, Visio and Gliffy files. Files are stored where the user chooses: device, Google Drive, OneDrive, GitHub, GitLab or Dropbox, in an XML format that can also be embedded in PNG or SVG exports. Integrations exist for Confluence, Jira, VS Code, Notion and Microsoft Teams, and the editor source is Apache-2.0 licensed on GitHub. There is no account, no vendor-hosted storage and no real-time multi-user editing in the free app, and the dense interface takes some learning.",
		22	+ "capabilities": [
		23	+ "Large shape libraries including cloud provider icons",
		24	+ "Layers, connectors, styles and templates",
		25	+ "Import of Visio, Lucidchart and Gliffy files",
		26	+ "Storage on device or in Google Drive, OneDrive, GitHub and others",
		27	+ "Export to PNG, SVG, PDF with embedded diagram XML",
		28	+ "Desktop app and editor integrations (Confluence, VS Code)"
		29	+ ],
		30	+ "workflows": [
		31	+ "Draw a cluster network diagram and commit the .drawio file to a repository",
		32	+ "Edit architecture diagrams inside VS Code or Confluence"
		33	+ ],
		34	+ "advantages": [
		35	+ "Free with Apache-2.0 source",
		36	+ "No account or vendor storage required",
		37	+ "Round-trippable diagram XML inside exports"
		38	+ ],
		39	+ "limitations": [
		40	+ "No real-time collaboration in the free app",
		41	+ "Dense interface for newcomers",
		42	+ "Web app depends on third-party storage for sync"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Browser or desktop app"
		46	+ ],
		47	+ "audiences": [
		48	+ "Engineers and architects documenting systems",
		49	+ "Students and instructors"
		50	+ ],
		51	+ "alternatives": [
		52	+ "excalidraw",
		53	+ "mermaid",
		54	+ "figma"
		55	+ ],
		56	+ "comparison_notes": "Excalidraw is informal and sketch-like with live collaboration; Mermaid generates diagrams from text. draw.io is the most complete free editor for formal technical diagrams, while Figma targets interface design.",
		57	+ "categories": [
		58	+ {
		59	+ "slug": "design-prototyping",
		60	+ "primary": true
		61	+ }
		62	+ ],
		63	+ "tags": [
		64	+ "diagrams",
		65	+ "open-source",
		66	+ "javascript",
		67	+ "desktop",
		68	+ "documentation"
		69	+ ],
		70	+ "use_cases": [
		71	+ "draw-diagrams"
		72	+ ],
		73	+ "operating_systems": [
		74	+ "web",
		75	+ "macos",
		76	+ "windows",
		77	+ "linux"
		78	+ ],
		79	+ "execution_modes": [
		80	+ "local",
		81	+ "self-hosted"
		82	+ ],
		83	+ "interfaces": [
		84	+ "web",
		85	+ "desktop",
		86	+ "ide-extension"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "desktop",
		90	+ "embedded",
		91	+ "on-premises"
		92	+ ],
		93	+ "integrations": [
		94	+ "Confluence",
		95	+ "Jira",
		96	+ "VS Code",
		97	+ "Google Drive",
		98	+ "OneDrive",
		99	+ "GitHub",
		100	+ "Notion",
		101	+ "Microsoft Teams"
		102	+ ],
		103	+ "data_formats": [
		104	+ ".drawio XML",
		105	+ "PNG",
		106	+ "SVG",
		107	+ "PDF",
		108	+ "VSDX import"
		109	+ ],
		110	+ "languages": [
		111	+ "JavaScript"
		112	+ ],
		113	+ "source_model": "open-source",
		114	+ "license_spdx": "Apache-2.0",
		115	+ "pricing_model": [
		116	+ "free",
		117	+ "open-source"
		118	+ ],
		119	+ "self_hostable": true,
		120	+ "sources": [
		121	+ {
		122	+ "url": "https://www.drawio.com/",
		123	+ "type": "official_site",
		124	+ "supports": [
		125	+ "name",
		126	+ "summary",
		127	+ "integrations"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "draw.io"
		131	+ },
		132	+ {
		133	+ "url": "https://www.drawio.com/docs/",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "capabilities",
		137	+ "data_formats"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "draw.io documentation"
		141	+ },
		142	+ {
		143	+ "url": "https://github.com/jgraph/drawio/blob/dev/LICENSE",
		144	+ "type": "license_page",
		145	+ "supports": [
		146	+ "license_spdx",
		147	+ "source_model"
		148	+ ],
		149	+ "checked_at": "2026-11-02",
		150	+ "title": "LICENSE (Apache 2.0)"
		151	+ },
		152	+ {
		153	+ "url": "https://github.com/jgraph/drawio-desktop",
		154	+ "type": "repository",
		155	+ "supports": [
		156	+ "operating_systems"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "jgraph/drawio-desktop"
		160	+ }
		161	+ ],
		162	+ "confidence": "high",
		163	+ "depth": "standard",
		164	+ "featured": false,
		165	+ "discovery_method": "editorial-research",
		166	+ "editorial_status": "reviewed",
		167	+ "visibility": "public",
		168	+ "author": "batch-F"
		169	+}

added content/tools/drizzle-orm.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "drizzle-orm",
		3	+ "name": "Drizzle ORM",
		4	+ "aliases": ["Drizzle"],
		5	+ "vendor": { "name": "Drizzle Team", "slug": "drizzle-team", "website": "https://orm.drizzle.team" },
		6	+ "homepage_url": "https://orm.drizzle.team/",
		7	+ "docs_url": "https://orm.drizzle.team/docs/overview",
		8	+ "repo_url": "https://github.com/drizzle-team/drizzle-orm",
		9	+ "license_url": "https://github.com/drizzle-team/drizzle-orm/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "TypeScript ORM with SQL-like query builder, schema defined in code, migrations through Drizzle Kit, and support for PostgreSQL, MySQL and SQLite drivers",
		13	+ "description": "Drizzle ORM is a TypeScript object-relational mapper developed by the Drizzle Team and released under the Apache-2.0 license. Schemas are declared in TypeScript, which gives fully typed tables, columns and query results without code generation, and queries are written with a builder that mirrors SQL closely (select, where, join, group by) alongside a relational query API for nested results. It has no runtime dependencies beyond the chosen database driver and runs in Node.js, Bun, Deno and edge runtimes.\n\nSupported databases include PostgreSQL, MySQL and SQLite families, including hosted variants such as Neon, Supabase, PlanetScale, Turso and Cloudflare D1. The companion Drizzle Kit CLI generates and applies SQL migrations from schema changes and provides Drizzle Studio, a browser-based data viewer. Drizzle is popular in Next.js and Hono projects where developers want SQL transparency and small bundles. Its trade-offs relative to Prisma are a steeper start for those unfamiliar with SQL, fewer high-level conveniences, and documentation that, while improving, is less tutorial-oriented.",
		14	+ "capabilities": ["Schema declared in TypeScript with inferred types", "SQL-like query builder and relational query API", "Migrations generated from schema diffs (Drizzle Kit)", "Drivers for PostgreSQL, MySQL and SQLite, including serverless variants", "Runs in Node.js, Bun, Deno and edge runtimes", "Drizzle Studio data browser"],
		15	+ "workflows": ["Define a schema, generate migrations and apply them in CI", "Query PostgreSQL from a Next.js server component", "Use SQLite or Turso in an edge deployment"],
		16	+ "advantages": ["Close to SQL with full type safety", "No code generation step", "Small footprint suited to edge runtimes"],
		17	+ "limitations": ["Assumes SQL familiarity", "Fewer high-level abstractions than Prisma", "Documentation less structured for beginners"],
		18	+ "prerequisites": ["TypeScript project and a database driver"],
		19	+ "audiences": ["TypeScript backend developers", "Teams deploying to edge or serverless runtimes"],
		20	+ "alternatives": ["prisma"],
		21	+ "comparison_notes": "Prisma uses its own schema language and a generated client with a query engine, which yields a very approachable API and strong tooling but adds a build step and, historically, a native binary; Drizzle keeps everything in TypeScript and closer to raw SQL. Both support PostgreSQL, MySQL and SQLite; the choice usually turns on SQL comfort and runtime constraints.",
		22	+ "categories": [{ "slug": "web-frameworks", "primary": true }, { "slug": "relational-databases" }],
		23	+ "tags": ["typescript", "sql", "orm", "open-source"],
		24	+ "use_cases": ["build-web-apps"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["library", "cli"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["PostgreSQL", "MySQL", "SQLite", "Neon", "Supabase", "Turso", "Cloudflare D1", "Next.js", "Hono"],
		30	+ "data_formats": ["SQL", "TypeScript schema", "JSON"],
		31	+ "languages": ["TypeScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://orm.drizzle.team/", "type": "official_site", "title": "Drizzle ORM", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://orm.drizzle.team/docs/overview", "type": "official_docs", "title": "Drizzle ORM overview", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/drizzle-team/drizzle-orm/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/dspy.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "dspy",
		3	+ "name": "DSPy",
		4	+ "aliases": ["dspy-ai", "Declarative Self-improving Python"],
		5	+ "vendor": { "name": "Stanford NLP and the DSPy community", "slug": "stanford-nlp", "website": "https://dspy.ai" },
		6	+ "homepage_url": "https://dspy.ai/",
		7	+ "docs_url": "https://dspy.ai/current/",
		8	+ "repo_url": "https://github.com/stanfordnlp/dspy",
		9	+ "license_url": "https://github.com/stanfordnlp/dspy/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Python framework for programming language-model pipelines with typed signatures and modules, then optimizing prompts and weights automatically against a metric",
		13	+ "description": "DSPy is an MIT-licensed Python framework that started at Stanford NLP in 2022 and treats LLM pipelines as programs to compile rather than prompts to hand-tune. A signature declares a task's typed inputs and outputs; modules such as `Predict`, `ChainOfThought` and `ReAct` decide how the signature is executed, including tool use; and optimizers (MIPROv2, GEPA and others) rewrite instructions, select few-shot demonstrations or fine-tune weights to maximize a user-defined metric on example data. Models are addressed through provider-prefixed names, so the same program can target hosted APIs or local runtimes.\n\nThe approach suits research groups and teams that need measurable, reproducible pipelines: classification, extraction, retrieval-augmented QA or multi-stage reasoning where a labeled development set exists. Its limits are that optimization consumes many model calls, that results depend on the quality of the metric and data, and that the compiled prompts are less transparent than hand-written ones. The project is at version 3.x and remains actively developed with a lineage of published papers.",
		14	+ "capabilities": ["Typed signatures for task specification", "Modules: Predict, ChainOfThought, ReAct and custom compositions", "Optimizers such as MIPROv2 and GEPA for prompts and weights", "Metric-driven evaluation and compilation", "Provider-agnostic model addressing"],
		15	+ "workflows": ["Compile a classification pipeline against a labeled dev set", "Optimize a RAG program's instructions and demonstrations", "Compare optimizers on the same metric"],
		16	+ "advantages": ["Systematic alternative to manual prompt engineering", "Research-backed optimizers", "MIT license and active community"],
		17	+ "limitations": ["Optimization is model-call intensive", "Requires labeled examples and a good metric", "Compiled prompts are harder to audit"],
		18	+ "prerequisites": ["Python 3.10+", "A model provider or local runtime"],
		19	+ "audiences": ["NLP researchers", "Engineers building measurable LLM pipelines"],
		20	+ "alternatives": ["langchain", "pydantic-ai", "promptfoo", "instructor"],
		21	+ "categories": [{ "slug": "llm-ops", "primary": true }, { "slug": "agent-frameworks", "label": "Modules and ReAct agents" }],
		22	+ "tags": ["llm", "python", "open-source", "prompt-optimization", "rag"],
		23	+ "use_cases": ["evaluate-llm-apps", "build-agents"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local", "self-hosted"],
		26	+ "interfaces": ["library"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["OpenAI", "Anthropic", "Ollama", "LiteLLM", "MLflow"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://dspy.ai/current/", "type": "official_site", "title": "DSPy", "supports": ["name", "summary", "capabilities", "license_spdx"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/stanfordnlp/dspy", "type": "repository", "supports": ["license_spdx", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/stanfordnlp/dspy/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/duckdb.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "duckdb",
		3	+ "name": "DuckDB",
		4	+ "aliases": ["Duck DB"],
		5	+ "vendor": { "name": "DuckDB Foundation / DuckDB Labs", "slug": "duckdb-foundation", "website": "https://duckdb.org" },
		6	+ "homepage_url": "https://duckdb.org/",
		7	+ "docs_url": "https://duckdb.org/docs/",
		8	+ "repo_url": "https://github.com/duckdb/duckdb",
		9	+ "license_url": "https://github.com/duckdb/duckdb/blob/main/LICENSE",
		10	+ "product_type": "database",
		11	+ "product_status": "active",
		12	+ "summary": "In-process analytical SQL database that queries Parquet, CSV and Arrow data directly from Python, R, Node or the CLI",
		13	+ "description": "DuckDB is an open-source, in-process analytical database developed by DuckDB Labs and stewarded by the DuckDB Foundation. Like SQLite it runs inside the host process with no server to install, but it is built for analytical (OLAP) workloads: a columnar, vectorized execution engine processes large scans and aggregations quickly on a single machine.\n\nIts most common use is as a query engine for files. DuckDB reads and writes Parquet, CSV and JSON directly, including globbed directories of partitioned files on local disk or object storage, and it exchanges data with Apache Arrow, pandas and Polars without copies. Client APIs exist for Python, R, Java, Node.js, Rust, Go and C/C++, and a standalone CLI ships for macOS, Linux and Windows. Extensions add spatial functions, full-text search, Iceberg and Delta table reading, and remote HTTP/S3 access.\n\nIn a research or finance workflow DuckDB typically sits between a Parquet data lake and a notebook or application: one SQL statement can filter a multi-year minute-bar archive, join it with a reference table and hand back an Arrow table for modelling. It is also a convenient embedded store for medium-sized applications that need SQL but not a database server.\n\nLimits are those of a single-node embedded engine: there is no built-in multi-user server, concurrent writers to the same file are restricted, and datasets much larger than memory rely on spilling to disk, so very large or highly concurrent workloads still call for a warehouse or distributed engine. Major-version upgrades can change the on-disk storage format, so pinning versions in pipelines is advisable.",
		14	+ "capabilities": ["Vectorized columnar SQL execution in-process", "Direct querying of Parquet, CSV and JSON files and directories", "Zero-copy exchange with Apache Arrow, pandas and Polars", "Extensions: spatial, full-text search, Iceberg/Delta, httpfs (S3)", "Clients for Python, R, Node.js, Java, Rust, Go, C/C++ and a CLI", "Persistent single-file databases and read-only attachments"],
		15	+ "workflows": ["Query a Parquet data lake from a notebook", "Replace ad-hoc pandas transformations with SQL", "Embed an analytical store inside a desktop or server application", "Convert and partition files between CSV and Parquet"],
		16	+ "advantages": ["No server or configuration to manage", "Excellent single-node performance on analytical scans", "Permissive MIT license", "First-class Arrow interoperability"],
		17	+ "limitations": ["Single-node; no distributed execution", "Limited concurrent write access to one database file", "Storage format can change between major versions", "Not designed for high-rate transactional workloads"],
		18	+ "prerequisites": ["A host language runtime (Python, R, Node.js…) or the CLI binary"],
		19	+ "audiences": ["Data scientists and quantitative researchers", "Backend developers embedding analytics", "Data engineers building file-based pipelines"],
		20	+ "alternatives": ["sqlite", "clickhouse", "polars", "apache-datafusion"],
		21	+ "comparison_notes": "SQLite is the closest architectural relative (embedded, single file) but is row-oriented and tuned for transactional access; DuckDB targets analytical scans. ClickHouse offers a comparable columnar engine as a networked server with clustering. Polars covers much of the same ground as a DataFrame library rather than through SQL, and the two interoperate through Arrow.",
		22	+ "categories": [{ "slug": "analytics-engines", "primary": true }, { "slug": "relational-databases" }, { "slug": "hf-finance-research", "label": "Common engine for Parquet tick/bar archives" }],
		23	+ "tags": ["olap", "embedded-database", "parquet", "sql", "apache-arrow", "columnar"],
		24	+ "use_cases": ["query-parquet-files", "analyze-intraday-data", "embed-analytics"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli", "library", "sdk"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["Apache Arrow", "pandas", "Polars", "Jupyter", "dbt", "Apache Iceberg", "Delta Lake", "Amazon S3"],
		30	+ "data_formats": ["Parquet", "CSV", "JSON", "Arrow IPC", "Excel (extension)"],
		31	+ "languages": ["Python", "R", "JavaScript", "Java", "Rust", "Go", "C", "C++", "SQL"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://duckdb.org/", "type": "official_site", "title": "DuckDB – An in-process SQL OLAP database management system", "supports": ["name", "summary", "product_type"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://duckdb.org/docs/", "type": "official_docs", "title": "DuckDB Documentation", "supports": ["capabilities", "interfaces", "languages", "data_formats"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/duckdb/duckdb/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": true,
		47	+ "author": "editorial"
		48	+}

added content/tools/econml.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "econml",
		3	+ "name": "EconML",
		4	+ "aliases": ["ALICE (Automated Learning and Intelligence for Causation and Economics)"],
		5	+ "vendor": { "name": "PyWhy (originally Microsoft Research)", "slug": "pywhy", "website": "https://www.pywhy.org" },
		6	+ "homepage_url": "https://www.pywhy.org/EconML/",
		7	+ "docs_url": "https://www.pywhy.org/EconML/",
		8	+ "repo_url": "https://github.com/py-why/EconML",
		9	+ "license_url": "https://github.com/py-why/EconML/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python library for heterogeneous treatment-effect estimation with machine learning: double ML, doubly robust learners, causal forests, meta-learners, IV and policy learning",
		13	+ "description": "EconML is a Python library for estimating conditional average treatment effects (CATE) with machine learning, created by Microsoft Research's ALICE project and now maintained in the PyWhy organization under the MIT license. It implements double/debiased machine learning (LinearDML, SparseLinearDML, CausalForestDML, NonParamDML, KernelDML), doubly robust learners, meta-learners (S, T, X and domain adaptation), orthogonal random forests, instrumental-variable estimators (OrthoIV, DMLIV, DRIV variants), dynamic DML for panels, policy trees and forests, and generalized random forests, with inference via bootstrap or asymptotic methods, SHAP-based interpretation, tree-based CATE interpreters, validation scorers and DoWhy refutation tests.\n\nEstimators follow scikit-learn conventions and accept scikit-learn models as nuisance learners, so a typical workflow fits an EconML estimator on observational data, inspects heterogeneity with interpreters and checks robustness through the DoWhy wrapper. Version 0.17.0 is current at the time of writing. The library assumes unconfoundedness or valid instruments like any causal method, requires reasonably large samples for ML nuisance estimation, and does not implement classic panel or event-study estimators, which remain the domain of linearmodels, fixest or Stata.",
		14	+ "capabilities": ["Double/debiased machine learning estimators", "Doubly robust and meta-learners", "Causal and orthogonal random forests", "Instrumental-variable estimators (DRIV, DMLIV, OrthoIV)", "Policy learning trees and forests", "Dynamic DML for panel data", "SHAP and tree-based CATE interpretation", "Validation scorers and DoWhy refutation integration"],
		15	+ "workflows": ["Heterogeneous effect of a pricing change by customer segment", "Treatment-effect estimation with high-dimensional controls", "Policy learning for targeted interventions"],
		16	+ "advantages": ["MIT licence and scikit-learn compatible API", "Broad coverage of modern causal-ML estimators", "Integrated inference and interpretation tools"],
		17	+ "limitations": ["Requires identification assumptions the library cannot verify", "ML nuisance estimation needs sizeable samples", "No classic panel or difference-in-differences estimators"],
		18	+ "prerequisites": ["Python with scikit-learn, NumPy and pandas"],
		19	+ "audiences": ["Applied economists using causal ML", "Data scientists estimating treatment heterogeneity"],
		20	+ "alternatives": ["dowhy", "statsmodels", "scikit-learn", "fixest"],
		21	+ "comparison_notes": "DoWhy frames identification and refutation and can call EconML for estimation; statsmodels and fixest provide classical regression-based causal designs; scikit-learn supplies the predictive learners EconML wraps.",
		22	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }],
		23	+ "tags": ["python", "causal-inference", "machine-learning", "open-source"],
		24	+ "use_cases": ["estimate-causal-effects"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["scikit-learn", "DoWhy", "SHAP", "pandas"],
		30	+ "data_formats": ["NumPy arrays", "pandas DataFrame"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.pywhy.org/EconML/", "type": "official_site", "title": "Welcome to econml's documentation! — econml 0.17.0", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/py-why/EconML", "type": "repository", "title": "py-why/EconML", "supports": ["repo_url", "vendor"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/py-why/EconML/blob/main/LICENSE", "type": "license_page", "title": "EconML LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "Documentation header showed 0.16.0 while PyPI lists 0.17.0 on the check date.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/edgartools.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "edgartools",
		3	+ "name": "edgartools",
		4	+ "aliases": ["EdgarTools"],
		5	+ "vendor": { "name": "Dwight Gunning", "slug": "dgunning", "website": "https://www.edgartools.io" },
		6	+ "homepage_url": "https://www.edgartools.io/",
		7	+ "docs_url": "https://edgartools.readthedocs.io/en/latest/",
		8	+ "repo_url": "https://github.com/dgunning/edgartools",
		9	+ "license_url": "https://github.com/dgunning/edgartools/blob/main/LICENSE.txt",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "MIT-licensed Python library for SEC EDGAR: company and filing objects, XBRL financial statements, Form 3/4/5, 13F and proxy parsing into pandas, with the SEC identity requirement built in",
		13	+ "description": "edgartools is a Python library by Dwight Gunning for retrieving and parsing SEC EDGAR filings, released under the MIT license and installed with pip. It wraps the data.sec.gov submissions and XBRL APIs and the filing archives into Company and Filing objects: a Company resolves from a ticker or CIK and exposes filing history, shares outstanding and public float; get_financials() returns XBRL-based income statements, balance sheets and cash-flow statements as DataFrames; Forms 3, 4 and 5 become structured insider-transaction tables; 13F-HR holdings, DEF 14A compensation and 8-K items are parsed; and any filing can be rendered to clean text or Markdown for NLP, with ranking search over filing text described for AI use cases. Filings back to the mid-1990s are reachable.\n\nBecause the SEC requires automated clients to identify themselves, edgartools makes set_identity() with a name and e-mail a first step and handles throttling to stay within the fair-access limits. The library is actively released (version 5.62.1 on PyPI at the time of writing) and requires Python 3.10 or later. It depends on the SEC's own data quality and rate policy, parsing heuristics can fail on unusual filings, and large-scale collection still benefits from the SEC's bulk ZIP archives rather than per-filing requests.",
		14	+ "capabilities": ["Company and Filing objects over data.sec.gov APIs", "XBRL financial statements as pandas DataFrames", "Insider Forms 3, 4 and 5 parsed to tables", "13F holdings and proxy (DEF 14A) parsing", "Filing text and Markdown extraction for NLP", "Built-in SEC identity and rate handling"],
		15	+ "workflows": ["Pulling standardized statements for a sample of firms", "Extracting insider transactions for an event study", "Converting 10-K text to Markdown for an LLM pipeline"],
		16	+ "advantages": ["MIT licence and active maintenance", "Handles SEC access rules automatically", "Rich filing-type coverage"],
		17	+ "limitations": ["Bound by SEC rate limits", "Parsing can fail on atypical filings", "Python 3.10+ required"],
		18	+ "prerequisites": ["Python 3.10+", "Identity string for SEC requests"],
		19	+ "audiences": ["Finance and accounting researchers", "Developers building filing-analysis tools"],
		20	+ "alternatives": ["sec-edgar", "wrds", "pandas"],
		21	+ "comparison_notes": "SEC EDGAR is the underlying free data source; WRDS provides commercially structured versions of the same filings. edgartools is the open-source parsing layer between them.",
		22	+ "categories": [{ "slug": "sec-filings", "primary": true }],
		23	+ "tags": ["python", "sec-filings", "xbrl", "open-source"],
		24	+ "use_cases": ["parse-sec-filings"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["SEC EDGAR APIs", "pandas", "PyArrow"],
		30	+ "data_formats": ["pandas DataFrame", "JSON", "XBRL", "Markdown", "HTML"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.edgartools.io/", "type": "official_site", "title": "EdgarTools", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://edgartools.readthedocs.io/en/latest/", "type": "official_docs", "title": "EdgarTools: The Python Library for SEC EDGAR Data", "supports": ["capabilities", "description", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/dgunning/edgartools/blob/main/LICENSE.txt", "type": "license_page", "title": "edgartools LICENSE.txt", "supports": ["license_spdx", "source_model", "vendor"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://pypi.org/project/edgartools/", "type": "package_registry", "title": "edgartools · PyPI", "supports": ["description", "prerequisites"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/elasticsearch.json +208 −0

				@@ -0,0 +1,208 @@
		1	+{
		2	+ "aliases": [
		3	+ "Elastic Stack",
		4	+ "ELK"
		5	+ ],
		6	+ "workflows": [
		7	+ "Centralized log and observability search with Kibana",
		8	+ "Site or catalog search with relevance tuning",
		9	+ "Hybrid keyword and vector retrieval for RAG",
		10	+ "Security analytics (SIEM) on the Elastic Stack"
		11	+ ],
		12	+ "advantages": [
		13	+ "Mature, widely deployed engine with a large ecosystem",
		14	+ "Search, analytics and vectors in one system",
		15	+ "AGPL option restores an OSI-approved license choice",
		16	+ "Hosted and serverless options on Elastic Cloud"
		17	+ ],
		18	+ "limitations": [
		19	+ "Three-way license plus ELv2-only x-pack code requires review",
		20	+ "JVM heap and shard sizing demand operational expertise",
		21	+ "Limited joins and transactions",
		22	+ "Several features gated behind paid subscription tiers"
		23	+ ],
		24	+ "prerequisites": [
		25	+ "JVM-based server or container, or an Elastic Cloud deployment"
		26	+ ],
		27	+ "audiences": [
		28	+ "Platform and observability teams",
		29	+ "Search engineers",
		30	+ "Developers adding hybrid retrieval"
		31	+ ],
		32	+ "alternatives": [
		33	+ "opensearch",
		34	+ "meilisearch",
		35	+ "typesense",
		36	+ "clickhouse",
		37	+ "qdrant"
		38	+ ],
		39	+ "tags": [
		40	+ "search-engine",
		41	+ "full-text-search",
		42	+ "vector-search",
		43	+ "monitoring",
		44	+ "self-hosted",
		45	+ "java"
		46	+ ],
		47	+ "use_cases": [
		48	+ "monitor-services",
		49	+ "add-site-search",
		50	+ "semantic-search"
		51	+ ],
		52	+ "operating_systems": [
		53	+ "linux",
		54	+ "macos",
		55	+ "windows"
		56	+ ],
		57	+ "deployment_models": [
		58	+ "on-premises",
		59	+ "managed-cloud"
		60	+ ],
		61	+ "integrations": [
		62	+ "Kibana",
		63	+ "Logstash",
		64	+ "Elastic Agent/Beats",
		65	+ "Apache Kafka",
		66	+ "LangChain",
		67	+ "LlamaIndex"
		68	+ ],
		69	+ "data_formats": [
		70	+ "JSON",
		71	+ "NDJSON (bulk API)"
		72	+ ],
		73	+ "languages": [
		74	+ "Java",
		75	+ "Python",
		76	+ "JavaScript",
		77	+ "Go",
		78	+ "C#",
		79	+ "PHP",
		80	+ "Ruby",
		81	+ "Rust"
		82	+ ],
		83	+ "self_hostable": true,
		84	+ "discovery_method": "editorial-research",
		85	+ "depth": "deep",
		86	+ "editorial_status": "reviewed",
		87	+ "visibility": "public",
		88	+ "featured": false,
		89	+ "author": "batch-D",
		90	+ "slug": "elasticsearch",
		91	+ "name": "Elasticsearch",
		92	+ "vendor": {
		93	+ "name": "Elastic N.V.",
		94	+ "slug": "elastic",
		95	+ "website": "https://www.elastic.co/"
		96	+ },
		97	+ "homepage_url": "https://www.elastic.co/elasticsearch",
		98	+ "docs_url": "https://www.elastic.co/docs",
		99	+ "repo_url": "https://github.com/elastic/elasticsearch",
		100	+ "license_url": "https://github.com/elastic/elasticsearch/blob/main/LICENSE.txt",
		101	+ "pricing_url": "https://www.elastic.co/pricing",
		102	+ "pricing_checked_at": "2026-11-02",
		103	+ "product_type": "database",
		104	+ "product_status": "active",
		105	+ "summary": "Distributed search and analytics engine on Apache Lucene with full-text, aggregations, vector search and ES|QL; triple-licensed AGPL, SSPL and Elastic License",
		106	+ "description": "Elasticsearch is a distributed search and analytics engine developed by Elastic N.V. on top of Apache Lucene. Documents are stored as JSON in indices split into shards and replicated across a cluster; queries combine full-text relevance, structured filters, aggregations for analytics, geospatial search and dense-vector kNN search for embeddings. ES|QL offers a piped query language alongside the JSON Query DSL, ingest pipelines transform data on the way in, and Kibana supplies dashboards, alerting and management. Elasticsearch underpins log and observability stacks, site search and, increasingly, hybrid lexical-plus-vector retrieval for RAG.\n\nLicensing deserves care. Since 2024 the default source license is a triple license: the GNU Affero General Public License v3.0 only, the Server Side Public License v1, or the Elastic License 2.0, at the user's choice; code in the x-pack directory is available solely under Elastic License 2.0, and some files remain Apache 2.0. Prebuilt distributions ship with the free Basic tier plus paid Platinum and Enterprise features, and Elastic Cloud provides hosted and serverless deployments.\n\nIt runs on the JVM and expects careful heap and shard sizing; cluster operations, mapping design and upgrades take expertise. Relational joins are limited, and commercial features such as advanced security, machine learning jobs and some vector-search conveniences sit behind subscription tiers.",
		107	+ "capabilities": [
		108	+ "Full-text search with BM25 relevance and analyzers",
		109	+ "Aggregations for analytics over structured and time-series data",
		110	+ "Dense-vector kNN and hybrid retrieval",
		111	+ "ES|QL and JSON Query DSL",
		112	+ "Ingest pipelines and index lifecycle management",
		113	+ "Sharding and replication across a cluster",
		114	+ "Kibana dashboards and alerting",
		115	+ "Clients for Java, Python, JavaScript, Go, .NET, PHP, Ruby and Rust"
		116	+ ],
		117	+ "comparison_notes": "OpenSearch is the Apache-2.0 fork created after Elastic's 2021 license change and now governed by the OpenSearch Software Foundation; the two share ancestry but APIs and features have diverged. Meilisearch and Typesense are single-node engines focused on application search rather than analytics. ClickHouse covers the log-analytics use case with SQL and columnar storage instead of inverted indexes. Qdrant and other vector databases specialize in embedding search without full-text analytics.",
		118	+ "categories": [
		119	+ {
		120	+ "slug": "vector-databases",
		121	+ "primary": true
		122	+ },
		123	+ {
		124	+ "slug": "analytics-engines"
		125	+ },
		126	+ {
		127	+ "slug": "monitoring-observability"
		128	+ }
		129	+ ],
		130	+ "execution_modes": [
		131	+ "self-hosted",
		132	+ "cloud"
		133	+ ],
		134	+ "interfaces": [
		135	+ "api",
		136	+ "sdk",
		137	+ "web"
		138	+ ],
		139	+ "source_model": "mixed",
		140	+ "license_spdx": "AGPL-3.0-only OR SSPL-1.0 OR Elastic-2.0",
		141	+ "pricing_model": [
		142	+ "open-source",
		143	+ "free",
		144	+ "usage-based",
		145	+ "enterprise"
		146	+ ],
		147	+ "sources": [
		148	+ {
		149	+ "url": "https://www.elastic.co/elasticsearch",
		150	+ "type": "official_site",
		151	+ "supports": [
		152	+ "name",
		153	+ "summary"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Elasticsearch | Elastic"
		157	+ },
		158	+ {
		159	+ "url": "https://www.elastic.co/docs",
		160	+ "type": "official_docs",
		161	+ "supports": [
		162	+ "capabilities",
		163	+ "languages"
		164	+ ],
		165	+ "checked_at": "2026-11-02",
		166	+ "title": "Elastic Docs"
		167	+ },
		168	+ {
		169	+ "url": "https://github.com/elastic/elasticsearch/blob/main/LICENSE.txt",
		170	+ "type": "license_page",
		171	+ "supports": [
		172	+ "license_spdx",
		173	+ "source_model"
		174	+ ],
		175	+ "checked_at": "2026-11-02",
		176	+ "title": "Elasticsearch LICENSE.txt",
		177	+ "note": "Default triple license AGPL-3.0-only / SSPL-1.0 / Elastic-2.0; x-pack solely Elastic-2.0; some files Apache-2.0"
		178	+ },
		179	+ {
		180	+ "url": "https://www.elastic.co/licensing/elastic-license",
		181	+ "type": "license_page",
		182	+ "supports": [
		183	+ "license_spdx"
		184	+ ],
		185	+ "checked_at": "2026-11-02",
		186	+ "title": "Elastic License 2.0"
		187	+ },
		188	+ {
		189	+ "url": "https://www.elastic.co/pricing",
		190	+ "type": "pricing_page",
		191	+ "supports": [
		192	+ "pricing_model"
		193	+ ],
		194	+ "checked_at": "2026-11-02",
		195	+ "title": "Elastic pricing"
		196	+ },
		197	+ {
		198	+ "url": "https://github.com/elastic/elasticsearch",
		199	+ "type": "repository",
		200	+ "supports": [
		201	+ "repo_url"
		202	+ ],
		203	+ "checked_at": "2026-11-02",
		204	+ "title": "elastic/elasticsearch"
		205	+ }
		206	+ ],
		207	+ "confidence": "high"
		208	+}

added content/tools/elevenlabs.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "elevenlabs",
		3	+ "name": "ElevenLabs",
		4	+ "aliases": ["Eleven Labs", "ElevenAPI", "ElevenAgents"],
		5	+ "vendor": { "name": "ElevenLabs, Inc.", "slug": "elevenlabs-inc", "website": "https://elevenlabs.io" },
		6	+ "homepage_url": "https://elevenlabs.io/",
		7	+ "docs_url": "https://elevenlabs.io/docs/overview/intro",
		8	+ "repo_url": "https://github.com/elevenlabs/elevenlabs-python",
		9	+ "pricing_url": "https://elevenlabs.io/pricing",
		10	+ "privacy_url": "https://elevenlabs.io/privacy-policy",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Hosted voice AI platform: text-to-speech and speech-to-text models, voice cloning, dubbing, music and sound effects, a voice-agent builder and a REST API with Python and TypeScript SDKs",
		14	+ "description": "ElevenLabs is a hosted platform for synthetic speech and audio. Its documentation groups the offering into ElevenCreative, a no-code studio for voiceovers, dubbing, music and long-form projects; ElevenAgents, a visual and programmatic builder for conversational voice agents; ElevenAPI, the REST interface with official Python and TypeScript SDKs; and Reception.ai, a packaged phone receptionist. Underlying capabilities include several generations of text-to-speech models tuned for quality or latency, the Scribe speech-to-text models, instant and professional voice cloning, voice design, dubbing, music and sound-effect generation, text-to-dialogue, voice changing and isolation, forced alignment and newer image and video generation.\n\nPlans run from Free through Starter, Creator, Pro, Scale and Business to Enterprise, sharing a credit pool across products and differing in credits, seats, commercial license and voice-cloning tiers; pay-as-you-go API pricing is listed separately. All processing happens on ElevenLabs' servers, voice cloning carries consent and policy obligations, and credit accounting makes cost estimation for long audio projects something to plan. For research transcription workloads, open models such as Whisper remain the self-hosted alternative.",
		15	+ "capabilities": ["Text-to-speech models across quality and latency tiers", "Scribe speech-to-text with diarization", "Instant and professional voice cloning and voice design", "Dubbing, music and sound-effect generation", "Conversational voice agents (ElevenAgents) with visual builder", "REST API with Python and TypeScript SDKs"],
		16	+ "workflows": ["Generate narration for course material from a script", "Build a phone or web voice agent with tools and a knowledge base", "Dub a recorded lecture into another language"],
		17	+ "advantages": ["Broad audio product range under one credit pool", "Developer API alongside no-code tools", "Agent platform includes telephony"],
		18	+ "limitations": ["Hosted only; audio is processed on vendor servers", "Credit-based accounting complicates cost estimates", "Voice cloning subject to consent and usage policies"],
		19	+ "prerequisites": ["ElevenLabs account; paid plan for commercial use and cloning"],
		20	+ "audiences": ["Content creators and educators", "Developers building voice agents", "Localization teams"],
		21	+ "alternatives": ["whisper", "openai-platform", "gemini-api"],
		22	+ "categories": [{ "slug": "speech-vision-multimodal", "primary": true }],
		23	+ "tags": ["speech", "text-to-speech", "voice-agents", "api", "python", "typescript"],
		24	+ "use_cases": ["build-agents"],
		25	+ "operating_systems": ["web", "any"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["web", "api", "sdk"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["Twilio", "Model Context Protocol", "LangChain", "Vercel AI SDK"],
		30	+ "data_formats": ["MP3", "WAV", "PCM", "Opus", "SRT"],
		31	+ "languages": ["Python", "TypeScript"],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["freemium", "paid", "usage-based", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://elevenlabs.io/", "type": "official_site", "title": "ElevenLabs", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://elevenlabs.io/docs/overview/intro", "type": "official_docs", "title": "ElevenLabs documentation", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://elevenlabs.io/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Free, Starter, Creator, Pro, Scale, Business, Enterprise" },
		40	+ { "url": "https://github.com/elevenlabs/elevenlabs-python", "type": "repository", "title": "elevenlabs-python", "supports": ["languages"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "uncertainty_note": "Integration list is based on documentation navigation and may be incomplete.",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-A"
		50	+}

added content/tools/elicit.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "elicit",
		3	+ "name": "Elicit",
		4	+ "aliases": ["Elicit.org", "Elicit.com"],
		5	+ "vendor": { "name": "Elicit", "slug": "elicit", "website": "https://elicit.com" },
		6	+ "homepage_url": "https://elicit.com/",
		7	+ "docs_url": "https://support.elicit.com/en/",
		8	+ "pricing_url": "https://elicit.com/pricing",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "AI research assistant that finds papers, extracts structured data from them into tables and runs systematic-review style workflows and reports",
		12	+ "description": "Elicit is a hosted AI assistant for evidence synthesis. Its core workflow is to search a large corpus of academic papers for a question, screen the results, and extract user-defined fields from each paper into a table, with every answer linked to the passage it came from. Around that it offers chat with full-text papers, research reports generated through a process modelled on systematic reviews, a dedicated systematic-review mode that automates screening and extraction, a library for reusing sources, and \"routines\" that re-run a search as new evidence appears. Zotero import and an API are available on paid tiers.\n\nPlans are tiered: a free Basic plan with limited usage, per-user Pro and Scale plans billed monthly or yearly, and an Enterprise plan for companies and schools. Elicit does not name its underlying bibliographic sources on its public pages.\n\nOutputs are generated by language models, so extracted values must be spot-checked against the source, and the tool works best for empirical literatures with consistent reporting.",
		13	+ "capabilities": ["Paper search with AI summaries and citations", "Custom data extraction into tables", "Systematic-review workflow with screening and extraction", "Research reports with templates", "Chat with uploaded or found full texts", "Routines that keep a search current", "Zotero import and API access (paid)"],
		14	+ "workflows": ["Rapid evidence table for a grant proposal", "Screening and extraction stage of a systematic review"],
		15	+ "advantages": ["Passage-level provenance for extracted values", "Workflow covers search through report"],
		16	+ "limitations": ["Usage limits on the free plan", "Model-generated extractions require verification", "Data sources not disclosed on public pages"],
		17	+ "prerequisites": ["Account; paid plan for API and systematic-review mode"],
		18	+ "audiences": ["Researchers running literature reviews", "Policy and R&D analysts", "Clinicians"],
		19	+ "alternatives": ["consensus", "scite", "semantic-scholar", "researchrabbit"],
		20	+ "comparison_notes": "Consensus is oriented to question answering with agreement meters, scite to citation-level support/contrast signals; Elicit is distinguished by table-style data extraction across many papers.",
		21	+ "categories": [{ "slug": "academic-discovery", "primary": true }],
		22	+ "tags": ["llm", "rag", "citations", "api"],
		23	+ "use_cases": ["write-papers", "manage-references"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Zotero (import)"],
		29	+ "data_formats": ["CSV", "BibTeX", "PDF"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://elicit.com/", "type": "official_site", "title": "Elicit: AI for research & decision-making", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://elicit.com/pricing", "type": "pricing_page", "title": "Pricing | Elicit", "supports": ["pricing_model", "capabilities", "limitations"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://support.elicit.com/en/", "type": "official_docs", "title": "Elicit Help Center", "supports": ["docs_url"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "medium",
		41	+ "uncertainty_note": "The legal entity behind Elicit is not named on the public pages checked.",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/eslint.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "eslint",
		3	+ "name": "ESLint",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "OpenJS Foundation (ESLint project)", "slug": "openjs-foundation", "website": "https://openjsf.org" },
		6	+ "homepage_url": "https://eslint.org/",
		7	+ "docs_url": "https://eslint.org/docs/latest/",
		8	+ "repo_url": "https://github.com/eslint/eslint",
		9	+ "license_url": "https://github.com/eslint/eslint/blob/main/LICENSE",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Pluggable static analysis tool for JavaScript and TypeScript that finds problems in code through configurable rules and can fix many automatically",
		13	+ "description": "ESLint is a linter for JavaScript and TypeScript maintained under the OpenJS Foundation and released under the MIT license. It parses source files into an abstract syntax tree and runs a configurable set of rules against it, reporting errors or warnings and applying automatic fixes where a rule supports them. Rules cover correctness issues, questionable patterns and style, and are grouped into shareable configurations published as npm packages.\n\nThe plugin system is the reason for its reach: typescript-eslint adds type-aware rules, and plugins exist for React, Vue, Node.js, imports, accessibility and most frameworks. Since version 9 the default configuration format is the flat `eslint.config.js` file, which replaced the older `.eslintrc` hierarchy; the migration is a common upgrade task in existing projects. ESLint runs from the command line, in CI and inside editors through the official extension. Its limitations are speed on large codebases, especially with type-aware rules, and configuration complexity when many plugins interact; this is the space where Biome positions itself as a faster alternative, and ESLint has in turn added language plugins for JSON, Markdown and CSS to broaden its scope.",
		14	+ "capabilities": ["Configurable rules with automatic fixes", "Plugin ecosystem including type-aware TypeScript rules", "Shareable configurations distributed via npm", "Flat configuration file (eslint.config.js)", "Editor integration and CI reporting formats", "Language plugins for JSON, Markdown and CSS"],
		15	+ "workflows": ["Enforce a shared rule set across a monorepo", "Fail CI on lint errors and auto-fix locally on save", "Add type-aware rules to a TypeScript project"],
		16	+ "advantages": ["Largest rule and plugin ecosystem for JavaScript", "Highly configurable", "MIT license, foundation governance"],
		17	+ "limitations": ["Slower than Rust-based linters on large codebases", "Configuration can become complex with many plugins", "Flat config migration required for older projects"],
		18	+ "prerequisites": ["Node.js and npm, pnpm or Bun"],
		19	+ "audiences": ["JavaScript and TypeScript developers", "Teams enforcing coding standards"],
		20	+ "alternatives": ["biome", "prettier"],
		21	+ "comparison_notes": "Biome combines linting and formatting in one Rust binary and is considerably faster, but supports fewer rules and plugins than the ESLint ecosystem. Prettier is a formatter rather than a linter; the two are commonly used together with ESLint handling correctness rules and Prettier handling layout.",
		22	+ "categories": [{ "slug": "testing-qa", "primary": true }],
		23	+ "tags": ["javascript", "typescript", "linting", "open-source", "cli"],
		24	+ "use_cases": [],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["cli", "library", "ide-extension"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["TypeScript", "VS Code", "Prettier", "GitHub Actions", "React", "Vue"],
		30	+ "data_formats": ["JavaScript", "TypeScript", "JSON", "Markdown", "CSS"],
		31	+ "languages": ["JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://eslint.org/", "type": "official_site", "title": "ESLint - Pluggable JavaScript Linter", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://eslint.org/docs/latest/", "type": "official_docs", "title": "ESLint documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/eslint/eslint/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/etherscan.json +139 −0

				@@ -0,0 +1,139 @@
		1	+{
		2	+ "slug": "etherscan",
		3	+ "name": "Etherscan",
		4	+ "aliases": [
		5	+ "Etherscan API"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Etherscan",
		9	+ "slug": "etherscan",
		10	+ "website": "https://etherscan.io"
		11	+ },
		12	+ "homepage_url": "https://etherscan.io/",
		13	+ "docs_url": "https://docs.etherscan.io/",
		14	+ "pricing_url": "https://etherscan.io/api/pricing",
		15	+ "privacy_url": "https://etherscan.io/privacyPolicy",
		16	+ "product_type": "api-service",
		17	+ "product_status": "active",
		18	+ "summary": "Ethereum block explorer and multichain REST API exposing balances, transactions, token transfers, verified contract source, logs and gas data",
		19	+ "description": "Etherscan is the most widely used block explorer for Ethereum and, through its API, a data service covering dozens of EVM-compatible chains with a single API key and a chain identifier parameter. The website lets anyone inspect blocks, transactions, addresses, tokens and verified smart-contract source code; the REST API returns the same information as JSON for account balances and transaction lists, token transfers, contract ABIs and source, event logs, gas oracle estimates and network statistics, plus proxied JSON-RPC calls. Rate limits vary by plan, from a free tier for light use to paid tiers for higher throughput. It is used by wallets, analytics teams and researchers studying on-chain activity. Data is served from Etherscan's indexers rather than your own node, so availability and historical depth depend on the provider, and bulk historical extraction is better served by node access or dedicated datasets.",
		20	+ "capabilities": [
		21	+ "Block, transaction, address and token exploration on the web",
		22	+ "Multichain REST API with one key across EVM networks",
		23	+ "Verified contract source code and ABIs",
		24	+ "Event log queries and internal transactions",
		25	+ "Gas price oracle and network statistics",
		26	+ "Proxy endpoints for JSON-RPC methods"
		27	+ ],
		28	+ "workflows": [
		29	+ "Pull a wallet's transaction history for an empirical study",
		30	+ "Fetch a contract ABI to decode events in a pipeline"
		31	+ ],
		32	+ "advantages": [
		33	+ "Widely trusted explorer with verified-source registry",
		34	+ "Single key for many chains"
		35	+ ],
		36	+ "limitations": [
		37	+ "Rate limits by plan; bulk history is slow through the API",
		38	+ "Dependence on a third-party indexer",
		39	+ "EVM chains only"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Etherscan account and API key"
		43	+ ],
		44	+ "audiences": [
		45	+ "Blockchain developers",
		46	+ "Crypto researchers and analysts"
		47	+ ],
		48	+ "alternatives": [
		49	+ "kraken-api",
		50	+ "world-bank-data"
		51	+ ],
		52	+ "comparison_notes": "Kraken's API covers exchange trading and prices rather than on-chain state. Within the open-data category Etherscan is unusual in indexing a public ledger instead of government statistics; running your own node or using a blockchain dataset is the main alternative for bulk work.",
		53	+ "categories": [
		54	+ {
		55	+ "slug": "open-public-data",
		56	+ "primary": true
		57	+ }
		58	+ ],
		59	+ "tags": [
		60	+ "blockchain",
		61	+ "ethereum",
		62	+ "api",
		63	+ "crypto",
		64	+ "explorer"
		65	+ ],
		66	+ "use_cases": [
		67	+ "query-blockchain-data"
		68	+ ],
		69	+ "operating_systems": [
		70	+ "web",
		71	+ "any"
		72	+ ],
		73	+ "execution_modes": [
		74	+ "cloud"
		75	+ ],
		76	+ "interfaces": [
		77	+ "web",
		78	+ "api"
		79	+ ],
		80	+ "deployment_models": [
		81	+ "saas"
		82	+ ],
		83	+ "integrations": [
		84	+ "web3.py",
		85	+ "ethers.js",
		86	+ "Hardhat verification"
		87	+ ],
		88	+ "data_formats": [
		89	+ "JSON"
		90	+ ],
		91	+ "languages": [],
		92	+ "source_model": "proprietary",
		93	+ "pricing_model": [
		94	+ "freemium",
		95	+ "paid",
		96	+ "usage-based"
		97	+ ],
		98	+ "pricing_checked_at": "2026-11-02",
		99	+ "self_hostable": false,
		100	+ "sources": [
		101	+ {
		102	+ "url": "https://etherscan.io/",
		103	+ "type": "official_site",
		104	+ "supports": [
		105	+ "name",
		106	+ "summary"
		107	+ ],
		108	+ "checked_at": "2026-11-02",
		109	+ "title": "Etherscan"
		110	+ },
		111	+ {
		112	+ "url": "https://docs.etherscan.io/",
		113	+ "type": "official_docs",
		114	+ "supports": [
		115	+ "capabilities",
		116	+ "interfaces"
		117	+ ],
		118	+ "checked_at": "2026-11-02",
		119	+ "title": "Etherscan API documentation"
		120	+ },
		121	+ {
		122	+ "url": "https://etherscan.io/api/pricing",
		123	+ "type": "pricing_page",
		124	+ "supports": [
		125	+ "pricing_model",
		126	+ "limitations"
		127	+ ],
		128	+ "checked_at": "2026-11-02",
		129	+ "title": "Etherscan API plans"
		130	+ }
		131	+ ],
		132	+ "confidence": "high",
		133	+ "depth": "standard",
		134	+ "featured": false,
		135	+ "discovery_method": "editorial-research",
		136	+ "editorial_status": "reviewed",
		137	+ "visibility": "public",
		138	+ "author": "batch-F"
		139	+}

added content/tools/eurostat.json +145 −0

				@@ -0,0 +1,145 @@
		1	+{
		2	+ "slug": "eurostat",
		3	+ "name": "Eurostat",
		4	+ "aliases": [
		5	+ "Eurostat Data Browser",
		6	+ "Eurostat API"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "European Commission — Eurostat",
		10	+ "slug": "eurostat",
		11	+ "website": "https://ec.europa.eu/eurostat"
		12	+ },
		13	+ "homepage_url": "https://ec.europa.eu/eurostat",
		14	+ "docs_url": "https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access",
		15	+ "license_url": "https://ec.europa.eu/eurostat/web/main/help/copyright-notice",
		16	+ "product_type": "data-service",
		17	+ "product_status": "active",
		18	+ "summary": "Statistical office of the European Union publishing harmonised EU and member-state data through the Data Browser, bulk downloads and SDMX/JSON APIs",
		19	+ "description": "Eurostat is the statistical office of the European Union, part of the European Commission, and the reference source for harmonised statistics on EU and EFTA countries and their regions. Its database covers national accounts, prices, labour, population, housing, energy, environment and regional indicators at NUTS levels, with long time series and common definitions across countries. Data is explored in the Data Browser and retrieved programmatically through the API, which serves datasets in SDMX 2.1 and 3.0 as well as JSON-stat, alongside bulk download facilities and catalogue metadata; packages such as eurostat for Python and R wrap these endpoints. Reuse is permitted under the Commission's reuse policy with attribution. Dataset codes and dimension structures take time to learn, large extractions must be chunked within API limits, and coverage is confined to Europe.",
		20	+ "capabilities": [
		21	+ "Harmonised EU and member-state statistics including regional NUTS data",
		22	+ "Data Browser for interactive exploration and export",
		23	+ "SDMX 2.1/3.0 and JSON-stat API access",
		24	+ "Bulk download facility and metadata catalogue",
		25	+ "Wrappers for Python and R"
		26	+ ],
		27	+ "workflows": [
		28	+ "Pull harmonised house price indices for several countries into one frame",
		29	+ "Download regional GDP by NUTS 2 for a spatial model"
		30	+ ],
		31	+ "advantages": [
		32	+ "Cross-country comparability by design",
		33	+ "Open reuse policy",
		34	+ "Standards-based APIs"
		35	+ ],
		36	+ "limitations": [
		37	+ "Europe-only coverage",
		38	+ "Dataset and dimension codes have a learning curve",
		39	+ "API response size limits require chunked queries"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "HTTP client or wrapper package"
		43	+ ],
		44	+ "audiences": [
		45	+ "Economists studying Europe",
		46	+ "Policy analysts",
		47	+ "Students"
		48	+ ],
		49	+ "alternatives": [
		50	+ "imf-data",
		51	+ "world-bank-data",
		52	+ "statistics-canada",
		53	+ "fred"
		54	+ ],
		55	+ "comparison_notes": "IMF Data and World Bank Open Data are global in scope but thinner per country; Eurostat offers regional and harmonised detail for Europe only. Statistics Canada plays the equivalent national role for Canada.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "open-public-data",
		59	+ "primary": true
		60	+ }
		61	+ ],
		62	+ "tags": [
		63	+ "open-data",
		64	+ "statistics",
		65	+ "europe",
		66	+ "sdmx",
		67	+ "api",
		68	+ "econometrics"
		69	+ ],
		70	+ "use_cases": [
		71	+ "access-public-statistics",
		72	+ "write-papers"
		73	+ ],
		74	+ "operating_systems": [
		75	+ "web",
		76	+ "any"
		77	+ ],
		78	+ "execution_modes": [
		79	+ "cloud"
		80	+ ],
		81	+ "interfaces": [
		82	+ "web",
		83	+ "api"
		84	+ ],
		85	+ "deployment_models": [
		86	+ "saas"
		87	+ ],
		88	+ "integrations": [
		89	+ "Python (eurostat)",
		90	+ "R (eurostat)",
		91	+ "SDMX clients"
		92	+ ],
		93	+ "data_formats": [
		94	+ "SDMX-ML",
		95	+ "JSON-stat",
		96	+ "TSV",
		97	+ "CSV"
		98	+ ],
		99	+ "languages": [],
		100	+ "source_model": "proprietary",
		101	+ "pricing_model": [
		102	+ "free"
		103	+ ],
		104	+ "self_hostable": false,
		105	+ "sources": [
		106	+ {
		107	+ "url": "https://ec.europa.eu/eurostat",
		108	+ "type": "official_site",
		109	+ "supports": [
		110	+ "name",
		111	+ "summary"
		112	+ ],
		113	+ "checked_at": "2026-11-02",
		114	+ "title": "Eurostat"
		115	+ },
		116	+ {
		117	+ "url": "https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access",
		118	+ "type": "official_docs",
		119	+ "supports": [
		120	+ "capabilities",
		121	+ "interfaces",
		122	+ "data_formats"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "API — Data access"
		126	+ },
		127	+ {
		128	+ "url": "https://ec.europa.eu/eurostat/web/main/help/copyright-notice",
		129	+ "type": "policy_page",
		130	+ "supports": [
		131	+ "pricing_model",
		132	+ "advantages"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "Eurostat copyright notice"
		136	+ }
		137	+ ],
		138	+ "confidence": "high",
		139	+ "depth": "standard",
		140	+ "featured": false,
		141	+ "discovery_method": "editorial-research",
		142	+ "editorial_status": "reviewed",
		143	+ "visibility": "public",
		144	+ "author": "batch-F"
		145	+}

added content/tools/eviews.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "eviews",
		3	+ "name": "EViews",
		4	+ "aliases": ["Econometric Views"],
		5	+ "vendor": { "name": "S&P Global (EViews)", "slug": "sp-global", "website": "https://www.eviews.com" },
		6	+ "homepage_url": "https://www.eviews.com/",
		7	+ "docs_url": "https://www.eviews.com/home.html",
		8	+ "pricing_url": "https://www.eviews.com/general/prices/prices.html",
		9	+ "product_type": "application",
		10	+ "product_status": "active",
		11	+ "summary": "Commercial Windows econometrics package for time-series estimation, forecasting and macro modelling, sold as single-user, volume, University and free Student Lite editions",
		12	+ "description": "EViews is a commercial econometrics package, now published under S&P Global, oriented to time-series analysis, forecasting and structural macroeconomic modelling. Its object-oriented interface organizes series, equations, VARs, models and graphs in workfiles, and a command language supports batch programs. EViews 14 is the current release; headline additions include JDemetra+ seasonal adjustment, Prophet forecasting, quantile ARDL, MIDAS GARCH, elastic-net enhancements, outlier detection, the boosted Hodrick-Prescott filter, trend and break tests, bubble tests and local-projection impulse responses, alongside long-standing strengths in VAR/VECM, state-space and panel estimation and database connectivity.\n\nEViews 14 unified the former Standard and Enterprise commercial licences into one product; licensing is per single user (commercial or academic pricing), commercial and academic volume licences, a subscription University Edition and a free Student Version Lite with usage limits. The software is Windows-native, so macOS users run it in a virtual machine. It is common in central banks, forecasting shops and economics teaching, less so in research that favours scripting-first environments.",
		13	+ "capabilities": ["Time-series estimation: ARIMA, VAR/VECM, GARCH family, state space", "Forecasting and model simulation with scenario solving", "Panel and pooled estimation", "Seasonal adjustment (X-13, JDemetra+)", "Database links and data import from major providers", "Command language and batch programs", "Local-projection impulse responses and structural break tests"],
		14	+ "workflows": ["Macroeconomic forecasting model maintained in a workfile", "Teaching time-series econometrics with the University Edition"],
		15	+ "advantages": ["Interface designed around time-series workflows", "Free Student Lite and University Edition for teaching"],
		16	+ "limitations": ["Windows only", "Commercial licence for full use", "Smaller scripting ecosystem than R or Python"],
		17	+ "prerequisites": ["Windows PC or virtual machine", "Licence or Student Lite registration"],
		18	+ "audiences": ["Macroeconomists and forecasters", "Central-bank and policy analysts", "Economics students"],
		19	+ "alternatives": ["stata", "gretl", "r", "statsmodels", "arch"],
		20	+ "comparison_notes": "Stata covers broader microeconometrics with cross-platform support; gretl is a free, open-source GUI package with similar time-series focus; R and Python's statsmodels/arch are scripting-based open-source alternatives.",
		21	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }, { "slug": "math-stats-tools" }],
		22	+ "tags": ["econometrics", "time-series", "forecasting", "proprietary"],
		23	+ "use_cases": ["estimate-causal-effects", "write-papers"],
		24	+ "operating_systems": ["windows"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["desktop", "cli"],
		27	+ "deployment_models": ["desktop"],
		28	+ "integrations": ["Excel", "ODBC databases", "FRED", "Haver Analytics", "R and Python (COM/external)"],
		29	+ "data_formats": ["EViews workfile (.wf1)", "Excel", "CSV", "Stata .dta", "HTML"],
		30	+ "languages": ["EViews command language"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["paid", "academic", "freemium"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.eviews.com/", "type": "official_site", "title": "EViews.com", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.eviews.com/home.html", "type": "official_docs", "title": "EViews.com – What's New in EViews 14", "supports": ["capabilities", "aliases"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.eviews.com/general/prices/prices.html", "type": "pricing_page", "title": "EViews 14 Pricing", "supports": ["pricing_model", "description"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "medium",
		41	+ "uncertainty_note": "Integration list reflects widely documented EViews connectors; specific provider links were not individually re-verified. The site footer credits S&P Global.",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/exa.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "exa",
		3	+ "name": "Exa",
		4	+ "aliases": ["Exa AI", "Metaphor"],
		5	+ "vendor": { "name": "Exa Labs", "slug": "exa-labs", "website": "https://exa.ai/" },
		6	+ "homepage_url": "https://exa.ai/",
		7	+ "docs_url": "https://exa.ai/docs",
		8	+ "repo_url": "https://github.com/exa-labs/exa-py",
		9	+ "pricing_url": "https://exa.ai/pricing",
		10	+ "product_type": "api-service",
		11	+ "product_status": "active",
		12	+ "summary": "Search API for AI agents built on Exa's own web index, offering search, page contents, deep research and asynchronous agent endpoints with Python and JavaScript SDKs",
		13	+ "description": "Exa (formerly Metaphor) is a web search API from Exa Labs designed for programmatic use by language-model applications. Unlike wrappers around consumer search engines, Exa operates its own crawl and index and exposes semantic as well as keyword retrieval. The Search endpoint returns results with optional page text, highlights or summaries trimmed to be token-efficient; Contents fetches full text for any URL; Deep Search reasons across sources and returns structured output; and asynchronous Agent endpoints handle research reports, list building and data enrichment.\n\nDevelopers integrate through the REST API, the `exa-py` and `exa-js` SDKs (MIT-licensed), a hosted MCP server and an installable agent skill. Pricing is pay-as-you-go per request with a free monthly credit allowance and enterprise contracts for volume.\n\nExa is used for research assistants, lead and company discovery, and grounding agents in current web content. It is a proprietary hosted service whose index coverage and ranking are not inspectable, it cannot read paywalled content, and heavy use of content retrieval adds cost on top of search calls.",
		14	+ "capabilities": ["Semantic and keyword web search over a proprietary index", "Full-text, highlights and summaries for result pages", "Deep search with structured output", "Asynchronous research and enrichment agents", "Python and JavaScript SDKs", "Hosted MCP server"],
		15	+ "workflows": ["Find similar companies or papers from an example URL", "Ground an assistant with fresh web sources", "Enrich a spreadsheet of entities with web data"],
		16	+ "advantages": ["Independent index built for machine consumers", "Semantic retrieval beyond keyword matching", "No subscription; pay per request"],
		17	+ "limitations": ["Proprietary hosted service", "Index coverage and ranking are opaque", "Costs grow with content retrieval volume"],
		18	+ "prerequisites": ["API key"],
		19	+ "audiences": ["Agent and RAG developers", "Analysts automating research and discovery"],
		20	+ "alternatives": ["tavily", "brave-search-api", "serpapi"],
		21	+ "categories": [{ "slug": "search-apis", "primary": true }],
		22	+ "tags": ["api", "llm", "agents", "web-search", "embeddings", "python", "typescript", "mcp"],
		23	+ "use_cases": ["search-the-web-programmatically", "build-agents"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["api", "sdk", "mcp-server", "web"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["LangChain", "LlamaIndex", "Vercel AI SDK", "Model Context Protocol", "OpenAI"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": ["Python", "TypeScript", "JavaScript"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://exa.ai/", "type": "official_site", "title": "Exa | Search API for AI Agents", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://exa.ai/docs", "type": "official_docs", "title": "Exa documentation", "supports": ["capabilities", "languages", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://exa.ai/pricing", "type": "pricing_page", "title": "Exa pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/exa-labs/exa-py", "type": "repository", "title": "exa-labs/exa-py", "supports": ["vendor", "languages"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-C"
		48	+}

added content/tools/excalidraw.json +164 −0

				@@ -0,0 +1,164 @@
		1	+{
		2	+ "slug": "excalidraw",
		3	+ "name": "Excalidraw",
		4	+ "aliases": [
		5	+ "Excalidraw+"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Excalidraw",
		9	+ "slug": "excalidraw",
		10	+ "website": "https://excalidraw.com"
		11	+ },
		12	+ "homepage_url": "https://excalidraw.com/",
		13	+ "docs_url": "https://docs.excalidraw.com/",
		14	+ "repo_url": "https://github.com/excalidraw/excalidraw",
		15	+ "pricing_url": "https://plus.excalidraw.com/pricing",
		16	+ "license_url": "https://github.com/excalidraw/excalidraw/blob/master/LICENSE",
		17	+ "product_type": "application",
		18	+ "product_status": "active",
		19	+ "summary": "Open-source virtual whiteboard for hand-drawn-style diagrams with live collaboration, embeddable as a React component, plus a hosted Excalidraw+ service",
		20	+ "description": "Excalidraw is an open-source whiteboard application for sketch-style diagrams, maintained by the Excalidraw team and community. The web app runs entirely in the browser, saves to local storage or exportable .excalidraw JSON files, and offers end-to-end encrypted live collaboration rooms, shape libraries, arrows with binding, text-to-diagram helpers and export to PNG, SVG or clipboard. The editor is also published as an npm package so it can be embedded in other applications, which is how the popular Obsidian plugin and many documentation sites use it. Excalidraw+ is the company's hosted product adding workspaces, cloud storage, presentations and team features on a subscription. The free app has no accounts or persistent cloud storage unless you keep the files yourself, the hand-drawn aesthetic is deliberate and not suited to formal pixel-precise diagrams, and large boards can become slow.",
		21	+ "capabilities": [
		22	+ "Freehand-style shapes, arrows and text with binding",
		23	+ "Live collaboration with end-to-end encryption",
		24	+ "Shape libraries and templates",
		25	+ "Export to PNG, SVG and .excalidraw JSON",
		26	+ "Embeddable React component via npm",
		27	+ "Mermaid-to-Excalidraw diagram conversion"
		28	+ ],
		29	+ "workflows": [
		30	+ "Sketch a system architecture during a call and export SVG into docs",
		31	+ "Embed the editor in an internal tool or Obsidian vault"
		32	+ ],
		33	+ "advantages": [
		34	+ "MIT-licensed and self-hostable",
		35	+ "No account required",
		36	+ "Embeddable in other apps"
		37	+ ],
		38	+ "limitations": [
		39	+ "No persistent cloud storage without Excalidraw+ or your own files",
		40	+ "Sketch aesthetic unsuited to formal diagrams",
		41	+ "Performance drops on very large canvases"
		42	+ ],
		43	+ "prerequisites": [
		44	+ "Modern browser"
		45	+ ],
		46	+ "audiences": [
		47	+ "Engineers and researchers sketching diagrams",
		48	+ "Teams whiteboarding remotely"
		49	+ ],
		50	+ "alternatives": [
		51	+ "draw-io",
		52	+ "mermaid",
		53	+ "figma"
		54	+ ],
		55	+ "comparison_notes": "draw.io produces precise, formal diagrams with extensive shape libraries; Mermaid generates diagrams from text; Figma's FigJam is a commercial whiteboard with deeper workshop features. Excalidraw favours quick, informal sketches and is open source.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "design-prototyping",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "collaboration-communication"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "diagrams",
		67	+ "whiteboard",
		68	+ "open-source",
		69	+ "typescript",
		70	+ "collaboration"
		71	+ ],
		72	+ "use_cases": [
		73	+ "draw-diagrams",
		74	+ "collaborate"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web"
		78	+ ],
		79	+ "execution_modes": [
		80	+ "local",
		81	+ "cloud",
		82	+ "self-hosted"
		83	+ ],
		84	+ "interfaces": [
		85	+ "web",
		86	+ "library"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "saas",
		90	+ "embedded",
		91	+ "on-premises"
		92	+ ],
		93	+ "integrations": [
		94	+ "Obsidian (plugin)",
		95	+ "VS Code extension",
		96	+ "Mermaid",
		97	+ "React"
		98	+ ],
		99	+ "data_formats": [
		100	+ ".excalidraw JSON",
		101	+ "PNG",
		102	+ "SVG"
		103	+ ],
		104	+ "languages": [
		105	+ "TypeScript"
		106	+ ],
		107	+ "source_model": "open-source",
		108	+ "license_spdx": "MIT",
		109	+ "pricing_model": [
		110	+ "open-source",
		111	+ "free",
		112	+ "paid"
		113	+ ],
		114	+ "pricing_checked_at": "2026-11-02",
		115	+ "self_hostable": true,
		116	+ "sources": [
		117	+ {
		118	+ "url": "https://excalidraw.com/",
		119	+ "type": "official_site",
		120	+ "supports": [
		121	+ "name",
		122	+ "summary"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "Excalidraw"
		126	+ },
		127	+ {
		128	+ "url": "https://docs.excalidraw.com/",
		129	+ "type": "official_docs",
		130	+ "supports": [
		131	+ "capabilities",
		132	+ "interfaces"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "Excalidraw developer docs"
		136	+ },
		137	+ {
		138	+ "url": "https://github.com/excalidraw/excalidraw/blob/master/LICENSE",
		139	+ "type": "license_page",
		140	+ "supports": [
		141	+ "license_spdx",
		142	+ "source_model"
		143	+ ],
		144	+ "checked_at": "2026-11-02",
		145	+ "title": "LICENSE (MIT)"
		146	+ },
		147	+ {
		148	+ "url": "https://plus.excalidraw.com/pricing",
		149	+ "type": "pricing_page",
		150	+ "supports": [
		151	+ "pricing_model"
		152	+ ],
		153	+ "checked_at": "2026-11-02",
		154	+ "title": "Excalidraw+ pricing"
		155	+ }
		156	+ ],
		157	+ "confidence": "high",
		158	+ "depth": "standard",
		159	+ "featured": false,
		160	+ "discovery_method": "editorial-research",
		161	+ "editorial_status": "reviewed",
		162	+ "visibility": "public",
		163	+ "author": "batch-F"
		164	+}

added content/tools/exo.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "exo",
		3	+ "name": "exo",
		4	+ "aliases": ["exo-explore", "exo labs"],
		5	+ "vendor": { "name": "Exo Labs", "slug": "exo-labs", "website": "https://exolabs.net/" },
		6	+ "homepage_url": "https://github.com/exo-explore/exo",
		7	+ "docs_url": "https://github.com/exo-explore/exo",
		8	+ "repo_url": "https://github.com/exo-explore/exo",
		9	+ "license_url": "https://github.com/exo-explore/exo/blob/main/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX",
		13	+ "description": "exo is an open-source project from Exo Labs (Apache 2.0) that connects multiple everyday devices into a single cluster for running large language models locally. Devices on the same network, or linked by Thunderbolt cables, discover each other automatically; exo builds a live view of the topology, including memory, link latency and bandwidth, and splits a model across nodes so that models too large for any one machine can still run. It supports tensor parallelism across devices and, on recent macOS versions, RDMA over Thunderbolt 5 to cut inter-node latency.\n\nThe inference backend is MLX with MLX distributed for communication, so Apple Silicon Macs are the primary target; Linux hosts currently run on CPU, with GPU support described as in development. A macOS app and a web dashboard manage the cluster and offer a chat interface, models load from the Hugging Face Hub, and the server exposes OpenAI Chat Completions, OpenAI Responses, Claude Messages and Ollama-compatible endpoints so existing clients work unchanged. Published examples run very large open-weight models across four Mac Studios.\n\nexo is under rapid development: the repository is active daily, all nodes must run the same version, and APIs and installation steps change often. It is well suited to experimenters with several Macs who want to run models beyond a single machine's memory, less so to teams needing a stable, supported serving stack.",
		14	+ "capabilities": ["Automatic device discovery over LAN or Thunderbolt", "Topology-aware model sharding and tensor parallelism", "MLX inference backend with MLX distributed communication", "OpenAI-, Claude- and Ollama-compatible API endpoints", "Web dashboard and macOS app for cluster management", "Model loading from the Hugging Face Hub"],
		15	+ "workflows": ["Run a model larger than one Mac's memory across several Macs", "Point an OpenAI-compatible client at a home cluster", "Benchmark Thunderbolt versus Ethernet interconnects"],
		16	+ "advantages": ["Uses hardware already owned instead of a GPU server", "Open source with a permissive license", "Drop-in API compatibility with common clients"],
		17	+ "limitations": ["Apple Silicon-centric; Linux is CPU-only for now", "Fast-moving project with frequent breaking changes", "All nodes must run identical versions", "No long-term support or stability guarantees"],
		18	+ "prerequisites": ["Two or more Apple Silicon Macs on one network (macOS 15.1 or later for the app)", "Fast interconnect for good performance"],
		19	+ "audiences": ["Experimenters with several Macs", "Researchers exploring distributed local inference"],
		20	+ "alternatives": ["mlx-lm", "ollama", "vllm", "llama-cpp"],
		21	+ "categories": [{ "slug": "distributed-computing", "primary": true }, { "slug": "apple-silicon-ml" }, { "slug": "local-inference" }],
		22	+ "tags": ["apple-silicon", "llm", "distributed-inference", "open-source", "macos", "python"],
		23	+ "use_cases": ["run-local-models", "serve-models", "distribute-computation"],
		24	+ "operating_systems": ["macos", "linux"],
		25	+ "execution_modes": ["local", "self-hosted"],
		26	+ "interfaces": ["desktop", "web", "api", "cli"],
		27	+ "deployment_models": ["on-premises"],
		28	+ "integrations": ["MLX", "Hugging Face Hub", "OpenAI-compatible clients", "Ollama-compatible clients"],
		29	+ "data_formats": ["safetensors / MLX weights"],
		30	+ "languages": ["Python", "Swift"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://github.com/exo-explore/exo", "type": "official_site", "title": "exo-explore/exo README", "supports": ["name", "summary", "capabilities", "limitations", "prerequisites"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://exolabs.net/", "type": "official_site", "title": "Exo Labs", "supports": ["vendor", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/exo-explore/exo/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "medium",
		41	+ "uncertainty_note": "The project is pre-1.0 in its source tree and changes quickly; capabilities described reflect the README on 2026-11-02 and may shift. Exo Labs also lists a business offering but publishes no pricing.",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-C"
		48	+}

added content/tools/express.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "express",
		3	+ "name": "Express",
		4	+ "aliases": ["Express.js", "ExpressJS"],
		5	+ "vendor": { "name": "OpenJS Foundation (Express project)", "slug": "openjs-foundation", "website": "https://openjsf.org" },
		6	+ "homepage_url": "https://expressjs.com/",
		7	+ "docs_url": "https://expressjs.com/en/5x/api/",
		8	+ "repo_url": "https://github.com/expressjs/express",
		9	+ "license_url": "https://github.com/expressjs/express/blob/master/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Minimal, unopinionated web framework for Node.js with routing and middleware, the long-standing default for HTTP servers in the Node ecosystem",
		13	+ "description": "Express is a web application framework for Node.js, created by TJ Holowaychuk in 2010 and now maintained under the OpenJS Foundation with an MIT license. It adds a thin layer over Node's HTTP module: a router that matches paths and methods, a middleware pipeline through which every request flows, and helpers for responses, static files, templating and error handling. Almost everything else, from body parsing to authentication, sessions and validation, comes from middleware packages, many of them maintained by the same project.\n\nBecause of its age and ubiquity, Express is the framework most tutorials, hosting guides and middleware target, and a great many production services and internal tools run on it, typically under PM2 or in containers behind a reverse proxy. Version 5, released after a long gestation, modernized promise handling in routes and dropped legacy Node versions. Limitations include the absence of built-in TypeScript types (provided by the community), no structured validation or OpenAPI generation without additional libraries, and an architecture tied to Node's request and response objects, which makes it less portable to edge runtimes than Web Standard-based frameworks such as Hono.",
		14	+ "capabilities": ["Routing by path and HTTP method", "Middleware pipeline for request processing", "Static file serving and template engine integration", "Error-handling middleware", "Large ecosystem of compatible middleware packages", "Promise-aware route handlers in version 5"],
		15	+ "workflows": ["Build a REST API with JSON middleware and a database client", "Serve a single-page application's static files and API from one process", "Run several Express services under PM2 behind Caddy or nginx"],
		16	+ "advantages": ["Very large ecosystem and documentation base", "Minimal learning curve", "MIT license under foundation governance"],
		17	+ "limitations": ["No built-in TypeScript types or validation", "Tied to Node.js HTTP objects; not portable to edge runtimes", "Slow release cadence historically"],
		18	+ "prerequisites": ["Node.js and npm"],
		19	+ "audiences": ["Node.js backend developers", "Teams maintaining existing services"],
		20	+ "alternatives": ["hono", "fastapi", "nextjs"],
		21	+ "comparison_notes": "Hono offers a similar minimal routing-and-middleware model written for Web Standard APIs and TypeScript, which makes it portable across runtimes. FastAPI is the Python counterpart with validation and OpenAPI generation built in. Next.js route handlers replace a standalone Express server when the API lives next to a React front end.",
		22	+ "categories": [{ "slug": "web-frameworks", "primary": true }, { "slug": "api-development" }],
		23	+ "tags": ["javascript", "typescript", "api", "nodejs", "open-source"],
		24	+ "use_cases": ["host-web-apps"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["self-hosted", "cloud", "local"],
		27	+ "interfaces": ["library", "api"],
		28	+ "deployment_models": ["on-premises", "managed-cloud"],
		29	+ "integrations": ["Node.js", "PM2", "Passport", "Prisma", "Drizzle ORM", "Docker"],
		30	+ "data_formats": ["JSON", "HTML", "Form data"],
		31	+ "languages": ["JavaScript", "TypeScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://expressjs.com/", "type": "official_site", "title": "Express - Node.js web application framework", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://expressjs.com/en/5x/api/", "type": "official_docs", "title": "Express 5.x API reference", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/expressjs/express/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/fail2ban.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "fail2ban",
		3	+ "name": "Fail2Ban",
		4	+ "aliases": ["fail2ban"],
		5	+ "vendor": { "name": "Fail2Ban project", "slug": "fail2ban-project", "website": "https://github.com/fail2ban/fail2ban" },
		6	+ "homepage_url": "https://github.com/fail2ban/fail2ban",
		7	+ "docs_url": "https://github.com/fail2ban/fail2ban/wiki",
		8	+ "repo_url": "https://github.com/fail2ban/fail2ban",
		9	+ "license_url": "https://github.com/fail2ban/fail2ban/blob/master/COPYING",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Log-scanning intrusion-prevention daemon that temporarily bans IP addresses showing repeated authentication failures by updating firewall rules",
		13	+ "description": "Fail2Ban is an open-source intrusion-prevention tool, written in Python and licensed under GPL-2.0 or later, that watches log files such as the SSH authentication log or web server access logs, matches failure patterns with regular expressions, and after a configurable number of hits within a time window bans the offending address for a period by inserting firewall rules. Jails pair a filter (what to match) with an action (what to do), and the package ships with filters for sshd, many mail servers, NGINX, Apache and other services, plus actions for iptables, nftables, firewalld, pf and even email notification. IPv6 is supported.\n\nIt is a standard addition to any server with sshd exposed to the internet, cutting the volume of brute-force attempts and the noise in logs. The fail2ban.org domain now points to the GitHub repository, which hosts the documentation wiki.\n\nFail2Ban reacts only to what appears in local logs, so it has no notion of reputation shared across machines, can lock out legitimate users behind NAT, and must be tuned when log formats change.",
		14	+ "capabilities": ["Regex-based log filters for sshd, web servers, mail servers and custom services", "Time-windowed thresholds with configurable ban durations and recidive escalation", "Actions for iptables, nftables, firewalld, pf and notification hooks", "IPv4 and IPv6 support", "fail2ban-client for inspecting and managing jails at runtime"],
		15	+ "workflows": ["Protect an internet-facing SSH server from password guessing", "Ban clients hammering a login endpoint behind NGINX", "Escalate repeat offenders with the recidive jail"],
		16	+ "advantages": ["Simple to install and enable with sane defaults", "Works with any service that writes logs", "Lightweight and packaged by every major distribution"],
		17	+ "limitations": ["Local signals only; no shared threat intelligence", "Can block legitimate users sharing an IP address", "Filters need maintenance when log formats change"],
		18	+ "prerequisites": ["Python 3", "Root access to manage the firewall"],
		19	+ "audiences": ["Linux and BSD server administrators", "Self-hosters exposing SSH or web logins"],
		20	+ "alternatives": ["crowdsec"],
		21	+ "comparison_notes": "CrowdSec covers the same detect-and-ban loop but adds behavior scenarios, remediation components for proxies and CDNs, and a crowd-sourced reputation blocklist; Fail2Ban remains the simpler, dependency-free choice for a single host.",
		22	+ "categories": [{ "slug": "security-tools", "primary": true }],
		23	+ "tags": ["intrusion-prevention", "ssh", "firewall", "open-source", "self-hosted", "python", "linux", "security"],
		24	+ "use_cases": ["harden-servers"],
		25	+ "operating_systems": ["linux"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["iptables", "nftables", "firewalld", "pf", "OpenSSH", "NGINX", "Postfix"],
		30	+ "data_formats": ["INI configuration", "log files"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-2.0-or-later",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://github.com/fail2ban/fail2ban", "type": "official_site", "title": "fail2ban/fail2ban on GitHub", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02", "note": "www.fail2ban.org redirects to this repository." },
		38	+ { "url": "https://github.com/fail2ban/fail2ban/wiki", "type": "official_docs", "title": "Fail2Ban Wiki", "supports": ["capabilities", "workflows"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/fail2ban/fail2ban/blob/master/COPYING", "type": "license_page", "title": "Fail2Ban COPYING (GPL-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/fastapi.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "fastapi",
		3	+ "name": "FastAPI",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Sebastián Ramírez (tiangolo) and FastAPI contributors", "slug": "fastapi-project", "website": "https://fastapi.tiangolo.com" },
		6	+ "homepage_url": "https://fastapi.tiangolo.com/",
		7	+ "docs_url": "https://fastapi.tiangolo.com/",
		8	+ "repo_url": "https://github.com/fastapi/fastapi",
		9	+ "license_url": "https://github.com/fastapi/fastapi/blob/master/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Python web framework for building HTTP APIs from type-annotated functions, with automatic validation through Pydantic and generated OpenAPI documentation",
		13	+ "description": "FastAPI is an open-source Python web framework created by Sebastián Ramírez and released under the MIT license. It is built on Starlette for the ASGI web layer and on Pydantic for data validation. Endpoint functions declare their parameters and bodies with standard Python type hints; FastAPI uses those annotations to parse and validate requests, serialize responses, and generate an OpenAPI document that is served with interactive Swagger UI and ReDoc pages without extra code.\n\nThe framework supports asynchronous and synchronous handlers, dependency injection for shared resources such as database sessions and authentication, background tasks, WebSockets, and middleware from the ASGI ecosystem. Applications run under an ASGI server such as Uvicorn, and the `fastapi` command-line tool wraps development and production serving. It is a frequent choice for serving machine-learning models and data services, for the backend of research tools, and for API layers over DuckDB, PostgreSQL or Parquet archives, because the same Pydantic models document, validate and type the API.\n\nFastAPI is deliberately small: it does not include an ORM, an admin interface, migrations or templating beyond what Starlette offers, so projects assemble those from SQLAlchemy, SQLModel, Alembic and others. That is also its main limitation compared with full-stack frameworks such as Django. Other caveats include the single-maintainer history of the project (now with a growing team and a company around it), occasional breaking changes between Pydantic major versions that propagate to applications, and the care needed when mixing blocking code with async handlers.",
		14	+ "capabilities": ["Request validation and serialization from Python type hints", "Automatic OpenAPI document with Swagger UI and ReDoc", "Dependency injection for resources and authentication", "Async and sync endpoint support on ASGI", "WebSockets, background tasks and streaming responses", "Security utilities for OAuth2, API keys and JWT patterns", "Command-line tool for development and production serving"],
		15	+ "workflows": ["Expose a machine-learning model as a typed HTTP endpoint", "Serve a data API over DuckDB or PostgreSQL with Pydantic models", "Generate a typed TypeScript client from the OpenAPI document", "Deploy under Uvicorn behind a reverse proxy with PM2 or a container"],
		16	+ "advantages": ["Validation and documentation derived from one set of type hints", "High-quality, tutorial-style official documentation", "Async-first with good performance for Python", "MIT license"],
		17	+ "limitations": ["No bundled ORM, admin or migrations", "Pydantic major upgrades can require application changes", "Blocking code in async handlers degrades throughput", "Historically dependent on a small core team"],
		18	+ "prerequisites": ["Python; an ASGI server such as Uvicorn"],
		19	+ "audiences": ["Python backend developers", "Data scientists serving models and datasets", "Teams building typed internal APIs"],
		20	+ "alternatives": ["express", "hono", "nextjs"],
		21	+ "comparison_notes": "Express and Hono are the JavaScript and TypeScript counterparts: Express is minimal and unopinionated with validation left to middleware, while Hono is a small, standards-based framework that can generate OpenAPI through plugins. Next.js API routes offer a way to co-locate endpoints with a React front end. Within Python, Django provides a full-stack alternative with ORM and admin, and Flask a minimal synchronous one; FastAPI occupies the typed, async, API-first position.",
		22	+ "categories": [{ "slug": "api-development", "primary": true }, { "slug": "web-frameworks" }],
		23	+ "tags": ["python", "api", "openapi", "async", "open-source"],
		24	+ "use_cases": ["serve-models", "host-web-apps", "build-agents"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["self-hosted", "cloud", "local"],
		27	+ "interfaces": ["library", "cli", "api"],
		28	+ "deployment_models": ["on-premises", "managed-cloud"],
		29	+ "integrations": ["Pydantic", "Starlette", "Uvicorn", "SQLAlchemy", "SQLModel", "OpenAPI", "Docker", "PM2"],
		30	+ "data_formats": ["JSON", "OpenAPI", "Form data", "WebSocket"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://fastapi.tiangolo.com/", "type": "official_site", "title": "FastAPI", "supports": ["name", "summary", "capabilities", "description"], "checked_at": "2026-11-02", "note": "Homepage and documentation are the same site" },
		38	+ { "url": "https://github.com/fastapi/fastapi", "type": "repository", "title": "fastapi/fastapi", "supports": ["repo_url", "source_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/fastapi/fastapi/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/figma.json +181 −0

				@@ -0,0 +1,181 @@
		1	+{
		2	+ "slug": "figma",
		3	+ "name": "Figma",
		4	+ "aliases": [
		5	+ "FigJam",
		6	+ "Figma Design",
		7	+ "Figma Dev Mode"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Figma, Inc.",
		11	+ "slug": "figma",
		12	+ "website": "https://www.figma.com"
		13	+ },
		14	+ "homepage_url": "https://www.figma.com/",
		15	+ "docs_url": "https://help.figma.com/",
		16	+ "pricing_url": "https://www.figma.com/pricing/",
		17	+ "privacy_url": "https://www.figma.com/legal/privacy/",
		18	+ "security_url": "https://www.figma.com/security/",
		19	+ "product_type": "platform",
		20	+ "product_status": "active",
		21	+ "summary": "Browser-based collaborative interface design platform with vector editing, components, prototyping, FigJam whiteboards, Dev Mode and a plugin and REST API",
		22	+ "description": "Figma is a cloud-based design platform from Figma, Inc. and the dominant tool in the design and prototyping category for user-interface work. It runs in the browser and in desktop wrappers for macOS and Windows, with mobile apps for viewing and mirroring. Designers draw vector interfaces with auto layout, build reusable components and variables shared through team libraries, and create clickable prototypes with transitions and conditional logic. Multiple people edit the same file simultaneously with cursors, comments and version history.\n\nAround the core editor sit FigJam for whiteboarding and workshops, Figma Slides for presentations, Dev Mode for engineers to inspect measurements, tokens and generated code snippets, and newer AI-assisted features for generating layouts and prototypes. A plugin API runs JavaScript inside the editor, and a REST API exposes files, nodes, comments, variables and rendered images, which allows design-token pipelines and documentation sites to pull from the source file. The Community hub distributes templates, plugins and UI kits.\n\nTeams use Figma as the shared source of truth between product, design and engineering; researchers and lecturers use it for mockups, figures and teaching materials. Plans range from a free tier to Professional, Organization and Enterprise, priced per editor seat and product.\n\nConstraints: files live in Figma's cloud with limited offline capability and proprietary .fig export; per-seat pricing across several products adds up; very large files and libraries can slow the editor; and design-to-code output is a starting point rather than production code, so hand-off still depends on team conventions.",
		23	+ "capabilities": [
		24	+ "Vector UI design with auto layout, components and variables",
		25	+ "Interactive prototyping with transitions and logic",
		26	+ "Real-time multiplayer editing, comments and version history",
		27	+ "FigJam whiteboards and Figma Slides",
		28	+ "Dev Mode inspection with code snippets and design tokens",
		29	+ "Plugin API and REST API for automation",
		30	+ "Community templates, plugins and UI kits"
		31	+ ],
		32	+ "workflows": [
		33	+ "Design a responsive app screen set from a shared component library",
		34	+ "Run a remote workshop in FigJam and convert outcomes to designs",
		35	+ "Export design tokens to code through the REST API"
		36	+ ],
		37	+ "advantages": [
		38	+ "Browser-based collaboration with no installation",
		39	+ "Rich ecosystem of plugins and community files",
		40	+ "Single file as the source for design and hand-off"
		41	+ ],
		42	+ "limitations": [
		43	+ "Cloud-only storage and limited offline mode",
		44	+ "Per-seat pricing across multiple products",
		45	+ "Large files can degrade performance",
		46	+ "Generated code requires engineering refinement"
		47	+ ],
		48	+ "prerequisites": [
		49	+ "Figma account; modern browser or desktop app"
		50	+ ],
		51	+ "audiences": [
		52	+ "Product and UX designers",
		53	+ "Front-end engineers consuming hand-off",
		54	+ "Educators and researchers producing mockups and figures"
		55	+ ],
		56	+ "alternatives": [
		57	+ "excalidraw",
		58	+ "draw-io",
		59	+ "mermaid",
		60	+ "notion"
		61	+ ],
		62	+ "comparison_notes": "Excalidraw and draw.io are diagramming tools, not interface design systems; they suit sketches and architecture diagrams where Figma would be excessive. Mermaid generates diagrams from text for documentation. Notion embeds Figma files but offers no design tooling. Dedicated competitors such as Sketch or Penpot are not covered in this encyclopedia.",
		63	+ "categories": [
		64	+ {
		65	+ "slug": "design-prototyping",
		66	+ "primary": true
		67	+ },
		68	+ {
		69	+ "slug": "collaboration-communication"
		70	+ }
		71	+ ],
		72	+ "tags": [
		73	+ "design",
		74	+ "prototyping",
		75	+ "ui",
		76	+ "collaboration",
		77	+ "saas",
		78	+ "api",
		79	+ "plugins"
		80	+ ],
		81	+ "use_cases": [
		82	+ "design-interfaces",
		83	+ "collaborate"
		84	+ ],
		85	+ "operating_systems": [
		86	+ "web",
		87	+ "macos",
		88	+ "windows",
		89	+ "ios",
		90	+ "android"
		91	+ ],
		92	+ "execution_modes": [
		93	+ "cloud"
		94	+ ],
		95	+ "interfaces": [
		96	+ "web",
		97	+ "desktop",
		98	+ "mobile",
		99	+ "api"
		100	+ ],
		101	+ "deployment_models": [
		102	+ "saas"
		103	+ ],
		104	+ "integrations": [
		105	+ "Slack",
		106	+ "Jira",
		107	+ "Notion",
		108	+ "Storybook",
		109	+ "GitHub",
		110	+ "Zeplin",
		111	+ "Maze"
		112	+ ],
		113	+ "data_formats": [
		114	+ ".fig",
		115	+ "SVG",
		116	+ "PNG",
		117	+ "PDF",
		118	+ "JSON (REST API)"
		119	+ ],
		120	+ "languages": [
		121	+ "JavaScript/TypeScript (plugins)"
		122	+ ],
		123	+ "source_model": "proprietary",
		124	+ "pricing_model": [
		125	+ "freemium",
		126	+ "paid",
		127	+ "enterprise"
		128	+ ],
		129	+ "pricing_checked_at": "2026-11-02",
		130	+ "self_hostable": false,
		131	+ "sources": [
		132	+ {
		133	+ "url": "https://www.figma.com/",
		134	+ "type": "official_site",
		135	+ "supports": [
		136	+ "name",
		137	+ "summary",
		138	+ "capabilities"
		139	+ ],
		140	+ "checked_at": "2026-11-02",
		141	+ "title": "Figma"
		142	+ },
		143	+ {
		144	+ "url": "https://help.figma.com/",
		145	+ "type": "official_docs",
		146	+ "supports": [
		147	+ "capabilities",
		148	+ "operating_systems"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "Figma Help Center"
		152	+ },
		153	+ {
		154	+ "url": "https://developers.figma.com/",
		155	+ "type": "official_docs",
		156	+ "supports": [
		157	+ "interfaces",
		158	+ "languages"
		159	+ ],
		160	+ "checked_at": "2026-11-02",
		161	+ "title": "Figma for Developers — Plugin and REST APIs"
		162	+ },
		163	+ {
		164	+ "url": "https://www.figma.com/pricing/",
		165	+ "type": "pricing_page",
		166	+ "supports": [
		167	+ "pricing_model",
		168	+ "limitations"
		169	+ ],
		170	+ "checked_at": "2026-11-02",
		171	+ "title": "Figma pricing"
		172	+ }
		173	+ ],
		174	+ "confidence": "high",
		175	+ "depth": "deep",
		176	+ "featured": false,
		177	+ "discovery_method": "editorial-research",
		178	+ "editorial_status": "reviewed",
		179	+ "visibility": "public",
		180	+ "author": "batch-F"
		181	+}

added content/tools/firecrawl.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "firecrawl",
		3	+ "name": "Firecrawl",
		4	+ "aliases": ["mendableai/firecrawl"],
		5	+ "vendor": { "name": "Firecrawl (formerly Mendable)", "slug": "firecrawl", "website": "https://www.firecrawl.dev/" },
		6	+ "homepage_url": "https://www.firecrawl.dev/",
		7	+ "docs_url": "https://docs.firecrawl.dev/",
		8	+ "repo_url": "https://github.com/firecrawl/firecrawl",
		9	+ "license_url": "https://github.com/firecrawl/firecrawl/blob/main/LICENSE",
		10	+ "pricing_url": "https://www.firecrawl.dev/pricing",
		11	+ "product_type": "api-service",
		12	+ "product_status": "active",
		13	+ "summary": "Web data API that scrapes, crawls, maps and searches websites and returns clean Markdown or structured JSON for LLM pipelines, with an AGPL-licensed self-hostable core",
		14	+ "description": "Firecrawl is an API service for turning websites into data that language models can consume. It began as an open-source project from the Mendable team (the GitHub repository moved from `mendableai` to the `firecrawl` organization) and is now a hosted product with an AGPL-3.0-licensed core that can also be self-hosted.\n\nThe API is organized around a few verbs. Scrape fetches one URL and returns Markdown, HTML, links, screenshots, metadata or JSON extracted against a schema; Crawl follows a site recursively and collects every page; Map lists a site's URLs quickly; Search runs a web query and optionally returns page content for each hit; Interact continues a scrape session to click, fill forms and read dynamic content; Parse converts local files such as PDF and Office documents; and an Agent mode gathers data autonomously. The service handles JavaScript rendering, proxies and anti-bot measures and delivers asynchronous results through webhooks. Official SDKs exist for Python and Node.js alongside a CLI, a hosted MCP server for coding agents, and integrations with LangChain, LlamaIndex and other frameworks.\n\nFirecrawl is popular for building retrieval corpora, feeding agents with current web content and monitoring documentation sites. Pricing is credit-based with a free tier, subscription plans, pay-as-you-go top-ups and enterprise agreements.\n\nLimits: the hosted service is proprietary beyond the open core and self-hosting lacks some managed features, credit consumption varies by endpoint and option, and like any scraper it cannot access content that sites block or that requires authenticated sessions it does not have.",
		15	+ "capabilities": ["Scrape a URL to Markdown, HTML, links, screenshots or schema-based JSON", "Recursive site crawl with asynchronous jobs and webhooks", "Fast URL discovery with Map", "Web search with optional page content", "Interactive sessions for clicks and form filling", "Document parsing for PDF and Office files", "Python and Node.js SDKs, CLI and MCP server", "Self-hostable open-source core"],
		16	+ "workflows": ["Build a RAG corpus from a documentation site", "Feed an agent live web pages in Markdown", "Monitor a set of pages for changes", "Extract product fields into JSON with a schema"],
		17	+ "advantages": ["Output tailored to LLM consumption", "One API for scrape, crawl, map and search", "Open core allows self-hosting", "Broad framework and MCP integrations"],
		18	+ "limitations": ["Hosted features exceed what the self-hosted core offers", "Credit costs vary by endpoint and option", "Cannot bypass sites that block or require logins", "AGPL obligations apply when modifying and serving the core"],
		19	+ "prerequisites": ["API key for the hosted service", "Docker for self-hosting"],
		20	+ "audiences": ["Developers building RAG and agent pipelines", "Teams needing clean text from many sites"],
		21	+ "alternatives": ["jina-reader", "tavily", "apify", "scrapfly", "crawlee"],
		22	+ "comparison_notes": "Jina Reader covers the single-URL-to-Markdown case with a simpler prefix-style API and a search endpoint, without full crawl orchestration. Tavily is primarily a search and extraction API for agents, overlapping on search and extract but not on recursive crawling. Apify offers a marketplace of site-specific scrapers and hosted Actors rather than a generic page-to-Markdown API. Scrapfly is a scraping API centred on anti-bot bypass and raw HTML; Crawlee is an open-source library you run and operate yourself.",
		23	+ "categories": [{ "slug": "data-collection-crawling", "primary": true }, { "slug": "search-apis" }],
		24	+ "tags": ["crawler", "api", "llm", "rag", "markdown", "self-hosted", "python", "typescript", "mcp"],
		25	+ "use_cases": ["crawl-websites", "build-agents", "search-the-web-programmatically"],
		26	+ "operating_systems": ["web", "linux"],
		27	+ "execution_modes": ["cloud", "self-hosted"],
		28	+ "interfaces": ["api", "sdk", "cli", "mcp-server", "web"],
		29	+ "deployment_models": ["saas", "on-premises"],
		30	+ "integrations": ["LangChain", "LlamaIndex", "OpenAI", "Model Context Protocol", "Cursor", "Claude Code", "Zapier", "n8n"],
		31	+ "data_formats": ["Markdown", "HTML", "JSON", "Screenshots", "PDF (input)", "DOCX (input)"],
		32	+ "languages": ["Python", "TypeScript", "JavaScript"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "AGPL-3.0-only",
		35	+ "pricing_model": ["freemium", "paid", "usage-based", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.firecrawl.dev/", "type": "official_site", "title": "Firecrawl", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.firecrawl.dev/introduction", "type": "official_docs", "title": "Firecrawl docs – Introduction", "supports": ["capabilities", "integrations", "data_formats", "description"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://www.firecrawl.dev/pricing", "type": "pricing_page", "title": "Firecrawl pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://github.com/firecrawl/firecrawl/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model", "self_hostable"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-C"
		51	+}

added content/tools/firstrate-data.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "firstrate-data",
		3	+ "name": "FirstRate Data",
		4	+ "aliases": ["FirstRateData", "firstratedata.com"],
		5	+ "vendor": { "name": "FirstRate Data LLC", "slug": "firstrate-data", "website": "https://firstratedata.com" },
		6	+ "homepage_url": "https://firstratedata.com/",
		7	+ "docs_url": "https://firstratedata.com/about/FAQ",
		8	+ "license_url": "https://firstratedata.com/about/license",
		9	+ "product_type": "data-service",
		10	+ "product_status": "active",
		11	+ "summary": "Vendor of historical intraday market data (1-minute to daily bars, tick and options) for US stocks, ETFs, futures, indices, crypto and FX, delivered as zipped CSV bundles under a perpetual licence",
		12	+ "description": "FirstRate Data is a Chicago-founded vendor (2017, now a remote team) of historical intraday market data aimed at traders, hedge funds, academic institutions and AI teams. Its catalog covers US stocks including thousands of delisted tickers, ETFs, the most active futures contracts with continuous series, US and international indices, cryptocurrencies, major FX crosses, end-of-day options chains with quotes and Greeks, tick data for recent years, and company fundamentals. Bars are offered at 1-minute, 5-minute, 30-minute, hourly and daily frequencies, with stock histories reaching back to 2000 and futures to 2008; stock and ETF series are adjusted for splits and dividends, futures continuous series for roll gaps, and timestamps are US Eastern (UTC for crypto).\n\nData are sold as one-off purchases or subscriptions to per-asset-class bundles and delivered as zipped CSV files from a personal download page, with daily end-of-day updates and a bundle API that returns archives rather than streaming data; there is no live feed. The site also packages dataset cards, an MCP server and training-data bundles for machine-learning use.\n\nThe licence agreement is notable for research use: it is perpetual once downloaded, allows storage on the subscriber's own or a service provider's servers, permits derivative works such as models, charts, reports and published academic papers, and allows internal redistribution under multi-user licences, while prohibiting resale or redistribution of the raw data and asking for attribution when research is published. Users should expect the quality caveats of any aggregated vendor feed (the agreement disclaims accuracy and completeness), the absence of order-book depth, and the need to manage large CSV archives locally, typically by converting them to Parquet for DuckDB or Polars.",
		13	+ "capabilities": ["Intraday bars from 1-minute to daily for stocks, ETFs, futures, indices, crypto and FX", "Delisted-ticker coverage for survivorship-bias-free studies", "End-of-day options chains with quotes and Greeks", "Tick data for recent history", "Split- and dividend-adjusted series; roll-adjusted continuous futures", "Daily end-of-day updates to purchased bundles", "Zipped CSV delivery via download page and bundle API", "Dataset cards and MCP server for AI workflows"],
		14	+ "workflows": ["Building a minute-bar Parquet lake for microstructure research", "Backtesting strategies across a survivorship-bias-free stock universe", "Teaching high-frequency finance with a departmental multi-user licence", "Event studies around earnings using intraday bars"],
		15	+ "advantages": ["Perpetual licence with explicit permission for published research", "Broad asset coverage in one vendor", "Simple CSV format usable from any language", "One-off purchase option without ongoing fees"],
		16	+ "limitations": ["No live or streaming data", "No order-book depth; bars and trades only", "Raw data may not be redistributed", "Large archives require local storage and conversion"],
		17	+ "prerequisites": ["Purchase of a bundle or subscription", "Storage for multi-gigabyte CSV archives"],
		18	+ "audiences": ["Academic researchers in market microstructure", "Quantitative traders backtesting intraday strategies", "Teams assembling ML training data"],
		19	+ "alternatives": ["polygon-io", "databento", "alpha-vantage", "yfinance", "wrds"],
		20	+ "comparison_notes": "Massive (formerly Polygon.io) and Databento deliver data through APIs with live feeds and, for Databento, full order-book schemas priced by usage, whereas FirstRate Data sells downloadable historical bundles under a perpetual licence. WRDS provides exchange-sourced TAQ data to subscribing institutions; yfinance offers free but unofficial daily data.",
		21	+ "categories": [{ "slug": "market-data-apis", "primary": true }, { "slug": "hf-finance-research" }],
		22	+ "tags": ["market-data", "time-series", "intraday", "csv", "options", "futures"],
		23	+ "use_cases": ["analyze-intraday-data", "access-market-data", "query-parquet-files"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "mcp-server"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Excel", "Python/pandas", "R", "TradeStation", "NinjaTrader", "AmiBroker", "MetaStock"],
		29	+ "data_formats": ["CSV (zipped)"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["paid", "academic"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://firstratedata.com/", "type": "official_site", "title": "FirstRate Data – Historical Intraday Market Data", "supports": ["name", "summary", "capabilities", "data_formats", "integrations"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://firstratedata.com/about/license", "type": "license_page", "title": "License Agreement - FirstRate Data", "supports": ["description", "limitations", "advantages", "vendor"], "checked_at": "2026-11-02", "note": "Perpetual licence; derivative works and published research permitted; raw data redistribution prohibited" },
		38	+ { "url": "https://firstratedata.com/about/firstrate-data", "type": "official_site", "title": "About Us - FirstRate Data", "supports": ["description", "vendor"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://firstratedata.com/about/FAQ", "type": "official_docs", "title": "FAQ - FirstRate Data", "supports": ["docs_url"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "pricing_url omitted: prices are shown per bundle rather than on a single pricing page. 'academic' pricing model reflects multi-user institutional licences described in the licence agreement, not a published academic discount.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/fixest.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "fixest",
		3	+ "name": "fixest",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Laurent Bergé", "slug": "laurent-berge", "website": "https://lrberge.github.io/fixest/" },
		6	+ "homepage_url": "https://lrberge.github.io/fixest/",
		7	+ "docs_url": "https://lrberge.github.io/fixest/",
		8	+ "repo_url": "https://github.com/lrberge/fixest",
		9	+ "license_url": "https://cran.r-project.org/package=fixest",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "R package for fast estimation of OLS, GLM, Poisson, IV and difference-in-differences models with many fixed effects, clustered errors, multiple estimations and publication tables",
		13	+ "description": "fixest is an R package by Laurent Bergé for fast econometric estimation with high-dimensional fixed effects, released under the GPL-3 and available on CRAN. A single formula syntax separates regressors, fixed effects and instruments with pipes and covers ordinary least squares (feols), generalized linear models and Poisson pseudo-maximum likelihood (feglm, fepois), negative binomial, maximum-likelihood models and two-stage least squares, with fixed effects absorbed by an efficient demeaning algorithm that handles millions of observations and several fixed-effect dimensions on a laptop.\n\nThe package is built for applied-microeconomics workflows: six families of variance-covariance estimators including multi-way clustering and Driscoll-Kraay, one-call multiple estimations over sets of dependent variables, regressors, fixed effects and sample splits, lead/lag/difference operators for panels, event-study estimation with interaction syntax and the Sun-Abraham estimator for staggered adoption, coefficient and event-study plots, and etable, which prints regression tables to the console or exports publication-ready LaTeX with full styling control. Version 0.14.2 is current at the time of writing.\n\nfixest has become the default fixed-effects engine in R, displacing lfe, and its syntax has been ported to Python as pyfixest. It is single-machine and in-memory, offers no nonlinear panel estimators beyond GLM families, and its many options and compact syntax have a learning curve; users still reach for other packages for synthetic control or modern heterogeneous-treatment DID estimators.",
		14	+ "capabilities": ["feols, feglm, fepois and fenegbin with absorbed fixed effects", "Instrumental-variable (2SLS) estimation within the same syntax", "Multi-way clustered, heteroskedasticity-robust and Driscoll-Kraay standard errors", "Multiple estimations in one call over variables, fixed effects and samples", "Event-study and Sun-Abraham staggered DID estimation", "Panel lead, lag and difference operators", "etable for console and LaTeX regression tables", "Coefficient and event-study plots"],
		15	+ "workflows": ["Two-way fixed-effects regressions with clustered errors for a paper", "Staggered difference-in-differences with event-study plots", "Gravity models with PPML and exporter-importer-year fixed effects", "Robustness tables across many specifications exported to LaTeX"],
		16	+ "advantages": ["Fast on large panels with many fixed effects", "Compact formula syntax for complex designs", "Publication tables without extra packages", "GPL-3 open source on CRAN"],
		17	+ "limitations": ["R only (Python port is a separate project)", "Single-machine, in-memory", "Limited nonlinear models beyond GLM families", "Dense option set has a learning curve"],
		18	+ "prerequisites": ["R with CRAN access"],
		19	+ "audiences": ["Applied micro and trade economists", "Graduate students writing empirical papers", "Researchers replacing Stata reghdfe workflows in R"],
		20	+ "alternatives": ["statsmodels", "linearmodels", "stata", "r"],
		21	+ "comparison_notes": "linearmodels and statsmodels in Python offer fixed-effects and IV estimation but without fixest's speed on many-level effects or its multiple-estimation and table tooling; Stata's reghdfe is the closest equivalent in a commercial package. pyfixest (not recorded here) ports the syntax to Python.",
		22	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }],
		23	+ "tags": ["r", "econometrics", "causal-inference", "panel-data", "open-source"],
		24	+ "use_cases": ["estimate-causal-effects", "write-papers"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["R", "data.table", "ggplot2", "modelsummary", "RStudio", "Quarto"],
		30	+ "data_formats": ["R data frames", "data.table", "LaTeX tables"],
		31	+ "languages": ["R", "C++"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-3.0-only",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://lrberge.github.io/fixest/", "type": "official_site", "title": "Fast Fixed-Effects Estimations • fixest", "supports": ["name", "summary", "capabilities", "vendor", "license_spdx"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/lrberge/fixest", "type": "repository", "title": "lrberge/fixest", "supports": ["repo_url", "license_spdx", "languages"], "checked_at": "2026-11-02", "note": "DESCRIPTION file declares License: GPL-3" },
		39	+ { "url": "https://cran.r-project.org/package=fixest", "type": "package_registry", "title": "CRAN - Package fixest", "supports": ["license_spdx", "product_status"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/fly-io.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "fly-io",
		3	+ "name": "Fly.io",
		4	+ "aliases": ["Fly"],
		5	+ "vendor": { "name": "Fly.io, Inc.", "slug": "fly-io-inc", "website": "https://fly.io" },
		6	+ "homepage_url": "https://fly.io/",
		7	+ "docs_url": "https://docs.fly.io/",
		8	+ "pricing_url": "https://fly.io/pricing/",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Platform that runs Docker images as Fly Machines (Firecracker microVMs) in regions around the world with anycast routing, private networking and managed Postgres",
		12	+ "description": "Fly.io is a hosting platform from Fly.io, Inc. that takes a container image or Dockerfile and runs it as one or more Fly Machines, lightweight virtual machines based on Firecracker, in a chosen set of regions. Incoming traffic reaches the nearest region over anycast and is proxied to the app; machines can be started and stopped quickly, scaled by count or size, and attached to persistent volumes. Private networking over WireGuard connects an organization's apps, and the same tunnel lets developers reach them from their laptops with the flyctl CLI.\n\nThe platform targets developers who want their application closer to users than a single-region VPS allows without adopting Kubernetes. Managed Postgres, the Sprites sandbox product and a Machines API for programmatic orchestration round out the offering, and billing is usage-based on compute, storage and bandwidth.\n\nIt is a smaller company than the hyperscalers, with a history of candid incident reports; operational responsibility for application-level concerns remains with the developer, and some features (such as the earlier unmanaged Postgres) have required care.",
		13	+ "capabilities": ["Deploy container images as Firecracker microVMs in many regions", "Anycast ingress with automatic TLS and a global proxy", "Fly Machines API for start, stop and scale operations", "Private WireGuard networking between apps and developer machines", "Persistent volumes and managed Postgres", "flyctl CLI with GitHub Actions deployment"],
		14	+ "workflows": ["Deploy a Dockerized API to several regions near users", "Run a long-lived background worker that scales to zero when idle", "Attach a managed Postgres database to an application"],
		15	+ "advantages": ["Simple path from Dockerfile to multi-region deployment", "Fast machine start and stop for scale-to-zero patterns", "Built-in private networking"],
		16	+ "limitations": ["Smaller provider with fewer managed services", "Application-level reliability remains the developer's responsibility", "Usage-based costs across regions need monitoring"],
		17	+ "prerequisites": ["Docker image or Dockerfile", "Fly.io account and flyctl"],
		18	+ "audiences": ["Developers deploying containers without Kubernetes", "Teams needing multi-region latency"],
		19	+ "alternatives": ["vercel", "hetzner", "aws"],
		20	+ "comparison_notes": "Vercel specializes in front-end frameworks and serverless functions rather than arbitrary containers; Hetzner gives raw servers at low cost but no orchestration; AWS offers equivalents (ECS, App Runner) with greater complexity.",
		21	+ "categories": [{ "slug": "cloud-hosting", "primary": true }],
		22	+ "tags": ["hosting", "containers", "firecracker", "edge", "wireguard", "cli", "usage-based"],
		23	+ "use_cases": ["host-web-apps"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["cli", "api", "web"],
		27	+ "deployment_models": ["managed-cloud"],
		28	+ "integrations": ["Docker", "GitHub Actions", "PostgreSQL", "WireGuard", "Terraform"],
		29	+ "data_formats": ["fly.toml", "OCI image"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["usage-based", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://fly.io/", "type": "official_site", "title": "Fly.io", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.fly.io/", "type": "official_docs", "title": "Fly.io Docs", "supports": ["capabilities", "workflows", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://fly.io/pricing/", "type": "pricing_page", "title": "Fly.io Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/forgejo.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "forgejo",
		3	+ "name": "Forgejo",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Forgejo project (Codeberg e.V.)", "slug": "forgejo-project", "website": "https://forgejo.org" },
		6	+ "homepage_url": "https://forgejo.org/",
		7	+ "docs_url": "https://forgejo.org/docs/latest/",
		8	+ "repo_url": "https://codeberg.org/forgejo/forgejo",
		9	+ "license_url": "https://codeberg.org/forgejo/forgejo/src/branch/forgejo/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Community-governed self-hosted Git forge forked from Gitea, stewarded by Codeberg e.V., with pull requests, issues, packages and Forgejo Actions",
		13	+ "description": "Forgejo is a self-hosted software forge created in late 2022 as a fork of Gitea after a company took control of the Gitea trademark and domain. It is developed under the umbrella of Codeberg e.V., a German non-profit that also operates the public Codeberg.org instance on Forgejo. The project is written in Go and keeps the familiar forge feature set: Git hosting, pull requests and review, issues and projects, wikis, a package registry, repository mirroring, and Forgejo Actions, a CI system compatible with the GitHub Actions workflow format.\n\nForgejo publishes long-term-support releases and, since version 9, licenses new contributions under GPL-3.0-or-later rather than MIT, which is one of the visible divergences from Gitea. It is also developing ActivityPub-based federation between instances. Deployment is a single binary or container with SQLite, PostgreSQL or MySQL, so it runs on modest hardware. Its caveats are a smaller contributor base than GitHub or GitLab, Actions compatibility that is close to but not identical with GitHub's, and the ongoing divergence from Gitea, which means migration between the two forges becomes less trivial over time.",
		14	+ "capabilities": ["Git hosting with pull requests and code review", "Issues, projects and wikis", "Forgejo Actions CI using GitHub-compatible workflow syntax", "Package registry and repository mirroring", "LTS releases", "Federation work based on ActivityPub"],
		15	+ "workflows": ["Self-host a forge for a group on a small server", "Migrate from Gitea or GitHub using the built-in importer", "Run CI on self-hosted runners"],
		16	+ "advantages": ["Non-profit governance", "Copyleft license guarantees future openness", "Low resource footprint"],
		17	+ "limitations": ["Smaller ecosystem than the major forges", "Actions compatibility is partial", "Growing divergence from Gitea complicates switching back"],
		18	+ "prerequisites": ["A Linux host (containers common); optional PostgreSQL or MySQL"],
		19	+ "audiences": ["Communities and non-profits self-hosting code", "Privacy-conscious teams", "Home-lab operators"],
		20	+ "alternatives": ["gitea", "gitlab", "github"],
		21	+ "comparison_notes": "Gitea is the parent project with company backing and an MIT core; Forgejo differs mainly in governance, copyleft licensing and some features such as federation work. GitLab is a far larger platform for enterprise use, and GitHub is the proprietary cloud service with the broadest community.",
		22	+ "categories": [{ "slug": "version-control", "primary": true }, { "slug": "ci-cd" }],
		23	+ "tags": ["version-control", "self-hosted", "open-source", "ci", "go"],
		24	+ "use_cases": ["collaborate"],
		25	+ "operating_systems": ["linux", "web"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["web", "api", "cli"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["Git", "Forgejo Runner", "PostgreSQL", "SQLite", "OpenID Connect", "Docker"],
		30	+ "data_formats": ["Git repositories", "YAML workflows", "Markdown"],
		31	+ "languages": ["Go", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-3.0-or-later",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://forgejo.org/", "type": "official_site", "title": "Forgejo – Beyond coding. We forge.", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://forgejo.org/docs/latest/", "type": "official_docs", "title": "Forgejo documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://codeberg.org/forgejo/forgejo/src/branch/forgejo/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "GPL-3.0 text; earlier releases were MIT" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/fred.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "fred",
		3	+ "name": "FRED (Federal Reserve Economic Data)",
		4	+ "aliases": ["FRED", "ALFRED", "FRED API"],
		5	+ "vendor": { "name": "Federal Reserve Bank of St. Louis", "slug": "st-louis-fed", "website": "https://www.stlouisfed.org" },
		6	+ "homepage_url": "https://fred.stlouisfed.org/",
		7	+ "docs_url": "https://fred.stlouisfed.org/docs/api/fred/",
		8	+ "license_url": "https://fred.stlouisfed.org/docs/api/terms_of_use.html",
		9	+ "product_type": "data-service",
		10	+ "product_status": "active",
		11	+ "summary": "Free economic database from the St. Louis Fed aggregating hundreds of thousands of US and international time series, with graphs, vintages (ALFRED), an Excel add-in and a keyed JSON/XML API",
		12	+ "description": "FRED is the Federal Reserve Bank of St. Louis's free online database of economic time series, operating since 1991. It aggregates series from US statistical agencies, the Federal Reserve system, international organizations and private sources into one catalog browsable by category, release, source and tag, with interactive graphs, embeddable charts, saved data lists and mobile apps. Its companion ALFRED stores real-time vintages so researchers can retrieve the data as they were known on a given date, which matters for forecasting evaluation and policy analysis. An Excel add-in, an MCP connector for AI assistants and GeoFRED regional maps round out the interfaces.\n\nThe FRED API requires a free API key and returns XML or JSON from endpoint families for categories, releases, series (metadata, observations, search, tags, updates, vintage dates), sources, tags and maps; a bulk-oriented version retrieves all series in a release at once. Community clients exist for Python (fredapi, pandas-datareader), R (fredr) and most other languages, and EViews, Stata and other packages link to it directly.\n\nThe API terms of use require applications to display a notice that the product uses the FRED API but is not endorsed by the St. Louis Fed, prohibit replicating FRED's user experience and using the Bank's trademarks, and remind developers that third-party series may be copyrighted by their owners, whose permission is needed beyond personal use. The service is a mirror rather than a producer: revisions and release timing follow the source agencies, some series are restricted or carry copyright notes, and the site was not reachable from some networks during checks even though it loaded through a rendering fetcher.",
		13	+ "capabilities": ["Catalog of economic series by category, release, source and tag", "Interactive and embeddable graphs", "ALFRED real-time vintage data", "JSON/XML API with free key", "Excel add-in and mobile apps", "GeoFRED maps API for regional data", "MCP connector for AI assistants", "Saved data lists and e-mail notifications"],
		14	+ "workflows": ["Pulling macro series into a Python or R notebook via the API", "Real-time forecasting evaluation with ALFRED vintages", "Embedding a live FRED chart in a course site", "Feeding EViews or Stata directly from FRED"],
		15	+ "advantages": ["Free with a documented API", "Vintage data for real-time analysis", "Breadth of sources in one place", "Widely supported by client libraries and software"],
		16	+ "limitations": ["Third-party series may carry copyright restrictions", "Apps must display the FRED API notice and avoid Fed trademarks", "Data timing follows source agencies", "Accessibility varied by network during checks"],
		17	+ "prerequisites": ["Free FRED account and API key for programmatic access"],
		18	+ "audiences": ["Macroeconomists and forecasters", "Students and instructors", "Developers of economic dashboards"],
		19	+ "alternatives": ["nasdaq-data-link", "world-bank-data", "statistics-canada", "imf-data", "eurostat"],
		20	+ "comparison_notes": "World Bank, IMF and Eurostat APIs are the primary international sources FRED partly mirrors; Statistics Canada is the Canadian counterpart; Nasdaq Data Link is a commercial marketplace that also carries macro series. FRED's distinguishing features are the unified catalog, vintages and the free API.",
		21	+ "categories": [{ "slug": "market-data-apis", "primary": true }, { "slug": "open-public-data" }],
		22	+ "tags": ["macro-data", "api", "time-series", "open-data", "free"],
		23	+ "use_cases": ["access-market-data", "write-papers"],
		24	+ "operating_systems": ["web", "ios", "android"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "mobile", "mcp-server"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Excel add-in", "Python (fredapi, pandas-datareader)", "R (fredr)", "EViews", "Stata", "MCP clients"],
		29	+ "data_formats": ["JSON", "XML", "CSV", "Excel"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["free"],
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://fred.stlouisfed.org/", "type": "official_site", "title": "Federal Reserve Economic Data | FRED | St. Louis Fed", "supports": ["name", "summary", "capabilities", "interfaces"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://fred.stlouisfed.org/docs/api/fred/", "type": "official_docs", "title": "St. Louis Fed Web Services: FRED API", "supports": ["capabilities", "data_formats", "docs_url"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://fred.stlouisfed.org/docs/api/terms_of_use.html", "type": "policy_page", "title": "FRED API Terms of Use", "supports": ["limitations", "description"], "checked_at": "2026-11-02", "note": "Attribution notice, no replication of FRED experience, third-party copyright" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "uncertainty_note": "fred.stlouisfed.org did not answer command-line requests from this network but loaded through a rendering fetcher; link checks may show transient failures. Integration list includes well-known community clients not individually re-verified.",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "deep",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-E"
		47	+}

added content/tools/gemini-api.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "gemini-api",
		3	+ "name": "Gemini API",
		4	+ "aliases": ["Google AI Studio API", "Google Gen AI SDK", "Google AI for Developers"],
		5	+ "vendor": { "name": "Google", "slug": "google", "website": "https://ai.google.dev/" },
		6	+ "homepage_url": "https://ai.google.dev/",
		7	+ "docs_url": "https://aistudio.google.com/docs",
		8	+ "repo_url": "https://github.com/googleapis/python-genai",
		9	+ "pricing_url": "https://aistudio.google.com/docs/pricing",
		10	+ "product_type": "api-service",
		11	+ "product_status": "active",
		12	+ "summary": "Google's developer API for the Gemini model family, keyed from Google AI Studio, with function calling, Search grounding, Live API, image and video generation and a free tier",
		13	+ "description": "The Gemini API is Google's developer-facing interface to its Gemini models, obtained through Google AI Studio, where keys are created and prompts prototyped. In 2026 the documentation moved from ai.google.dev/gemini-api to aistudio.google.com/docs. The API exposes text and reasoning models in Pro, Flash and Flash-Lite variants, a Live API for real-time audio and video sessions, text-to-speech, image generation and editing, video and music generation, embeddings, and document understanding for PDFs. Supporting features include function calling, grounding with Google Search and URL context, code execution, structured outputs from JSON Schema, Pydantic or Zod, long context with context caching, file uploads and batch processing. The docs describe the Interactions API as the default interface, with `generateContent` kept as a legacy path.\n\nThe Google Gen AI SDK is offered for Python, JavaScript, Go and Java, alongside REST. Pricing is tiered: a free tier with rate limits whose content may be used to improve Google products, a paid tier with higher limits, caching and batch processing where content is generally not used for training, and an enterprise route through Vertex AI. Users should check the data-use terms per tier, and note that some newer models and modalities are paid-only.",
		14	+ "capabilities": ["Text, reasoning and multimodal generation across Pro, Flash and Flash-Lite models", "Function calling, Search grounding, URL context and code execution", "Live API for real-time audio and video agents", "Image, video, music and speech generation plus embeddings", "Structured outputs, context caching, files and batch processing", "Google Gen AI SDK for Python, JavaScript, Go and Java"],
		15	+ "workflows": ["Prototype in AI Studio, then export code against the same key", "Ground answers in live web results with Search grounding", "Process long PDFs with context caching to reduce repeated cost"],
		16	+ "advantages": ["Free tier for experimentation", "Long context windows and native multimodal inputs", "Same models available through Vertex AI for enterprise controls"],
		17	+ "limitations": ["Free-tier content may be used to improve Google products", "Several modalities and newest models are paid-only", "Documentation URLs changed in 2026; older links redirect"],
		18	+ "prerequisites": ["Google account and an AI Studio API key", "Gen AI SDK or any HTTP client"],
		19	+ "audiences": ["Developers building multimodal applications", "Teams needing a free tier for prototypes", "Google Cloud customers moving to Vertex AI"],
		20	+ "alternatives": ["openai-platform", "claude-developer-platform", "mistral-ai", "openrouter"],
		21	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "speech-vision-multimodal", "label": "Live API, image and video generation" }],
		22	+ "tags": ["llm", "api", "multimodal", "embeddings", "python", "typescript"],
		23	+ "use_cases": ["build-agents", "search-the-web-programmatically", "evaluate-llm-apps"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["api", "sdk", "web"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Google AI Studio", "Vertex AI", "LangChain", "LlamaIndex", "LiteLLM"],
		29	+ "data_formats": ["JSON", "JSON Schema", "PDF", "Images", "Audio", "Video"],
		30	+ "languages": ["Python", "JavaScript", "Go", "Java"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://ai.google.dev/", "type": "official_site", "title": "Google AI for Developers", "supports": ["name", "homepage_url"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://aistudio.google.com/docs", "type": "official_docs", "title": "Gemini API documentation", "supports": ["capabilities", "languages", "interfaces"], "checked_at": "2026-11-02", "note": "ai.google.dev/gemini-api/docs redirects here" },
		38	+ { "url": "https://aistudio.google.com/docs/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/googleapis/python-genai", "type": "repository", "title": "Google Gen AI Python SDK (Apache-2.0)", "supports": ["languages"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-A"
		48	+}

added content/tools/gemini.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "gemini",
		3	+ "name": "Gemini",
		4	+ "aliases": ["Google Gemini app", "Gemini Advanced", "Bard"],
		5	+ "vendor": { "name": "Google", "slug": "google", "website": "https://gemini.google/about/" },
		6	+ "homepage_url": "https://gemini.google.com/",
		7	+ "docs_url": "https://gemini.google/about/",
		8	+ "pricing_url": "https://gemini.google/subscriptions/",
		9	+ "product_type": "application",
		10	+ "product_status": "active",
		11	+ "summary": "Google's consumer assistant on web, Android and iOS, with Gemini Live voice, Deep Research, Canvas, Gems and image and video generation, tied to Google AI subscription plans",
		12	+ "description": "Gemini is Google's consumer assistant, the successor to Bard. It runs on the web at gemini.google.com, in Android and iOS apps, and is embedded in Gmail, Docs, Vids and other Workspace apps on paid plans. Features include Gemini Live voice conversation with camera sharing, Deep Research for long-form reports, Canvas for drafting and coding, Gems for saved custom assistants, image generation and editing, video generation, and long-context file handling. Access is tiered through Google AI plans: a free tier, Google AI Plus, Google AI Pro and Google AI Ultra, which differ in model access, usage multiples, video generation, cloud storage and Workspace integration. Enterprise editions are sold separately under Gemini Enterprise. Because the assistant is tightly coupled to a Google account, data handling follows Google's account-level privacy settings, which users should review before relying on it for sensitive material.",
		13	+ "capabilities": ["Chat assistant on web, Android and iOS", "Gemini Live voice conversation with camera input", "Deep Research reports and Canvas workspace", "Gems (custom assistants) and image, video and music generation", "Integration with Gmail, Docs, Vids and other Workspace apps on paid plans"],
		14	+ "workflows": ["Ask for a sourced research report with Deep Research", "Draft and edit a document in Canvas", "Use Gemini inside Gmail and Docs on a paid plan"],
		15	+ "advantages": ["Free tier with Deep Research and Canvas", "Deep integration with Google services", "Bundled cloud storage on paid plans"],
		16	+ "limitations": ["Hosted only, bound to a Google account", "Newest models and video generation limited to higher tiers", "Enterprise controls require separate Gemini Enterprise editions"],
		17	+ "prerequisites": ["Google account; Google AI Plus/Pro/Ultra for higher tiers"],
		18	+ "audiences": ["Consumers and Google Workspace users", "Students and researchers using Deep Research"],
		19	+ "alternatives": ["chatgpt", "claude"],
		20	+ "categories": [{ "slug": "ai-assistants", "primary": true }],
		21	+ "tags": ["llm", "assistant", "mobile", "voice", "multimodal"],
		22	+ "use_cases": ["collaborate", "manage-notes"],
		23	+ "operating_systems": ["web", "android", "ios"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["web", "mobile"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Gmail", "Google Docs", "Google Vids", "Google Drive", "Chrome"],
		28	+ "data_formats": ["PDF", "DOCX", "Images", "Audio", "Video"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid", "enterprise"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://gemini.google.com/", "type": "official_site", "title": "Gemini", "supports": ["name", "homepage_url"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://gemini.google/about/", "type": "official_docs", "title": "About Gemini", "supports": ["capabilities", "operating_systems", "pricing_model"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://gemini.google/subscriptions/", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-A"
		46	+}

added content/tools/geocodio.json +162 −0

				@@ -0,0 +1,162 @@
		1	+{
		2	+ "slug": "geocodio",
		3	+ "name": "Geocodio",
		4	+ "aliases": [
		5	+ "Geocod.io"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Dotsquare LLC (Geocodio)",
		9	+ "slug": "geocodio",
		10	+ "website": "https://www.geocod.io"
		11	+ },
		12	+ "homepage_url": "https://www.geocod.io/",
		13	+ "docs_url": "https://www.geocod.io/docs/",
		14	+ "pricing_url": "https://www.geocod.io/pricing",
		15	+ "privacy_url": "https://www.geocod.io/privacy-policy",
		16	+ "license_url": "https://www.geocod.io/terms-of-use",
		17	+ "product_type": "api-service",
		18	+ "product_status": "active",
		19	+ "summary": "Geocoding API and spreadsheet service for the US and Canada with batch processing and data appends such as census, districts and time zones",
		20	+ "description": "Geocodio is a geocoding service from Dotsquare LLC covering the United States and Canada, with forward and reverse geocoding available by REST API or by uploading spreadsheets through the web interface. Batch endpoints accept large lists in one request, asynchronous list jobs handle CSV and Excel files, and optional field appends attach census geographies and ACS demographics, congressional and state legislative districts, school districts, Canadian federal ridings, time zones and ZIP+4 data to each result. Official client libraries exist for Python, Node.js, Ruby and PHP, and the terms permit storing and reusing results, which matters for research datasets. Pricing is usage-based with a free daily allowance and an unlimited-plan option. Coverage is limited to two countries plus some newer additions, Canadian results return only the forward sortation area of the postal code, and accuracy depends on the underlying public address data.",
		21	+ "capabilities": [
		22	+ "Forward and reverse geocoding for the US and Canada",
		23	+ "Batch requests and asynchronous spreadsheet list jobs",
		24	+ "Data appends: census, ACS, districts, time zones, ZIP+4, ridings",
		25	+ "Distance and matrix calculations",
		26	+ "Official client libraries for Python, Node.js, Ruby and PHP",
		27	+ "Web upload interface for non-programmers"
		28	+ ],
		29	+ "workflows": [
		30	+ "Geocode an assessment roll export and append census tracts",
		31	+ "Reverse-geocode listing coordinates to standardised addresses"
		32	+ ],
		33	+ "advantages": [
		34	+ "Results may be stored and reused under the terms",
		35	+ "Simple pricing and spreadsheet upload path"
		36	+ ],
		37	+ "limitations": [
		38	+ "US and Canada focus; limited international coverage",
		39	+ "Canadian postal codes resolved only to the FSA level",
		40	+ "Accuracy bounded by public address datasets"
		41	+ ],
		42	+ "prerequisites": [
		43	+ "Geocodio account and API key"
		44	+ ],
		45	+ "audiences": [
		46	+ "Researchers geocoding address lists",
		47	+ "Developers needing North American geocoding"
		48	+ ],
		49	+ "alternatives": [
		50	+ "google-maps-platform",
		51	+ "mapbox",
		52	+ "openstreetmap"
		53	+ ],
		54	+ "comparison_notes": "Google Maps Platform and Mapbox geocode worldwide but restrict storage of results; Geocodio allows retention and adds census and district appends. OpenStreetMap-based Nominatim is free and self-hostable but less accurate on rooftop-level US and Canadian addresses.",
		55	+ "categories": [
		56	+ {
		57	+ "slug": "gis-mapping",
		58	+ "primary": true
		59	+ }
		60	+ ],
		61	+ "tags": [
		62	+ "geocoding",
		63	+ "api",
		64	+ "census",
		65	+ "canada",
		66	+ "usa"
		67	+ ],
		68	+ "use_cases": [
		69	+ "geocode-addresses",
		70	+ "map-geodata"
		71	+ ],
		72	+ "operating_systems": [
		73	+ "web",
		74	+ "any"
		75	+ ],
		76	+ "execution_modes": [
		77	+ "cloud"
		78	+ ],
		79	+ "interfaces": [
		80	+ "api",
		81	+ "web",
		82	+ "sdk"
		83	+ ],
		84	+ "deployment_models": [
		85	+ "saas"
		86	+ ],
		87	+ "integrations": [
		88	+ "Python",
		89	+ "Node.js",
		90	+ "Ruby",
		91	+ "PHP",
		92	+ "Excel/CSV upload"
		93	+ ],
		94	+ "data_formats": [
		95	+ "JSON",
		96	+ "CSV",
		97	+ "Excel"
		98	+ ],
		99	+ "languages": [
		100	+ "Python",
		101	+ "JavaScript",
		102	+ "Ruby",
		103	+ "PHP"
		104	+ ],
		105	+ "source_model": "proprietary",
		106	+ "pricing_model": [
		107	+ "freemium",
		108	+ "usage-based",
		109	+ "paid"
		110	+ ],
		111	+ "pricing_checked_at": "2026-11-02",
		112	+ "self_hostable": false,
		113	+ "sources": [
		114	+ {
		115	+ "url": "https://www.geocod.io/",
		116	+ "type": "official_site",
		117	+ "supports": [
		118	+ "name",
		119	+ "summary"
		120	+ ],
		121	+ "checked_at": "2026-11-02",
		122	+ "title": "Geocodio"
		123	+ },
		124	+ {
		125	+ "url": "https://www.geocod.io/docs/",
		126	+ "type": "official_docs",
		127	+ "supports": [
		128	+ "capabilities",
		129	+ "limitations",
		130	+ "languages"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "Geocodio API documentation"
		134	+ },
		135	+ {
		136	+ "url": "https://www.geocod.io/pricing",
		137	+ "type": "pricing_page",
		138	+ "supports": [
		139	+ "pricing_model"
		140	+ ],
		141	+ "checked_at": "2026-11-02",
		142	+ "title": "Geocodio pricing"
		143	+ },
		144	+ {
		145	+ "url": "https://www.geocod.io/terms-of-use",
		146	+ "type": "policy_page",
		147	+ "supports": [
		148	+ "vendor",
		149	+ "advantages"
		150	+ ],
		151	+ "checked_at": "2026-11-02",
		152	+ "title": "Geocodio terms of use"
		153	+ }
		154	+ ],
		155	+ "confidence": "high",
		156	+ "depth": "standard",
		157	+ "featured": false,
		158	+ "discovery_method": "editorial-research",
		159	+ "editorial_status": "reviewed",
		160	+ "visibility": "public",
		161	+ "author": "batch-F"
		162	+}

added content/tools/geopandas.json +168 −0

				@@ -0,0 +1,168 @@
		1	+{
		2	+ "slug": "geopandas",
		3	+ "name": "GeoPandas",
		4	+ "aliases": [],
		5	+ "vendor": {
		6	+ "name": "GeoPandas developers (NumFOCUS affiliated)",
		7	+ "slug": "geopandas",
		8	+ "website": "https://geopandas.org"
		9	+ },
		10	+ "homepage_url": "https://geopandas.org/en/stable/",
		11	+ "docs_url": "https://geopandas.org/en/stable/docs.html",
		12	+ "repo_url": "https://github.com/geopandas/geopandas",
		13	+ "license_url": "https://github.com/geopandas/geopandas/blob/main/LICENSE.txt",
		14	+ "product_type": "library",
		15	+ "product_status": "active",
		16	+ "summary": "Python library extending pandas with geometry columns, spatial operations, reprojection, spatial joins and file I/O for vector geodata",
		17	+ "description": "GeoPandas is an open-source Python library that adds geospatial capabilities to pandas, and is the standard entry point for scripted vector GIS in the Python data stack. A GeoDataFrame is a pandas DataFrame with a geometry column backed by Shapely objects; it reads and writes Shapefile, GeoPackage, GeoJSON, GeoParquet and other formats through pyogrio or Fiona (GDAL), reprojects with pyproj, and performs geometric operations (buffer, intersection, area, distance), spatial joins, overlays, dissolves and nearest-neighbour searches with an STRtree index.\n\nIt plots with Matplotlib, exports to interactive Folium or Leaflet maps, and interoperates with PostGIS through SQLAlchemy, with raster libraries such as rasterio and xarray, and with Dask-GeoPandas for larger-than-memory partitions. In a research pipeline it is the tool that turns an assessment roll with coordinates into a GeoDataFrame, joins it to census tracts or OSM amenities, computes distances, and hands a plain DataFrame to statsmodels or scikit-learn.\n\nIt is BSD-licensed and maintained by a community of developers with NumFOCUS affiliation, with releases tracking pandas and Shapely 2 vectorized geometry operations.\n\nLimits are those of an in-memory single-process library: datasets must fit in RAM unless partitioned, operations on millions of complex polygons are slower than in PostGIS, raster handling is delegated to other libraries, there is no interactive editing, and GDAL installation can still be a stumbling block on some platforms despite wheels.",
		18	+ "capabilities": [
		19	+ "GeoDataFrame with Shapely geometry columns",
		20	+ "Read and write vector formats via GDAL (pyogrio/Fiona) and GeoParquet",
		21	+ "Reprojection with pyproj",
		22	+ "Spatial joins, overlays, dissolve and nearest-neighbour queries",
		23	+ "Static plotting with Matplotlib and interactive maps via Folium",
		24	+ "PostGIS read/write through SQLAlchemy"
		25	+ ],
		26	+ "workflows": [
		27	+ "Geocode a sample, build a GeoDataFrame and spatially join census geographies",
		28	+ "Compute distances from properties to OSM amenities for a hedonic model",
		29	+ "Convert Shapefiles to GeoParquet for DuckDB or Polars pipelines"
		30	+ ],
		31	+ "advantages": [
		32	+ "Familiar pandas idioms",
		33	+ "Permissive BSD-3-Clause license",
		34	+ "Interoperates with the scientific Python stack and PostGIS"
		35	+ ],
		36	+ "limitations": [
		37	+ "In-memory; large datasets need Dask-GeoPandas or a database",
		38	+ "Slower than PostGIS on very large polygon operations",
		39	+ "No raster processing or interactive editing"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Python with pandas, Shapely, pyproj and GDAL-based I/O"
		43	+ ],
		44	+ "audiences": [
		45	+ "Data scientists working with spatial data",
		46	+ "Urban and real estate researchers",
		47	+ "GIS analysts automating workflows in Python"
		48	+ ],
		49	+ "alternatives": [
		50	+ "postgis",
		51	+ "qgis",
		52	+ "pandas",
		53	+ "duckdb"
		54	+ ],
		55	+ "comparison_notes": "PostGIS handles the same operations server-side in SQL with indexing for large data; QGIS offers a GUI and cartography. pandas lacks geometry support; GeoPandas is its spatial extension. DuckDB's spatial extension provides in-process spatial SQL on GeoParquet and is increasingly combined with GeoPandas through Arrow.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "gis-mapping",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "dataframes-arrays"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "gis",
		67	+ "python",
		68	+ "pandas",
		69	+ "open-source",
		70	+ "vector",
		71	+ "parquet"
		72	+ ],
		73	+ "use_cases": [
		74	+ "map-geodata",
		75	+ "value-real-estate",
		76	+ "query-parquet-files"
		77	+ ],
		78	+ "operating_systems": [
		79	+ "macos",
		80	+ "linux",
		81	+ "windows"
		82	+ ],
		83	+ "execution_modes": [
		84	+ "local"
		85	+ ],
		86	+ "interfaces": [
		87	+ "library"
		88	+ ],
		89	+ "integrations": [
		90	+ "pandas",
		91	+ "Shapely",
		92	+ "pyproj",
		93	+ "GDAL",
		94	+ "Matplotlib",
		95	+ "Folium",
		96	+ "PostGIS",
		97	+ "Dask",
		98	+ "rasterio"
		99	+ ],
		100	+ "data_formats": [
		101	+ "Shapefile",
		102	+ "GeoPackage",
		103	+ "GeoJSON",
		104	+ "GeoParquet",
		105	+ "CSV/WKT"
		106	+ ],
		107	+ "languages": [
		108	+ "Python"
		109	+ ],
		110	+ "source_model": "open-source",
		111	+ "license_spdx": "BSD-3-Clause",
		112	+ "pricing_model": [
		113	+ "open-source",
		114	+ "free"
		115	+ ],
		116	+ "self_hostable": true,
		117	+ "sources": [
		118	+ {
		119	+ "url": "https://geopandas.org/en/stable/",
		120	+ "type": "official_site",
		121	+ "supports": [
		122	+ "name",
		123	+ "summary",
		124	+ "product_type"
		125	+ ],
		126	+ "checked_at": "2026-11-02",
		127	+ "title": "GeoPandas"
		128	+ },
		129	+ {
		130	+ "url": "https://geopandas.org/en/stable/docs.html",
		131	+ "type": "official_docs",
		132	+ "supports": [
		133	+ "capabilities",
		134	+ "data_formats",
		135	+ "integrations"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "GeoPandas documentation"
		139	+ },
		140	+ {
		141	+ "url": "https://github.com/geopandas/geopandas/blob/main/LICENSE.txt",
		142	+ "type": "license_page",
		143	+ "supports": [
		144	+ "license_spdx",
		145	+ "source_model"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "LICENSE.txt (BSD 3-Clause)"
		149	+ },
		150	+ {
		151	+ "url": "https://pypi.org/project/geopandas/",
		152	+ "type": "package_registry",
		153	+ "supports": [
		154	+ "prerequisites"
		155	+ ],
		156	+ "checked_at": "2026-11-02",
		157	+ "title": "geopandas on PyPI"
		158	+ }
		159	+ ],
		160	+ "confidence": "high",
		161	+ "depth": "deep",
		162	+ "deployment_models": [],
		163	+ "featured": false,
		164	+ "discovery_method": "editorial-research",
		165	+ "editorial_status": "reviewed",
		166	+ "visibility": "public",
		167	+ "author": "batch-F"
		168	+}

added content/tools/ghostfolio.json +157 −0

				@@ -0,0 +1,157 @@
		1	+{
		2	+ "slug": "ghostfolio",
		3	+ "name": "Ghostfolio",
		4	+ "aliases": [],
		5	+ "vendor": {
		6	+ "name": "Ghostfolio",
		7	+ "slug": "ghostfolio",
		8	+ "website": "https://ghostfol.io"
		9	+ },
		10	+ "homepage_url": "https://ghostfol.io/en",
		11	+ "docs_url": "https://github.com/ghostfolio/ghostfolio",
		12	+ "repo_url": "https://github.com/ghostfolio/ghostfolio",
		13	+ "pricing_url": "https://ghostfol.io/en/pricing",
		14	+ "license_url": "https://github.com/ghostfolio/ghostfolio/blob/main/LICENSE",
		15	+ "product_type": "application",
		16	+ "product_status": "active",
		17	+ "summary": "Open-source wealth-tracking web app for stocks, ETFs, crypto and other assets, self-hostable with Docker or used as a hosted service",
		18	+ "description": "Ghostfolio is an open-source portfolio and wealth tracker in the portfolio management category. Users record transactions across brokerage accounts and asset classes (stocks, ETFs, bonds, crypto, commodities and cash), and the app computes holdings, performance, allocation by sector, region and currency, dividends, fees and fire-related projections. It is a TypeScript application (Angular front end, NestJS back end, PostgreSQL and Redis) distributed as a Docker image for self-hosting, and the same team runs a hosted instance with a paid Premium tier that adds analysis features. Market prices come from public data providers configured by the operator. It records activities manually or via CSV import rather than through broker connections, so keeping data current takes discipline, and the AGPL license applies to anyone redistributing modified versions as a service.",
		19	+ "capabilities": [
		20	+ "Multi-account, multi-currency transaction ledger",
		21	+ "Performance, allocation and dividend analysis",
		22	+ "CSV import and export of activities",
		23	+ "Self-hosted deployment with Docker Compose",
		24	+ "Public portfolio sharing and read-only access",
		25	+ "REST API with access tokens"
		26	+ ],
		27	+ "workflows": [
		28	+ "Run the Docker image on a home server and import brokerage CSV exports",
		29	+ "Track a multi-currency portfolio alongside crypto holdings"
		30	+ ],
		31	+ "advantages": [
		32	+ "Self-hostable with full data ownership",
		33	+ "AGPL-3.0 open source",
		34	+ "Covers many asset classes in one ledger"
		35	+ ],
		36	+ "limitations": [
		37	+ "No automatic brokerage synchronization; entries are manual or CSV",
		38	+ "Price coverage depends on configured data providers",
		39	+ "Premium analytics are reserved to the hosted paid tier or own setup"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Docker host with PostgreSQL and Redis for self-hosting, or an account on the hosted service"
		43	+ ],
		44	+ "audiences": [
		45	+ "Self-hosting enthusiasts tracking personal wealth",
		46	+ "Investors wanting a broker-independent ledger"
		47	+ ],
		48	+ "alternatives": [
		49	+ "pyportfolioopt",
		50	+ "riskfolio-lib"
		51	+ ],
		52	+ "comparison_notes": "PyPortfolioOpt and Riskfolio-Lib are allocation libraries for analysts; Ghostfolio is an end-user application for recording and monitoring an existing portfolio rather than optimizing it.",
		53	+ "categories": [
		54	+ {
		55	+ "slug": "portfolio-management",
		56	+ "primary": true
		57	+ }
		58	+ ],
		59	+ "tags": [
		60	+ "portfolio-tracking",
		61	+ "self-hosted",
		62	+ "open-source",
		63	+ "typescript",
		64	+ "docker"
		65	+ ],
		66	+ "use_cases": [
		67	+ "track-portfolios"
		68	+ ],
		69	+ "operating_systems": [
		70	+ "web",
		71	+ "linux"
		72	+ ],
		73	+ "execution_modes": [
		74	+ "self-hosted",
		75	+ "cloud"
		76	+ ],
		77	+ "interfaces": [
		78	+ "web",
		79	+ "api"
		80	+ ],
		81	+ "deployment_models": [
		82	+ "saas",
		83	+ "on-premises"
		84	+ ],
		85	+ "integrations": [
		86	+ "Docker",
		87	+ "PostgreSQL",
		88	+ "Redis",
		89	+ "Yahoo Finance data",
		90	+ "CoinGecko"
		91	+ ],
		92	+ "data_formats": [
		93	+ "CSV",
		94	+ "JSON"
		95	+ ],
		96	+ "languages": [
		97	+ "TypeScript"
		98	+ ],
		99	+ "source_model": "open-source",
		100	+ "license_spdx": "AGPL-3.0-only",
		101	+ "pricing_model": [
		102	+ "open-source",
		103	+ "freemium",
		104	+ "paid"
		105	+ ],
		106	+ "pricing_checked_at": "2026-11-02",
		107	+ "self_hostable": true,
		108	+ "sources": [
		109	+ {
		110	+ "url": "https://ghostfol.io/en",
		111	+ "type": "official_site",
		112	+ "supports": [
		113	+ "name",
		114	+ "summary"
		115	+ ],
		116	+ "checked_at": "2026-11-02",
		117	+ "title": "Ghostfolio – Open Source Wealth Management Software"
		118	+ },
		119	+ {
		120	+ "url": "https://github.com/ghostfolio/ghostfolio",
		121	+ "type": "repository",
		122	+ "supports": [
		123	+ "capabilities",
		124	+ "languages",
		125	+ "prerequisites"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "ghostfolio/ghostfolio"
		129	+ },
		130	+ {
		131	+ "url": "https://github.com/ghostfolio/ghostfolio/blob/main/LICENSE",
		132	+ "type": "license_page",
		133	+ "supports": [
		134	+ "license_spdx",
		135	+ "source_model"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "LICENSE (AGPL-3.0)"
		139	+ },
		140	+ {
		141	+ "url": "https://ghostfol.io/en/pricing",
		142	+ "type": "pricing_page",
		143	+ "supports": [
		144	+ "pricing_model"
		145	+ ],
		146	+ "checked_at": "2026-11-02",
		147	+ "title": "Ghostfolio Pricing"
		148	+ }
		149	+ ],
		150	+ "confidence": "high",
		151	+ "depth": "standard",
		152	+ "featured": false,
		153	+ "discovery_method": "editorial-research",
		154	+ "editorial_status": "reviewed",
		155	+ "visibility": "public",
		156	+ "author": "batch-F"
		157	+}

added content/tools/ghostty.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "ghostty",
		3	+ "name": "Ghostty",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Ghostty project (Mitchell Hashimoto)", "slug": "ghostty-project", "website": "https://ghostty.org" },
		6	+ "homepage_url": "https://ghostty.org/",
		7	+ "docs_url": "https://ghostty.org/docs",
		8	+ "repo_url": "https://github.com/ghostty-org/ghostty",
		9	+ "license_url": "https://github.com/ghostty-org/ghostty/blob/main/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Native, GPU-accelerated terminal emulator for macOS and Linux written in Zig, with platform-native UI and a cross-platform core library",
		13	+ "description": "Ghostty is a terminal emulator created by Mitchell Hashimoto and developed as an open-source project under the MIT license. It is written in Zig and renders through Metal on macOS and OpenGL on Linux, with a native SwiftUI/AppKit application on macOS and a GTK application on Linux rather than a shared web-based interface. The project emphasizes standards compliance (xterm compatibility, modern escape sequences, Kitty graphics and keyboard protocols) alongside native platform integration such as tabs, splits, quick terminal and system shortcuts.\n\nConfiguration is a plain text file with no scripting language, which keeps setup simple but limits automation compared with programmable terminals. The core is also exposed as libghostty, a C-compatible library intended for embedding terminal emulation in other applications. Ghostty is a natural fit for users who want a fast terminal with a native feel for tmux, Neovim or SSH-heavy work. There is no Windows build at the time of writing, and some features that other emulators offer, such as built-in session persistence or AI integration, are out of scope.",
		14	+ "capabilities": ["GPU rendering via Metal (macOS) and OpenGL (Linux)", "Native tabs, splits and window management", "Kitty graphics and keyboard protocol support", "Plain-text configuration with live reload", "Shell integration for prompts and directory tracking", "libghostty embeddable terminal core"],
		15	+ "workflows": ["Run tmux or Neovim sessions over SSH to cluster nodes", "Use the quick terminal as a drop-down console on macOS", "Embed terminal emulation in another application via libghostty"],
		16	+ "advantages": ["Native macOS application rather than an Electron shell", "MIT license", "Strong terminal standards compliance"],
		17	+ "limitations": ["No Windows version", "No built-in scripting or plugin system", "Younger project with fewer third-party integrations"],
		18	+ "prerequisites": ["macOS or Linux; download from ghostty.org or Homebrew cask"],
		19	+ "audiences": ["Developers working in terminal-centric workflows", "macOS users wanting a native terminal", "Application developers embedding a terminal"],
		20	+ "alternatives": ["iterm2", "warp"],
		21	+ "comparison_notes": "iTerm2 is the long-standing macOS terminal with a much larger feature set (profiles, triggers, tmux integration, scripting API) but a heavier interface; Ghostty focuses on speed and a smaller surface. Warp is a commercial terminal that adds AI assistance and block-based output, whereas Ghostty stays a conventional emulator.",
		22	+ "categories": [{ "slug": "terminals-shells", "primary": true }],
		23	+ "tags": ["terminal", "macos", "apple-silicon", "open-source", "zig"],
		24	+ "use_cases": ["edit-code-remotely"],
		25	+ "operating_systems": ["macos", "linux"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["desktop"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["tmux", "zsh", "fish", "Neovim", "Starship"],
		30	+ "data_formats": ["Plain-text configuration"],
		31	+ "languages": ["Zig", "Swift", "C"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": null,
		36	+ "sources": [
		37	+ { "url": "https://ghostty.org/", "type": "official_site", "title": "Ghostty", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://ghostty.org/docs", "type": "official_docs", "title": "Ghostty Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/ghostty-org/ghostty/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/git.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "git",
		3	+ "name": "Git",
		4	+ "aliases": ["git-scm"],
		5	+ "vendor": { "name": "Git project (Software Freedom Conservancy)", "slug": "git-project", "website": "https://git-scm.com" },
		6	+ "homepage_url": "https://git-scm.com/",
		7	+ "docs_url": "https://git-scm.com/doc",
		8	+ "repo_url": "https://github.com/git/git",
		9	+ "license_url": "https://github.com/git/git/blob/master/COPYING",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Distributed version control system that records snapshots of a project's history locally and synchronizes them with remotes such as GitHub, GitLab or a bare repository over SSH",
		13	+ "description": "Git is a distributed version control system created by Linus Torvalds in 2005 and maintained by Junio Hamano and a community of contributors, with the Software Freedom Conservancy as its fiscal home. Every clone holds the full history as a content-addressed object store, so committing, branching, diffing and searching history work offline and remotes are only needed to exchange changes. Branches are lightweight pointers, which makes feature branches, rebases and topic-based workflows cheap.\n\nGit is the substrate for nearly all code hosting: GitHub, GitLab, Gitea and Forgejo are web services built around Git repositories, and self-hosted bare repositories reachable over SSH are a complete remote on their own. Tooling surrounds it at every level, from editor integrations and graphical clients to hooks that run linters or tests, large-file storage (Git LFS) for binary assets, and signing of commits and tags with GPG or SSH keys.\n\nBeyond source code, Git is routinely used to version LaTeX manuscripts, analysis scripts, infrastructure configuration and documentation, giving researchers an audit trail and the ability to reproduce an exact state. The command-line interface is the reference; the official documentation includes the Pro Git book and the reference manual for every subcommand.\n\nIts difficulties are well known: the command vocabulary is inconsistent and the conceptual model (index, working tree, detached HEAD, rebase versus merge) takes time to internalize; large binary files bloat repositories unless LFS is used; and history rewriting on shared branches causes trouble for collaborators. Monorepos at very large scale need additional tooling such as sparse checkout and partial clone.",
		14	+ "capabilities": ["Full local history with offline commits, branches and diffs", "Lightweight branching, merging and rebasing", "Remotes over SSH, HTTPS and the Git protocol", "Hooks for automation on commit, push and receive", "Commit and tag signing with GPG or SSH keys", "Partial clone, sparse checkout and worktrees for large repositories", "Bisect, blame and log search for history forensics", "Submodules and Git LFS for dependencies and large files"],
		15	+ "workflows": ["Branch, commit and open a pull or merge request on a forge", "Push to a bare repository on a private server over SSH", "Version a LaTeX paper or analysis pipeline alongside its data manifests", "Find the commit that introduced a regression with bisect"],
		16	+ "advantages": ["Universal: every forge, editor and CI system supports it", "Works fully offline", "Cheap branching enables flexible workflows", "Free software under the GPL"],
		17	+ "limitations": ["Steep conceptual learning curve and inconsistent command design", "Poor handling of large binary files without LFS", "History rewriting on shared branches is error-prone", "Very large monorepos need extra tooling"],
		18	+ "prerequisites": ["Any OS; ships with Xcode Command Line Tools on macOS or via package managers"],
		19	+ "audiences": ["Software developers", "Researchers versioning manuscripts and code", "Operations teams managing configuration as code"],
		20	+ "alternatives": ["github", "gitlab", "gitea"],
		21	+ "comparison_notes": "GitHub, GitLab and Gitea are not replacements for Git but hosting services built around it; they add web review, issues, CI and access control to Git's core data model. Choosing among them is a hosting decision (cloud versus self-hosted, license, ecosystem), while Git itself is common to all. Other distributed version control systems such as Mercurial exist but have a much smaller share of hosting and tooling support.",
		22	+ "categories": [{ "slug": "version-control", "primary": true }],
		23	+ "tags": ["version-control", "cli", "open-source", "ssh"],
		24	+ "use_cases": ["collaborate", "write-papers"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["desktop", "on-premises"],
		29	+ "integrations": ["GitHub", "GitLab", "Gitea", "Forgejo", "VS Code", "Git LFS", "SSH", "GPG"],
		30	+ "data_formats": ["Git object store", "patch/diff", "bundle"],
		31	+ "languages": ["C", "Shell", "Perl"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-2.0-only",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://git-scm.com/", "type": "official_site", "title": "Git", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://git-scm.com/doc", "type": "official_docs", "title": "Git Documentation", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/git/git", "type": "repository", "title": "git/git mirror", "supports": ["repo_url"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/git/git/blob/master/COPYING", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "COPYING states GPL v2 only" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": true,
		48	+ "author": "batch-B1"
		49	+}

added content/tools/gitea.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "gitea",
		3	+ "name": "Gitea",
		4	+ "aliases": ["Gitea forge"],
		5	+ "vendor": { "name": "Gitea Ltd. / Gitea community", "slug": "gitea", "website": "https://about.gitea.com" },
		6	+ "homepage_url": "https://about.gitea.com/",
		7	+ "docs_url": "https://docs.gitea.com/",
		8	+ "repo_url": "https://github.com/go-gitea/gitea",
		9	+ "license_url": "https://github.com/go-gitea/gitea/blob/main/LICENSE",
		10	+ "pricing_url": "https://about.gitea.com/pricing/",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Lightweight self-hosted Git forge written in Go with repositories, pull requests, issues, packages and GitHub-compatible Actions, deployable as a single binary",
		14	+ "description": "Gitea is an open-source software forge written in Go, forked from Gogs in 2016 and maintained by a community with commercial backing from Gitea Ltd. It ships as a single binary or container image and provides Git hosting over SSH and HTTPS, pull requests with review, issues and milestones, wikis, a package registry for formats such as npm, PyPI, Docker and Go modules, and Gitea Actions, a CI system that reuses the GitHub Actions workflow syntax and much of its ecosystem through act_runner.\n\nIts footprint is the defining trait: Gitea runs comfortably on a small VM, a Raspberry Pi or a spare Mac mini with SQLite, and scales to PostgreSQL or MySQL for larger installations. Authentication supports local accounts, LDAP, OAuth2 and OpenID Connect, and repository mirroring can pull from or push to GitHub and GitLab. Gitea Ltd. also offers a hosted Gitea Cloud and an Enterprise edition with support, while the core remains MIT-licensed.\n\nIn a private cluster, Gitea is a natural home for internal repositories, mirrors of external projects and a package cache, with Actions runners placed on the nodes that have the right toolchains. The 2022 creation of Gitea Ltd. and its control of the trademark and domain prompted part of the community to fork the project as Forgejo; both continue to be developed and remain broadly compatible, though they have diverged in features and governance.\n\nLimitations: the hosted Gitea Cloud and Enterprise tiers are commercial, the Actions implementation is not a complete clone of GitHub's (some marketplace actions and services behave differently), and Gitea provides neither the managed security scanning nor the social discovery of GitHub.",
		15	+ "capabilities": ["Git hosting over SSH and HTTPS with branch protection", "Pull requests, code review and issue tracking", "Gitea Actions CI compatible with GitHub workflow syntax", "Package registry for npm, PyPI, Docker, Go and more", "Repository mirroring to and from other forges", "LDAP, OAuth2 and OpenID Connect authentication", "Single-binary or container deployment with SQLite, PostgreSQL or MySQL", "REST API and webhooks"],
		16	+ "workflows": ["Host private repositories for a small team on one server", "Mirror GitHub projects for offline or air-gapped use", "Run CI jobs on self-hosted act_runner nodes", "Serve a private npm or PyPI registry"],
		17	+ "advantages": ["Very low resource requirements", "MIT license with commercial support available", "Familiar GitHub-style interface and Actions syntax", "Easy to install and upgrade"],
		18	+ "limitations": ["Actions compatibility with GitHub is partial", "No managed security scanning", "Hosted and enterprise editions are commercial", "Governance change led to the Forgejo fork"],
		19	+ "prerequisites": ["A Linux, macOS or Windows host; optional PostgreSQL or MySQL"],
		20	+ "audiences": ["Small teams and individuals self-hosting Git", "Organizations needing an air-gapped forge", "Home-lab and private-cluster operators"],
		21	+ "alternatives": ["forgejo", "gitlab", "github"],
		22	+ "comparison_notes": "Forgejo is a community fork of Gitea under GPL-3.0-or-later governance by Codeberg; it tracks many of the same features and is the choice for users who prefer a non-profit steward. GitLab's self-managed edition offers a much broader DevOps platform at a far higher resource cost. GitHub provides the community and managed services that a self-hosted forge cannot, and is commonly used alongside Gitea through mirroring.",
		23	+ "categories": [{ "slug": "version-control", "primary": true }, { "slug": "ci-cd" }],
		24	+ "tags": ["version-control", "self-hosted", "open-source", "ci", "go"],
		25	+ "use_cases": ["collaborate", "host-web-apps"],
		26	+ "operating_systems": ["linux", "macos", "windows", "web"],
		27	+ "execution_modes": ["self-hosted", "cloud"],
		28	+ "interfaces": ["web", "api", "cli"],
		29	+ "deployment_models": ["on-premises", "saas"],
		30	+ "integrations": ["Git", "act_runner", "PostgreSQL", "MySQL", "SQLite", "LDAP", "OpenID Connect", "Docker"],
		31	+ "data_formats": ["Git repositories", "YAML workflows", "Markdown", "npm/PyPI/OCI packages"],
		32	+ "languages": ["Go", "JavaScript"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://about.gitea.com/", "type": "official_site", "title": "Gitea Official Website", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.gitea.com/", "type": "official_docs", "title": "Gitea Documentation", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/go-gitea/gitea/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://about.gitea.com/pricing/", "type": "pricing_page", "title": "Gitea pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Gitea Cloud and Enterprise offerings" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/github-actions.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "github-actions",
		3	+ "name": "GitHub Actions",
		4	+ "aliases": ["Actions"],
		5	+ "vendor": { "name": "GitHub (Microsoft)", "slug": "github-inc", "website": "https://github.com" },
		6	+ "homepage_url": "https://github.com/features/actions",
		7	+ "docs_url": "https://docs.github.com/en/actions",
		8	+ "pricing_url": "https://docs.github.com/en/billing/concepts/product-billing/github-actions",
		9	+ "product_type": "service",
		10	+ "product_status": "active",
		11	+ "summary": "GitHub's CI/CD and automation service that runs YAML-defined workflows on hosted or self-hosted runners in response to repository events",
		12	+ "description": "GitHub Actions is the continuous-integration and automation service built into GitHub. Workflows are YAML files stored under `.github/workflows` that run jobs when events occur, such as a push, a pull request, a schedule or a manual trigger. Jobs execute on GitHub-hosted runners (Linux, Windows and macOS images, including Apple Silicon) or on self-hosted runners that organizations register on their own machines, which allows builds to use local hardware, private networks or GPUs.\n\nReusable steps come from a marketplace of actions published as repositories, and workflows can call other workflows, use matrices to fan out across versions and platforms, cache dependencies and publish artifacts and releases. Secrets and OpenID Connect tokens handle credentials for deployments. Public repositories receive hosted runner time at no charge; private repositories have included quotas and metered usage beyond them, as described on the billing page. Because the workflow syntax has become a de facto standard, Gitea and Forgejo implement compatible runners. The service's limits include lock-in to GitHub as the event source, debugging that often requires repeated pushes, and hosted macOS minutes that are billed at a higher multiplier than Linux.",
		13	+ "capabilities": ["Event-triggered YAML workflows", "Hosted runners for Linux, Windows and macOS", "Self-hosted runners on your own hardware", "Marketplace of reusable actions", "Matrix builds, caching and artifacts", "Secrets and OIDC for cloud deployments"],
		14	+ "workflows": ["Run tests on every pull request across several language versions", "Build and publish a container image on tag", "Deploy to a server through SSH or a cloud provider using OIDC", "Run jobs on an Apple Silicon self-hosted runner"],
		15	+ "advantages": ["No separate CI service to operate", "Large ecosystem of reusable actions", "Self-hosted runners extend to private infrastructure"],
		16	+ "limitations": ["Tied to GitHub as the host", "Local debugging of workflows is awkward", "Hosted minutes are metered on private repositories"],
		17	+ "prerequisites": ["A GitHub repository"],
		18	+ "audiences": ["Teams hosting code on GitHub", "Open-source maintainers", "Platform engineers managing runners"],
		19	+ "alternatives": ["gitlab", "gitea", "forgejo"],
		20	+ "comparison_notes": "GitLab CI is the integrated equivalent on GitLab with its own pipeline syntax and runners. Gitea Actions and Forgejo Actions reuse the GitHub Actions workflow format and many marketplace actions, which makes them the closest self-hosted substitutes, though compatibility is not complete.",
		21	+ "categories": [{ "slug": "ci-cd", "primary": true }],
		22	+ "tags": ["ci", "automation", "github", "yaml"],
		23	+ "use_cases": ["automate-builds", "host-web-apps"],
		24	+ "operating_systems": ["web", "linux", "macos", "windows"],
		25	+ "execution_modes": ["cloud", "self-hosted"],
		26	+ "interfaces": ["web", "api", "cli"],
		27	+ "deployment_models": ["saas", "hybrid"],
		28	+ "integrations": ["GitHub", "Docker", "npm", "PyPI", "AWS", "Azure", "Google Cloud", "Slack"],
		29	+ "data_formats": ["YAML workflows", "Artifacts", "JUnit reports"],
		30	+ "languages": ["YAML", "JavaScript", "Shell"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://github.com/features/actions", "type": "official_site", "title": "GitHub Actions", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.github.com/en/actions", "type": "official_docs", "title": "GitHub Actions documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.github.com/en/billing/concepts/product-billing/github-actions", "type": "pricing_page", "title": "Billing for GitHub Actions", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "uncertainty_note": "Runner software is open source but the orchestration service is proprietary; self_hostable refers to the service, not the runners.",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/github.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "github",
		3	+ "name": "GitHub",
		4	+ "aliases": ["GitHub.com", "GitHub Enterprise"],
		5	+ "vendor": { "name": "GitHub (Microsoft)", "slug": "github-inc", "website": "https://github.com" },
		6	+ "homepage_url": "https://github.com/",
		7	+ "docs_url": "https://docs.github.com/en",
		8	+ "pricing_url": "https://github.com/pricing",
		9	+ "privacy_url": "https://docs.github.com/en/site-policy/privacy-policies/github-general-privacy-statement",
		10	+ "security_url": "https://github.com/security",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Microsoft-owned code hosting platform for Git repositories with pull requests, issues, Actions CI/CD, package registry, Copilot and the largest open-source community",
		14	+ "description": "GitHub is a Git hosting and software collaboration platform operated by GitHub, Inc., a Microsoft subsidiary since 2018. It hosts public and private repositories and adds the collaboration layer that Git itself lacks: pull requests with code review, issues and project boards, discussions, wikis, releases and a package registry. GitHub Actions provides CI/CD and automation that runs on hosted or self-hosted runners, Codespaces offers cloud development environments, and GitHub Copilot integrates AI assistance into the web interface, editors and pull requests.\n\nAs the home of most open-source projects, GitHub is also the de facto identity layer for developer tooling: package registries, CI providers and documentation sites authenticate through GitHub accounts, and the `gh` command-line client scripts most platform operations. Organizations can enforce branch protection, required reviews, secret scanning, Dependabot updates and single sign-on. Pricing is freemium with per-user team and enterprise tiers; GitHub Enterprise Server is the self-hosted variant for organizations that cannot use the cloud service.\n\nFor research groups GitHub is a convenient place to publish replication code, link releases to Zenodo DOIs and run automated checks on papers or notebooks. The trade-offs are those of a proprietary cloud service: the platform code is not open source, data lives on GitHub's infrastructure (the privacy statement describes processing), outages affect everyone at once, and advanced features such as Actions minutes and storage are metered on private repositories. Teams wanting full control usually pair GitHub with or replace it by a self-hosted forge such as Gitea or Forgejo.",
		15	+ "capabilities": ["Git repository hosting with branch protection and code owners", "Pull requests with review, suggestions and merge queues", "Issues, projects, discussions and wikis", "GitHub Actions CI/CD on hosted or self-hosted runners", "Package and container registry", "Security features: Dependabot, secret and code scanning", "Codespaces cloud development environments", "Copilot AI assistance and gh command-line client"],
		16	+ "workflows": ["Review and merge changes through pull requests", "Run tests and deployments on every push with Actions", "Publish an open-source project with releases and a DOI through Zenodo", "Manage organization access with teams and SSO"],
		17	+ "advantages": ["Largest developer community and ecosystem integrations", "Free tier for public and private repositories", "Broad automation through Actions and the API", "Mature security tooling"],
		18	+ "limitations": ["Proprietary platform; only Enterprise Server is self-hostable", "Metered Actions and storage on private repositories", "Dependence on a single vendor's availability", "Mirror of the host's data-processing jurisdiction"],
		19	+ "prerequisites": ["A GitHub account; Git on the client"],
		20	+ "audiences": ["Open-source maintainers and contributors", "Software teams of any size", "Researchers publishing code and data"],
		21	+ "alternatives": ["gitlab", "gitea", "forgejo"],
		22	+ "comparison_notes": "GitLab offers a comparable feature set with an open-core model and a self-managed edition that includes CI natively; it is often chosen when self-hosting the full DevOps toolchain matters. Gitea and Forgejo are lightweight, open-source forges that run on a single small server and implement GitHub-compatible Actions; they cover hosting, review and CI for private groups but lack GitHub's community reach and managed security services.",
		23	+ "categories": [{ "slug": "version-control", "primary": true }, { "slug": "ci-cd" }],
		24	+ "tags": ["version-control", "ci", "collaboration", "api", "open-source-hosting"],
		25	+ "use_cases": ["collaborate", "host-web-apps"],
		26	+ "operating_systems": ["web"],
		27	+ "execution_modes": ["cloud", "self-hosted"],
		28	+ "interfaces": ["web", "cli", "api", "desktop", "mobile"],
		29	+ "deployment_models": ["saas", "on-premises"],
		30	+ "integrations": ["Git", "GitHub Actions", "Copilot", "VS Code", "Zenodo", "Slack", "Dependabot", "npm", "Docker Hub"],
		31	+ "data_formats": ["Git repositories", "YAML workflows", "Markdown", "REST/GraphQL JSON"],
		32	+ "languages": ["Ruby", "Go", "TypeScript"],
		33	+ "source_model": "proprietary",
		34	+ "pricing_model": ["freemium", "paid", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": true,
		37	+ "sources": [
		38	+ { "url": "https://github.com/", "type": "official_site", "title": "GitHub", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://docs.github.com/en", "type": "official_docs", "title": "GitHub Docs", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/pricing", "type": "pricing_page", "title": "GitHub Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://docs.github.com/en/site-policy/privacy-policies/github-general-privacy-statement", "type": "policy_page", "title": "GitHub General Privacy Statement", "supports": ["privacy_url"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "deep",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-B1"
		50	+}

added content/tools/gitlab.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "gitlab",
		3	+ "name": "GitLab",
		4	+ "aliases": ["GitLab CE", "GitLab EE", "GitLab.com"],
		5	+ "vendor": { "name": "GitLab Inc.", "slug": "gitlab-inc", "website": "https://about.gitlab.com" },
		6	+ "homepage_url": "https://about.gitlab.com/",
		7	+ "docs_url": "https://docs.gitlab.com/",
		8	+ "repo_url": "https://gitlab.com/gitlab-org/gitlab",
		9	+ "license_url": "https://gitlab.com/gitlab-org/gitlab/-/blob/master/LICENSE",
		10	+ "pricing_url": "https://about.gitlab.com/pricing/",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Open-core DevSecOps platform combining Git hosting, merge requests, integrated CI/CD pipelines, registry and security scanning, available as SaaS or self-managed",
		14	+ "description": "GitLab is a DevSecOps platform developed by GitLab Inc. that bundles Git repository hosting, merge requests, issue tracking, a container and package registry, and a CI/CD system defined in a `.gitlab-ci.yml` file into a single application. It is offered as a hosted service (GitLab.com), as a dedicated single-tenant cloud, and as self-managed software installed on an organization's own servers.\n\nThe code is open core: the Community Edition is MIT-licensed, while features in the `ee/` directory are under a proprietary license and unlocked by Premium and Ultimate subscriptions. The free tier covers the essentials for small teams; higher tiers add compliance, security scanning, planning and AI features. GitLab is frequently chosen by organizations that want the entire toolchain self-hosted with CI included, rather than assembling a forge and a separate CI service. Its main drawbacks are the resource requirements of a self-managed instance, which is substantially heavier than Gitea or Forgejo, and the breadth of configuration that comes with a platform of this size.",
		15	+ "capabilities": ["Git hosting with merge requests and approvals", "Integrated CI/CD pipelines with runners", "Container and package registry", "Issue tracking, epics and boards", "Security scanning (SAST, dependency, container)", "Self-managed and SaaS deployment options"],
		16	+ "workflows": ["Run build, test and deploy stages from one pipeline file", "Self-host the full platform behind a corporate network", "Review code with approval rules and protected branches"],
		17	+ "advantages": ["CI/CD built in rather than added", "Self-managed edition with open-source core", "Single application for the full lifecycle"],
		18	+ "limitations": ["Self-managed instances need substantial resources", "Many features reserved for paid tiers", "Large configuration surface"],
		19	+ "prerequisites": ["GitLab.com account, or a Linux server for self-managed installation"],
		20	+ "audiences": ["Engineering organizations wanting an integrated DevOps platform", "Teams required to self-host", "Regulated industries"],
		21	+ "alternatives": ["github", "gitea", "forgejo"],
		22	+ "comparison_notes": "GitHub has the larger community and ecosystem but is proprietary with self-hosting only at the enterprise level; GitLab's self-managed edition is available to everyone. Gitea and Forgejo are much lighter forges with Actions-compatible CI, suited to small teams and modest hardware, whereas GitLab targets the full enterprise toolchain.",
		23	+ "categories": [{ "slug": "version-control", "primary": true }, { "slug": "ci-cd" }],
		24	+ "tags": ["version-control", "ci", "self-hosted", "open-source", "devops"],
		25	+ "use_cases": ["collaborate"],
		26	+ "operating_systems": ["web", "linux"],
		27	+ "execution_modes": ["cloud", "self-hosted"],
		28	+ "interfaces": ["web", "api", "cli"],
		29	+ "deployment_models": ["saas", "on-premises", "managed-cloud"],
		30	+ "integrations": ["Git", "Kubernetes", "Docker", "Terraform", "Slack", "Jira"],
		31	+ "data_formats": ["Git repositories", ".gitlab-ci.yml", "Markdown"],
		32	+ "languages": ["Ruby", "Go", "Vue.js"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["freemium", "paid", "enterprise", "open-source"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://about.gitlab.com/", "type": "official_site", "title": "GitLab", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.gitlab.com/", "type": "official_docs", "title": "GitLab Docs", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://gitlab.com/gitlab-org/gitlab/-/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "MIT Expat for core; ee/ directory under proprietary license" },
		42	+ { "url": "https://about.gitlab.com/pricing/", "type": "pricing_page", "title": "GitLab Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/gnu-parallel.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "gnu-parallel",
		3	+ "name": "GNU Parallel",
		4	+ "aliases": ["parallel"],
		5	+ "vendor": { "name": "GNU Project (Ole Tange)", "slug": "gnu", "website": "https://www.gnu.org/" },
		6	+ "homepage_url": "https://www.gnu.org/software/parallel/",
		7	+ "docs_url": "https://www.gnu.org/software/parallel/man.html",
		8	+ "repo_url": "https://savannah.gnu.org/projects/parallel/",
		9	+ "license_url": "https://www.gnu.org/licenses/gpl-3.0.html",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Shell tool that runs commands in parallel over input lines on one or several machines, as a drop-in alternative to xargs and shell loops",
		13	+ "description": "GNU Parallel is a command-line tool from the GNU Project, written and maintained by Ole Tange, for executing jobs in parallel on one or more computers. It reads a list of inputs (files, hosts, URLs, table names or lines from a pipe) and runs a command once per input, keeping a configurable number of jobs running at a time. Output is buffered so that results appear exactly as if the commands had run sequentially, which lets it slot into pipelines. The options deliberately mirror xargs, and it can replace most `for` loops in shell scripts.\n\nWith `--sshlogin` it distributes jobs to remote hosts over SSH, transferring input files and returning results, which makes it a lightweight way to use a handful of machines, such as a cluster of Macs, without a scheduler. Other features include job logs, retries, resumable runs, progress display and splitting large inputs into chunks for parallel processing.\n\nIt is licensed under the GPL version 3 or later and is available through Homebrew and all major Linux distributions. The program asks users to cite it in academic work (silenceable with `--citation`), which some find intrusive, and it is a Perl script that depends on Perl being present; it does not provide scheduling, queues or fault tolerance beyond simple retries.",
		14	+ "capabilities": ["Parallel execution of a command over input lines", "Remote execution over SSH with file transfer", "Ordered output buffering for pipeline use", "Job logs, retries and resumable runs", "Splitting large inputs into blocks"],
		15	+ "workflows": ["Convert thousands of files using all cores", "Run a script on each host in a list via SSH", "Chunk a large text file through a processing command"],
		16	+ "advantages": ["Zero setup; one Perl script", "Familiar xargs-style options", "Works across machines without a scheduler"],
		17	+ "limitations": ["No queueing, priorities or persistent state", "Citation notice must be acknowledged", "Depends on Perl and SSH for remote jobs"],
		18	+ "prerequisites": ["Perl", "SSH access for remote hosts"],
		19	+ "audiences": ["Shell users processing many files", "Researchers running embarrassingly parallel jobs"],
		20	+ "alternatives": ["slurm", "dask", "ray"],
		21	+ "categories": [{ "slug": "distributed-computing", "primary": true }, { "slug": "terminals-shells" }],
		22	+ "tags": ["cli", "shell", "parallel", "open-source", "linux", "macos"],
		23	+ "use_cases": ["distribute-computation"],
		24	+ "operating_systems": ["linux", "macos"],
		25	+ "execution_modes": ["local", "self-hosted"],
		26	+ "interfaces": ["cli"],
		27	+ "deployment_models": ["desktop", "on-premises"],
		28	+ "integrations": ["SSH", "Homebrew", "xargs-compatible pipelines"],
		29	+ "data_formats": ["Text lines", "CSV (--csv)"],
		30	+ "languages": ["Perl"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "GPL-3.0-or-later",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.gnu.org/software/parallel/", "type": "official_site", "title": "GNU Parallel", "supports": ["name", "summary", "description"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.gnu.org/software/parallel/man.html", "type": "official_docs", "title": "GNU Parallel manual", "supports": ["capabilities", "license_spdx", "limitations"], "checked_at": "2026-11-02", "note": "Manual states GPL version 3 or later" },
		38	+ { "url": "https://savannah.gnu.org/projects/parallel/", "type": "repository", "title": "GNU Parallel on Savannah", "supports": ["repo_url"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/go.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "go",
		3	+ "name": "Go",
		4	+ "aliases": ["Golang", "Go language"],
		5	+ "vendor": { "name": "Google / The Go Authors", "slug": "google", "website": "https://go.dev" },
		6	+ "homepage_url": "https://go.dev/",
		7	+ "docs_url": "https://go.dev/doc/",
		8	+ "repo_url": "https://github.com/golang/go",
		9	+ "license_url": "https://go.dev/LICENSE",
		10	+ "product_type": "language",
		11	+ "product_status": "active",
		12	+ "summary": "Statically typed, garbage-collected language from Google that compiles to single binaries and is widely used for servers, CLIs and infrastructure tooling",
		13	+ "description": "Go is an open-source programming language designed at Google and maintained by the Go team and contributors. It is statically typed, garbage-collected and compiles quickly to a single static binary per platform, with goroutines and channels providing lightweight concurrency in the language itself. A deliberately small feature set and a standard code formatter (`gofmt`) keep codebases uniform.\n\nGo is the implementation language of much of the infrastructure stack: Docker, Kubernetes, Caddy, Traefik, Prometheus, Gitea, Forgejo and Hugo are written in it, and Microsoft's native TypeScript compiler port uses it too. The standard library includes an HTTP server, templating, cryptography and testing, so small services often have few external dependencies; modules and the proxy-backed module system handle versioning. Caveats include a comparatively minimal type system (generics arrived late and remain restrained), verbose error handling, and a garbage collector that is not suited to hard real-time constraints.",
		14	+ "capabilities": ["Fast compilation to static native binaries", "Goroutines and channels for concurrency", "Standard library with HTTP server, crypto and testing", "Cross-compilation for multiple OS and architectures", "Module system with checksum database", "Built-in formatting, vetting and profiling tools"],
		15	+ "workflows": ["Build a network service and ship it as one binary", "Cross-compile a CLI for macOS, Linux and Windows from one machine", "Write infrastructure tooling that integrates with Kubernetes or Docker"],
		16	+ "advantages": ["Simple deployment with no runtime dependency", "Short compile times", "BSD-3-Clause license"],
		17	+ "limitations": ["Minimal type system compared with Rust or TypeScript", "Verbose explicit error handling", "Garbage collection unsuitable for hard real-time work"],
		18	+ "prerequisites": ["Go toolchain from go.dev or a package manager"],
		19	+ "audiences": ["Backend and infrastructure engineers", "DevOps and platform teams", "Developers of networked CLIs"],
		20	+ "alternatives": ["rust", "nodejs", "python"],
		21	+ "comparison_notes": "Rust offers finer control and memory safety without a collector at the cost of a harder learning curve and slower compiles. Node.js and Python are dynamically typed scripting runtimes that are faster to prototype in but require a runtime to be installed where the code runs; Go is often chosen when a service must ship as a self-contained binary.",
		22	+ "categories": [{ "slug": "programming-languages", "primary": true }],
		23	+ "tags": ["go", "open-source", "cli", "systems-programming"],
		24	+ "use_cases": ["build-cli-tools", "host-web-apps"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["on-premises", "managed-cloud", "desktop"],
		29	+ "integrations": ["Docker", "Kubernetes", "VS Code (gopls)", "GitHub Actions"],
		30	+ "data_formats": ["go.mod", "go.sum", "JSON"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "BSD-3-Clause",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://go.dev/", "type": "official_site", "title": "The Go Programming Language", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://go.dev/doc/", "type": "official_docs", "title": "Go Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://go.dev/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/godaddy.json +45 −0

				@@ -0,0 +1,45 @@
		1	+{
		2	+ "slug": "godaddy",
		3	+ "name": "GoDaddy",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "GoDaddy Inc.", "slug": "godaddy-inc", "website": "https://www.godaddy.com" },
		6	+ "homepage_url": "https://www.godaddy.com/",
		7	+ "docs_url": "https://www.godaddy.com/help",
		8	+ "product_type": "service",
		9	+ "product_status": "active",
		10	+ "summary": "Domain registrar and web-hosting company offering DNS management, SSL certificates, email and website builders, with a developer API for domains",
		11	+ "description": "GoDaddy is a domain registrar and hosting provider. Its core service is registering and renewing domain names with DNS management in a web console; around it the company sells shared, WordPress and VPS hosting, SSL certificates, Microsoft 365 mailboxes, website builders, aftermarket domain auctions and reseller programs.\n\nFor technical users the relevant pieces are the DNS editor, nameserver delegation (for example to Cloudflare), and the GoDaddy Developer API, which exposes domain availability checks, registration and DNS record management with an OTE test environment. The help centre documents account, domain and DNS procedures.\n\nIt is a mainstream registrar rather than a developer-focused one: DNS has no advanced routing features, and API access conditions have changed over time, so automation should be verified against the current developer documentation.",
		12	+ "capabilities": ["Domain registration, transfer and renewal", "DNS record management and nameserver delegation", "Developer API for domains and DNS with a test environment", "SSL certificates and web hosting products"],
		13	+ "workflows": ["Register a domain and point its nameservers or A records at a server or tunnel gateway", "Automate DNS records through the Developer API"],
		14	+ "advantages": ["Broad TLD coverage and mature account tooling", "Documented API for domain operations"],
		15	+ "limitations": ["Basic DNS feature set compared with dedicated DNS providers", "API access terms have changed over time; verify eligibility", "Website blocks automated requests, complicating link checks"],
		16	+ "prerequisites": ["GoDaddy account"],
		17	+ "audiences": ["Site owners and small businesses", "Developers automating domain registration"],
		18	+ "alternatives": ["cloudflare", "ovhcloud"],
		19	+ "comparison_notes": "Cloudflare's registrar and DNS target technical users with API-first management and proxying; OVHcloud bundles domains with its hosting and server catalogue. GoDaddy's strength is breadth of consumer products rather than developer features.",
		20	+ "categories": [{ "slug": "dns-domains", "primary": true }],
		21	+ "tags": ["registrar", "dns", "hosting", "api"],
		22	+ "use_cases": ["manage-dns", "host-web-apps"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["web", "api"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Microsoft 365", "WordPress"],
		28	+ "data_formats": ["DNS records", "JSON"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["paid"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://www.godaddy.com/help", "type": "official_site", "title": "GoDaddy Help Center", "supports": ["name", "capabilities", "summary"], "checked_at": "2026-11-02", "note": "Loaded through a third-party fetcher; direct requests from command-line clients receive HTTP 403." },
		35	+ { "url": "https://developer.godaddy.com/en", "type": "official_docs", "title": "GoDaddy Developer API", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" }
		36	+ ],
		37	+ "confidence": "medium",
		38	+ "uncertainty_note": "The homepage https://www.godaddy.com/ returned HTTP 403 to automated fetches on 2026-11-02 (bot protection); it is the canonical address but could not be loaded by the link checker. No pricing_url is recorded because product pages could not be loaded.",
		39	+ "discovery_method": "editorial-research",
		40	+ "depth": "standard",
		41	+ "editorial_status": "reviewed",
		42	+ "visibility": "public",
		43	+ "featured": false,
		44	+ "author": "batch-B2"
		45	+}

added content/tools/google-cloud.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "google-cloud",
		3	+ "name": "Google Cloud",
		4	+ "aliases": ["Google Cloud Platform", "GCP"],
		5	+ "vendor": { "name": "Google LLC", "slug": "google", "website": "https://cloud.google.com" },
		6	+ "homepage_url": "https://cloud.google.com/",
		7	+ "docs_url": "https://docs.cloud.google.com/docs",
		8	+ "pricing_url": "https://cloud.google.com/pricing",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "Google's public cloud with Compute Engine, GKE, Cloud Run, BigQuery, Cloud Storage and the Vertex AI platform for Gemini and other models",
		12	+ "description": "Google Cloud is the public cloud platform of Google LLC. Core services include Compute Engine virtual machines, Google Kubernetes Engine (the managed Kubernetes offering from the company where Kubernetes originated), Cloud Run for containers without servers, Cloud Storage for objects, Cloud SQL and AlloyDB for PostgreSQL and MySQL, and BigQuery, a serverless data warehouse that is a frequent reason organizations adopt the platform. Vertex AI hosts Gemini and third-party models with tuning, evaluation and agent tooling, and Cloud KMS, IAM and VPC cover security and networking.\n\nServices are managed through the console, the gcloud CLI, client libraries and Terraform, with usage-based billing, a free tier and committed-use discounts. Documentation has moved to docs.cloud.google.com.\n\nIts footprint and catalogue are smaller than AWS in some areas, pricing models differ by service, and like other hyperscalers it requires IAM and cost expertise to run economically.",
		13	+ "capabilities": ["Virtual machines, managed Kubernetes (GKE) and serverless containers (Cloud Run)", "Cloud Storage objects and Cloud SQL, AlloyDB and Spanner databases", "BigQuery serverless analytics warehouse", "Vertex AI for hosted Gemini and partner models", "IAM, KMS, VPC networking and global load balancing", "gcloud CLI, client libraries and Terraform provider"],
		14	+ "workflows": ["Analyze large datasets in BigQuery from SQL or notebooks", "Deploy a container to Cloud Run with automatic scaling", "Call Gemini models through Vertex AI with enterprise controls"],
		15	+ "advantages": ["Strong data analytics and Kubernetes offerings", "Access to Google models within the same platform", "Global private network"],
		16	+ "limitations": ["Smaller regional footprint and catalogue than AWS in places", "Service-specific pricing models complicate forecasting", "Requires IAM and billing expertise"],
		17	+ "prerequisites": ["Google Cloud account with billing"],
		18	+ "audiences": ["Data and analytics teams", "Kubernetes-centric engineering teams", "Developers building on Gemini"],
		19	+ "alternatives": ["aws", "azure", "hetzner"],
		20	+ "comparison_notes": "AWS has the broadest catalogue and S3 ecosystem; Azure integrates with Microsoft identity and enterprise software; Google Cloud is often chosen for BigQuery, GKE and Vertex AI. Hetzner is a low-cost server provider without managed analytics or AI services.",
		21	+ "categories": [{ "slug": "cloud-hosting", "primary": true }],
		22	+ "tags": ["cloud", "kubernetes", "bigquery", "serverless", "api", "usage-based", "llm"],
		23	+ "use_cases": ["host-web-apps", "provision-infrastructure", "serve-models", "store-data"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "cli", "sdk"],
		27	+ "deployment_models": ["managed-cloud"],
		28	+ "integrations": ["Terraform", "Kubernetes", "Docker", "GitHub Actions", "PostgreSQL"],
		29	+ "data_formats": ["JSON", "Parquet (BigQuery)", "Avro"],
		30	+ "languages": ["Python", "JavaScript", "Go", "Java", "C#"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["usage-based", "freemium", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://cloud.google.com/", "type": "official_site", "title": "Google Cloud", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.cloud.google.com/docs", "type": "official_docs", "title": "Google Cloud Documentation", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02", "note": "cloud.google.com/docs redirects here." },
		38	+ { "url": "https://cloud.google.com/pricing", "type": "pricing_page", "title": "Google Cloud Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/google-maps-platform.json +163 −0

				@@ -0,0 +1,163 @@
		1	+{
		2	+ "slug": "google-maps-platform",
		3	+ "name": "Google Maps Platform",
		4	+ "aliases": [
		5	+ "Google Maps API",
		6	+ "Maps JavaScript API",
		7	+ "Places API",
		8	+ "Geocoding API"
		9	+ ],
		10	+ "vendor": {
		11	+ "name": "Google LLC",
		12	+ "slug": "google",
		13	+ "website": "https://mapsplatform.google.com"
		14	+ },
		15	+ "homepage_url": "https://mapsplatform.google.com/",
		16	+ "docs_url": "https://developers.google.com/maps/documentation",
		17	+ "pricing_url": "https://developers.google.com/maps/billing-and-pricing/pricing",
		18	+ "license_url": "https://cloud.google.com/maps-platform/terms",
		19	+ "product_type": "api-service",
		20	+ "product_status": "active",
		21	+ "summary": "Google's commercial suite of mapping APIs: maps and Street View embedding, Places, Geocoding, Routes and Distance Matrix, billed per request",
		22	+ "description": "Google Maps Platform is Google's set of location APIs and SDKs for developers, managed through Google Cloud projects and API keys. It covers embeddable maps for web, iOS and Android, Street View imagery, Places search and details, geocoding and reverse geocoding, address validation, routing with traffic, distance matrices and environmental APIs. Billing is per request with monthly usage credits, and the terms of service restrict storing geocoding results, using data outside Google maps and bulk download. It is widely used when applications need Google's place database and routing quality, and it integrates with other Google Cloud services. For research pipelines the main constraints are cost at scale, licensing limits on caching and redistribution, and the closed nature of the underlying data.",
		23	+ "capabilities": [
		24	+ "Maps JavaScript API and mobile SDKs for interactive maps",
		25	+ "Places API for POI search, details and autocomplete",
		26	+ "Geocoding, reverse geocoding and address validation",
		27	+ "Routes, Directions and Distance Matrix with traffic",
		28	+ "Street View and aerial imagery",
		29	+ "Usage dashboards and quotas in Google Cloud Console"
		30	+ ],
		31	+ "workflows": [
		32	+ "Geocode a list of property addresses and store coordinates under the permitted terms",
		33	+ "Compute drive-time matrices between listings and employment centres"
		34	+ ],
		35	+ "advantages": [
		36	+ "Extensive place and road data with traffic",
		37	+ "Mature SDKs and documentation"
		38	+ ],
		39	+ "limitations": [
		40	+ "Per-request billing can be significant at scale",
		41	+ "Terms restrict caching, storage and non-Google-map display of results",
		42	+ "Closed data; no self-hosting"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Google Cloud project with billing enabled and API key"
		46	+ ],
		47	+ "audiences": [
		48	+ "Web and mobile developers",
		49	+ "Analysts needing geocoding and travel-time data"
		50	+ ],
		51	+ "alternatives": [
		52	+ "mapbox",
		53	+ "geocodio",
		54	+ "openstreetmap",
		55	+ "maplibre"
		56	+ ],
		57	+ "comparison_notes": "Mapbox offers a comparable commercial stack with different data sources and more styling control; Geocodio focuses on US and Canadian geocoding with permissive storage terms. OpenStreetMap with MapLibre gives an open, self-hostable alternative without Places or traffic routing.",
		58	+ "categories": [
		59	+ {
		60	+ "slug": "gis-mapping",
		61	+ "primary": true
		62	+ }
		63	+ ],
		64	+ "tags": [
		65	+ "maps",
		66	+ "api",
		67	+ "geocoding",
		68	+ "routing",
		69	+ "places",
		70	+ "sdk"
		71	+ ],
		72	+ "use_cases": [
		73	+ "map-geodata",
		74	+ "geocode-addresses"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "ios",
		79	+ "android"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "cloud"
		83	+ ],
		84	+ "interfaces": [
		85	+ "api",
		86	+ "sdk"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "saas"
		90	+ ],
		91	+ "integrations": [
		92	+ "Google Cloud",
		93	+ "BigQuery",
		94	+ "Firebase",
		95	+ "React Google Maps"
		96	+ ],
		97	+ "data_formats": [
		98	+ "JSON",
		99	+ "XML"
		100	+ ],
		101	+ "languages": [
		102	+ "JavaScript",
		103	+ "Swift",
		104	+ "Kotlin",
		105	+ "Java",
		106	+ "Python (client libraries)"
		107	+ ],
		108	+ "source_model": "proprietary",
		109	+ "pricing_model": [
		110	+ "usage-based",
		111	+ "freemium",
		112	+ "enterprise"
		113	+ ],
		114	+ "pricing_checked_at": "2026-11-02",
		115	+ "self_hostable": false,
		116	+ "sources": [
		117	+ {
		118	+ "url": "https://mapsplatform.google.com/",
		119	+ "type": "official_site",
		120	+ "supports": [
		121	+ "name",
		122	+ "summary"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "Google Maps Platform"
		126	+ },
		127	+ {
		128	+ "url": "https://developers.google.com/maps/documentation",
		129	+ "type": "official_docs",
		130	+ "supports": [
		131	+ "capabilities",
		132	+ "interfaces"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "Google Maps Platform documentation"
		136	+ },
		137	+ {
		138	+ "url": "https://developers.google.com/maps/billing-and-pricing/pricing",
		139	+ "type": "pricing_page",
		140	+ "supports": [
		141	+ "pricing_model"
		142	+ ],
		143	+ "checked_at": "2026-11-02",
		144	+ "title": "Google Maps Platform pricing"
		145	+ },
		146	+ {
		147	+ "url": "https://cloud.google.com/maps-platform/terms",
		148	+ "type": "policy_page",
		149	+ "supports": [
		150	+ "limitations"
		151	+ ],
		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Google Maps Platform Terms of Service"
		154	+ }
		155	+ ],
		156	+ "confidence": "high",
		157	+ "depth": "standard",
		158	+ "featured": false,
		159	+ "discovery_method": "editorial-research",
		160	+ "editorial_status": "reviewed",
		161	+ "visibility": "public",
		162	+ "author": "batch-F"
		163	+}

added content/tools/google-scholar.json +45 −0

				@@ -0,0 +1,45 @@
		1	+{
		2	+ "slug": "google-scholar",
		3	+ "name": "Google Scholar",
		4	+ "aliases": ["Scholar"],
		5	+ "vendor": { "name": "Google", "slug": "google", "website": "https://www.google.com" },
		6	+ "homepage_url": "https://scholar.google.com/",
		7	+ "docs_url": "https://scholar.google.com/intl/en/scholar/about.html",
		8	+ "product_type": "service",
		9	+ "product_status": "active",
		10	+ "summary": "Free scholarly search engine from Google that indexes articles, theses, books and court opinions with citation counts and author profiles",
		11	+ "description": "Google Scholar is Google's free search engine for scholarly literature. It crawls publisher sites, repositories, preprint servers and university pages and ranks results by full text, venue, author and citation signals, so it tends to be the broadest single place to start a literature search even though its coverage is not disclosed.\n\nBeyond keyword search, Scholar exposes citation counts and a \"cited by\" link for each record, related-article suggestions, library links that resolve to a university's subscriptions, e-mail alerts for new results, and public author profiles that aggregate an author's citations. Bibliographic records can be exported to BibTeX, RIS and other formats for a reference manager, and inclusion guidelines describe how publishers and repositories can make their content indexable.\n\nIts limits matter for systematic work: there is no official API, bulk or automated querying is blocked, the index cannot be enumerated, results are not reproducible over time, and citation counts include non-peer-reviewed sources. Researchers who need an auditable search typically pair it with a database that exposes its corpus and an API, such as OpenAlex or Semantic Scholar.",
		12	+ "capabilities": ["Full-text search across publishers, repositories and preprint servers", "Citation counts and cited-by navigation", "Public author profiles with aggregated metrics", "E-mail alerts for new matching results", "Library links to institutional subscriptions", "Export of records to BibTeX, RIS and other formats"],
		13	+ "workflows": ["Scoping a new topic before a structured database search", "Tracking who cites a paper via alerts", "Finding open-access copies of paywalled articles"],
		14	+ "advantages": ["Free with no account required for search", "Very broad coverage across disciplines and document types", "Simple interface familiar to most researchers"],
		15	+ "limitations": ["No official API; automated access is blocked", "Index coverage and ranking are not documented", "Searches are not reproducible for systematic reviews", "Citation counts mix peer-reviewed and grey literature"],
		16	+ "prerequisites": ["A web browser; a Google account for alerts and profiles"],
		17	+ "audiences": ["Students and researchers in any field", "Librarians", "Authors tracking their citations"],
		18	+ "alternatives": ["semantic-scholar", "openalex", "scite"],
		19	+ "comparison_notes": "Semantic Scholar and OpenAlex expose their corpora through documented APIs and open data, which Google Scholar does not; Scholar's advantage is breadth and ubiquity rather than programmability.",
		20	+ "categories": [{ "slug": "academic-discovery", "primary": true }],
		21	+ "tags": ["search", "citations", "bibliography", "documentation"],
		22	+ "use_cases": ["manage-references", "write-papers"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["web", "browser-extension"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Zotero (via connector)", "Mendeley", "EndNote", "BibTeX"],
		28	+ "data_formats": ["BibTeX", "RIS", "EndNote", "RefWorks"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["free"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://scholar.google.com/", "type": "official_site", "title": "Google Scholar", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://scholar.google.com/intl/en/scholar/about.html", "type": "official_docs", "title": "About Google Scholar", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://scholar.google.com/intl/en/scholar/inclusion.html", "type": "official_docs", "title": "Inclusion Guidelines for Webmasters", "supports": ["description"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "high",
		39	+ "discovery_method": "editorial-research",
		40	+ "depth": "standard",
		41	+ "editorial_status": "reviewed",
		42	+ "visibility": "public",
		43	+ "featured": false,
		44	+ "author": "batch-E"
		45	+}

added content/tools/google-workspace.json +159 −0

				@@ -0,0 +1,159 @@
		1	+{
		2	+ "slug": "google-workspace",
		3	+ "name": "Google Workspace",
		4	+ "aliases": [
		5	+ "G Suite",
		6	+ "Google Apps for Work"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Google LLC",
		10	+ "slug": "google",
		11	+ "website": "https://workspace.google.com"
		12	+ },
		13	+ "homepage_url": "https://workspace.google.com/",
		14	+ "docs_url": "https://developers.google.com/workspace",
		15	+ "pricing_url": "https://workspace.google.com/pricing",
		16	+ "security_url": "https://workspace.google.com/security/",
		17	+ "product_type": "platform",
		18	+ "product_status": "active",
		19	+ "summary": "Google's hosted productivity suite: Gmail, Drive, Docs, Sheets, Slides, Meet, Chat and Calendar with admin controls, Gemini features and developer APIs",
		20	+ "description": "Google Workspace, formerly G Suite, is Google's subscription productivity and collaboration suite for organisations. It bundles Gmail on custom domains, Drive storage, the Docs, Sheets, Slides and Forms editors with real-time co-editing and comments, Calendar, Meet video conferencing, Chat and Spaces, Sites, Keep and Vids, administered centrally with identity, device and data-retention controls; Gemini AI features are integrated into the apps on current plans. Everything runs in the browser with mobile apps and limited offline modes, and developers automate it through Apps Script, the Workspace REST APIs and Marketplace add-ons. Universities and small companies use it as a complete office environment that needs no servers. Plans are sold by seat (Business Starter, Standard, Plus and Enterprise), with consumer Google accounts offering the editors for free. Limits include dependence on Google's cloud and data policies, editors less feature-rich than desktop Office for complex spreadsheets or typesetting, and constrained offline functionality.",
		21	+ "capabilities": [
		22	+ "Gmail, Calendar and Contacts on custom domains",
		23	+ "Docs, Sheets, Slides and Forms with real-time collaboration",
		24	+ "Drive storage with sharing and shared drives",
		25	+ "Meet video conferencing and Chat",
		26	+ "Admin console with identity, device and retention controls",
		27	+ "Apps Script and REST APIs for automation",
		28	+ "Gemini AI features across the apps"
		29	+ ],
		30	+ "workflows": [
		31	+ "Collaborate on a grant proposal in Docs with comments and suggestions",
		32	+ "Automate a Sheets report with Apps Script pulling from an API"
		33	+ ],
		34	+ "advantages": [
		35	+ "No infrastructure to run",
		36	+ "Strong real-time collaboration",
		37	+ "Scriptable with Apps Script"
		38	+ ],
		39	+ "limitations": [
		40	+ "Cloud dependence and data policy considerations",
		41	+ "Editors lighter than desktop Office for complex work",
		42	+ "Limited offline capability"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Google Workspace subscription or Google account"
		46	+ ],
		47	+ "audiences": [
		48	+ "Small organisations and startups",
		49	+ "Universities and research groups",
		50	+ "Teams favouring browser-based collaboration"
		51	+ ],
		52	+ "alternatives": [
		53	+ "microsoft-365",
		54	+ "notion",
		55	+ "zoom",
		56	+ "slack"
		57	+ ],
		58	+ "comparison_notes": "Microsoft 365 pairs comparable cloud services with full desktop Office applications and deeper enterprise tooling; Google Workspace is browser-first and simpler to administer. Notion covers documents and wikis but not email or spreadsheets; Zoom and Slack overlap only with Meet and Chat.",
		59	+ "categories": [
		60	+ {
		61	+ "slug": "productivity-suites",
		62	+ "primary": true
		63	+ },
		64	+ {
		65	+ "slug": "collaboration-communication"
		66	+ }
		67	+ ],
		68	+ "tags": [
		69	+ "office-suite",
		70	+ "email",
		71	+ "collaboration",
		72	+ "saas",
		73	+ "api",
		74	+ "llm"
		75	+ ],
		76	+ "use_cases": [
		77	+ "collaborate",
		78	+ "write-documents"
		79	+ ],
		80	+ "operating_systems": [
		81	+ "web",
		82	+ "ios",
		83	+ "android"
		84	+ ],
		85	+ "execution_modes": [
		86	+ "cloud"
		87	+ ],
		88	+ "interfaces": [
		89	+ "web",
		90	+ "mobile",
		91	+ "api"
		92	+ ],
		93	+ "deployment_models": [
		94	+ "saas"
		95	+ ],
		96	+ "integrations": [
		97	+ "Apps Script",
		98	+ "Google Cloud",
		99	+ "Slack",
		100	+ "Zoom",
		101	+ "Salesforce",
		102	+ "Marketplace add-ons"
		103	+ ],
		104	+ "data_formats": [
		105	+ "Google Docs/Sheets/Slides",
		106	+ "DOCX/XLSX/PPTX import-export",
		107	+ "PDF"
		108	+ ],
		109	+ "languages": [
		110	+ "JavaScript (Apps Script)"
		111	+ ],
		112	+ "source_model": "proprietary",
		113	+ "pricing_model": [
		114	+ "paid",
		115	+ "enterprise",
		116	+ "freemium"
		117	+ ],
		118	+ "pricing_checked_at": "2026-11-02",
		119	+ "self_hostable": false,
		120	+ "sources": [
		121	+ {
		122	+ "url": "https://workspace.google.com/",
		123	+ "type": "official_site",
		124	+ "supports": [
		125	+ "name",
		126	+ "summary",
		127	+ "capabilities"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "Google Workspace"
		131	+ },
		132	+ {
		133	+ "url": "https://developers.google.com/workspace",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "interfaces",
		137	+ "languages"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "Google Workspace for Developers"
		141	+ },
		142	+ {
		143	+ "url": "https://workspace.google.com/pricing",
		144	+ "type": "pricing_page",
		145	+ "supports": [
		146	+ "pricing_model"
		147	+ ],
		148	+ "checked_at": "2026-11-02",
		149	+ "title": "Google Workspace pricing"
		150	+ }
		151	+ ],
		152	+ "confidence": "high",
		153	+ "depth": "standard",
		154	+ "featured": false,
		155	+ "discovery_method": "editorial-research",
		156	+ "editorial_status": "reviewed",
		157	+ "visibility": "public",
		158	+ "author": "batch-F"
		159	+}

added content/tools/grafana.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "grafana",
		3	+ "name": "Grafana",
		4	+ "aliases": ["Grafana OSS", "Grafana Cloud"],
		5	+ "vendor": { "name": "Grafana Labs", "slug": "grafana-labs", "website": "https://grafana.com" },
		6	+ "homepage_url": "https://grafana.com/",
		7	+ "docs_url": "https://grafana.com/docs/grafana/latest/",
		8	+ "repo_url": "https://github.com/grafana/grafana",
		9	+ "pricing_url": "https://grafana.com/pricing/",
		10	+ "license_url": "https://github.com/grafana/grafana/blob/main/LICENSE",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Dashboarding and alerting platform that visualizes metrics, logs and traces from Prometheus, SQL databases and dozens of other data sources",
		14	+ "description": "Grafana is an open-source visualization and alerting application from Grafana Labs, licensed under AGPL-3.0 since 2021. It connects to data where it already lives, through plugins for Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, PostgreSQL, MySQL, ClickHouse, cloud monitoring APIs and many more, and renders dashboards composed of panels (time series, tables, heatmaps, logs, node graphs) driven by each source's native query language. Dashboards can be templated with variables, shared, versioned as JSON and provisioned from files.\n\nGrafana Alerting evaluates rules against any data source and routes notifications to email, Slack, PagerDuty, webhooks and other contact points, with silences and grouping borrowed from Prometheus Alertmanager. The same binary includes Explore for ad hoc queries, correlations between metrics and logs, annotations and role-based access with teams and folders. Grafana Labs also develops the companion backends Loki (logs), Tempo (traces), Mimir (metrics) and Pyroscope (profiles), and sells Grafana Cloud, a hosted stack with a free tier, and Grafana Enterprise with additional plugins and support.\n\nFor a small infrastructure, Grafana with Prometheus is the common self-hosted pairing: exporters collect host and application metrics, Prometheus stores them, Grafana charts them and alerts. The self-hosted edition requires maintaining its SQLite or Postgres state, plugin updates and authentication, and large dashboards or long ranges put load on the data source rather than Grafana itself. Some data-source plugins and features are reserved for the Enterprise and Cloud offerings.",
		15	+ "capabilities": ["Dashboards with time-series, table, heatmap, log and graph panels", "Data-source plugins for Prometheus, Loki, Tempo, SQL databases, Elasticsearch and cloud APIs", "Unified alerting with notification policies, silences and many contact points", "Templated variables, annotations and dashboard provisioning as JSON", "Explore mode for ad hoc queries and metric-log correlation", "Authentication via OAuth, LDAP, SAML (enterprise) and role-based access"],
		16	+ "workflows": ["Chart node and service metrics scraped by Prometheus", "Alert on error rates or disk usage with Slack or email notifications", "Build an operational dashboard over a PostgreSQL or ClickHouse database", "Provision dashboards from version-controlled JSON"],
		17	+ "advantages": ["Very broad data-source support", "Dashboards are portable JSON shared by a large community", "Free self-hosted edition and a hosted free tier", "Alerting and visualization in one application"],
		18	+ "limitations": ["AGPL-3.0 license imposes obligations when modifying and serving the software", "Some plugins and features are Enterprise or Cloud only", "Query load falls on backing data sources; Grafana stores no metrics itself", "Self-hosting requires managing state, upgrades and authentication"],
		19	+ "prerequisites": ["At least one data source (Prometheus, a SQL database, etc.)", "Docker, a package or a Grafana Cloud account"],
		20	+ "audiences": ["Site-reliability and operations teams", "Developers monitoring their services", "Analysts building operational dashboards over SQL data"],
		21	+ "alternatives": ["prometheus", "uptime-kuma", "metabase"],
		22	+ "comparison_notes": "Prometheus is the metrics store and query engine that Grafana most often visualizes; its built-in UI is minimal, so the two are complementary rather than competing. Uptime Kuma covers only availability checks and status pages with far less setup. Metabase and other BI tools target business data in SQL warehouses with question-style exploration, whereas Grafana is oriented to time series and operational alerting.",
		23	+ "categories": [{ "slug": "monitoring-observability", "primary": true }, { "slug": "bi-dashboards" }],
		24	+ "tags": ["monitoring", "dashboards", "alerting", "time-series", "open-source", "self-hosted", "observability"],
		25	+ "use_cases": ["monitor-services", "visualize-metrics"],
		26	+ "operating_systems": ["linux", "macos", "windows", "web"],
		27	+ "execution_modes": ["self-hosted", "cloud"],
		28	+ "interfaces": ["web", "api", "cli"],
		29	+ "deployment_models": ["on-premises", "saas"],
		30	+ "integrations": ["Prometheus", "Loki", "Tempo", "PostgreSQL", "MySQL", "ClickHouse", "Elasticsearch", "InfluxDB", "Slack", "PagerDuty"],
		31	+ "data_formats": ["Dashboard JSON", "PromQL", "LogQL", "SQL"],
		32	+ "languages": ["Go", "TypeScript"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "AGPL-3.0-only",
		35	+ "pricing_model": ["open-source", "freemium", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://grafana.com/", "type": "official_site", "title": "Grafana Labs", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://grafana.com/docs/grafana/latest/", "type": "official_docs", "title": "Grafana documentation", "supports": ["capabilities", "workflows", "integrations"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/grafana/grafana/blob/main/LICENSE", "type": "license_page", "title": "Grafana LICENSE (AGPL-3.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://grafana.com/pricing/", "type": "pricing_page", "title": "Grafana Cloud pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/great-expectations.json +186 −0

				@@ -0,0 +1,186 @@
		1	+{
		2	+ "aliases": [
		3	+ "GX",
		4	+ "GX Core",
		5	+ "great_expectations"
		6	+ ],
		7	+ "workflows": [
		8	+ "Validate warehouse tables after each pipeline run",
		9	+ "Document data contracts with generated Data Docs",
		10	+ "Gate model training on input data quality"
		11	+ ],
		12	+ "advantages": [
		13	+ "Expressive library of built-in expectations",
		14	+ "Works across DataFrames and SQL sources",
		15	+ "Apache 2.0"
		16	+ ],
		17	+ "limitations": [
		18	+ "Configuration-heavy for small projects",
		19	+ "Hosted GX Cloud discontinued for the public in 2026",
		20	+ "Stewardship transition to Fivetran is recent"
		21	+ ],
		22	+ "prerequisites": [
		23	+ "Python environment and access to the data sources being validated"
		24	+ ],
		25	+ "audiences": [
		26	+ "Data engineers",
		27	+ "Analytics teams enforcing data contracts"
		28	+ ],
		29	+ "alternatives": [
		30	+ "pandera",
		31	+ "pydantic",
		32	+ "dbt",
		33	+ "dagster"
		34	+ ],
		35	+ "tags": [
		36	+ "data-quality",
		37	+ "testing",
		38	+ "python",
		39	+ "open-source",
		40	+ "sql"
		41	+ ],
		42	+ "use_cases": [
		43	+ "test-data-pipelines"
		44	+ ],
		45	+ "operating_systems": [
		46	+ "macos",
		47	+ "linux",
		48	+ "windows"
		49	+ ],
		50	+ "deployment_models": [
		51	+ "embedded"
		52	+ ],
		53	+ "integrations": [
		54	+ "pandas",
		55	+ "Apache Spark",
		56	+ "PostgreSQL",
		57	+ "Snowflake",
		58	+ "BigQuery",
		59	+ "Apache Airflow",
		60	+ "Dagster",
		61	+ "Prefect",
		62	+ "dbt"
		63	+ ],
		64	+ "data_formats": [
		65	+ "JSON expectation suites",
		66	+ "HTML Data Docs"
		67	+ ],
		68	+ "languages": [
		69	+ "Python"
		70	+ ],
		71	+ "self_hostable": true,
		72	+ "discovery_method": "editorial-research",
		73	+ "depth": "standard",
		74	+ "editorial_status": "reviewed",
		75	+ "visibility": "public",
		76	+ "featured": false,
		77	+ "author": "batch-D",
		78	+ "slug": "great-expectations",
		79	+ "name": "Great Expectations (GX Core)",
		80	+ "vendor": {
		81	+ "name": "Great Expectations project (open-source stewardship by Fivetran)",
		82	+ "slug": "great-expectations-project",
		83	+ "website": "https://greatexpectations.io/"
		84	+ },
		85	+ "homepage_url": "https://greatexpectations.io/",
		86	+ "docs_url": "https://docs.greatexpectations.io/",
		87	+ "repo_url": "https://github.com/fivetran/great_expectations",
		88	+ "license_url": "https://github.com/fivetran/great_expectations/blob/develop/LICENSE",
		89	+ "product_type": "library",
		90	+ "product_status": "active",
		91	+ "summary": "Python data-quality framework that declares Expectations about datasets, validates them against pandas, Spark or SQL sources and produces Data Docs",
		92	+ "description": "Great Expectations (GX Core) is an open-source Python framework for data quality released under Apache 2.0. Users declare Expectations, such as column values being non-null, unique, within a range, matching a regex or a distribution, group them into Expectation Suites, and run Validations against batches of data from pandas and Spark DataFrames or SQL databases (PostgreSQL, Snowflake, BigQuery, Databricks and others through SQLAlchemy). Checkpoints bundle validations with actions like notifications, and Data Docs render human-readable HTML reports of results. GX integrates with Airflow, Dagster, Prefect and dbt pipelines as a validation step.\n\nThe project changed hands in 2026: the GX Cloud hosted product was acquired by FICO and ceased to be publicly available from June 2026, while Fivetran became steward of the open-source GX Core project and community, and the repository now lives under the fivetran GitHub organization (the former URL redirects). The open-source library continues, but teams should expect a transition period and verify the roadmap. GX is heavier to configure than Pandera for simple DataFrame checks, and SQL-oriented alternatives (dbt tests) may suffice for warehouse-only validation.",
		93	+ "capabilities": [
		94	+ "Declarative Expectations and Expectation Suites",
		95	+ "Validation against pandas, Spark and SQL data sources",
		96	+ "Checkpoints with notification actions",
		97	+ "Data Docs HTML reports",
		98	+ "Profilers to bootstrap expectations from data",
		99	+ "Integrations with Airflow, Dagster, Prefect and dbt"
		100	+ ],
		101	+ "categories": [
		102	+ {
		103	+ "slug": "data-quality",
		104	+ "primary": true
		105	+ }
		106	+ ],
		107	+ "execution_modes": [
		108	+ "local",
		109	+ "self-hosted"
		110	+ ],
		111	+ "interfaces": [
		112	+ "library",
		113	+ "cli"
		114	+ ],
		115	+ "source_model": "open-source",
		116	+ "license_spdx": "Apache-2.0",
		117	+ "pricing_model": [
		118	+ "open-source",
		119	+ "free"
		120	+ ],
		121	+ "sources": [
		122	+ {
		123	+ "url": "https://greatexpectations.io/",
		124	+ "type": "official_site",
		125	+ "supports": [
		126	+ "name",
		127	+ "summary"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "Great Expectations"
		131	+ },
		132	+ {
		133	+ "url": "https://docs.greatexpectations.io/",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "capabilities",
		137	+ "integrations"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "GX documentation"
		141	+ },
		142	+ {
		143	+ "url": "https://greatexpectations.io/blog/an-update-from-great-expectations",
		144	+ "type": "news",
		145	+ "supports": [
		146	+ "vendor",
		147	+ "product_status",
		148	+ "pricing_model"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "An update from Great Expectations (2026-05-06)",
		152	+ "note": "FICO acquired GX Cloud (unavailable publicly from June 1); Fivetran becomes steward of GX Core"
		153	+ },
		154	+ {
		155	+ "url": "https://www.fivetran.com/press/fivetran-to-become-steward-of-the-great-expectations-open-source-community-and-gx-core-project",
		156	+ "type": "news",
		157	+ "supports": [
		158	+ "vendor"
		159	+ ],
		160	+ "checked_at": "2026-11-02",
		161	+ "title": "Fivetran to become steward of the Great Expectations open source community"
		162	+ },
		163	+ {
		164	+ "url": "https://github.com/fivetran/great_expectations/blob/develop/LICENSE",
		165	+ "type": "license_page",
		166	+ "supports": [
		167	+ "license_spdx",
		168	+ "source_model"
		169	+ ],
		170	+ "checked_at": "2026-11-02",
		171	+ "title": "great_expectations LICENSE (Apache 2.0)",
		172	+ "note": "github.com/great-expectations/great_expectations redirects to this repository"
		173	+ },
		174	+ {
		175	+ "url": "https://github.com/fivetran/great_expectations",
		176	+ "type": "repository",
		177	+ "supports": [
		178	+ "repo_url"
		179	+ ],
		180	+ "checked_at": "2026-11-02",
		181	+ "title": "fivetran/great_expectations"
		182	+ }
		183	+ ],
		184	+ "confidence": "medium",
		185	+ "uncertainty_note": "The greatexpectations.io pricing page still exists but GX Cloud is no longer publicly available per the May 2026 announcement; no pricing_url is recorded and pricing reflects the open-source library only. Governance under Fivetran is recent and may evolve."
		186	+}

added content/tools/gretl.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "gretl",
		3	+ "name": "gretl",
		4	+ "aliases": ["Gnu Regression, Econometrics and Time-series Library"],
		5	+ "vendor": { "name": "gretl developers (Allin Cottrell, Riccardo Lucchetti)", "slug": "gretl", "website": "https://gretl.sourceforge.net" },
		6	+ "homepage_url": "https://gretl.sourceforge.net/",
		7	+ "docs_url": "https://gretl.sourceforge.net/",
		8	+ "product_type": "application",
		9	+ "product_status": "active",
		10	+ "summary": "Free, GPL-licensed cross-platform econometrics program with a GUI, the hansl scripting language and estimators for time series, panels and limited dependent variables",
		11	+ "description": "gretl (Gnu Regression, Econometrics and Time-series Library) is a free, open-source econometrics package written in C and released under the GNU GPL version 3. It offers a multilingual graphical interface, a command-line program and a script editor for hansl, its built-in language with matrix operations and user-written function packages. Estimators span least squares, maximum likelihood, GMM and regularized regression (LASSO, ridge); time-series tools include ARIMA, GARCH-type models, VARs and VECMs, unit-root and cointegration tests and the Kalman filter; limited dependent variable models (logit, probit, tobit, count, duration) and panel estimators including dynamic panel GMM are provided.\n\ngretl exports models to LaTeX, plots with gnuplot and exchanges data with R, Octave, Python, Julia, Ox and Stata. Installers exist for Windows and macOS, with Linux packages in Debian and Fedora. Releases are frequent (2026d dated October 2026). It is popular in teaching and among researchers who want a free Stata- or EViews-like environment, though its ecosystem of contributed packages is smaller than R's.",
		12	+ "capabilities": ["GUI plus command-line and hansl scripting", "OLS, ML, GMM and regularized estimators", "ARIMA, GARCH, VAR/VECM, cointegration and Kalman filter", "Panel estimators including dynamic panel GMM", "Logit, probit, tobit, count and duration models", "LaTeX model export and gnuplot graphics", "Data exchange with R, Octave, Python, Julia, Stata"],
		13	+ "workflows": ["Introductory econometrics course with a free GUI tool", "Quick time-series diagnostics before scripting in R"],
		14	+ "advantages": ["Free and open source under GPL-3.0", "Cross-platform with native installers", "Scriptable and GUI-driven at once"],
		15	+ "limitations": ["Smaller package ecosystem than R or Python", "SourceForge hosting blocks some automated clients", "Fewer modern causal-inference methods than specialized packages"],
		16	+ "prerequisites": ["Windows, macOS or Linux"],
		17	+ "audiences": ["Econometrics instructors and students", "Researchers wanting a free GUI econometrics package"],
		18	+ "alternatives": ["stata", "eviews", "r", "statsmodels"],
		19	+ "comparison_notes": "gretl is the free counterpart to Stata and EViews with a similar point-and-click plus script model; R and statsmodels offer far larger ecosystems but no comparable GUI.",
		20	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }, { "slug": "math-stats-tools" }],
		21	+ "tags": ["econometrics", "time-series", "open-source", "macos"],
		22	+ "use_cases": ["estimate-causal-effects"],
		23	+ "operating_systems": ["windows", "macos", "linux"],
		24	+ "execution_modes": ["local"],
		25	+ "interfaces": ["desktop", "cli"],
		26	+ "deployment_models": ["desktop"],
		27	+ "integrations": ["R", "GNU Octave", "Python", "Julia", "Stata", "gnuplot", "LaTeX"],
		28	+ "data_formats": ["gretl data (.gdt)", "CSV", "Excel", "Stata .dta", "EViews", "SPSS"],
		29	+ "languages": ["hansl", "C"],
		30	+ "source_model": "open-source",
		31	+ "license_spdx": "GPL-3.0-only",
		32	+ "pricing_model": ["free", "open-source"],
		33	+ "self_hostable": true,
		34	+ "sources": [
		35	+ { "url": "https://gretl.sourceforge.net/", "type": "official_site", "title": "gretl", "supports": ["name", "summary", "capabilities", "license_spdx", "operating_systems"], "checked_at": "2026-11-02", "note": "Homepage states GPL v3 licensing and lists features and current release" },
		36	+ { "url": "https://sourceforge.net/projects/gretl/", "type": "repository", "title": "gretl on SourceForge", "supports": ["repo_url", "source_model"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "SourceForge pages return 403 to command-line clients; content was verified through a rendering fetcher. license_spdx is taken from the homepage statement rather than a separate LICENSE file.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-E"
		46	+}

added content/tools/groq.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "groq",
		3	+ "name": "GroqCloud",
		4	+ "aliases": ["Groq", "Groq API", "console.groq.com"],
		5	+ "vendor": { "name": "Groq, Inc.", "slug": "groq-inc", "website": "https://groq.com" },
		6	+ "homepage_url": "https://groq.com/",
		7	+ "docs_url": "https://console.groq.com/docs/overview",
		8	+ "repo_url": "https://github.com/groq/groq-python",
		9	+ "product_type": "api-service",
		10	+ "product_status": "active",
		11	+ "summary": "Low-latency hosted inference API for open-weight models on Groq's LPU hardware, OpenAI-compatible, with speech-to-text, text-to-speech, tool use and batch tiers",
		12	+ "description": "GroqCloud is Groq's hosted inference service, built around the company's LPU accelerators and positioned on response speed. The API is OpenAI-compatible, so existing clients work by changing the base URL and key, and official Python and JavaScript libraries are provided. The console documents text generation with open-weight models (the docs reference OpenAI's gpt-oss family among others), speech-to-text, text-to-speech, vision and OCR, reasoning controls, structured outputs, prompt caching and tool use including built-in tools, remote MCP servers and local tool calling. Service tiers separate performance, flex and batch processing, and projects and spend limits handle organization controls.\n\nGroq does not publish a stable pricing URL at the moment of review (groq.com/pricing redirects to the homepage), so pricing is treated as usage-based without further detail. In December 2025 Nvidia entered a licensing agreement covering Groq's chip technology and hired part of its leadership, while GroqCloud continued as an independent service; secondary reporting on the aftermath varies, so the long-term roadmap deserves monitoring. GroqCloud suits latency-sensitive applications on open models; it does not host the largest proprietary models and model availability has changed over time.",
		13	+ "capabilities": ["OpenAI-compatible chat completions on open-weight models", "Speech-to-text and text-to-speech endpoints", "Vision and OCR inputs", "Structured outputs, prompt caching and reasoning controls", "Tool use with built-in tools, remote MCP and local tools", "Performance, flex and batch service tiers with spend limits"],
		14	+ "workflows": ["Point an OpenAI SDK at GroqCloud for a low-latency chat backend", "Transcribe audio files through the speech endpoint", "Run large batch jobs at the batch tier"],
		15	+ "advantages": ["Low latency on supported models", "Drop-in OpenAI compatibility", "Speech and vision in one API"],
		16	+ "limitations": ["Catalog limited to selected open-weight models", "Pricing page not stable at time of review", "Corporate transition in 2025–2026 adds uncertainty about direction"],
		17	+ "prerequisites": ["GroqCloud account and API key"],
		18	+ "audiences": ["Developers building latency-sensitive assistants", "Teams running open models without their own GPUs"],
		19	+ "alternatives": ["together-ai", "openrouter", "openai-platform", "mistral-ai"],
		20	+ "categories": [{ "slug": "model-providers", "primary": true }],
		21	+ "tags": ["llm", "api", "inference", "speech", "open-weights", "python", "typescript"],
		22	+ "use_cases": ["serve-models", "build-agents"],
		23	+ "operating_systems": ["any"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["api", "sdk", "web"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["OpenAI SDK compatibility", "LangChain", "LiteLLM", "Model Context Protocol"],
		28	+ "data_formats": ["JSON", "Audio", "Images"],
		29	+ "languages": ["Python", "JavaScript"],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["usage-based", "enterprise"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://groq.com/", "type": "official_site", "title": "Groq", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://console.groq.com/docs/overview", "type": "official_docs", "title": "GroqCloud documentation", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://github.com/groq/groq-python", "type": "repository", "title": "groq-python (Apache-2.0)", "supports": ["languages"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "groq.com/pricing redirected to the homepage during review, so no pricing_url is recorded and pricing details are unverified. Statements about the Nvidia licensing deal come from press coverage, not from a Groq page loaded during research.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-A"
		46	+}

added content/tools/h3.json +166 −0

				@@ -0,0 +1,166 @@
		1	+{
		2	+ "slug": "h3",
		3	+ "name": "H3",
		4	+ "aliases": [
		5	+ "Uber H3",
		6	+ "h3-py",
		7	+ "h3-js"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Uber Technologies (open-source project)",
		11	+ "slug": "uber",
		12	+ "website": "https://h3geo.org"
		13	+ },
		14	+ "homepage_url": "https://h3geo.org/",
		15	+ "docs_url": "https://h3geo.org/docs/",
		16	+ "repo_url": "https://github.com/uber/h3",
		17	+ "license_url": "https://github.com/uber/h3/blob/master/LICENSE",
		18	+ "product_type": "library",
		19	+ "product_status": "active",
		20	+ "summary": "Hexagonal hierarchical geospatial indexing system from Uber with a C core and bindings for Python, JavaScript, Java and SQL engines",
		21	+ "description": "H3 is an open-source geospatial indexing system created at Uber that partitions the globe into hexagonal cells at sixteen resolutions, each identified by a 64-bit integer. The C library converts coordinates to cell indexes and back, traverses parents and children across resolutions, finds neighbours and rings, fills polygons with cells and computes distances, which makes aggregation, binning and spatial joins fast and uniform compared with irregular administrative units. Official and community bindings exist for Python, JavaScript, Java, Go, Rust, R and database engines such as DuckDB, PostgreSQL (h3-pg) and BigQuery. Typical uses are density maps, ride or listing demand grids, and feature engineering for spatial models. Hexagons cannot nest exactly, so hierarchy is approximate, cell areas vary slightly across the globe, and H3 is an index rather than a geometry library, so it complements rather than replaces PostGIS or GeoPandas.",
		22	+ "capabilities": [
		23	+ "Point to cell indexing at 16 resolutions",
		24	+ "Hierarchy traversal (parent, children, compact/uncompact)",
		25	+ "Neighbour rings and grid distance",
		26	+ "Polygon fill and cell boundary geometry",
		27	+ "Bindings for Python, JavaScript, Java, Go, Rust, R and SQL engines",
		28	+ "Compact 64-bit identifiers suited to joins and aggregation"
		29	+ ],
		30	+ "workflows": [
		31	+ "Bin property listings into resolution-9 hexagons and map median prices",
		32	+ "Join two datasets on H3 cells instead of running polygon intersections"
		33	+ ],
		34	+ "advantages": [
		35	+ "Apache-2.0 and dependency-free C core",
		36	+ "Uniform neighbourhoods simplify spatial statistics",
		37	+ "Wide language and database support"
		38	+ ],
		39	+ "limitations": [
		40	+ "Approximate hierarchy; children do not nest exactly",
		41	+ "Cell area and shape distortion vary by location",
		42	+ "Not a geometry or projection library"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "A binding for your language or database"
		46	+ ],
		47	+ "audiences": [
		48	+ "Data scientists doing spatial aggregation",
		49	+ "Geospatial engineers building grids and indexes"
		50	+ ],
		51	+ "alternatives": [
		52	+ "postgis",
		53	+ "geopandas",
		54	+ "duckdb"
		55	+ ],
		56	+ "comparison_notes": "PostGIS and GeoPandas operate on exact geometries and are needed for precise overlays; H3 trades exactness for fast, uniform aggregation and joins, and both DuckDB and PostGIS have H3 extensions so the approaches combine.",
		57	+ "categories": [
		58	+ {
		59	+ "slug": "gis-mapping",
		60	+ "primary": true
		61	+ }
		62	+ ],
		63	+ "tags": [
		64	+ "gis",
		65	+ "spatial-index",
		66	+ "hexagons",
		67	+ "open-source",
		68	+ "python",
		69	+ "c"
		70	+ ],
		71	+ "use_cases": [
		72	+ "map-geodata",
		73	+ "aggregate-spatial-data"
		74	+ ],
		75	+ "operating_systems": [
		76	+ "macos",
		77	+ "linux",
		78	+ "windows"
		79	+ ],
		80	+ "execution_modes": [
		81	+ "local"
		82	+ ],
		83	+ "interfaces": [
		84	+ "library"
		85	+ ],
		86	+ "deployment_models": [
		87	+ "embedded"
		88	+ ],
		89	+ "integrations": [
		90	+ "DuckDB",
		91	+ "PostgreSQL (h3-pg)",
		92	+ "BigQuery",
		93	+ "Spark",
		94	+ "GeoPandas",
		95	+ "deck.gl"
		96	+ ],
		97	+ "data_formats": [
		98	+ "64-bit cell indexes",
		99	+ "GeoJSON boundaries"
		100	+ ],
		101	+ "languages": [
		102	+ "C",
		103	+ "Python",
		104	+ "JavaScript",
		105	+ "Java",
		106	+ "Go",
		107	+ "Rust",
		108	+ "R"
		109	+ ],
		110	+ "source_model": "open-source",
		111	+ "license_spdx": "Apache-2.0",
		112	+ "pricing_model": [
		113	+ "open-source",
		114	+ "free"
		115	+ ],
		116	+ "self_hostable": true,
		117	+ "sources": [
		118	+ {
		119	+ "url": "https://h3geo.org/",
		120	+ "type": "official_site",
		121	+ "supports": [
		122	+ "name",
		123	+ "summary"
		124	+ ],
		125	+ "checked_at": "2026-11-02",
		126	+ "title": "H3: Hexagonal hierarchical geospatial indexing system"
		127	+ },
		128	+ {
		129	+ "url": "https://h3geo.org/docs/",
		130	+ "type": "official_docs",
		131	+ "supports": [
		132	+ "capabilities",
		133	+ "limitations"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "H3 documentation"
		137	+ },
		138	+ {
		139	+ "url": "https://github.com/uber/h3/blob/master/LICENSE",
		140	+ "type": "license_page",
		141	+ "supports": [
		142	+ "license_spdx",
		143	+ "source_model"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "LICENSE (Apache 2.0)"
		147	+ },
		148	+ {
		149	+ "url": "https://h3geo.org/docs/community/bindings/",
		150	+ "type": "official_docs",
		151	+ "supports": [
		152	+ "languages",
		153	+ "integrations"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "H3 bindings"
		157	+ }
		158	+ ],
		159	+ "confidence": "high",
		160	+ "depth": "standard",
		161	+ "featured": false,
		162	+ "discovery_method": "editorial-research",
		163	+ "editorial_status": "reviewed",
		164	+ "visibility": "public",
		165	+ "author": "batch-F"
		166	+}

added content/tools/hammerspoon.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "hammerspoon",
		3	+ "name": "Hammerspoon",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Hammerspoon contributors", "slug": "hammerspoon", "website": "https://www.hammerspoon.org/" },
		6	+ "homepage_url": "https://www.hammerspoon.org/",
		7	+ "docs_url": "https://www.hammerspoon.org/docs/",
		8	+ "repo_url": "https://github.com/Hammerspoon/hammerspoon",
		9	+ "license_url": "https://github.com/Hammerspoon/hammerspoon/blob/master/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source macOS automation app that exposes system APIs to a Lua configuration file for hotkeys, window management and event-driven scripts",
		13	+ "description": "Hammerspoon is an open-source macOS automation tool (MIT license) that acts as a bridge between the operating system and an embedded Lua interpreter. It does nothing until the user writes `~/.hammerspoon/init.lua`; from there, Lua code can bind global hotkeys, move and resize windows, react to application, screen, Wi-Fi, USB, battery or filesystem events, draw on-screen overlays, control audio devices, read the clipboard, run shell commands and AppleScript, and expose a menu-bar item or a local URL/IPC endpoint.\n\nThe extension modules are documented API by API, and reusable plug-ins called Spoons package common setups such as window grids or caffeine toggles. Because everything is text, configurations are easy to version-control and share, which appeals to developers who want programmable, keyboard-driven control of their Mac without a GUI macro editor.\n\nIt is distributed as a signed app from GitHub releases (also via Homebrew cask), requires Accessibility permission, and supports recent macOS versions on Intel and Apple Silicon. Limits: Lua is a prerequisite, there is no visual editor, and features depending on private or changing macOS APIs can break between OS releases.",
		14	+ "capabilities": ["Global hotkeys and key remapping in Lua", "Window placement and multi-display management", "Watchers for application, screen, Wi-Fi, USB, battery and path events", "Menu-bar items, alerts and on-screen drawing", "Shell, AppleScript and URL-scheme integration", "Reusable Spoon plug-ins"],
		15	+ "workflows": ["Tile windows with keyboard shortcuts", "Switch audio output or Wi-Fi settings when a display connects", "Trigger scripts from a URL scheme or another app"],
		16	+ "advantages": ["Fully scriptable and version-controllable configuration", "Free and MIT-licensed", "Broad coverage of macOS APIs in one tool"],
		17	+ "limitations": ["Requires writing Lua", "No graphical macro editor", "Some modules depend on APIs that change across macOS releases"],
		18	+ "prerequisites": ["Recent macOS release", "Accessibility permission for the app"],
		19	+ "audiences": ["Developers and power users who prefer code to GUIs", "Keyboard-centric window-management enthusiasts"],
		20	+ "alternatives": ["keyboard-maestro", "raycast", "alfred", "karabiner-elements", "applescript"],
		21	+ "categories": [{ "slug": "macos-automation", "primary": true }],
		22	+ "tags": ["macos", "automation", "lua", "open-source", "window-management", "hotkeys"],
		23	+ "use_cases": ["automate-desktop-tasks"],
		24	+ "operating_systems": ["macos"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["desktop", "library"],
		27	+ "deployment_models": ["desktop"],
		28	+ "integrations": ["AppleScript", "Shell", "URL schemes", "Homebrew cask"],
		29	+ "data_formats": ["Lua scripts"],
		30	+ "languages": ["Lua", "Objective-C"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.hammerspoon.org/", "type": "official_site", "title": "Hammerspoon", "supports": ["name", "summary", "capabilities", "prerequisites"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.hammerspoon.org/docs/", "type": "official_docs", "title": "Hammerspoon API docs", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/Hammerspoon/hammerspoon/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/hashicorp-vault.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "hashicorp-vault",
		3	+ "name": "HashiCorp Vault",
		4	+ "aliases": ["Vault", "IBM HashiCorp Vault", "HCP Vault"],
		5	+ "vendor": { "name": "HashiCorp (an IBM company)", "slug": "hashicorp", "website": "https://www.hashicorp.com" },
		6	+ "homepage_url": "https://developer.hashicorp.com/vault",
		7	+ "docs_url": "https://developer.hashicorp.com/vault/docs",
		8	+ "repo_url": "https://github.com/hashicorp/vault",
		9	+ "pricing_url": "https://www.hashicorp.com/en/pricing",
		10	+ "license_url": "https://github.com/hashicorp/vault/blob/main/LICENSE",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Identity-based secrets manager providing encrypted key-value storage, dynamic database and cloud credentials, PKI and encryption-as-a-service, under the Business Source License",
		14	+ "description": "Vault is a secrets management server from HashiCorp, now part of IBM. It stores static secrets in an encrypted key-value engine, but its distinguishing features are dynamic secrets, short-lived database, cloud and SSH credentials generated on demand and revoked automatically, a PKI engine that acts as an internal certificate authority, and a transit engine that encrypts and signs data for applications without exposing keys. Clients authenticate through methods tied to their platform identity (Kubernetes service accounts, cloud IAM roles, OIDC, AppRole, tokens), and policies written in HCL define which paths each identity may read or write.\n\nVault runs as a single binary with integrated Raft storage and is operated self-hosted (Community or Enterprise editions) or as HCP Vault Dedicated in HashiCorp's cloud. Since August 2023 the source has been released under the Business Source License 1.1, which permits most use but restricts offering Vault as a competing managed service; the OpenBao project forked the last MPL-licensed version under the Linux Foundation.\n\nVault is heavier to operate than file-based tools like SOPS or a hosted secrets service: unsealing, storage, high availability and policy design all need attention, which is why small teams often reach for lighter options until they need dynamic credentials or an internal CA.",
		15	+ "capabilities": ["Encrypted key-value secrets engine with versioning", "Dynamic credentials for databases, cloud providers and SSH", "PKI engine issuing internal certificates", "Transit engine for encryption, signing and key rotation as a service", "Authentication via Kubernetes, cloud IAM, OIDC, AppRole and tokens with HCL policies", "Audit logging, namespaces and replication (Enterprise)"],
		16	+ "workflows": ["Issue short-lived database credentials to applications", "Run an internal certificate authority for service-to-service TLS", "Centralize application secrets with per-service policies"],
		17	+ "advantages": ["Dynamic, automatically revoked credentials", "Broad set of auth methods and secrets engines", "Mature HA deployment model with integrated storage"],
		18	+ "limitations": ["Business Source License is not an OSI-approved open-source license", "Operational complexity (unseal, HA, policy management)", "Enterprise features such as replication and namespaces are paid"],
		19	+ "prerequisites": ["Linux, macOS or Windows host or Kubernetes cluster", "Storage backend (integrated Raft recommended)"],
		20	+ "audiences": ["Platform and security engineers", "Organizations needing dynamic credentials or an internal CA"],
		21	+ "alternatives": ["infisical", "sops", "1password", "bitwarden"],
		22	+ "comparison_notes": "Infisical covers static and dynamic secrets with a web UI and an MIT-licensed core, positioning itself as a lighter alternative. SOPS encrypts secrets inside versioned files with cloud KMS keys and has no server at all. 1Password and Bitwarden are end-user password managers whose CLIs handle simple machine-secret cases but offer no dynamic credentials or PKI.",
		23	+ "categories": [{ "slug": "secrets-management", "primary": true }],
		24	+ "tags": ["secrets", "pki", "encryption", "self-hosted", "source-available", "cli", "api"],
		25	+ "use_cases": ["store-secrets", "issue-certificates"],
		26	+ "operating_systems": ["linux", "macos", "windows"],
		27	+ "execution_modes": ["self-hosted", "cloud"],
		28	+ "interfaces": ["cli", "api", "web"],
		29	+ "deployment_models": ["on-premises", "managed-cloud"],
		30	+ "integrations": ["Kubernetes", "AWS IAM", "Azure", "Google Cloud", "PostgreSQL", "Terraform", "Consul"],
		31	+ "data_formats": ["JSON", "HCL policies"],
		32	+ "languages": ["Go"],
		33	+ "source_model": "source-available",
		34	+ "license_spdx": "BUSL-1.1",
		35	+ "pricing_model": ["free", "paid", "enterprise", "usage-based"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://developer.hashicorp.com/vault", "type": "official_site", "title": "Vault | HashiCorp Developer", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://developer.hashicorp.com/vault/docs", "type": "official_docs", "title": "Vault Documentation", "supports": ["capabilities", "workflows", "interfaces"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/hashicorp/vault/blob/main/LICENSE", "type": "license_page", "title": "Vault LICENSE (Business Source License 1.1)", "supports": ["license_spdx", "source_model", "vendor"], "checked_at": "2026-11-02", "note": "Licensor named as International Business Machines Corporation (IBM)." },
		42	+ { "url": "https://www.hashicorp.com/en/pricing", "type": "pricing_page", "title": "HashiCorp Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "General HashiCorp pricing page; the www.hashicorp.com product pages rate-limited automated requests on 2026-11-02." }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "uncertainty_note": "The Vault-specific pricing tiers could not be read from the pricing page; pricing_model reflects the documented Community/Enterprise/HCP structure.",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "standard",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": false,
		51	+ "author": "batch-B2"
		52	+}

added content/tools/hetzner.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "hetzner",
		3	+ "name": "Hetzner",
		4	+ "aliases": ["Hetzner Online", "Hetzner Cloud"],
		5	+ "vendor": { "name": "Hetzner Online GmbH", "slug": "hetzner-online", "website": "https://www.hetzner.com" },
		6	+ "homepage_url": "https://www.hetzner.com/",
		7	+ "docs_url": "https://docs.hetzner.com/",
		8	+ "pricing_url": "https://www.hetzner.com/cloud/",
		9	+ "product_type": "service",
		10	+ "product_status": "active",
		11	+ "summary": "German hosting provider known for cost-focused cloud servers, dedicated root servers, Storage Boxes and object storage in Germany, Finland, the United States and Singapore",
		12	+ "description": "Hetzner Online is a German hosting company offering Hetzner Cloud virtual servers with an API, CLI and Terraform provider, dedicated servers sold through a server auction and standard lines, Storage Boxes for backup via SFTP, Samba, WebDAV and BorgBackup, S3-compatible object storage, load balancers, private networks and managed web hosting. According to its site, cloud servers are available in Germany, Finland, the United States and Singapore, with the company's own data-center parks in Falkenstein, Nuremberg and Helsinki.\n\nIt is popular with developers, self-hosters and small companies for the ratio of resources to price and for straightforward tooling: the Cloud console and `hcloud` CLI create servers in seconds, and Storage Boxes are a common Borg or restic target.\n\nThe managed-service catalogue is deliberately small (no managed databases or serverless), regions are few, and account verification can be strict for new customers.",
		13	+ "capabilities": ["Cloud servers (x86 and Arm) with API, CLI and Terraform provider", "Dedicated servers including an auction marketplace", "Storage Boxes reachable over SFTP, Samba, WebDAV and Borg", "S3-compatible object storage", "Load balancers, floating IPs, private networks and firewalls", "Data centers in Germany, Finland, the United States and Singapore"],
		14	+ "workflows": ["Provision a VPS as a public gateway with Terraform and cloud-init", "Back up servers and laptops to a Storage Box with Borg", "Rent an auctioned dedicated server for compute"],
		15	+ "advantages": ["Favorable price-to-performance for servers", "Simple API and tooling", "European data centers under German operation"],
		16	+ "limitations": ["Few managed services beyond compute, storage and networking", "Limited number of regions", "Strict customer verification for new accounts"],
		17	+ "prerequisites": ["Hetzner account"],
		18	+ "audiences": ["Developers and self-hosters", "Small teams running their own infrastructure"],
		19	+ "alternatives": ["ovhcloud", "aws", "fly-io"],
		20	+ "comparison_notes": "OVHcloud offers a broader dedicated-server range and Canadian locations; AWS provides a vast managed catalogue at higher cost and complexity; Fly.io abstracts servers away entirely with a platform-as-a-service model.",
		21	+ "categories": [{ "slug": "cloud-hosting", "primary": true }],
		22	+ "tags": ["cloud", "vps", "bare-metal", "object-storage", "europe", "api"],
		23	+ "use_cases": ["host-web-apps", "provision-infrastructure", "back-up-data"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api", "cli"],
		27	+ "deployment_models": ["managed-cloud"],
		28	+ "integrations": ["Terraform", "BorgBackup", "restic", "rclone", "Kubernetes (cloud controller manager)"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["paid", "usage-based"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://www.hetzner.com/", "type": "official_site", "title": "Hetzner", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.hetzner.com/cloud/", "type": "pricing_page", "title": "Hetzner Cloud", "supports": ["capabilities", "pricing_model", "description"], "checked_at": "2026-11-02", "note": "Page states cloud servers are available in Germany, Finland, Singapore and the USA with data-center parks in Falkenstein, Nuremberg and Helsinki." },
		38	+ { "url": "https://docs.hetzner.com/", "type": "official_docs", "title": "Hetzner Docs", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/homebrew.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "homebrew",
		3	+ "name": "Homebrew",
		4	+ "aliases": ["brew", "Linuxbrew"],
		5	+ "vendor": { "name": "Homebrew maintainers", "slug": "homebrew", "website": "https://brew.sh/" },
		6	+ "homepage_url": "https://brew.sh/",
		7	+ "docs_url": "https://docs.brew.sh/",
		8	+ "repo_url": "https://github.com/Homebrew/brew",
		9	+ "license_url": "https://github.com/Homebrew/brew/blob/master/LICENSE.txt",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Community-maintained package manager for macOS and Linux that installs command-line tools (formulae) and desktop apps (casks) from the terminal",
		13	+ "description": "Homebrew is the de facto package manager for macOS, maintained by a volunteer community and licensed under the BSD 2-Clause license. A single `brew install` command fetches and installs command-line tools and libraries (formulae) or graphical applications and fonts (casks), keeping each package in its own directory under the Homebrew prefix and symlinking it into place. Pre-built binaries (bottles) make most installs fast, and the same tool runs on Linux and Windows Subsystem for Linux as Homebrew on Linux.\n\nBeyond installation, `brew` upgrades and removes packages, manages background services for daemons such as PostgreSQL or Redis (`brew services`), and reproduces a machine's software set from a Brewfile with `brew bundle`. Third-party repositories (taps) let organizations or projects publish their own formulae, and a macOS `.pkg` installer supports unattended deployment through mobile-device-management tools. On Apple Silicon the default prefix is `/opt/homebrew`; the project supports the current and recent macOS releases on Apple-supported hardware.\n\nFor developers and researchers on Macs, Homebrew is usually the first thing installed on a new machine: it provides Python, Node.js, Git, ffmpeg, LaTeX distributions, database servers and hundreds of other tools, and it is the standard way fleet scripts provision a cluster of Macs consistently.\n\nLimits: it manages one version of a formula at a time (version pinning exists but is coarse), upgrades can replace shared libraries under running software, packages for older macOS releases lose binary support and must be compiled locally, and it is not a sandboxed or reproducible environment manager in the way Nix or containers are.",
		14	+ "capabilities": ["Install, upgrade and uninstall command-line formulae", "Install desktop applications and fonts as casks", "Pre-built binary bottles for supported platforms", "Background service management with brew services", "Machine setup from a Brewfile with brew bundle", "Third-party taps for custom package repositories", "Unattended installation via a macOS .pkg for MDM fleets"],
		15	+ "workflows": ["Provision a new Mac with a Brewfile", "Install Python, Node.js, Git and ffmpeg for a development environment", "Run PostgreSQL or Redis as a user-level service", "Publish an internal tool through a private tap"],
		16	+ "advantages": ["Huge catalog covering most open-source developer tools", "No sudo required after installation", "Works on macOS, Linux and WSL with one command set", "Active community and frequent updates"],
		17	+ "limitations": ["Single active version per formula; weak version pinning", "Upgrades may break software linked against replaced libraries", "Older macOS releases lose pre-built bottles", "Not a reproducible or sandboxed environment manager"],
		18	+ "prerequisites": ["macOS on supported hardware or a Linux distribution", "Xcode Command Line Tools on macOS"],
		19	+ "audiences": ["Developers and researchers on Macs", "Administrators provisioning Mac fleets", "Linux users wanting newer tools without root"],
		20	+ "alternatives": ["uv", "docker", "podman"],
		21	+ "comparison_notes": "Homebrew is a system-wide package manager; uv is the comparable tool only for Python itself and Python-based CLI tools, which it installs in isolated environments with exact version pinning. Docker and Podman solve a different problem, running software in containers rather than installing it on the host, and are often used alongside Homebrew when reproducibility or isolation matters more than convenience. On macOS, MacPorts is the long-standing alternative source-based package manager.",
		22	+ "categories": [{ "slug": "macos-utilities", "primary": true }, { "slug": "programming-languages" }],
		23	+ "tags": ["macos", "linux", "cli", "package-manager", "open-source", "apple-silicon"],
		24	+ "use_cases": ["set-up-development-environment", "provision-machines", "host-web-apps"],
		25	+ "operating_systems": ["macos", "linux"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["Git", "GitHub (taps and bottles)", "launchd (brew services)", "MDM tools via .pkg installer"],
		30	+ "data_formats": ["Brewfile", "Ruby formula and cask definitions"],
		31	+ "languages": ["Ruby", "Shell"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "BSD-2-Clause",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://brew.sh/", "type": "official_site", "title": "Homebrew — The Missing Package Manager for macOS (or Linux)", "supports": ["name", "summary", "operating_systems", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.brew.sh/", "type": "official_docs", "title": "Homebrew Documentation", "supports": ["capabilities", "workflows", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/Homebrew/brew", "type": "repository", "title": "Homebrew/brew", "supports": ["repo_url", "product_status"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/Homebrew/brew/blob/master/LICENSE.txt", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": true,
		48	+ "author": "batch-C"
		49	+}

added content/tools/hono.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "hono",
		3	+ "name": "Hono",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Hono project (Yusuke Wada and contributors)", "slug": "hono-project", "website": "https://hono.dev" },
		6	+ "homepage_url": "https://hono.dev/",
		7	+ "docs_url": "https://hono.dev/docs",
		8	+ "repo_url": "https://github.com/honojs/hono",
		9	+ "license_url": "https://github.com/honojs/hono/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Small TypeScript web framework built on Web Standard APIs that runs unchanged on Cloudflare Workers, Deno, Bun, Node.js and other JavaScript runtimes",
		13	+ "description": "Hono is a web framework for TypeScript and JavaScript created by Yusuke Wada and maintained by an open-source community under the MIT license. It is written against the Web Standard Request and Response objects rather than a runtime-specific HTTP API, so the same application code runs on Cloudflare Workers, Deno, Bun, Node.js, Vercel, AWS Lambda and other environments through thin adapters. The core has no dependencies and is small enough for edge deployments.\n\nThe framework provides routing with typed path parameters, middleware (CORS, JWT, logging, caching and more), JSX for server-rendered HTML, and a typed RPC client that derives request and response types from route definitions. Validation integrates with Zod and other schema libraries, and the OpenAPI extension generates specifications from validated routes. Hono is a common choice for APIs that must be portable across runtimes or deployed at the edge. Its trade-offs are a smaller ecosystem than Express, fewer batteries than full-stack frameworks, and reliance on third-party packages for databases and sessions.",
		14	+ "capabilities": ["Routing on Web Standard Request and Response", "Adapters for Cloudflare Workers, Deno, Bun, Node.js and serverless platforms", "Built-in middleware collection", "Typed RPC client derived from routes", "JSX server-side rendering", "Validation and OpenAPI generation through extensions"],
		15	+ "workflows": ["Deploy the same API to an edge platform and a Node.js server", "Share request and response types between server and client", "Serve a small HTML application with JSX and no front-end framework"],
		16	+ "advantages": ["Runtime portability", "Minimal footprint with zero dependencies", "Strong TypeScript typing end to end"],
		17	+ "limitations": ["Smaller ecosystem than Express", "No bundled database or session layer", "Edge runtimes impose their own constraints on Node APIs"],
		18	+ "prerequisites": ["A JavaScript runtime (Node.js, Bun, Deno) or edge platform"],
		19	+ "audiences": ["TypeScript API developers", "Teams deploying to edge platforms", "Developers wanting a light alternative to Express"],
		20	+ "alternatives": ["express", "fastapi", "nextjs"],
		21	+ "comparison_notes": "Express is the Node.js incumbent with the largest middleware ecosystem but is tied to Node's HTTP model and lacks built-in typing. FastAPI is the Python equivalent, deriving validation and OpenAPI from type hints as Hono does from schemas. Next.js provides route handlers inside a React application rather than a standalone API framework.",
		22	+ "categories": [{ "slug": "web-frameworks", "primary": true }, { "slug": "api-development" }],
		23	+ "tags": ["typescript", "api", "edge", "open-source", "web-standards"],
		24	+ "use_cases": ["host-web-apps"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["cloud", "self-hosted", "local"],
		27	+ "interfaces": ["library", "api"],
		28	+ "deployment_models": ["managed-cloud", "on-premises"],
		29	+ "integrations": ["Cloudflare Workers", "Deno", "Bun", "Node.js", "Zod", "OpenAPI", "Vercel", "AWS Lambda"],
		30	+ "data_formats": ["JSON", "HTML (JSX)", "OpenAPI"],
		31	+ "languages": ["TypeScript", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://hono.dev/", "type": "official_site", "title": "Hono - Web framework built on Web Standards", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://hono.dev/docs", "type": "official_docs", "title": "Hono documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/honojs/hono/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/hoppscotch.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "hoppscotch",
		3	+ "name": "Hoppscotch",
		4	+ "aliases": ["Postwoman (former name)"],
		5	+ "vendor": { "name": "Hoppscotch", "slug": "hoppscotch-inc", "website": "https://hoppscotch.io" },
		6	+ "homepage_url": "https://hoppscotch.io/",
		7	+ "docs_url": "https://docs.hoppscotch.io/",
		8	+ "repo_url": "https://github.com/hoppscotch/hoppscotch",
		9	+ "license_url": "https://github.com/hoppscotch/hoppscotch/blob/main/LICENSE",
		10	+ "pricing_url": "https://hoppscotch.com/pricing",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source API client that runs in the browser or as a desktop app, supports REST, GraphQL and realtime protocols, and can be self-hosted for teams",
		14	+ "description": "Hoppscotch is an open-source API development client, originally released as Postwoman, maintained by the company of the same name under the MIT license. It started as a web application that sends requests directly from the browser and now also ships desktop builds and a command-line runner. Supported protocols include REST, GraphQL, WebSocket, Server-Sent Events, Socket.IO and MQTT, with collections, environments, pre-request scripts and tests.\n\nThe hosted edition at hoppscotch.io is free to use, and the whole stack (web app, backend and admin dashboard) can be self-hosted with Docker for teams who want workspaces on their own infrastructure; paid cloud and enterprise plans add team and governance features. Because browser requests are subject to CORS, Hoppscotch provides a proxy and browser extension to reach APIs that do not allow cross-origin calls, which is a recurring point of friction compared with desktop-only clients. Collections are stored in the application's own format with import from Postman, Insomnia and OpenAPI.",
		15	+ "capabilities": ["REST, GraphQL, WebSocket, SSE, Socket.IO and MQTT requests", "Collections, environments and scripts", "Browser, desktop and CLI clients", "Self-hostable backend with team workspaces", "Import from Postman, Insomnia and OpenAPI", "Proxy and extension to bypass CORS restrictions"],
		16	+ "workflows": ["Test an API from any browser without installing software", "Self-host a team workspace on a private server", "Run collections in CI with the CLI"],
		17	+ "advantages": ["Open source with a self-hosted option", "Zero-install browser client", "Wide protocol coverage"],
		18	+ "limitations": ["Browser client is constrained by CORS without a proxy or extension", "Team features depend on the backend or paid plans", "Own collection format"],
		19	+ "prerequisites": ["A browser, or Docker for self-hosting"],
		20	+ "audiences": ["Developers wanting a lightweight API client", "Teams self-hosting their tooling"],
		21	+ "alternatives": ["postman", "bruno"],
		22	+ "comparison_notes": "Postman is the proprietary, cloud-centric reference with the widest feature set; Bruno is an offline desktop client that stores collections as plain files in Git. Hoppscotch sits between them: open source like Bruno, collaborative like Postman, and unique in offering a self-hosted web deployment.",
		23	+ "categories": [{ "slug": "api-development", "primary": true }],
		24	+ "tags": ["api", "testing", "http", "open-source", "self-hosted"],
		25	+ "use_cases": ["test-apis"],
		26	+ "operating_systems": ["web", "macos", "windows", "linux"],
		27	+ "execution_modes": ["cloud", "self-hosted", "local"],
		28	+ "interfaces": ["web", "desktop", "cli", "browser-extension"],
		29	+ "deployment_models": ["saas", "on-premises", "desktop"],
		30	+ "integrations": ["Docker", "OpenAPI", "Postman import", "GitHub Actions"],
		31	+ "data_formats": ["JSON", "OpenAPI", "GraphQL"],
		32	+ "languages": ["TypeScript", "Vue.js"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "freemium", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://hoppscotch.io/", "type": "official_site", "title": "Hoppscotch", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.hoppscotch.io/", "type": "official_docs", "title": "Hoppscotch Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/hoppscotch/hoppscotch/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://hoppscotch.com/pricing", "type": "pricing_page", "title": "Hoppscotch pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B1"
		51	+}

added content/tools/hubspot.json +148 −0

				@@ -0,0 +1,148 @@
		1	+{
		2	+ "slug": "hubspot",
		3	+ "name": "HubSpot",
		4	+ "aliases": [
		5	+ "HubSpot CRM"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "HubSpot, Inc.",
		9	+ "slug": "hubspot",
		10	+ "website": "https://www.hubspot.com"
		11	+ },
		12	+ "homepage_url": "https://www.hubspot.com/",
		13	+ "docs_url": "https://developers.hubspot.com/",
		14	+ "pricing_url": "https://www.hubspot.com/pricing/crm",
		15	+ "privacy_url": "https://legal.hubspot.com/privacy-policy",
		16	+ "security_url": "https://trust.hubspot.com/",
		17	+ "product_type": "platform",
		18	+ "product_status": "active",
		19	+ "summary": "Cloud CRM platform with marketing, sales, service, content and operations hubs on a shared contact database, with a REST API and app marketplace",
		20	+ "description": "HubSpot is a cloud customer-relationship-management platform from HubSpot, Inc. built around a shared database of contacts, companies, deals and tickets. Modular hubs add marketing automation and email, sales pipelines and sequences, customer service ticketing, a content management system and data-operations tooling, and the free CRM tier lets small teams start before buying hubs at Starter, Professional or Enterprise levels. Developers use REST APIs, webhooks and the app marketplace to sync objects with other systems, and custom objects and workflows extend the data model. It suits small and mid-sized organisations that want sales and marketing in one hosted system. Costs rise quickly with contacts and hubs, data lives only in HubSpot's cloud, and complex reporting or deep customisation can require higher tiers or third-party tools.",
		21	+ "capabilities": [
		22	+ "Contact, company, deal and ticket records with timelines",
		23	+ "Marketing email, forms, landing pages and automation workflows",
		24	+ "Sales pipelines, sequences and meeting scheduling",
		25	+ "Service ticketing and knowledge base",
		26	+ "REST API, webhooks and app marketplace",
		27	+ "Reporting dashboards and custom objects"
		28	+ ],
		29	+ "workflows": [
		30	+ "Capture leads from a website form and route them through a sales pipeline",
		31	+ "Sync CRM objects to a warehouse through the API"
		32	+ ],
		33	+ "advantages": [
		34	+ "Free entry tier and unified data model",
		35	+ "Large integration ecosystem"
		36	+ ],
		37	+ "limitations": [
		38	+ "Pricing scales with contacts and hubs",
		39	+ "SaaS only; no self-hosting",
		40	+ "Advanced features gated to higher tiers"
		41	+ ],
		42	+ "prerequisites": [
		43	+ "HubSpot account"
		44	+ ],
		45	+ "audiences": [
		46	+ "Sales and marketing teams in SMEs",
		47	+ "Founders managing early customer pipelines"
		48	+ ],
		49	+ "alternatives": [
		50	+ "odoo",
		51	+ "notion",
		52	+ "google-workspace"
		53	+ ],
		54	+ "comparison_notes": "Odoo is an open-source ERP whose CRM module is one of many business apps and can be self-hosted; HubSpot is a hosted CRM and marketing suite. Notion and Google Workspace are sometimes used as lightweight CRMs but lack pipeline automation.",
		55	+ "categories": [
		56	+ {
		57	+ "slug": "crm-business",
		58	+ "primary": true
		59	+ }
		60	+ ],
		61	+ "tags": [
		62	+ "crm",
		63	+ "marketing-automation",
		64	+ "saas",
		65	+ "api"
		66	+ ],
		67	+ "use_cases": [
		68	+ "manage-customer-relationships",
		69	+ "collaborate"
		70	+ ],
		71	+ "operating_systems": [
		72	+ "web",
		73	+ "ios",
		74	+ "android"
		75	+ ],
		76	+ "execution_modes": [
		77	+ "cloud"
		78	+ ],
		79	+ "interfaces": [
		80	+ "web",
		81	+ "mobile",
		82	+ "api"
		83	+ ],
		84	+ "deployment_models": [
		85	+ "saas"
		86	+ ],
		87	+ "integrations": [
		88	+ "Gmail",
		89	+ "Outlook",
		90	+ "Slack",
		91	+ "Zoom",
		92	+ "Salesforce",
		93	+ "Zapier",
		94	+ "Stripe"
		95	+ ],
		96	+ "data_formats": [
		97	+ "JSON",
		98	+ "CSV import/export"
		99	+ ],
		100	+ "languages": [],
		101	+ "source_model": "proprietary",
		102	+ "pricing_model": [
		103	+ "freemium",
		104	+ "paid",
		105	+ "enterprise"
		106	+ ],
		107	+ "pricing_checked_at": "2026-11-02",
		108	+ "self_hostable": false,
		109	+ "sources": [
		110	+ {
		111	+ "url": "https://www.hubspot.com/",
		112	+ "type": "official_site",
		113	+ "supports": [
		114	+ "name",
		115	+ "summary"
		116	+ ],
		117	+ "checked_at": "2026-11-02",
		118	+ "title": "HubSpot"
		119	+ },
		120	+ {
		121	+ "url": "https://developers.hubspot.com/",
		122	+ "type": "official_docs",
		123	+ "supports": [
		124	+ "capabilities",
		125	+ "interfaces"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "HubSpot Developers"
		129	+ },
		130	+ {
		131	+ "url": "https://www.hubspot.com/pricing/crm",
		132	+ "type": "pricing_page",
		133	+ "supports": [
		134	+ "pricing_model",
		135	+ "limitations"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "HubSpot pricing"
		139	+ }
		140	+ ],
		141	+ "confidence": "high",
		142	+ "depth": "standard",
		143	+ "featured": false,
		144	+ "discovery_method": "editorial-research",
		145	+ "editorial_status": "reviewed",
		146	+ "visibility": "public",
		147	+ "author": "batch-F"
		148	+}

added content/tools/hugging-face-hub.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "hugging-face-hub",
		3	+ "name": "Hugging Face Hub",
		4	+ "aliases": ["Hugging Face", "HF Hub", "huggingface.co", "huggingface_hub"],
		5	+ "vendor": { "name": "Hugging Face", "slug": "hugging-face", "website": "https://huggingface.co" },
		6	+ "homepage_url": "https://huggingface.co/",
		7	+ "docs_url": "https://huggingface.co/docs/hub/index",
		8	+ "repo_url": "https://github.com/huggingface/huggingface_hub",
		9	+ "pricing_url": "https://huggingface.co/pricing",
		10	+ "privacy_url": "https://huggingface.co/privacy",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Hosting platform for open models, datasets and Spaces demo apps built on git repositories and Xet storage, with Inference Providers, Endpoints, Jobs and an open-source Python client and CLI",
		14	+ "description": "The Hugging Face Hub is the central hosting platform for open machine-learning artifacts. It stores models, datasets and Spaces (hosted demo apps) as git repositories with versioning, branches, pull requests and discussions, backed by the Xet storage layer for large files, and it adds mutable Storage Buckets for checkpoints and logs. Model and dataset cards carry metadata on tasks, languages, licenses and evaluation results; gated repositories require users to accept terms; organizations group members with roles. The Hub currently lists more than two million models.\n\nCompute attaches directly to the repositories: Inference Providers route requests to third-party hosts through one serverless API, Inference Endpoints deploy a model on dedicated autoscaling infrastructure across AWS, Azure and Google Cloud, Spaces run Gradio, Streamlit, static or Docker apps with optional GPUs (including ZeroGPU), and Jobs run training or data tasks on rented hardware. An MCP server, CLI agent helpers and skills make the Hub reachable from coding agents. The `huggingface_hub` Python library and `hf` CLI (Apache-2.0) handle downloads, uploads, repository management and inference calls, and more than a dozen libraries such as Transformers, Diffusers, Sentence Transformers and llama.cpp integrate with it.\n\nPlans run from a free account through PRO, Team and Enterprise, adding storage, inference credits, SSO, audit logs, storage regions and resource groups. For a research group the Hub is both the source of weights and a place to publish artifacts with DOIs. Limits: the platform itself is proprietary SaaS, storage quotas apply to free accounts, the model catalog contains many unverified community uploads, and model licenses vary per repository and must be checked individually.",
		15	+ "capabilities": ["Git-based repositories for models, datasets and Spaces with Xet large-file storage", "Model and dataset cards, gated and private repos, organizations and resource groups", "Inference Providers serverless API and dedicated Inference Endpoints", "Spaces for Gradio, Streamlit, static and Docker apps with GPU options", "Jobs for training and data processing on rented hardware", "Storage Buckets for mutable artifacts", "`huggingface_hub` Python client and `hf` CLI, MCP server for agents", "DOIs, Papers pages and collections for research dissemination"],
		16	+ "workflows": ["Download a model checkpoint with the client library and run it locally", "Publish a fine-tuned model with a model card and license", "Host an interactive demo as a Gradio Space", "Stream a large dataset without downloading it fully"],
		17	+ "advantages": ["De facto distribution point for open-weight models", "Deep integration with Transformers and other libraries", "Free public hosting with versioning", "Enterprise controls available for private use"],
		18	+ "limitations": ["Platform is proprietary SaaS; only the client library is open source", "Storage and rate limits on free accounts", "Quality and licensing of community uploads vary", "Inference Providers depend on third-party hosts"],
		19	+ "prerequisites": ["Hugging Face account and access token for private or gated content", "Python for the client library"],
		20	+ "audiences": ["ML researchers publishing and consuming models", "Developers deploying demos and endpoints", "Data teams sharing datasets"],
		21	+ "alternatives": ["github", "ollama", "transformers", "together-ai"],
		22	+ "comparison_notes": "GitHub hosts code but is not designed for multi-gigabyte weights or dataset streaming; the Hub's Xet storage and model cards fill that gap. Ollama's library is a narrower catalog of GGUF conversions optimized for its runtime. Transformers is the library most Hub models target rather than a competitor. Hosted inference marketplaces overlap with Inference Providers but do not offer the repository and collaboration layer.",
		23	+ "categories": [{ "slug": "model-training", "primary": true }, { "slug": "model-providers", "label": "Inference Providers and Endpoints" }, { "slug": "reproducibility", "label": "DOIs and versioned research artifacts" }],
		24	+ "tags": ["open-source", "llm", "embeddings", "python", "cli", "api", "datasets", "model-hosting"],
		25	+ "use_cases": ["run-local-models", "fine-tune-models", "serve-models", "collaborate"],
		26	+ "operating_systems": ["web", "any"],
		27	+ "execution_modes": ["cloud", "local"],
		28	+ "interfaces": ["web", "api", "cli", "library", "mcp-server"],
		29	+ "deployment_models": ["saas"],
		30	+ "integrations": ["Transformers", "Diffusers", "Sentence Transformers", "llama.cpp", "vLLM", "Gradio", "Streamlit", "Docker", "AWS", "Azure", "Google Cloud"],
		31	+ "data_formats": ["Safetensors", "GGUF", "Parquet", "JSONL", "Arrow", "ONNX"],
		32	+ "languages": ["Python", "JavaScript"],
		33	+ "source_model": "mixed",
		34	+ "pricing_model": ["freemium", "paid", "enterprise", "usage-based"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": false,
		37	+ "sources": [
		38	+ { "url": "https://huggingface.co/", "type": "official_site", "title": "Hugging Face", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://huggingface.co/docs/hub/index", "type": "official_docs", "title": "Hugging Face Hub documentation", "supports": ["capabilities", "interfaces", "integrations", "data_formats"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://huggingface.co/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "PRO, Team, Enterprise plans plus Spaces hardware and Inference Endpoints" },
		41	+ { "url": "https://github.com/huggingface/huggingface_hub", "type": "repository", "title": "huggingface_hub client library (Apache-2.0)", "supports": ["languages", "source_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "uncertainty_note": "No license_spdx is set because the platform is proprietary; only the huggingface_hub client library is Apache-2.0.",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-A"
		51	+}

added content/tools/imf-data.json +143 −0

				@@ -0,0 +1,143 @@
		1	+{
		2	+ "slug": "imf-data",
		3	+ "name": "IMF Data",
		4	+ "aliases": [
		5	+ "data.imf.org",
		6	+ "IMF Data Portal",
		7	+ "World Economic Outlook database"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "International Monetary Fund",
		11	+ "slug": "imf",
		12	+ "website": "https://www.imf.org"
		13	+ },
		14	+ "homepage_url": "https://data.imf.org/en",
		15	+ "docs_url": "https://data.imf.org/en/Resource-Pages/IMF-API",
		16	+ "product_type": "data-service",
		17	+ "product_status": "active",
		18	+ "summary": "The IMF's statistical portal for World Economic Outlook, fiscal, balance-of-payments, reserves and price datasets with SDMX 2.1 and 3.0 APIs",
		19	+ "description": "IMF Data is the International Monetary Fund's portal for its macroeconomic and financial statistics, relaunched in 2025 on a new platform. It hosts the World Economic Outlook database with historical series and medium-term projections, the Fiscal Monitor, consumer price indices, reserve composition (COFER), balance of payments, international liquidity (formerly part of International Financial Statistics) and many thematic datasets. Data can be explored and downloaded in the browser and retrieved programmatically through SDMX 2.1 and SDMX 3.0 web services, with guidance for MATLAB, Python, R and Stata and a Swagger explorer. It is a core source for cross-country macro-financial research and policy work. Access is free; the IMF's copyright and usage terms govern redistribution. The platform migration changed dataset identifiers and endpoints relative to the former JSON RESTful service, so older client code and tutorials may need updating, and some datasets are released on a lag or require sign-in for the API explorer.",
		20	+ "capabilities": [
		21	+ "World Economic Outlook series and projections",
		22	+ "Fiscal, price, reserves and external-sector datasets",
		23	+ "SDMX 2.1 and 3.0 APIs for structured retrieval",
		24	+ "Browser-based exploration, charting and downloads",
		25	+ "Access guides for Python, R, MATLAB and Stata"
		26	+ ],
		27	+ "workflows": [
		28	+ "Download WEO projections for a set of countries into pandas via SDMX",
		29	+ "Compare fiscal balances across economies for a policy brief"
		30	+ ],
		31	+ "advantages": [
		32	+ "Authoritative multilateral source",
		33	+ "Standards-based SDMX access",
		34	+ "Projections alongside history"
		35	+ ],
		36	+ "limitations": [
		37	+ "Platform migration changed endpoints and identifiers",
		38	+ "API explorer requires an account",
		39	+ "Some series published with lags or revisions"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "SDMX-capable client or HTTP library"
		43	+ ],
		44	+ "audiences": [
		45	+ "Macro and international economists",
		46	+ "Central bank and ministry analysts",
		47	+ "Graduate students"
		48	+ ],
		49	+ "alternatives": [
		50	+ "world-bank-data",
		51	+ "eurostat",
		52	+ "statistics-canada",
		53	+ "fred"
		54	+ ],
		55	+ "comparison_notes": "World Bank Open Data emphasises development indicators with a simple REST API; IMF Data is stronger on fiscal, external and projection data via SDMX. Eurostat is EU-specific, and FRED redistributes selected IMF series with a simpler API.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "open-public-data",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "market-data-apis",
		63	+ "label": "Macro-financial statistics"
		64	+ }
		65	+ ],
		66	+ "tags": [
		67	+ "open-data",
		68	+ "macroeconomics",
		69	+ "sdmx",
		70	+ "api",
		71	+ "econometrics"
		72	+ ],
		73	+ "use_cases": [
		74	+ "access-public-statistics",
		75	+ "write-papers"
		76	+ ],
		77	+ "operating_systems": [
		78	+ "web",
		79	+ "any"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "cloud"
		83	+ ],
		84	+ "interfaces": [
		85	+ "web",
		86	+ "api"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "saas"
		90	+ ],
		91	+ "integrations": [
		92	+ "Python",
		93	+ "R",
		94	+ "Stata",
		95	+ "MATLAB",
		96	+ "SDMX clients"
		97	+ ],
		98	+ "data_formats": [
		99	+ "SDMX-ML",
		100	+ "SDMX-JSON",
		101	+ "CSV",
		102	+ "Excel"
		103	+ ],
		104	+ "languages": [],
		105	+ "source_model": "proprietary",
		106	+ "pricing_model": [
		107	+ "free"
		108	+ ],
		109	+ "self_hostable": false,
		110	+ "sources": [
		111	+ {
		112	+ "url": "https://data.imf.org/en",
		113	+ "type": "official_site",
		114	+ "supports": [
		115	+ "name",
		116	+ "summary",
		117	+ "capabilities"
		118	+ ],
		119	+ "checked_at": "2026-11-02",
		120	+ "title": "IMF Data",
		121	+ "note": "Site returns 403 to plain HTTP clients; verified through a rendering fetcher"
		122	+ },
		123	+ {
		124	+ "url": "https://data.imf.org/en/Resource-Pages/IMF-API",
		125	+ "type": "official_docs",
		126	+ "supports": [
		127	+ "interfaces",
		128	+ "integrations",
		129	+ "limitations"
		130	+ ],
		131	+ "checked_at": "2026-11-02",
		132	+ "title": "IMF Data APIs (SDMX 2.1 and 3.0)"
		133	+ }
		134	+ ],
		135	+ "confidence": "medium",
		136	+ "uncertainty_note": "IMF pages block automated HTTP clients; content was verified via a rendering fetcher. The copyright and usage terms page could not be loaded today, so licensing details are not recorded.",
		137	+ "depth": "standard",
		138	+ "featured": false,
		139	+ "discovery_method": "editorial-research",
		140	+ "editorial_status": "reviewed",
		141	+ "visibility": "public",
		142	+ "author": "batch-F"
		143	+}

added content/tools/infisical.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "infisical",
		3	+ "name": "Infisical",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Infisical Inc.", "slug": "infisical-inc", "website": "https://infisical.com" },
		6	+ "homepage_url": "https://infisical.com/",
		7	+ "docs_url": "https://infisical.com/docs",
		8	+ "repo_url": "https://github.com/Infisical/infisical",
		9	+ "pricing_url": "https://infisical.com/pricing",
		10	+ "license_url": "https://github.com/Infisical/infisical/blob/main/LICENSE",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Secrets, certificate and privileged-access management platform with an MIT-licensed core, available as a hosted service or self-hosted deployment",
		14	+ "description": "Infisical is a secrets management platform from Infisical Inc. It stores application secrets per project and environment, syncs them to targets such as Kubernetes, GitHub Actions, Vercel and cloud secret stores, and injects them into local processes with a CLI (`infisical run`) or SDKs. The product has grown to include dynamic secrets, secret rotation and scanning, a certificate management (PKI) component, an SSH certificate authority and session-recorded privileged access.\n\nThe repository is licensed under MIT except for code under the ee directory, which carries an enterprise license, so the core is open source and self-hostable with Docker or Helm while advanced features are paid. A hosted cloud edition with a free tier removes the operational burden.\n\nIt is often chosen by small teams that find Vault heavy and want a web UI, environment-based organization and simple CI integration. Its enterprise features and audit controls are newer than Vault's, and self-hosting requires PostgreSQL and Redis.",
		15	+ "capabilities": ["Project and environment scoped secrets with versioning and access controls", "CLI, SDKs and agent for injecting secrets into processes and files", "Integrations syncing secrets to Kubernetes, CI systems and cloud secret stores", "Dynamic secrets and rotation", "Certificate management and SSH certificate authority", "Secret scanning for leaked credentials"],
		16	+ "workflows": ["Replace .env files across dev, staging and production", "Sync secrets to GitHub Actions and Kubernetes", "Issue short-lived SSH certificates to engineers"],
		17	+ "advantages": ["MIT-licensed core with a web UI", "Hosted free tier or self-hosted deployment", "Broad set of sync integrations"],
		18	+ "limitations": ["Enterprise features live under a separate license", "Self-hosting needs PostgreSQL and Redis", "Younger ecosystem than Vault"],
		19	+ "prerequisites": ["Infisical Cloud account or Docker/Helm host with PostgreSQL and Redis"],
		20	+ "audiences": ["Development teams managing environment secrets", "Platform teams seeking a lighter Vault alternative"],
		21	+ "alternatives": ["hashicorp-vault", "sops", "bitwarden"],
		22	+ "comparison_notes": "Vault is the more established server with deeper dynamic-credential and PKI engines but a source-available license and more operational weight. SOPS is a serverless, file-based approach. Bitwarden Secrets Manager overlaps on machine secrets for teams already using Bitwarden.",
		23	+ "categories": [{ "slug": "secrets-management", "primary": true }],
		24	+ "tags": ["secrets", "pki", "open-source", "self-hosted", "cli", "saas", "ci"],
		25	+ "use_cases": ["store-secrets", "issue-certificates"],
		26	+ "operating_systems": ["linux", "macos", "windows", "web"],
		27	+ "execution_modes": ["cloud", "self-hosted"],
		28	+ "interfaces": ["web", "cli", "api", "sdk"],
		29	+ "deployment_models": ["saas", "on-premises"],
		30	+ "integrations": ["Kubernetes", "GitHub Actions", "Vercel", "AWS Secrets Manager", "Terraform", "Docker"],
		31	+ "data_formats": ["JSON", ".env"],
		32	+ "languages": ["TypeScript", "Go"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "freemium", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://infisical.com/", "type": "official_site", "title": "Infisical", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://infisical.com/docs", "type": "official_docs", "title": "Infisical Documentation", "supports": ["capabilities", "integrations", "prerequisites"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/Infisical/infisical/blob/main/LICENSE", "type": "license_page", "title": "Infisical LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "MIT except content under ee/ directories, which is under ee/LICENSE." },
		42	+ { "url": "https://infisical.com/pricing", "type": "pricing_page", "title": "Infisical Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/instructor.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "instructor",
		3	+ "name": "Instructor",
		4	+ "aliases": ["instructor (PyPI)", "python-instructor"],
		5	+ "vendor": { "name": "Jason Liu and contributors (567 Labs)", "slug": "567-labs", "website": "https://python.useinstructor.com" },
		6	+ "homepage_url": "https://python.useinstructor.com/",
		7	+ "docs_url": "https://python.useinstructor.com/",
		8	+ "repo_url": "https://github.com/567-labs/instructor",
		9	+ "license_url": "https://github.com/567-labs/instructor/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python library for extracting validated structured data from LLM responses using Pydantic models, with automatic retries, streaming partials and support for many providers",
		13	+ "description": "Instructor is an MIT-licensed Python library for getting structured, validated output from language models. You define the desired schema as a Pydantic model, patch or wrap a provider client, and request that type; Instructor converts the schema into the provider's tool-calling or JSON mode, validates the response and automatically retries with the validation errors when the model's output does not conform. Streaming of partial objects and of lists of objects, hooks for logging and both sync and async clients round out the core. It supports more than fifteen providers including OpenAI, Anthropic, Google Gemini, Mistral, Cohere, DeepSeek, Vertex AI and local models through Ollama or llama-cpp-python, and ports exist in TypeScript, Ruby, Go, Elixir and Rust.\n\nThe library is small and composable, which makes it a frequent choice for extraction pipelines (entities from filings, fields from invoices) where a full agent framework would be excessive. Its scope is deliberately narrow: it does not orchestrate multi-step agents, and provider JSON-mode quirks occasionally require schema adjustments.",
		14	+ "capabilities": ["Pydantic-typed outputs from LLM calls", "Automatic validation-driven retries", "Streaming partial objects and iterables", "Support for 15+ providers and local models", "Hooks for logging and error handling; sync and async clients", "Ports in TypeScript, Ruby, Go, Elixir and Rust"],
		15	+ "workflows": ["Extract typed records from unstructured documents", "Classify text into an enum with validation", "Stream a list of extracted items to a UI as they arrive"],
		16	+ "advantages": ["Minimal API built on Pydantic", "Provider-agnostic", "MIT license"],
		17	+ "limitations": ["Not an orchestration framework", "Depends on provider JSON or tool-calling behavior", "Python-first; ports lag the main library"],
		18	+ "prerequisites": ["Python 3.9+ with Pydantic", "Provider API key or local model"],
		19	+ "audiences": ["Developers building extraction pipelines", "Data teams structuring text at scale"],
		20	+ "alternatives": ["pydantic-ai", "langchain", "dspy", "openai-platform"],
		21	+ "categories": [{ "slug": "agent-frameworks", "primary": true }, { "slug": "data-quality", "label": "Validated extraction from text" }],
		22	+ "tags": ["python", "open-source", "llm", "structured-outputs", "pydantic"],
		23	+ "use_cases": ["parse-sec-filings", "build-agents"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["library"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["Pydantic", "OpenAI", "Anthropic", "Google Gemini", "Mistral", "Cohere", "Ollama", "LiteLLM"],
		29	+ "data_formats": ["JSON", "JSON Schema"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://python.useinstructor.com/", "type": "official_site", "title": "Instructor documentation", "supports": ["name", "summary", "capabilities", "integrations", "license_spdx"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/567-labs/instructor", "type": "repository", "supports": ["license_spdx", "languages"], "checked_at": "2026-11-02", "note": "github.com/instructor-ai/instructor redirects here" },
		38	+ { "url": "https://github.com/567-labs/instructor/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/interactive-brokers-api.json +187 −0

				@@ -0,0 +1,187 @@
		1	+{
		2	+ "slug": "interactive-brokers-api",
		3	+ "name": "Interactive Brokers API",
		4	+ "aliases": [
		5	+ "IBKR API",
		6	+ "TWS API",
		7	+ "IB API",
		8	+ "Client Portal API",
		9	+ "IBKR Web API"
		10	+ ],
		11	+ "vendor": {
		12	+ "name": "Interactive Brokers LLC",
		13	+ "slug": "interactive-brokers",
		14	+ "website": "https://www.interactivebrokers.com"
		15	+ },
		16	+ "homepage_url": "https://www.interactivebrokers.com/campus/ibkr-api-page/",
		17	+ "docs_url": "https://www.interactivebrokers.com/campus/ibkr-api-page/trader-workstation-api/",
		18	+ "repo_url": "https://github.com/InteractiveBrokers",
		19	+ "pricing_url": "https://www.interactivebrokers.com/en/pricing/commissions-home.php",
		20	+ "product_type": "api-service",
		21	+ "product_status": "active",
		22	+ "summary": "Programmatic trading and market-data access to Interactive Brokers accounts through the TWS API, the REST-based Web API and FIX",
		23	+ "description": "The Interactive Brokers API is the family of programmatic interfaces that Interactive Brokers LLC offers to clients for trading and market data, placing it in the financial analysis and investing category. The longest-standing one is the TWS API: a socket protocol spoken by the Trader Workstation or the headless IB Gateway, with official client libraries in Python, Java, C++, C# and VB.NET. Through it an application can request real-time and historical bars, option chains, account and position data, and submit or modify orders across the broker's stock, option, futures, forex and bond markets.\n\nThe Web API (previously called Client Portal API) exposes similar functions over REST and WebSocket, either through a locally run gateway or OAuth for institutional clients, and FIX connectivity serves high-volume firms. Documentation, sample code and a Python testbed live on the IBKR Campus site, and third-party wrappers such as ib_insync-style libraries are widely used in the Python community.\n\nTypical users are systematic traders, small funds and researchers who want direct broker connectivity from their own code, as well as platforms like QuantConnect that route orders to IBKR accounts. Market data requires subscriptions attached to the account, and a paper-trading account is the usual test environment.\n\nConstraints include the need to keep TWS or IB Gateway running and authenticated, pacing limits on historical data requests, message-based asynchrony that complicates simple scripts, periodic gateway restarts, and the fact that there is no free market-data feed without an account and subscriptions.",
		24	+ "capabilities": [
		25	+ "Order placement, modification and cancellation across asset classes",
		26	+ "Real-time quotes, depth and historical bars via TWS API",
		27	+ "Account, position and P&L reporting",
		28	+ "REST and WebSocket access through the Web API",
		29	+ "FIX connectivity for institutional order flow",
		30	+ "Official client libraries in Python, Java, C++, C# and VB.NET",
		31	+ "Paper-trading accounts for testing"
		32	+ ],
		33	+ "workflows": [
		34	+ "Run IB Gateway on a server and drive it from a Python strategy",
		35	+ "Pull historical bars for research subject to pacing limits",
		36	+ "Connect QuantConnect or another platform to a live IBKR account"
		37	+ ],
		38	+ "advantages": [
		39	+ "Direct access to a global multi-asset broker",
		40	+ "Several interface styles (socket, REST, FIX)",
		41	+ "Long-established and well documented by the community"
		42	+ ],
		43	+ "limitations": [
		44	+ "TWS or IB Gateway must be running and periodically re-authenticated",
		45	+ "Historical data pacing limits",
		46	+ "Asynchronous message model has a learning curve",
		47	+ "Market data requires account subscriptions"
		48	+ ],
		49	+ "prerequisites": [
		50	+ "Interactive Brokers account (paper or live)",
		51	+ "TWS or IB Gateway for the TWS API",
		52	+ "Market data subscriptions as needed"
		53	+ ],
		54	+ "audiences": [
		55	+ "Systematic and algorithmic traders",
		56	+ "Quant developers integrating a broker",
		57	+ "Researchers needing broker-grade historical data"
		58	+ ],
		59	+ "alternatives": [
		60	+ "alpaca",
		61	+ "kraken-api",
		62	+ "quantconnect"
		63	+ ],
		64	+ "comparison_notes": "Alpaca exposes a cloud REST API with no local gateway and focuses on US equities, options and crypto; IBKR covers far more markets but requires a running gateway for the TWS API. Kraken's API is crypto-only. QuantConnect is a research platform that can route to IBKR rather than a competing broker API.",
		65	+ "categories": [
		66	+ {
		67	+ "slug": "financial-analysis-investing",
		68	+ "primary": true
		69	+ },
		70	+ {
		71	+ "slug": "market-data-apis",
		72	+ "label": "Broker-sourced real-time and historical data"
		73	+ }
		74	+ ],
		75	+ "tags": [
		76	+ "brokerage",
		77	+ "trading-api",
		78	+ "market-data",
		79	+ "api",
		80	+ "python",
		81	+ "fix"
		82	+ ],
		83	+ "use_cases": [
		84	+ "automate-trading",
		85	+ "access-market-data"
		86	+ ],
		87	+ "operating_systems": [
		88	+ "macos",
		89	+ "windows",
		90	+ "linux"
		91	+ ],
		92	+ "execution_modes": [
		93	+ "cloud",
		94	+ "local"
		95	+ ],
		96	+ "interfaces": [
		97	+ "api",
		98	+ "sdk"
		99	+ ],
		100	+ "deployment_models": [
		101	+ "saas",
		102	+ "hybrid"
		103	+ ],
		104	+ "integrations": [
		105	+ "Trader Workstation",
		106	+ "IB Gateway",
		107	+ "QuantConnect",
		108	+ "Excel (RTD/DDE)"
		109	+ ],
		110	+ "data_formats": [
		111	+ "Proprietary socket messages",
		112	+ "JSON (Web API)",
		113	+ "FIX"
		114	+ ],
		115	+ "languages": [
		116	+ "Python",
		117	+ "Java",
		118	+ "C++",
		119	+ "C#",
		120	+ "VB.NET"
		121	+ ],
		122	+ "source_model": "proprietary",
		123	+ "pricing_model": [
		124	+ "usage-based",
		125	+ "paid"
		126	+ ],
		127	+ "pricing_checked_at": "2026-11-02",
		128	+ "self_hostable": false,
		129	+ "sources": [
		130	+ {
		131	+ "url": "https://www.interactivebrokers.com/campus/ibkr-api-page/",
		132	+ "type": "official_site",
		133	+ "supports": [
		134	+ "name",
		135	+ "summary",
		136	+ "capabilities",
		137	+ "languages"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "IBKR Campus — API"
		141	+ },
		142	+ {
		143	+ "url": "https://www.interactivebrokers.com/campus/ibkr-api-page/trader-workstation-api/",
		144	+ "type": "official_docs",
		145	+ "supports": [
		146	+ "capabilities",
		147	+ "prerequisites"
		148	+ ],
		149	+ "checked_at": "2026-11-02",
		150	+ "title": "TWS API documentation"
		151	+ },
		152	+ {
		153	+ "url": "https://www.interactivebrokers.com/campus/ibkr-api-page/webapi-doc/",
		154	+ "type": "official_docs",
		155	+ "supports": [
		156	+ "interfaces"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "Web API documentation"
		160	+ },
		161	+ {
		162	+ "url": "https://www.interactivebrokers.com/en/pricing/commissions-home.php",
		163	+ "type": "pricing_page",
		164	+ "supports": [
		165	+ "pricing_model"
		166	+ ],
		167	+ "checked_at": "2026-11-02",
		168	+ "title": "IBKR commissions"
		169	+ },
		170	+ {
		171	+ "url": "https://github.com/InteractiveBrokers",
		172	+ "type": "repository",
		173	+ "supports": [
		174	+ "languages"
		175	+ ],
		176	+ "checked_at": "2026-11-02",
		177	+ "title": "InteractiveBrokers on GitHub"
		178	+ }
		179	+ ],
		180	+ "confidence": "high",
		181	+ "depth": "deep",
		182	+ "featured": false,
		183	+ "discovery_method": "editorial-research",
		184	+ "editorial_status": "reviewed",
		185	+ "visibility": "public",
		186	+ "author": "batch-F"
		187	+}

added content/tools/iterm2.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "iterm2",
		3	+ "name": "iTerm2",
		4	+ "aliases": ["iTerm"],
		5	+ "vendor": { "name": "George Nachman (iTerm2 project)", "slug": "iterm2-project", "website": "https://iterm2.com" },
		6	+ "homepage_url": "https://iterm2.com/",
		7	+ "docs_url": "https://iterm2.com/documentation.html",
		8	+ "repo_url": "https://gitlab.com/gnachman/iterm2",
		9	+ "license_url": "https://gitlab.com/gnachman/iterm2/-/blob/master/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Feature-rich terminal emulator for macOS with split panes, profiles, triggers, search, tmux integration and a Python scripting API",
		13	+ "description": "iTerm2 is a terminal emulator for macOS maintained by George Nachman and released under the GPL version 2. It replaces the built-in Terminal.app with a far larger feature set: split panes and tabs, per-profile settings, hotkey windows, regex-based triggers that react to output, instant replay of past screen contents, inline image display, password management, and shell integration that tracks the current directory and command status.\n\nIts tmux integration (`tmux -CC`) maps tmux windows and panes onto native iTerm2 tabs and splits so remote sessions behave like local ones, which is convenient when working across many SSH hosts. A Python API allows scripting of windows, sessions and profiles. iTerm2 is macOS-only and has accumulated a large preferences surface that can feel heavy compared with newer emulators such as Ghostty; GPU rendering is available but the application is not as fast on very high-throughput output as some competitors. Downloads are free, with optional donations.",
		14	+ "capabilities": ["Split panes, tabs and hotkey windows", "Profiles with per-host settings and badges", "Triggers that act on matching output", "Native tmux integration (tmux -CC)", "Shell integration and command history", "Python scripting API", "Inline images and search with regex"],
		15	+ "workflows": ["Attach to a tmux session on a remote node with native tabs", "Define per-server profiles that switch colors and settings on SSH", "Automate window layouts with the Python API"],
		16	+ "advantages": ["Very broad feature set for macOS", "Mature and long maintained", "Free software under the GPL"],
		17	+ "limitations": ["macOS only", "Large settings surface", "Not the fastest renderer for heavy output"],
		18	+ "prerequisites": ["macOS; download from iterm2.com or Homebrew cask"],
		19	+ "audiences": ["macOS developers and system administrators", "Users managing many SSH sessions"],
		20	+ "alternatives": ["ghostty", "warp"],
		21	+ "comparison_notes": "Ghostty offers a leaner, GPU-rendered native terminal with fewer features but simpler configuration. Warp adds AI and block-based output as a commercial product. iTerm2 remains the most configurable of the three and the only one with native tmux control mode.",
		22	+ "categories": [{ "slug": "terminals-shells", "primary": true }],
		23	+ "tags": ["terminal", "macos", "open-source"],
		24	+ "use_cases": ["edit-code-remotely"],
		25	+ "operating_systems": ["macos"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["desktop"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["tmux", "zsh", "bash", "fish", "Python API"],
		30	+ "data_formats": ["plist preferences", "JSON profiles"],
		31	+ "languages": ["Objective-C", "Swift", "Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "GPL-2.0-only",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": null,
		36	+ "sources": [
		37	+ { "url": "https://iterm2.com/", "type": "official_site", "title": "iTerm2 - macOS Terminal Replacement", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://iterm2.com/documentation.html", "type": "official_docs", "title": "iTerm2 Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://gitlab.com/gnachman/iterm2/-/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/jabref.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "jabref",
		3	+ "name": "JabRef",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "JabRef e.V. and contributors", "slug": "jabref", "website": "https://www.jabref.org" },
		6	+ "homepage_url": "https://www.jabref.org/",
		7	+ "docs_url": "https://docs.jabref.org/",
		8	+ "repo_url": "https://github.com/JabRef/jabref",
		9	+ "license_url": "https://github.com/JabRef/jabref/blob/main/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source, BibTeX/biblatex-native reference manager for LaTeX users with online fetchers, groups, file linking and editor integration",
		13	+ "description": "JabRef is a free, open-source desktop reference manager whose native storage is a plain BibTeX or biblatex file, which makes it a natural fit for LaTeX authors and for version-controlled projects. It fetches metadata by DOI, ISBN, arXiv ID or PubMed ID, searches online catalogs such as Crossref, Google Scholar and arXiv, imports more than a dozen formats, extracts metadata from PDFs, and offers a browser extension for one-click imports.\n\nOrganization features include hierarchical groups, advanced search, duplicate detection, customizable citation keys, rule-based renaming and filing of attached PDFs, and quality checks against online catalogs. Citation keys can be pushed to editors such as TeXstudio, Emacs, Vim and LyX, and plugins insert citations in LibreOffice and Word; teams can share a library through an SQL database. JabRef is written in Java and runs on Windows, macOS and Linux under the MIT license, maintained by volunteers organized in JabRef e.V.\n\nIt has no hosted sync service of its own, its interface is denser than consumer tools, and workflows outside BibTeX are less polished than in Zotero or Mendeley.",
		14	+ "capabilities": ["Native BibTeX and biblatex library files", "Metadata fetchers by DOI, ISBN, arXiv and PubMed IDs", "Online catalog search and import from 15+ formats", "Hierarchical groups, search and duplicate detection", "Push citation keys to LaTeX editors; Word and LibreOffice plugins", "Rule-based file renaming and linking", "Shared libraries via SQL database"],
		15	+ "workflows": ["Maintaining the .bib file of a thesis under git", "Cleaning and deduplicating an inherited bibliography"],
		16	+ "advantages": ["Plain-text library works with version control", "MIT-licensed and cross-platform", "No account required"],
		17	+ "limitations": ["No built-in cloud sync service", "Interface oriented to BibTeX users", "Requires a Java runtime (bundled in installers)"],
		18	+ "prerequisites": ["Windows, macOS or Linux desktop"],
		19	+ "audiences": ["LaTeX authors", "Researchers who want plain-text bibliographies"],
		20	+ "alternatives": ["zotero", "mendeley", "biblatex", "paperpile"],
		21	+ "comparison_notes": "Zotero offers richer web capture and sync but needs Better BibTeX to produce comparable .bib files; JabRef edits the .bib file directly. biblatex is the LaTeX package that consumes these files rather than a manager.",
		22	+ "categories": [{ "slug": "citation-management", "primary": true }, { "slug": "latex-typesetting" }],
		23	+ "tags": ["bibliography", "latex", "open-source", "macos", "browser-extension"],
		24	+ "use_cases": ["manage-references", "typeset-documents", "write-papers"],
		25	+ "operating_systems": ["macos", "windows", "linux"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["desktop", "browser-extension"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["TeXstudio", "Emacs", "Vim", "LyX", "LibreOffice", "Microsoft Word", "Crossref", "arXiv", "PubMed"],
		30	+ "data_formats": ["BibTeX", "BibLaTeX", "RIS", "EndNote", "CSL JSON", "PDF"],
		31	+ "languages": ["Java"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.jabref.org/", "type": "official_site", "title": "JabRef — Reference manager", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.jabref.org/", "type": "official_docs", "title": "JabRef Bibliography Management", "supports": ["capabilities", "integrations"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/JabRef/jabref/blob/main/LICENSE", "type": "license_page", "title": "JabRef/jabref LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/jax.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "jax",
		3	+ "name": "JAX",
		4	+ "aliases": ["jax-ml/jax", "google/jax"],
		5	+ "vendor": { "name": "Google (jax-ml)", "slug": "google", "website": "https://docs.jax.dev" },
		6	+ "homepage_url": "https://docs.jax.dev/en/latest/",
		7	+ "docs_url": "https://docs.jax.dev/en/latest/",
		8	+ "repo_url": "https://github.com/jax-ml/jax",
		9	+ "license_url": "https://github.com/jax-ml/jax/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python library for NumPy-style array computing with composable transformations (jit, grad, vmap, shard_map) compiled through XLA to CPU, GPU and TPU",
		13	+ "description": "JAX is an Apache-2.0 Python library from Google for high-performance numerical computing and machine learning research. It exposes a NumPy-compatible API and a set of composable function transformations: `jax.jit` compiles functions through XLA, `jax.grad` differentiates them, `jax.vmap` vectorizes over a batch dimension and `shard_map` expresses per-device programs for multi-device execution. The same code runs on CPU, GPU and TPU backends, which is why JAX underlies much of Google's large-scale training and a growing number of academic codebases. The repository moved from google/jax to jax-ml/jax.\n\nJAX itself is deliberately minimal; neural-network layers come from Flax, Equinox or Keras, optimizers from Optax and checkpointing from Orbax. Its functional style (pure functions, explicit random keys, immutable arrays) rewards careful program design and makes transformations predictable, but it is a different mental model from PyTorch's eager, object-oriented approach. Practical limits include longer compile times for large programs, a smaller ecosystem of pretrained models than PyTorch, and GPU support that depends on CUDA builds while Apple Silicon acceleration is experimental.",
		14	+ "capabilities": ["NumPy-compatible array API", "Composable jit, grad, vmap and shard_map transformations", "XLA compilation for CPU, GPU and TPU", "Multi-device and multi-host parallelism", "Ecosystem: Flax, Equinox, Optax, Orbax"],
		15	+ "workflows": ["Write a differentiable simulation and vectorize it over parameters", "Train a Flax model on TPUs with shard_map", "Port a NumPy algorithm to GPU with minimal changes"],
		16	+ "advantages": ["Clean functional transformations", "First-class TPU support", "Apache-2.0 license"],
		17	+ "limitations": ["Compile latency for large programs", "Smaller pretrained-model ecosystem than PyTorch", "Apple Silicon GPU support is experimental"],
		18	+ "prerequisites": ["Python 3.10+; CUDA for NVIDIA GPUs or TPU access"],
		19	+ "audiences": ["ML and scientific-computing researchers", "Teams training on TPUs"],
		20	+ "alternatives": ["pytorch", "numpy", "mlx"],
		21	+ "categories": [{ "slug": "model-training", "primary": true }, { "slug": "math-stats-tools", "label": "Differentiable numerical computing" }],
		22	+ "tags": ["open-source", "python", "deep-learning", "autodiff", "tpu"],
		23	+ "use_cases": ["fine-tune-models"],
		24	+ "operating_systems": ["linux", "macos", "windows"],
		25	+ "execution_modes": ["local", "self-hosted", "cloud"],
		26	+ "interfaces": ["library"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["Flax", "Optax", "Orbax", "Equinox", "Keras", "XLA", "NumPy"],
		29	+ "data_formats": ["NumPy arrays", "Orbax checkpoints"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://docs.jax.dev/en/latest/", "type": "official_site", "title": "JAX documentation", "supports": ["name", "summary", "capabilities", "integrations"], "checked_at": "2026-11-02", "note": "jax.readthedocs.io redirects here" },
		37	+ { "url": "https://github.com/jax-ml/jax", "type": "repository", "supports": ["license_spdx", "languages"], "checked_at": "2026-11-02", "note": "github.com/google/jax redirects here" },
		38	+ { "url": "https://github.com/jax-ml/jax/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/jest.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "jest",
		3	+ "name": "Jest",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "OpenJS Foundation (Jest project, originally Meta)", "slug": "openjs-foundation", "website": "https://openjsf.org" },
		6	+ "homepage_url": "https://jestjs.io/",
		7	+ "docs_url": "https://jestjs.io/docs/getting-started",
		8	+ "repo_url": "https://github.com/jestjs/jest",
		9	+ "license_url": "https://github.com/jestjs/jest/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "JavaScript testing framework created at Meta with built-in assertions, mocking, snapshot testing and parallel test execution",
		13	+ "description": "Jest is a testing framework for JavaScript originally developed at Facebook (Meta) and transferred to the OpenJS Foundation in 2022. It bundles everything a test suite needs in one package: a test runner that parallelizes across worker processes, an assertion library, module mocking and timers, snapshot testing for serialized output, code coverage and a watch mode that reruns tests related to changed files.\n\nFor years Jest has been the default runner in React projects and many Node.js services, and its API shaped later tools, including Vitest and Bun's test runner. Transformation of TypeScript or JSX goes through its own transform pipeline (Babel, ts-jest or SWC), and the jsdom environment simulates a browser for component tests. The main friction today is ECMAScript modules: Jest's ESM support is still flagged experimental, and configuring transforms for modern ESM-only dependencies takes effort, which is a frequent reason teams move to Vitest. The project is released under the MIT license.",
		14	+ "capabilities": ["Parallel test runner with worker processes", "Built-in assertions and module mocking", "Snapshot testing", "Code coverage reporting", "Watch mode scoped to changed files", "jsdom environment for DOM tests"],
		15	+ "workflows": ["Unit-test React components with jsdom and Testing Library", "Snapshot-test serializers or UI output", "Run a Node.js service's test suite in CI with coverage thresholds"],
		16	+ "advantages": ["Batteries-included, little configuration for CommonJS projects", "Very large installed base and documentation", "MIT license under foundation governance"],
		17	+ "limitations": ["ESM support remains experimental", "Transform configuration needed for TypeScript and modern dependencies", "Slower startup than Vite-based runners in some projects"],
		18	+ "prerequisites": ["Node.js and a package manager"],
		19	+ "audiences": ["React and Node.js developers", "Teams maintaining existing Jest suites"],
		20	+ "alternatives": ["vitest", "bun"],
		21	+ "comparison_notes": "Vitest offers a nearly identical API on top of Vite's transform pipeline, which removes most ESM and TypeScript configuration; Bun's test runner is also Jest-compatible but requires the Bun runtime. Jest remains the safest choice for projects already invested in its ecosystem of reporters and presets.",
		22	+ "categories": [{ "slug": "testing-qa", "primary": true }],
		23	+ "tags": ["testing", "javascript", "typescript", "open-source", "cli"],
		24	+ "use_cases": [],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["React", "Babel", "ts-jest", "jsdom", "GitHub Actions", "VS Code"],
		30	+ "data_formats": ["JavaScript", "TypeScript", "Snapshot files", "JUnit XML"],
		31	+ "languages": ["TypeScript", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://jestjs.io/", "type": "official_site", "title": "Jest · Delightful JavaScript Testing", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://jestjs.io/docs/getting-started", "type": "official_docs", "title": "Jest Getting Started", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/jestjs/jest/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/jina-reader.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "jina-reader",
		3	+ "name": "Jina Reader",
		4	+ "aliases": ["r.jina.ai", "s.jina.ai", "Reader API"],
		5	+ "vendor": { "name": "Jina AI", "slug": "jina-ai", "website": "https://jina.ai/" },
		6	+ "homepage_url": "https://jina.ai/reader/",
		7	+ "docs_url": "https://jina.ai/reader/",
		8	+ "repo_url": "https://github.com/jina-ai/reader",
		9	+ "license_url": "https://github.com/jina-ai/reader/blob/main/LICENSE",
		10	+ "product_type": "api-service",
		11	+ "product_status": "active",
		12	+ "summary": "Prefix-style API from Jina AI that converts any public URL into LLM-ready Markdown (r.jina.ai) or returns web search results with content (s.jina.ai), with open-source server code",
		13	+ "description": "Jina Reader is a hosted service from Jina AI with a deliberately minimal interface: prepend `https://r.jina.ai/` to a URL and the response is the page rendered in a headless browser and converted to clean Markdown; prepend `https://s.jina.ai/` to a query and the service returns the top web results with their content in the same format. Headers select output shape (Markdown, JSON, HTML text), fetch engine (direct HTTP or browser rendering), CSS selectors to target or remove, image handling including generated captions, cookies, proxies and cache behavior, and a JSON-schema or instruction header can produce structured extraction using Jina's ReaderLM models.\n\nBasic use needs no key; an API key raises rate limits and switches to token-based metering with a free allowance and purchasable tokens, making the pricing model freemium and usage-based. The server code is published under Apache 2.0, although the ReaderLM models carry a non-commercial license and the hosted service depends on Jina's infrastructure.\n\nIt is a popular building block for agents that need to read a page and for quick corpus construction. Limits: public URLs only, no anti-bot bypass or interactive login, short response caching, and latency of a few seconds when browser rendering is used.",
		14	+ "capabilities": ["URL-to-Markdown conversion with headless rendering", "Web search returning page content", "Selector-based targeting and removal", "Image captioning and structured JSON extraction options", "Keyless basic access with token-metered keys", "Open-source server code"],
		15	+ "workflows": ["Let an agent read a page by prefixing the URL", "Build a small corpus from a list of articles", "Extract fields from pages with a JSON schema header"],
		16	+ "advantages": ["Near-zero integration effort", "Free for light use", "Server code is open source"],
		17	+ "limitations": ["No anti-bot bypass or authenticated browsing", "Public URLs only", "Model components are non-commercial licensed", "Browser rendering adds latency"],
		18	+ "prerequisites": ["None for basic use; API key for higher limits"],
		19	+ "audiences": ["Agent and RAG developers", "Researchers collecting article text"],
		20	+ "alternatives": ["firecrawl", "tavily", "exa"],
		21	+ "categories": [{ "slug": "data-collection-crawling", "primary": true }, { "slug": "search-apis" }],
		22	+ "tags": ["api", "llm", "rag", "markdown", "web-search", "open-source"],
		23	+ "use_cases": ["crawl-websites", "search-the-web-programmatically", "build-agents"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud", "self-hosted"],
		26	+ "interfaces": ["api", "web"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["LangChain", "LlamaIndex", "Any HTTP client"],
		29	+ "data_formats": ["Markdown", "JSON", "HTML", "Plain text"],
		30	+ "languages": ["TypeScript"],
		31	+ "source_model": "mixed",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["freemium", "usage-based"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "pricing_url": "https://jina.ai/reader/",
		36	+ "self_hostable": true,
		37	+ "sources": [
		38	+ { "url": "https://jina.ai/reader/", "type": "official_site", "title": "Reader API – Jina AI", "supports": ["name", "summary", "capabilities", "pricing_model", "limitations"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/jina-ai/reader", "type": "repository", "title": "jina-ai/reader", "supports": ["source_model", "self_hostable", "languages"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/jina-ai/reader/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx"], "checked_at": "2026-11-02", "note": "Server code Apache-2.0; ReaderLM models are CC-BY-NC per the product page" }
		41	+ ],
		42	+ "confidence": "medium",
		43	+ "uncertainty_note": "Pricing details live on the product page and API dashboard rather than a dedicated pricing page; self-hosting is possible from the repository but is not documented as a supported path by Jina.",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-C"
		50	+}

added content/tools/julia.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "julia",
		3	+ "name": "Julia",
		4	+ "aliases": ["JuliaLang"],
		5	+ "vendor": { "name": "The Julia Project", "slug": "julia-project", "website": "https://julialang.org" },
		6	+ "homepage_url": "https://julialang.org/",
		7	+ "docs_url": "https://docs.julialang.org/en/v1/",
		8	+ "repo_url": "https://github.com/JuliaLang/julia",
		9	+ "license_url": "https://github.com/JuliaLang/julia/blob/master/LICENSE.md",
		10	+ "product_type": "language",
		11	+ "product_status": "active",
		12	+ "summary": "Dynamically typed, JIT-compiled language for numerical and scientific computing that aims to combine high-level syntax with compiled-code speed",
		13	+ "description": "Julia is an open-source programming language designed for numerical and scientific computing, developed by the Julia Project with a community governance model and an MIT license. It is dynamically typed but compiles to native code through LLVM at run time, and its multiple-dispatch design lets generic numerical code specialize on concrete types without manual rewriting.\n\nThe built-in package manager, Pkg, resolves environments from `Project.toml` and `Manifest.toml` files, which supports reproducible research setups. Strong areas include differential equations, optimization, probabilistic programming and high-performance array code, and it interoperates with Python, R and C libraries. Julia is usually used from the REPL, Jupyter or VS Code. Its main caveats are compile latency on first use of a function in a session, a smaller package ecosystem than Python or R, and fewer mature options for web services and general application development.",
		14	+ "capabilities": ["Just-in-time compilation to native code via LLVM", "Multiple dispatch for generic numerical code", "Built-in package manager with reproducible environments", "Interoperability with Python, R and C", "Distributed and multi-threaded computing in the standard library"],
		15	+ "workflows": ["Write a simulation that runs at compiled speed without leaving the language", "Solve differential equations or optimization problems with the SciML stack", "Prototype in a notebook and reuse code in batch jobs"],
		16	+ "advantages": ["High performance for numerical loops without C extensions", "Reproducible environments through manifests", "Permissive MIT license"],
		17	+ "limitations": ["Compile latency when first calling functions", "Smaller ecosystem than Python or R", "Fewer production-grade options for web and application development"],
		18	+ "prerequisites": ["Julia binary from julialang.org or juliaup"],
		19	+ "audiences": ["Computational scientists and applied mathematicians", "Economists running structural or simulation models", "Researchers who need performance without C"],
		20	+ "alternatives": ["python", "r", "matlab", "rust"],
		21	+ "comparison_notes": "Python and R have far larger ecosystems and more learning material, but hot loops in those languages usually require vectorization or compiled extensions; Julia aims to make the same code fast directly. MATLAB offers a comparable numerical environment commercially with toolboxes and vendor support. Rust produces fast binaries too but is a systems language with static typing and no REPL-centric workflow.",
		22	+ "categories": [{ "slug": "programming-languages", "primary": true }, { "slug": "math-stats-tools" }],
		23	+ "tags": ["open-source", "scientific-computing", "numerical", "notebooks"],
		24	+ "use_cases": ["run-simulations", "write-papers"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["desktop", "on-premises"],
		29	+ "integrations": ["Jupyter", "VS Code", "Pluto", "PyCall", "RCall"],
		30	+ "data_formats": ["CSV", "Arrow", "HDF5", "JLD2", "JSON"],
		31	+ "languages": ["Julia", "C"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://julialang.org/", "type": "official_site", "title": "The Julia Programming Language", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.julialang.org/en/v1/", "type": "official_docs", "title": "Julia Documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/JuliaLang/julia/blob/master/LICENSE.md", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/jupyter.json +201 −0

				@@ -0,0 +1,201 @@
		1	+{
		2	+ "aliases": [
		3	+ "Jupyter",
		4	+ "JupyterLab",
		5	+ "Jupyter Notebook",
		6	+ "JupyterHub",
		7	+ "IPython Notebook"
		8	+ ],
		9	+ "workflows": [
		10	+ "Exploratory analysis of a dataset with pandas or Polars",
		11	+ "Course material and assignments distributed as notebooks",
		12	+ "Documented empirical results exported to PDF or HTML",
		13	+ "Shared research environment via JupyterHub on a lab server"
		14	+ ],
		15	+ "advantages": [
		16	+ "Ubiquitous format supported by many editors and clouds",
		17	+ "Language-agnostic through kernels",
		18	+ "Large extension ecosystem",
		19	+ "BSD license and open governance"
		20	+ ],
		21	+ "limitations": [
		22	+ "Out-of-order execution and hidden state hurt reproducibility",
		23	+ "JSON notebooks are hard to diff and review",
		24	+ "Not a production scheduler or deployment tool",
		25	+ "Large outputs make files heavy"
		26	+ ],
		27	+ "prerequisites": [
		28	+ "Python environment for JupyterLab; additional kernels for other languages"
		29	+ ],
		30	+ "audiences": [
		31	+ "Researchers and students",
		32	+ "Data scientists",
		33	+ "Instructors"
		34	+ ],
		35	+ "alternatives": [
		36	+ "marimo",
		37	+ "observable",
		38	+ "quarto",
		39	+ "vs-code",
		40	+ "rstudio",
		41	+ "positron"
		42	+ ],
		43	+ "tags": [
		44	+ "notebooks",
		45	+ "python",
		46	+ "r",
		47	+ "julia",
		48	+ "open-source",
		49	+ "reproducible-research"
		50	+ ],
		51	+ "use_cases": [
		52	+ "analyze-intraday-data",
		53	+ "write-papers",
		54	+ "teach-courses"
		55	+ ],
		56	+ "operating_systems": [
		57	+ "macos",
		58	+ "linux",
		59	+ "windows",
		60	+ "web"
		61	+ ],
		62	+ "deployment_models": [
		63	+ "desktop",
		64	+ "on-premises",
		65	+ "managed-cloud"
		66	+ ],
		67	+ "integrations": [
		68	+ "VS Code",
		69	+ "Google Colab",
		70	+ "Binder",
		71	+ "pandas",
		72	+ "matplotlib",
		73	+ "Plotly",
		74	+ "Quarto",
		75	+ "nbdime",
		76	+ "Jupytext"
		77	+ ],
		78	+ "data_formats": [
		79	+ ".ipynb (JSON)",
		80	+ "HTML",
		81	+ "PDF",
		82	+ "LaTeX",
		83	+ "Markdown"
		84	+ ],
		85	+ "languages": [
		86	+ "Python",
		87	+ "R",
		88	+ "Julia",
		89	+ "JavaScript",
		90	+ "TypeScript"
		91	+ ],
		92	+ "self_hostable": true,
		93	+ "discovery_method": "editorial-research",
		94	+ "depth": "deep",
		95	+ "editorial_status": "reviewed",
		96	+ "visibility": "public",
		97	+ "featured": true,
		98	+ "author": "batch-D",
		99	+ "slug": "jupyter",
		100	+ "name": "Project Jupyter",
		101	+ "vendor": {
		102	+ "name": "Project Jupyter (NumFOCUS)",
		103	+ "slug": "project-jupyter",
		104	+ "website": "https://jupyter.org/"
		105	+ },
		106	+ "homepage_url": "https://jupyter.org/",
		107	+ "docs_url": "https://docs.jupyter.org/en/latest/",
		108	+ "repo_url": "https://github.com/jupyterlab/jupyterlab",
		109	+ "license_url": "https://github.com/jupyterlab/jupyterlab/blob/main/LICENSE",
		110	+ "product_type": "application",
		111	+ "product_status": "active",
		112	+ "summary": "Open-source computational notebook ecosystem: the .ipynb format, kernels for Python, R and Julia, JupyterLab and Notebook interfaces and JupyterHub",
		113	+ "description": "Project Jupyter is the open-source project, governed by a community under NumFOCUS and licensed under BSD 3-Clause, that defines the computational notebook as most researchers know it. A notebook (.ipynb) is a JSON document of code cells, their outputs (text, tables, images, interactive widgets) and Markdown prose. Kernels execute the code: IPython for Python, IRkernel for R, IJulia for Julia and dozens more, all speaking the same messaging protocol. JupyterLab is the extensible browser-based IDE with file browser, terminals, editors and plugins; Notebook 7 offers the simpler single-document interface on the same foundations; JupyterHub serves notebooks to many users on shared infrastructure, and Binder launches reproducible environments from Git repositories. nbconvert exports to HTML, PDF and LaTeX, Voilà turns notebooks into dashboards, and ipywidgets adds interactivity.\n\nJupyter is the default environment for exploratory data analysis, teaching, and documenting empirical work, and the .ipynb format is also executed by VS Code, Google Colab, Kaggle, Databricks and many AI-assisted tools. Install is a pip or conda command; on a cluster of Macs a JupyterHub or remote kernel setup gives shared access.\n\nThe familiar criticisms concern reproducibility: cells can run out of order and hidden state accumulates, which is what marimo and Quarto set out to fix; the JSON format makes diffs and code review awkward without tools like nbdime or Jupytext; and large outputs bloat files. Jupyter is also an environment, not a scheduler, so production pipelines usually move code out of notebooks.",
		114	+ "capabilities": [
		115	+ "Notebook documents mixing code, outputs and Markdown (.ipynb)",
		116	+ "Kernels for Python, R, Julia and many other languages",
		117	+ "JupyterLab extensible IDE and Notebook 7 interface",
		118	+ "JupyterHub multi-user server and Binder reproducible environments",
		119	+ "nbconvert export to HTML, PDF, LaTeX and slides",
		120	+ "ipywidgets interactivity and Voilà dashboards",
		121	+ "Rich MIME output: plots, tables, HTML, LaTeX math"
		122	+ ],
		123	+ "comparison_notes": "marimo stores notebooks as plain Python files with reactive execution, trading Jupyter's kernel-agnosticism for reproducibility. Observable notebooks are JavaScript-based and browser-native. Quarto is a publishing system that renders Jupyter or R Markdown notebooks into documents and sites rather than an interactive environment. VS Code and Positron embed Jupyter kernels inside a general IDE, and RStudio remains the R-centric equivalent.",
		124	+ "categories": [
		125	+ {
		126	+ "slug": "notebooks",
		127	+ "primary": true
		128	+ },
		129	+ {
		130	+ "slug": "academic-writing"
		131	+ }
		132	+ ],
		133	+ "execution_modes": [
		134	+ "local",
		135	+ "self-hosted",
		136	+ "cloud"
		137	+ ],
		138	+ "interfaces": [
		139	+ "web",
		140	+ "cli",
		141	+ "library"
		142	+ ],
		143	+ "source_model": "open-source",
		144	+ "license_spdx": "BSD-3-Clause",
		145	+ "pricing_model": [
		146	+ "open-source",
		147	+ "free"
		148	+ ],
		149	+ "sources": [
		150	+ {
		151	+ "url": "https://jupyter.org/",
		152	+ "type": "official_site",
		153	+ "supports": [
		154	+ "name",
		155	+ "summary",
		156	+ "capabilities"
		157	+ ],
		158	+ "checked_at": "2026-11-02",
		159	+ "title": "Project Jupyter"
		160	+ },
		161	+ {
		162	+ "url": "https://docs.jupyter.org/en/latest/",
		163	+ "type": "official_docs",
		164	+ "supports": [
		165	+ "capabilities",
		166	+ "languages"
		167	+ ],
		168	+ "checked_at": "2026-11-02",
		169	+ "title": "Jupyter Documentation"
		170	+ },
		171	+ {
		172	+ "url": "https://github.com/jupyterlab/jupyterlab/blob/main/LICENSE",
		173	+ "type": "license_page",
		174	+ "supports": [
		175	+ "license_spdx",
		176	+ "source_model"
		177	+ ],
		178	+ "checked_at": "2026-11-02",
		179	+ "title": "JupyterLab LICENSE (BSD 3-Clause)"
		180	+ },
		181	+ {
		182	+ "url": "https://github.com/jupyterlab/jupyterlab",
		183	+ "type": "repository",
		184	+ "supports": [
		185	+ "repo_url"
		186	+ ],
		187	+ "checked_at": "2026-11-02",
		188	+ "title": "jupyterlab/jupyterlab"
		189	+ },
		190	+ {
		191	+ "url": "https://github.com/jupyter/notebook",
		192	+ "type": "repository",
		193	+ "supports": [
		194	+ "capabilities"
		195	+ ],
		196	+ "checked_at": "2026-11-02",
		197	+ "title": "jupyter/notebook (Notebook 7)"
		198	+ }
		199	+ ],
		200	+ "confidence": "high"
		201	+}

added content/tools/karabiner-elements.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "karabiner-elements",
		3	+ "name": "Karabiner-Elements",
		4	+ "aliases": ["Karabiner"],
		5	+ "vendor": { "name": "pqrs.org (Takayama Fumihiko)", "slug": "pqrs-org", "website": "https://pqrs.org/" },
		6	+ "homepage_url": "https://karabiner-elements.pqrs.org/",
		7	+ "docs_url": "https://karabiner-elements.pqrs.org/docs/",
		8	+ "repo_url": "https://github.com/pqrs-org/Karabiner-Elements",
		9	+ "license_url": "https://github.com/pqrs-org/Karabiner-Elements/blob/main/LICENSE.md",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Free, public-domain keyboard customizer for macOS that remaps keys and defines complex modifications through JSON rules at the driver level",
		13	+ "description": "Karabiner-Elements is a keyboard customizer for macOS developed by pqrs.org and released into the public domain (Unlicense). Unlike application-level tools it works with a virtual HID driver, so remappings apply system-wide and per physical device before applications see the keystrokes. Simple modifications swap one key for another from a graphical list; complex modifications are JSON rules that can turn Caps Lock into Escape when tapped and Control when held, create layers, add Vi or Emacs bindings, or change behavior per application. Rules can be imported from a community collection.\n\nProfiles let users switch sets of rules, settings can be scoped to specific keyboards, and a companion EventViewer shows raw key events for debugging. The current release supports macOS 13 through the latest version on Intel and Apple Silicon, with older releases for earlier systems.\n\nIt is purely a keyboard tool: there is no window management, mouse scripting or general automation, and installing its driver extension requires approving a system extension and granting input-monitoring permission.",
		14	+ "capabilities": ["System-wide key remapping via a virtual HID driver", "Complex JSON rules with tap/hold, layers and per-app conditions", "Device-specific settings and switchable profiles", "Importable community rule collections", "EventViewer for inspecting key events"],
		15	+ "workflows": ["Make Caps Lock act as Escape and Control", "Give an external PC keyboard Mac modifier layout", "Add a navigation layer on the home row"],
		16	+ "advantages": ["Free and public domain", "Works below the application layer, so remaps are universal", "Long-maintained with current macOS support"],
		17	+ "limitations": ["Keyboard only; no mouse or window automation", "Requires system-extension and input-monitoring approval", "JSON rule syntax has a learning curve"],
		18	+ "prerequisites": ["macOS 13 or later for the current release"],
		19	+ "audiences": ["Keyboard-focused users and developers", "People using non-Apple keyboards on Macs"],
		20	+ "alternatives": ["hammerspoon", "keyboard-maestro"],
		21	+ "categories": [{ "slug": "macos-utilities", "primary": true }, { "slug": "macos-automation" }],
		22	+ "tags": ["macos", "keyboard", "remapping", "open-source", "apple-silicon"],
		23	+ "use_cases": ["automate-desktop-tasks"],
		24	+ "operating_systems": ["macos"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["desktop", "cli"],
		27	+ "deployment_models": ["desktop"],
		28	+ "integrations": ["Homebrew cask"],
		29	+ "data_formats": ["karabiner.json configuration"],
		30	+ "languages": ["C++", "Swift"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "Unlicense",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://karabiner-elements.pqrs.org/", "type": "official_site", "title": "Karabiner-Elements", "supports": ["name", "summary", "capabilities", "prerequisites"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://karabiner-elements.pqrs.org/docs/", "type": "official_docs", "title": "Karabiner-Elements documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/pqrs-org/Karabiner-Elements/blob/main/LICENSE.md", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "Public-domain dedication (Unlicense text)" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/keyboard-maestro.json +45 −0

				@@ -0,0 +1,45 @@
		1	+{
		2	+ "slug": "keyboard-maestro",
		3	+ "name": "Keyboard Maestro",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Stairways Software Pty Ltd", "slug": "stairways-software", "website": "https://www.stairways.com/" },
		6	+ "homepage_url": "https://www.keyboardmaestro.com/main/",
		7	+ "docs_url": "https://wiki.keyboardmaestro.com/",
		8	+ "pricing_url": "https://www.keyboardmaestro.com/main/",
		9	+ "product_type": "application",
		10	+ "product_status": "active",
		11	+ "summary": "Commercial macOS macro application that runs sequences of actions from hotkeys, typed strings, application, time, device and system triggers",
		12	+ "description": "Keyboard Maestro is a commercial macOS automation application from Stairways Software, sold as a one-time license with paid major upgrades and a free trial. Its unit of work is the macro: a list of actions grouped into macro groups that control when the macro is available, fired by triggers such as hot keys, typed strings, application launches, time schedules, USB or Wi-Fi changes, folder changes, clipboard changes or remote URL calls.\n\nThe action library covers window and application control, keystroke and mouse simulation, clipboard and text manipulation, image recognition on screen, web-form filling, file operations, variables, conditions and loops, and steps that run shell scripts, AppleScript, JavaScript for Automation or Swift. A palette and conflict-menu system lets many macros share a few keys. The wiki serves as the reference manual and a long-running forum carries community macros.\n\nIt suits Mac power users who want GUI-level automation with a visual editor rather than code, and it is often used alongside Hammerspoon or Alfred. It is proprietary, macOS-only (10.13 or later for the current version), and heavy GUI scripting via screen-image matching can be fragile when application layouts change.",
		13	+ "capabilities": ["Macros triggered by hot keys, typed strings, apps, time, devices and events", "Keystroke, mouse and window control with screen-image matching", "Clipboard, text and variable manipulation with conditions and loops", "Shell, AppleScript, JavaScript and Swift script actions", "Macro palettes and per-application macro groups", "Remote and URL triggers"],
		14	+ "workflows": ["Expand typed abbreviations into templates", "Set up window layouts when an external display connects", "Fill repetitive web forms with recorded steps"],
		15	+ "advantages": ["Visual editor with a very large action library", "One-time purchase, no subscription", "Mature product with extensive wiki and forum"],
		16	+ "limitations": ["macOS only and proprietary", "Image-based GUI automation breaks when interfaces change", "Paid upgrades between major versions"],
		17	+ "prerequisites": ["macOS 10.13 or later", "Accessibility permission"],
		18	+ "audiences": ["Mac power users", "Knowledge workers automating repetitive GUI tasks"],
		19	+ "alternatives": ["hammerspoon", "shortcuts", "alfred", "raycast"],
		20	+ "categories": [{ "slug": "macos-automation", "primary": true }],
		21	+ "tags": ["macos", "automation", "macros", "hotkeys", "proprietary"],
		22	+ "use_cases": ["automate-desktop-tasks"],
		23	+ "operating_systems": ["macos"],
		24	+ "execution_modes": ["local"],
		25	+ "interfaces": ["desktop"],
		26	+ "deployment_models": ["desktop"],
		27	+ "integrations": ["AppleScript", "Shell", "JavaScript for Automation", "Swift", "URL schemes"],
		28	+ "data_formats": [".kmmacros exports"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["paid"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://www.keyboardmaestro.com/main/", "type": "official_site", "title": "Keyboard Maestro – Stairways Software", "supports": ["name", "summary", "pricing_model", "prerequisites"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://wiki.keyboardmaestro.com/", "type": "official_docs", "title": "Keyboard Maestro Wiki", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "high",
		39	+ "discovery_method": "editorial-research",
		40	+ "depth": "standard",
		41	+ "editorial_status": "reviewed",
		42	+ "visibility": "public",
		43	+ "featured": false,
		44	+ "author": "batch-C"
		45	+}

added content/tools/keycloak.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "keycloak",
		3	+ "name": "Keycloak",
		4	+ "aliases": ["Red Hat build of Keycloak", "RH-SSO"],
		5	+ "vendor": { "name": "Keycloak project (CNCF incubating, originated at Red Hat)", "slug": "keycloak-project", "website": "https://www.keycloak.org" },
		6	+ "homepage_url": "https://www.keycloak.org/",
		7	+ "docs_url": "https://www.keycloak.org/documentation",
		8	+ "repo_url": "https://github.com/keycloak/keycloak",
		9	+ "license_url": "https://github.com/keycloak/keycloak/blob/main/LICENSE.txt",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source identity and access management server providing single sign-on with OpenID Connect, OAuth 2.0 and SAML, user federation and fine-grained authorization",
		13	+ "description": "Keycloak is an identity and access management server, licensed under Apache-2.0 and an incubating project of the Cloud Native Computing Foundation after originating at Red Hat. It acts as an OpenID Connect, OAuth 2.0 and SAML 2.0 identity provider for applications, offering login pages, single sign-on and sign-out, social and enterprise identity brokering, user federation with LDAP and Active Directory, multi-factor authentication including WebAuthn passkeys, and an authorization-services component for policy-based permissions. Realms isolate tenants, and an admin console and REST API manage clients, users, roles and themes.\n\nIt runs on Quarkus as a Java application, typically in a container with PostgreSQL or another relational database, and is a standard choice when an organization wants to own its identity provider rather than rent one. Red Hat sells a supported build for enterprise customers.\n\nKeycloak is comparatively heavy: memory use, clustering configuration and frequent major releases demand attention, and customizing flows or themes involves Java development.",
		14	+ "capabilities": ["OpenID Connect, OAuth 2.0 and SAML 2.0 identity provider", "Single sign-on across applications with session management", "User federation with LDAP and Active Directory and identity brokering with social or enterprise IdPs", "Multi-factor authentication including WebAuthn passkeys and OTP", "Authorization services for policy-based permissions", "Admin console, REST API and customizable themes and flows"],
		15	+ "workflows": ["Protect internal web applications with SSO and a reverse-proxy OIDC adapter", "Federate an existing LDAP directory into modern OIDC logins", "Issue tokens to APIs and mobile apps"],
		16	+ "advantages": ["Full-featured, standards-based and Apache-2.0", "Active community with CNCF governance", "Supported commercial build available from Red Hat"],
		17	+ "limitations": ["Resource-heavy Java application with involved clustering", "Frequent major releases require upgrade planning", "Customization often requires Java extensions"],
		18	+ "prerequisites": ["Java runtime or container", "Relational database such as PostgreSQL"],
		19	+ "audiences": ["Platform and security engineers", "Organizations self-hosting identity"],
		20	+ "alternatives": ["authentik", "supabase"],
		21	+ "comparison_notes": "authentik covers a similar protocol set with a Python and Go stack, a built-in application proxy and a lighter footprint, but reserves some features for its enterprise edition. Supabase Auth is an application-embedded authentication service rather than an organization-wide identity provider.",
		22	+ "categories": [{ "slug": "identity-access", "primary": true }],
		23	+ "tags": ["identity", "sso", "oidc", "saml", "open-source", "self-hosted", "cncf", "passkeys"],
		24	+ "use_cases": ["manage-identity", "secure-applications"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["web", "api"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["LDAP", "Active Directory", "PostgreSQL", "Kubernetes", "Docker", "Google", "GitHub", "Microsoft Entra ID"],
		30	+ "data_formats": ["JSON", "JWT", "SAML XML"],
		31	+ "languages": ["Java", "TypeScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.keycloak.org/", "type": "official_site", "title": "Keycloak", "supports": ["name", "summary", "vendor", "capabilities"], "checked_at": "2026-11-02", "note": "Footer states Keycloak is a Cloud Native Computing Foundation incubation project." },
		38	+ { "url": "https://www.keycloak.org/documentation", "type": "official_docs", "title": "Keycloak Documentation", "supports": ["capabilities", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/keycloak/keycloak/blob/main/LICENSE.txt", "type": "license_page", "title": "Keycloak LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/kraken-api.json +161 −0

				@@ -0,0 +1,161 @@
		1	+{
		2	+ "slug": "kraken-api",
		3	+ "name": "Kraken API",
		4	+ "aliases": [
		5	+ "Kraken REST API",
		6	+ "Kraken WebSocket API",
		7	+ "Kraken Pro API"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Payward, Inc. (Kraken)",
		11	+ "slug": "kraken",
		12	+ "website": "https://www.kraken.com"
		13	+ },
		14	+ "homepage_url": "https://www.kraken.com/pro/trading-api",
		15	+ "docs_url": "https://docs.kraken.com/",
		16	+ "repo_url": "https://github.com/krakenfx",
		17	+ "pricing_url": "https://www.kraken.com/features/fee-schedule",
		18	+ "product_type": "api-service",
		19	+ "product_status": "active",
		20	+ "summary": "REST, WebSocket and FIX interfaces to the Kraken cryptocurrency exchange for market data, spot and derivatives trading and account management",
		21	+ "description": "The Kraken API is the developer interface of the Kraken cryptocurrency exchange operated by Payward. It provides public endpoints for order books, trades, OHLC candles and asset pairs, and authenticated endpoints for balances, order placement, ledgers, funding and staking. Spot trading is served over REST and WebSocket, derivatives through a separate futures API, and FIX is offered for institutional connectivity. Private calls are signed with an API key and HMAC signature over a nonce, and permissions are scoped per key. Kraken publishes an open-source command-line client and lists community libraries for Python and Node.js. Market-data endpoints are free to call within rate limits; trading incurs exchange fees. Rate limits are tiered by account, and the API's crypto-only scope means equities or traditional assets need another venue.",
		22	+ "capabilities": [
		23	+ "Public market data: order book, trades, OHLC and ticker",
		24	+ "Authenticated spot order management and account ledgers",
		25	+ "WebSocket streams for real-time quotes and private order updates",
		26	+ "Futures API for derivatives trading",
		27	+ "FIX connectivity for institutions",
		28	+ "Kraken CLI with paper trading against live data"
		29	+ ],
		30	+ "workflows": [
		31	+ "Stream order-book updates over WebSocket into a research database",
		32	+ "Automate spot orders from a signed REST client"
		33	+ ],
		34	+ "advantages": [
		35	+ "Public market data without an account",
		36	+ "Multiple transports: REST, WebSocket, FIX",
		37	+ "Official CLI and documented signing scheme"
		38	+ ],
		39	+ "limitations": [
		40	+ "Crypto assets only",
		41	+ "Tiered rate limits require careful client design",
		42	+ "Regional availability of products varies"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Kraken account and API key for private endpoints"
		46	+ ],
		47	+ "audiences": [
		48	+ "Crypto traders and market makers",
		49	+ "Researchers collecting crypto microstructure data"
		50	+ ],
		51	+ "alternatives": [
		52	+ "alpaca",
		53	+ "interactive-brokers-api"
		54	+ ],
		55	+ "comparison_notes": "Alpaca and Interactive Brokers are regulated securities brokers whose APIs cover equities and options (and, for Alpaca, crypto); Kraken is a crypto exchange with exchange-native market data rather than consolidated securities feeds.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "financial-analysis-investing",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "market-data-apis",
		63	+ "label": "Crypto exchange market data"
		64	+ }
		65	+ ],
		66	+ "tags": [
		67	+ "crypto",
		68	+ "exchange",
		69	+ "trading-api",
		70	+ "websocket",
		71	+ "api",
		72	+ "market-data"
		73	+ ],
		74	+ "use_cases": [
		75	+ "automate-trading",
		76	+ "access-market-data"
		77	+ ],
		78	+ "operating_systems": [
		79	+ "any"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "cloud"
		83	+ ],
		84	+ "interfaces": [
		85	+ "api",
		86	+ "cli"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "saas"
		90	+ ],
		91	+ "integrations": [
		92	+ "QuantConnect",
		93	+ "ccxt",
		94	+ "krakenex (Python)",
		95	+ "kraken-api (Node.js)"
		96	+ ],
		97	+ "data_formats": [
		98	+ "JSON",
		99	+ "FIX"
		100	+ ],
		101	+ "languages": [
		102	+ "Any (HTTP)",
		103	+ "Python",
		104	+ "JavaScript"
		105	+ ],
		106	+ "source_model": "proprietary",
		107	+ "pricing_model": [
		108	+ "free",
		109	+ "usage-based"
		110	+ ],
		111	+ "pricing_checked_at": "2026-11-02",
		112	+ "self_hostable": false,
		113	+ "sources": [
		114	+ {
		115	+ "url": "https://www.kraken.com/pro/trading-api",
		116	+ "type": "official_site",
		117	+ "supports": [
		118	+ "name",
		119	+ "summary"
		120	+ ],
		121	+ "checked_at": "2026-11-02",
		122	+ "title": "Kraken Pro Trading API"
		123	+ },
		124	+ {
		125	+ "url": "https://docs.kraken.com/",
		126	+ "type": "official_docs",
		127	+ "supports": [
		128	+ "capabilities",
		129	+ "interfaces",
		130	+ "integrations"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "Kraken developer documentation"
		134	+ },
		135	+ {
		136	+ "url": "https://www.kraken.com/features/fee-schedule",
		137	+ "type": "pricing_page",
		138	+ "supports": [
		139	+ "pricing_model"
		140	+ ],
		141	+ "checked_at": "2026-11-02",
		142	+ "title": "Kraken fee schedule"
		143	+ },
		144	+ {
		145	+ "url": "https://github.com/krakenfx/kraken-cli",
		146	+ "type": "repository",
		147	+ "supports": [
		148	+ "capabilities"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "krakenfx/kraken-cli"
		152	+ }
		153	+ ],
		154	+ "confidence": "high",
		155	+ "depth": "standard",
		156	+ "featured": false,
		157	+ "discovery_method": "editorial-research",
		158	+ "editorial_status": "reviewed",
		159	+ "visibility": "public",
		160	+ "author": "batch-F"
		161	+}

added content/tools/kubernetes.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "kubernetes",
		3	+ "name": "Kubernetes",
		4	+ "aliases": ["K8s"],
		5	+ "vendor": { "name": "Cloud Native Computing Foundation", "slug": "cncf", "website": "https://www.cncf.io" },
		6	+ "homepage_url": "https://kubernetes.io/",
		7	+ "docs_url": "https://kubernetes.io/docs/home/",
		8	+ "repo_url": "https://github.com/kubernetes/kubernetes",
		9	+ "license_url": "https://github.com/kubernetes/kubernetes/blob/master/LICENSE",
		10	+ "product_type": "platform",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source system for scheduling, scaling and operating containerized workloads across a cluster of machines",
		13	+ "description": "Kubernetes is the container orchestration platform originally developed at Google and now a graduated project of the Cloud Native Computing Foundation, licensed under Apache-2.0. It turns a set of machines into a cluster on which declarative objects, such as Deployments, Services, ConfigMaps and PersistentVolumeClaims, describe the desired state; controllers continuously reconcile actual state toward it, restarting failed pods, rolling out new image versions and rescheduling work when nodes disappear.\n\nIt is used wherever applications span more than one host or need automated self-healing, horizontal scaling and service discovery. Managed offerings from every major cloud (EKS, GKE, AKS and others) remove control-plane operation, while distributions such as k3s or kind run on a single machine for development and edge use. The API is extensible through Custom Resource Definitions and operators, which is why databases, message brokers and machine-learning pipelines commonly ship Kubernetes-native deployment paths. Ingress controllers and the newer Gateway API bring traffic from reverse proxies like Traefik or NGINX into the cluster.\n\nThe platform's main cost is operational complexity. Networking, storage, secrets, RBAC and upgrades each require decisions and tooling, and the release cadence means clusters need regular maintenance. For a handful of services on one or two servers, Compose files or a process manager are often sufficient, and small teams frequently defer Kubernetes until workload count or availability requirements justify it.",
		14	+ "capabilities": ["Declarative deployments with rolling updates and rollbacks", "Automatic rescheduling of failed pods and horizontal pod autoscaling", "Service discovery, load balancing and Ingress or Gateway API routing", "Persistent storage through volume plugins and the CSI interface", "Role-based access control, namespaces and network policies", "Extensibility through Custom Resource Definitions and operators", "Helm charts and kustomize for packaging and configuration"],
		15	+ "workflows": ["Deploy a multi-service application with health checks and autoscaling", "Run batch or scheduled jobs across a node pool", "Operate a managed cluster on a public cloud", "Develop against a local single-node cluster"],
		16	+ "advantages": ["Vendor-neutral API supported by every major cloud", "Large ecosystem of operators, charts and tooling", "Self-healing and scaling built into the control loop", "Graduated CNCF project with a predictable release cycle"],
		17	+ "limitations": ["Substantial operational complexity and learning curve", "Regular upgrades are needed to stay within the supported version window", "Networking and storage depend on cluster-specific plugins", "Overkill for small single-host deployments"],
		18	+ "prerequisites": ["Linux nodes with a container runtime (containerd, CRI-O) or a managed cloud offering", "kubectl client and familiarity with YAML manifests"],
		19	+ "audiences": ["Platform and site-reliability engineers", "Teams running microservices", "ML engineers scheduling training or inference jobs"],
		20	+ "alternatives": ["docker", "podman", "fly-io"],
		21	+ "comparison_notes": "Docker Compose and Swarm cover single-host or small-cluster deployments with far less machinery, and Podman can generate Kubernetes YAML from local pods for a migration path. Platforms such as Fly.io provide scheduling and scaling as a managed service without exposing the Kubernetes API. Kubernetes is the choice when portability across providers and a rich operator ecosystem matter more than simplicity.",
		22	+ "categories": [{ "slug": "containers-virtualization", "primary": true }, { "slug": "distributed-computing" }],
		23	+ "tags": ["containers", "orchestration", "cncf", "open-source", "self-hosted", "devops"],
		24	+ "use_cases": ["host-web-apps", "serve-models", "orchestrate-containers"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["self-hosted", "cloud"],
		27	+ "interfaces": ["cli", "api"],
		28	+ "deployment_models": ["on-premises", "managed-cloud", "hybrid"],
		29	+ "integrations": ["containerd", "Helm", "Traefik", "NGINX Ingress", "Prometheus", "Amazon EKS", "Google Kubernetes Engine", "Azure Kubernetes Service"],
		30	+ "data_formats": ["YAML manifests", "OCI image"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://kubernetes.io/", "type": "official_site", "title": "Kubernetes – Production-Grade Container Orchestration", "supports": ["name", "summary", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://kubernetes.io/docs/home/", "type": "official_docs", "title": "Kubernetes Documentation", "supports": ["capabilities", "prerequisites"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/kubernetes/kubernetes/blob/master/LICENSE", "type": "license_page", "title": "Kubernetes LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/kuzu.json +190 −0

				@@ -0,0 +1,190 @@
		1	+{
		2	+ "aliases": [
		3	+ "Kuzu",
		4	+ "KuzuDB",
		5	+ "Kùzu Inc."
		6	+ ],
		7	+ "workflows": [
		8	+ "Local GraphRAG prototype combining graph traversal and embeddings",
		9	+ "Graph analytics inside a Python notebook without a server"
		10	+ ],
		11	+ "advantages": [
		12	+ "No server to run; MIT license",
		13	+ "Columnar vectorized execution for analytical graph queries"
		14	+ ],
		15	+ "limitations": [
		16	+ "Repository archived; no further releases from the original team",
		17	+ "Official website and documentation are offline",
		18	+ "Future compatibility depends on community forks"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "A pinned release from PyPI, npm, crates.io or Maven"
		22	+ ],
		23	+ "audiences": [
		24	+ "Researchers and developers maintaining existing Kùzu-based projects"
		25	+ ],
		26	+ "alternatives": [
		27	+ "neo4j",
		28	+ "duckdb",
		29	+ "sqlite"
		30	+ ],
		31	+ "tags": [
		32	+ "graph-database",
		33	+ "embedded-database",
		34	+ "cypher",
		35	+ "rag",
		36	+ "open-source"
		37	+ ],
		38	+ "use_cases": [
		39	+ "model-knowledge-graphs"
		40	+ ],
		41	+ "operating_systems": [
		42	+ "macos",
		43	+ "linux",
		44	+ "windows"
		45	+ ],
		46	+ "deployment_models": [
		47	+ "embedded"
		48	+ ],
		49	+ "integrations": [
		50	+ "LangChain",
		51	+ "LlamaIndex",
		52	+ "NetworkX",
		53	+ "Apache Arrow",
		54	+ "Polars/pandas (import/export)"
		55	+ ],
		56	+ "data_formats": [
		57	+ "CSV",
		58	+ "Parquet",
		59	+ "JSON",
		60	+ "Arrow"
		61	+ ],
		62	+ "languages": [
		63	+ "Cypher",
		64	+ "C++",
		65	+ "Python",
		66	+ "JavaScript",
		67	+ "Rust",
		68	+ "Java",
		69	+ "Go"
		70	+ ],
		71	+ "self_hostable": true,
		72	+ "discovery_method": "editorial-research",
		73	+ "depth": "deep",
		74	+ "editorial_status": "reviewed",
		75	+ "visibility": "public",
		76	+ "featured": false,
		77	+ "author": "batch-D",
		78	+ "slug": "kuzu",
		79	+ "name": "Kùzu",
		80	+ "vendor": {
		81	+ "name": "Kùzu Inc. (company acquired; project archived)",
		82	+ "slug": "kuzu-inc",
		83	+ "website": "https://github.com/kuzudb/kuzu"
		84	+ },
		85	+ "homepage_url": "https://github.com/kuzudb/kuzu",
		86	+ "docs_url": "https://github.com/kuzudb/kuzu#readme",
		87	+ "repo_url": "https://github.com/kuzudb/kuzu",
		88	+ "license_url": "https://github.com/kuzudb/kuzu/blob/master/LICENSE",
		89	+ "product_type": "database",
		90	+ "product_status": "discontinued",
		91	+ "summary": "Embedded property-graph database with Cypher, vector and full-text search; MIT-licensed but archived in October 2025 after the company was acquired",
		92	+ "description": "Kùzu (KuzuDB) was an embedded property-graph database written in C++ and developed by Kùzu Inc., a University of Waterloo spin-out. Like DuckDB for tables, it ran in-process from Python, Node.js, Rust, Java, Go or C with no server, stored a graph in a single database file, and answered Cypher queries through a columnar, vectorized executor. Later releases added vector indexes and full-text search so that graph traversal, keyword and embedding retrieval could be combined in one query, which made it popular for GraphRAG experiments and for LangChain and LlamaIndex integrations.\n\nThe project is no longer maintained. The GitHub repository was archived on 10 October 2025 with the note that the team was working on something new, the last PyPI release (0.11.3) was published the same day, and the kuzudb.com website and docs went offline. In February 2026 an Apple filing under the EU Digital Markets Act disclosed that Apple had agreed on 9 October 2025 to acquire Kùzu Inc.; Apple has not announced plans for the software. Existing releases remain installable and usable under the MIT license, and community forks such as RyuGraph (Predictable Labs) and bighorn (Kineviz) continue development, but no security fixes or new features should be expected from the original project.",
		93	+ "capabilities": [
		94	+ "In-process property-graph storage in a single file",
		95	+ "Cypher query language",
		96	+ "Vector index and full-text search extensions",
		97	+ "Bindings for Python, Node.js, Rust, Java, Go and C"
		98	+ ],
		99	+ "comparison_notes": "Neo4j is the server-based alternative with commercial support and a managed cloud. DuckDB offers the same embedded, columnar approach for relational rather than graph data and is actively maintained. Forks RyuGraph and bighorn aim to continue the Kùzu codebase.",
		100	+ "categories": [
		101	+ {
		102	+ "slug": "nosql-databases",
		103	+ "primary": true
		104	+ },
		105	+ {
		106	+ "slug": "analytics-engines"
		107	+ }
		108	+ ],
		109	+ "execution_modes": [
		110	+ "local"
		111	+ ],
		112	+ "interfaces": [
		113	+ "library",
		114	+ "cli"
		115	+ ],
		116	+ "source_model": "open-source",
		117	+ "license_spdx": "MIT",
		118	+ "pricing_model": [
		119	+ "open-source",
		120	+ "free"
		121	+ ],
		122	+ "sources": [
		123	+ {
		124	+ "url": "https://github.com/kuzudb/kuzu",
		125	+ "type": "official_site",
		126	+ "supports": [
		127	+ "name",
		128	+ "summary",
		129	+ "product_status",
		130	+ "capabilities"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "kuzudb/kuzu (archived repository)",
		134	+ "note": "Repository banner states it was archived by the owner on Oct 10, 2025; kuzudb.com and docs.kuzudb.com did not resolve today"
		135	+ },
		136	+ {
		137	+ "url": "https://github.com/kuzudb/kuzu",
		138	+ "type": "repository",
		139	+ "supports": [
		140	+ "repo_url"
		141	+ ],
		142	+ "checked_at": "2026-11-02",
		143	+ "title": "kuzudb/kuzu"
		144	+ },
		145	+ {
		146	+ "url": "https://github.com/kuzudb/kuzu/blob/master/LICENSE",
		147	+ "type": "license_page",
		148	+ "supports": [
		149	+ "license_spdx",
		150	+ "source_model"
		151	+ ],
		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Kùzu LICENSE (MIT)"
		154	+ },
		155	+ {
		156	+ "url": "https://pypi.org/project/kuzu/",
		157	+ "type": "package_registry",
		158	+ "supports": [
		159	+ "product_status"
		160	+ ],
		161	+ "checked_at": "2026-11-02",
		162	+ "title": "kuzu on PyPI",
		163	+ "note": "Latest release 0.11.3 uploaded 2025-10-10"
		164	+ },
		165	+ {
		166	+ "url": "https://www.theregister.com/2025/10/14/kuzudb_abandoned/",
		167	+ "type": "news",
		168	+ "supports": [
		169	+ "product_status",
		170	+ "comparison_notes"
		171	+ ],
		172	+ "checked_at": "2026-11-02",
		173	+ "title": "The Register: KuzuDB graph database abandoned",
		174	+ "note": "Reports archive and community forks"
		175	+ },
		176	+ {
		177	+ "url": "https://betakit.com/apple-strikes-deal-to-acquire-canadian-database-software-startup-kuzu/",
		178	+ "type": "news",
		179	+ "supports": [
		180	+ "product_status",
		181	+ "vendor"
		182	+ ],
		183	+ "checked_at": "2026-11-02",
		184	+ "title": "BetaKit: Apple strikes deal to acquire Kuzu",
		185	+ "note": "EU DMA filing disclosed agreement dated 2025-10-09"
		186	+ }
		187	+ ],
		188	+ "confidence": "medium",
		189	+ "uncertainty_note": "Project status verified on the archived GitHub repository and PyPI; the acquisition by Apple is reported from an EU regulatory filing via news coverage, not from an Apple or Kùzu announcement. The official website is offline, so the GitHub repository is recorded as homepage."
		190	+}

added content/tools/langchain.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "langchain",
		3	+ "name": "LangChain",
		4	+ "aliases": ["langchain (PyPI)", "LangChain.js"],
		5	+ "vendor": { "name": "LangChain, Inc.", "slug": "langchain-inc", "website": "https://www.langchain.com" },
		6	+ "homepage_url": "https://www.langchain.com/langchain",
		7	+ "docs_url": "https://docs.langchain.com/oss/python/langchain/overview",
		8	+ "repo_url": "https://github.com/langchain-ai/langchain",
		9	+ "license_url": "https://github.com/langchain-ai/langchain/blob/master/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source Python and JavaScript framework whose create_agent harness builds tool-using agents on the LangGraph runtime with swappable model providers and middleware",
		13	+ "description": "LangChain is an MIT-licensed framework from LangChain, Inc. for building LLM applications in Python and JavaScript. After its 1.0 redesign the library centers on `create_agent`, a configurable agent harness: you pass a model identifier such as a provider-prefixed string, a list of plain functions as tools and a system prompt, then add middleware for guardrails, retries, routing or custom tool policies. A standard model interface covers OpenAI, Anthropic, Google, Bedrock, Azure, Ollama, Hugging Face and many other providers, so switching vendors is mostly a string change, and a large integrations catalog supplies document loaders, vector stores and retrievers for retrieval-augmented generation.\n\nAgents created with LangChain run on LangGraph, which supplies durable execution, persistence and human-in-the-loop controls, and they trace to LangSmith when an environment variable is set. Deep Agents, a batteries-included harness with context compression, a virtual filesystem and subagents, is built on the same primitives. The framework's strengths are breadth of integrations and a common vocabulary across providers; its recurring criticisms are abstraction overhead and API churn across major versions, so teams with simple needs sometimes call provider SDKs directly, and teams with complex control flow drop down to LangGraph.",
		14	+ "capabilities": ["`create_agent` harness with tools, prompts and middleware", "Standard chat-model interface across many providers", "Document loaders, text splitters, vector-store and retriever integrations", "Middleware for guardrails, retries and routing", "Runs on the LangGraph runtime for persistence and human-in-the-loop", "Python and JavaScript packages with LangSmith tracing"],
		15	+ "workflows": ["Build a tool-calling agent and swap the model provider via a string", "Assemble a RAG pipeline from loaders, splitters and a vector store", "Trace agent runs in LangSmith during development"],
		16	+ "advantages": ["Largest integration catalog among agent frameworks", "Provider-agnostic model interface", "MIT license and active community"],
		17	+ "limitations": ["Abstraction layers can obscure provider-specific behavior", "Frequent API changes between major versions", "Complex control flow is better expressed directly in LangGraph"],
		18	+ "prerequisites": ["Python 3.10+ or Node.js", "API key for at least one model provider or a local runtime such as Ollama"],
		19	+ "audiences": ["Application developers building LLM features and agents", "Teams standardizing on one interface across providers"],
		20	+ "alternatives": ["langgraph", "llamaindex", "pydantic-ai", "openai-agents-sdk", "crewai"],
		21	+ "categories": [{ "slug": "agent-frameworks", "primary": true }],
		22	+ "tags": ["agents", "rag", "llm", "open-source", "python", "typescript"],
		23	+ "use_cases": ["build-agents"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local", "self-hosted", "cloud"],
		26	+ "interfaces": ["library"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["LangGraph", "LangSmith", "OpenAI", "Anthropic", "Google Gemini", "Ollama", "Amazon Bedrock", "Hugging Face", "Chroma", "Qdrant", "pgvector"],
		29	+ "data_formats": ["JSON", "PDF and text (loaders)"],
		30	+ "languages": ["Python", "TypeScript", "JavaScript"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.langchain.com/langchain", "type": "official_site", "title": "LangChain", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.langchain.com/oss/python/langchain/overview", "type": "official_docs", "title": "LangChain overview (Python)", "supports": ["capabilities", "integrations"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/langchain-ai/langchain/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/langfuse.json +54 −0

				@@ -0,0 +1,54 @@
		1	+{
		2	+ "slug": "langfuse",
		3	+ "name": "Langfuse",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Langfuse (part of ClickHouse, Inc. since January 2026)", "slug": "langfuse", "website": "https://langfuse.com" },
		6	+ "homepage_url": "https://langfuse.com/",
		7	+ "docs_url": "https://langfuse.com/docs",
		8	+ "repo_url": "https://github.com/langfuse/langfuse",
		9	+ "pricing_url": "https://langfuse.com/pricing",
		10	+ "license_url": "https://github.com/langfuse/langfuse/blob/main/LICENSE",
		11	+ "privacy_url": "https://langfuse.com/privacy",
		12	+ "security_url": "https://langfuse.com/security",
		13	+ "product_type": "platform",
		14	+ "product_status": "active",
		15	+ "summary": "Open-source LLM observability and evaluation platform: tracing, LLM-as-judge and human evals, prompt management, datasets and cost dashboards, self-hostable or as Langfuse Cloud",
		16	+ "description": "Langfuse is an open-source platform for observing and evaluating LLM applications and agents. Instrumented applications send hierarchical traces of model calls, tool invocations and retrieval steps, which can be filtered by user, session, cost, latency or metadata. On top of traces sit evaluations (LLM-as-a-judge, heuristic scorers and human annotation queues), versioned prompt management with deployments and rollbacks, datasets and experiments for regression testing, and dashboards with cost and latency alerts. Native SDKs exist for Python and TypeScript, the platform is OpenTelemetry-native so other languages instrument through OTel, and more than a hundred integrations cover frameworks (LangChain, LlamaIndex, CrewAI, OpenAI Agents, Pydantic AI, LiteLLM), model providers and coding tools such as Claude Code and Cursor.\n\nAll product features are MIT-licensed; the repository notes a small `ee/` directory under a separate license, and the company states there are no feature gates on self-hosting. Deployment is Docker Compose, Kubernetes via Helm or Terraform templates for AWS, GCP and Azure, with ClickHouse as the analytical store. Langfuse Cloud offers Hobby (free), Core, Pro and Enterprise plans with US and EU regions. In January 2026 Langfuse GmbH was acquired by ClickHouse, Inc.; the team stated that the roadmap, open-source license and self-hosting commitment were unchanged.\n\nFor a team running agents on its own infrastructure, Langfuse is one of the few observability stacks that can be fully self-hosted without licensing fees. Operating it does mean running Postgres, ClickHouse, Redis and object storage, so very small projects may prefer the hosted tier.",
		17	+ "capabilities": ["Hierarchical tracing of LLM, tool and retrieval calls with sessions and users", "LLM-as-a-judge, heuristic and human-annotation evaluations", "Versioned prompt management with deployments, rollbacks and a playground", "Datasets and experiments for regression testing", "Cost and latency dashboards with alerts", "Python and TypeScript SDKs; OpenTelemetry-native ingestion", "100+ integrations including LangChain, LlamaIndex, LiteLLM, OpenAI Agents and Claude Code", "Self-hosting via Docker Compose, Helm or Terraform; Langfuse Cloud in US and EU"],
		18	+ "workflows": ["Instrument an agent and inspect failing traces by session", "Run nightly LLM-as-judge evaluations on sampled production traffic", "Manage and roll back production prompts without redeploying code", "Self-host on a Kubernetes cluster with ClickHouse and Postgres"],
		19	+ "advantages": ["MIT-licensed with no self-hosting feature gates", "Framework-agnostic through OpenTelemetry", "Mature prompt management alongside tracing", "Hosted and self-hosted options with EU region"],
		20	+ "limitations": ["Self-hosting requires Postgres, ClickHouse, Redis and object storage", "Hosted plans meter ingested units and retention", "Corporate ownership changed in 2026; long-term direction to be watched", "Enterprise self-hosted support is a paid add-on"],
		21	+ "prerequisites": ["Application instrumented with an SDK or OpenTelemetry", "Docker or Kubernetes for self-hosting, or a Langfuse Cloud account"],
		22	+ "audiences": ["Teams operating LLM applications in production", "Researchers tracking experiments on prompts and models", "Organizations requiring self-hosted observability"],
		23	+ "alternatives": ["langsmith", "braintrust", "weights-and-biases", "promptfoo"],
		24	+ "comparison_notes": "LangSmith is LangChain's hosted equivalent, with tighter LangGraph integration and self-hosting limited to the Enterprise plan. Braintrust focuses on evals and agent trace analysis as a hosted service with on-prem only at enterprise scale. Weights & Biases Weave covers LLM tracing inside a broader ML-experiment platform. Promptfoo is a local-first CLI for evals and red teaming rather than a tracing backend; it is often used together with Langfuse.",
		25	+ "categories": [{ "slug": "llm-ops", "primary": true }, { "slug": "monitoring-observability", "label": "Tracing backend for LLM applications" }],
		26	+ "tags": ["llm", "monitoring", "open-source", "self-hosted", "evaluation", "prompt-management", "python", "typescript"],
		27	+ "use_cases": ["evaluate-llm-apps", "monitor-services"],
		28	+ "operating_systems": ["web", "linux"],
		29	+ "execution_modes": ["self-hosted", "cloud"],
		30	+ "interfaces": ["web", "api", "sdk"],
		31	+ "deployment_models": ["saas", "on-premises"],
		32	+ "integrations": ["OpenTelemetry", "LangChain", "LlamaIndex", "LiteLLM", "OpenAI Agents SDK", "Pydantic AI", "CrewAI", "Claude Code", "ClickHouse", "PostgreSQL"],
		33	+ "data_formats": ["JSON", "OpenTelemetry (OTLP)"],
		34	+ "languages": ["Python", "TypeScript"],
		35	+ "source_model": "open-source",
		36	+ "license_spdx": "MIT",
		37	+ "pricing_model": ["open-source", "freemium", "paid", "enterprise"],
		38	+ "pricing_checked_at": "2026-11-02",
		39	+ "self_hostable": true,
		40	+ "sources": [
		41	+ { "url": "https://langfuse.com/", "type": "official_site", "title": "Langfuse", "supports": ["name", "summary", "capabilities", "integrations", "license_spdx"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://langfuse.com/docs", "type": "official_docs", "title": "Langfuse documentation", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		43	+ { "url": "https://github.com/langfuse/langfuse/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model", "vendor"], "checked_at": "2026-11-02", "note": "MIT Expat for all content outside ee/ directories; copyright ClickHouse, Inc." },
		44	+ { "url": "https://langfuse.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Hobby, Core, Pro, Enterprise cloud plans; self-hosting free" },
		45	+ { "url": "https://langfuse.com/blog/joining-clickhouse", "type": "news", "title": "Langfuse is joining ClickHouse", "supports": ["vendor"], "checked_at": "2026-11-02" }
		46	+ ],
		47	+ "confidence": "high",
		48	+ "discovery_method": "editorial-research",
		49	+ "depth": "deep",
		50	+ "editorial_status": "reviewed",
		51	+ "visibility": "public",
		52	+ "featured": false,
		53	+ "author": "batch-A"
		54	+}

added content/tools/langgraph.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "langgraph",
		3	+ "name": "LangGraph",
		4	+ "aliases": ["langgraph (PyPI)", "LangGraph.js", "LangGraph Platform (former deployment name)"],
		5	+ "vendor": { "name": "LangChain, Inc.", "slug": "langchain-inc", "website": "https://www.langchain.com" },
		6	+ "homepage_url": "https://www.langchain.com/langgraph",
		7	+ "docs_url": "https://docs.langchain.com/oss/python/langgraph/overview",
		8	+ "repo_url": "https://github.com/langchain-ai/langgraph",
		9	+ "pricing_url": "https://www.langchain.com/pricing",
		10	+ "license_url": "https://github.com/langchain-ai/langgraph/blob/main/LICENSE",
		11	+ "product_type": "framework",
		12	+ "product_status": "active",
		13	+ "summary": "Low-level orchestration framework and runtime for stateful, long-running agents expressed as graphs, with durable execution, checkpointing, human-in-the-loop and streaming",
		14	+ "description": "LangGraph is an MIT-licensed framework and runtime from LangChain, Inc. for building long-running, stateful agents. Rather than hiding the agent loop behind a prompt abstraction, it asks the developer to define a `StateGraph`: typed state, nodes that are ordinary functions or LLM calls, and edges (fixed or conditional) that connect them to `START` and `END` before `compile()` produces a runnable. This lets deterministic steps and model-driven steps live in one graph, and it can be used with or without the LangChain library. Python and JavaScript implementations are maintained in parallel.\n\nThe runtime is where most of the value sits. Checkpointers persist state after every step, so a run can survive a crash and resume where it stopped; the same mechanism provides time travel for debugging, short-term memory within a thread and long-term memory stores across threads. Interrupts pause execution so a human can inspect or edit state before approving a tool call, and streaming surfaces tokens, state updates and events as they happen. LangSmith adds tracing and a visual studio, and the hosted path, now called LangSmith Deployment (previously LangGraph Platform), runs graphs as managed services with cron scheduling, MCP exposure and an Assistants API; self-hosted and hybrid variants exist on the Enterprise plan.\n\nLangGraph suits workflows where reliability matters more than convenience: multi-step research agents, approval-gated automations and anything that must pause for hours. The cost is verbosity and a learning curve around state schemas and reducers, and production-grade persistence requires a database-backed checkpointer rather than the in-memory default.",
		15	+ "capabilities": ["Graph definition with typed state, nodes, conditional edges and subgraphs", "Durable execution with checkpointers and resumable runs", "Human-in-the-loop interrupts to review or edit state", "Short- and long-term memory stores", "Token, update and event streaming", "Python and JavaScript libraries usable without LangChain", "LangSmith tracing and studio; hosted LangSmith Deployment with cron, MCP and Assistants API", "Prebuilt agent helpers and the Deep Agents SDK built on top"],
		16	+ "workflows": ["Model an approval-gated automation that pauses for a human before side effects", "Build a multi-step research agent with persistent memory across sessions", "Deploy a graph as a managed service with scheduled runs", "Debug a failed run by replaying from a checkpoint"],
		17	+ "advantages": ["Explicit control flow instead of hidden prompts", "Persistence and interrupts are first-class", "Framework-agnostic model and tool usage", "MIT license with optional commercial hosting"],
		18	+ "limitations": ["More code than high-level agent frameworks", "In-memory checkpointer is not production-grade; a database backend is needed", "Deployment product has been renamed, which dates older tutorials", "Hosted features beyond the free tier require LangSmith plans"],
		19	+ "prerequisites": ["Python 3.10+ or Node.js", "A model provider or local runtime; a Postgres or SQLite checkpointer for durable runs"],
		20	+ "audiences": ["Engineers building production agents with reliability requirements", "Teams needing human approval steps in automations", "Researchers prototyping multi-agent workflows"],
		21	+ "alternatives": ["langchain", "pydantic-ai", "openai-agents-sdk", "crewai", "autogen"],
		22	+ "comparison_notes": "LangChain's create_agent is a higher-level harness that runs on LangGraph; use LangGraph directly when you need custom control flow. Pydantic AI emphasizes typed outputs and dependency injection and offers durable execution through Temporal or DBOS rather than its own checkpointer. The OpenAI Agents SDK is lighter and tied to OpenAI's Responses API by default. CrewAI models work as role-based crews and flows. AutoGen is archived and points users to Microsoft Agent Framework.",
		23	+ "categories": [{ "slug": "agent-frameworks", "primary": true }],
		24	+ "tags": ["agents", "llm", "open-source", "python", "typescript", "orchestration", "state-machines"],
		25	+ "use_cases": ["build-agents"],
		26	+ "operating_systems": ["macos", "linux", "windows"],
		27	+ "execution_modes": ["local", "self-hosted", "cloud"],
		28	+ "interfaces": ["library", "api"],
		29	+ "deployment_models": ["embedded", "saas", "hybrid", "on-premises"],
		30	+ "integrations": ["LangChain", "LangSmith", "PostgreSQL (checkpointer)", "SQLite (checkpointer)", "Model Context Protocol", "OpenAI", "Anthropic"],
		31	+ "data_formats": ["JSON"],
		32	+ "languages": ["Python", "TypeScript", "JavaScript"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "freemium", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.langchain.com/langgraph", "type": "official_site", "title": "LangGraph", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.langchain.com/oss/python/langgraph/overview", "type": "official_docs", "title": "LangGraph overview", "supports": ["capabilities", "deployment_models"], "checked_at": "2026-11-02", "note": "Refers to hosted deployment as LangSmith Deployment" },
		41	+ { "url": "https://github.com/langchain-ai/langgraph/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://www.langchain.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Developer, Plus and Enterprise plans cover LangSmith Deployment" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-A"
		51	+}

added content/tools/langsmith.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "langsmith",
		3	+ "name": "LangSmith",
		4	+ "aliases": ["smith.langchain.com", "LangSmith Deployment", "LangGraph Platform (former name of the deployment product)"],
		5	+ "vendor": { "name": "LangChain, Inc.", "slug": "langchain-inc", "website": "https://www.langchain.com" },
		6	+ "homepage_url": "https://www.langchain.com/langsmith/observability",
		7	+ "docs_url": "https://docs.langchain.com/langsmith/observability",
		8	+ "pricing_url": "https://www.langchain.com/pricing",
		9	+ "product_type": "platform",
		10	+ "product_status": "active",
		11	+ "summary": "LangChain's hosted platform for tracing, evaluating and deploying LLM applications and agents, with prompt tooling, an LLM gateway and cloud, hybrid or self-hosted options",
		12	+ "description": "LangSmith is the commercial platform from LangChain, Inc. for operating LLM applications. Its observability layer records traces of what agents did, groups them into threads, supports dashboards, alerts and feedback collection, and builds datasets from production runs. Evaluation covers offline experiments and online evaluators, annotation queues and automation rules, and the Prompt Hub and Playground handle prompt engineering. Newer components include Deployment (hosting LangGraph agents with scheduling, MCP exposure and an Assistants API; formerly LangGraph Platform), Engine (automated detection and diagnosis of recurring trace problems), Fleet (no-code agents), Sandboxes for agent-generated code and an LLM Gateway with cost controls and redaction that traces calls without SDK changes.\n\nTracing works with LangChain and LangGraph through environment variables but is not limited to them; OpenAI, Anthropic, CrewAI, Vercel AI SDK and Pydantic AI integrations are documented. Plans are Developer (free, single seat), Plus and Enterprise; cloud hosting is in US or EU regions, with hybrid (SaaS control plane, self-hosted data plane) and fully self-hosted deployments reserved for Enterprise. The platform is proprietary, so teams that need a free self-hosted tracing store usually compare it with Langfuse.",
		13	+ "capabilities": ["Tracing with threads, dashboards, alerts and feedback", "Offline and online evaluation, annotation queues and automation rules", "Prompt Hub and Playground", "Deployment of LangGraph agents with cron, MCP and Assistants API", "Engine for automated trace-issue diagnosis", "LLM Gateway with cost controls, fallbacks and PII redaction", "Cloud (US/EU), hybrid and self-hosted deployment on Enterprise"],
		14	+ "workflows": ["Trace a LangGraph agent during development with one environment variable", "Turn production failures into an evaluation dataset", "Deploy an agent as a managed endpoint with scheduled runs"],
		15	+ "advantages": ["Tightest integration with LangChain and LangGraph", "Observability, evals, prompts and deployment in one product", "Free Developer tier"],
		16	+ "limitations": ["Proprietary; self-hosting only on Enterprise", "Usage metered by traces and platform units", "Product renames (LangGraph Platform to LangSmith Deployment) date older docs"],
		17	+ "prerequisites": ["LangSmith account and API key", "Application instrumented via LangChain, an SDK or the gateway"],
		18	+ "audiences": ["Teams building on LangChain and LangGraph", "Organizations wanting a managed agent-hosting and observability stack"],
		19	+ "alternatives": ["langfuse", "braintrust", "weights-and-biases", "promptfoo"],
		20	+ "categories": [{ "slug": "llm-ops", "primary": true }],
		21	+ "tags": ["llm", "monitoring", "evaluation", "agents", "prompt-management"],
		22	+ "use_cases": ["evaluate-llm-apps", "monitor-services", "build-agents"],
		23	+ "operating_systems": ["web"],
		24	+ "execution_modes": ["cloud", "self-hosted"],
		25	+ "interfaces": ["web", "api", "sdk"],
		26	+ "deployment_models": ["saas", "hybrid", "on-premises"],
		27	+ "integrations": ["LangChain", "LangGraph", "OpenAI", "Anthropic", "CrewAI", "Vercel AI SDK", "Pydantic AI", "OpenTelemetry"],
		28	+ "data_formats": ["JSON"],
		29	+ "languages": ["Python", "TypeScript"],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid", "enterprise"],
		32	+ "pricing_checked_at": "2026-11-02",
		33	+ "self_hostable": true,
		34	+ "sources": [
		35	+ { "url": "https://www.langchain.com/langsmith/observability", "type": "official_site", "title": "LangSmith Observability", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://docs.langchain.com/langsmith/observability", "type": "official_docs", "title": "LangSmith documentation", "supports": ["capabilities", "integrations", "deployment_models"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.langchain.com/pricing", "type": "pricing_page", "supports": ["pricing_model", "deployment_models"], "checked_at": "2026-11-02", "note": "Developer, Plus, Enterprise; cloud US/EU, hybrid and self-hosted" }
		38	+ ],
		39	+ "confidence": "high",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-A"
		46	+}

added content/tools/launchd.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "launchd",
		3	+ "name": "launchd",
		4	+ "aliases": ["launchctl", "LaunchAgents", "LaunchDaemons"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/library/archive/documentation/MacOSX/Conceptual/BPSystemStartup/Chapters/Introduction.html",
		7	+ "docs_url": "https://developer.apple.com/library/archive/documentation/MacOSX/Conceptual/BPSystemStartup/Chapters/CreatingLaunchdJobs.html",
		8	+ "product_type": "service",
		9	+ "product_status": "active",
		10	+ "summary": "macOS's built-in service manager that starts, supervises and schedules daemons and per-user agents from property-list job definitions",
		11	+ "description": "launchd is the init and service-management system of macOS, the first process started by the kernel and the component responsible for launching every daemon, agent and scheduled job on the system. Apple documents it in the Daemons and Services Programming Guide (now in the Documentation Archive) and in the `launchd` and `launchd.plist` manual pages; the `launchctl` command loads, unloads, starts and inspects jobs.\n\nA job is described by an XML property list placed in one of a few directories: `/Library/LaunchDaemons` for system-level daemons that run as root or a configured user regardless of who is logged in, and `/Library/LaunchAgents` or `~/Library/LaunchAgents` for per-user agents that start at login. Keys such as `Label`, `ProgramArguments`, `RunAtLoad`, `KeepAlive`, `StartInterval`, `StartCalendarInterval`, `WatchPaths` and `Sockets` define when the job runs and whether launchd should restart it. Because launchd owns the sockets and relaunches crashed processes, programs written for it should not daemonize themselves.\n\nOn a Mac used as a server or cluster node, launchd is what keeps long-running services alive across reboots: Homebrew's `brew services`, PM2's `pm2 startup` and many monitoring agents simply generate launchd plists. Daemons are the right choice on machines without a graphical login session; agents are needed when a job must interact with the user's session.\n\nCaveats: the plist format is verbose and error-prone, debugging relies on `launchctl print` and log files rather than a friendly UI, the `launchctl` syntax changed between the legacy `load`/`unload` and the newer `bootstrap`/`bootout` domain-based commands, and Apple's conceptual guide has not been updated since 2016.",
		12	+ "capabilities": ["Launch at boot (daemons) or at login (agents)", "Keep-alive supervision and automatic restart", "Interval and calendar scheduling without cron", "Path and directory watching triggers", "Socket activation with on-demand launch", "Per-job environment, user, working directory and stdout/stderr redirection"],
		13	+ "workflows": ["Keep a Node or Python service running on a headless Mac Studio", "Run a nightly backup script with StartCalendarInterval", "Start a process whenever files land in a watched folder", "Replace a user cron job with a LaunchAgent"],
		14	+ "advantages": ["Built into every macOS install; nothing to add", "Survives reboots and crashes without external supervisors", "Single mechanism for scheduling, supervision and socket activation"],
		15	+ "limitations": ["Verbose XML plists and opaque error messages", "Two generations of launchctl syntax cause confusion", "Agents need a logged-in session; daemons cannot touch the GUI", "Official conceptual documentation is archived and dated"],
		16	+ "prerequisites": ["macOS", "Administrator rights for system-level daemons"],
		17	+ "audiences": ["macOS administrators and power users", "Developers deploying services on Mac servers", "Anyone replacing cron on a Mac"],
		18	+ "alternatives": ["pm2", "docker", "ansible"],
		19	+ "comparison_notes": "PM2 is a user-space process manager for Node (and other) applications with a friendlier CLI, log handling and clustering; on macOS it ultimately registers itself with launchd to survive reboots, so the two are layered rather than exclusive. Docker supervises processes inside containers and restarts them by policy, which isolates dependencies but adds a VM layer on macOS. Ansible can write launchd plists across a fleet but is a configuration tool, not a supervisor. Compared with cron, launchd adds supervision and event triggers and is what Apple maintains going forward.",
		20	+ "categories": [{ "slug": "macos-automation", "primary": true }, { "slug": "infrastructure-provisioning" }],
		21	+ "tags": ["macos", "process-supervision", "scheduling", "daemons", "cli", "apple"],
		22	+ "use_cases": ["monitor-services", "host-web-apps", "schedule-jobs"],
		23	+ "operating_systems": ["macos"],
		24	+ "execution_modes": ["local"],
		25	+ "interfaces": ["cli"],
		26	+ "deployment_models": ["desktop", "on-premises"],
		27	+ "integrations": ["Homebrew services", "PM2 startup", "Shortcuts and Automator (via scripts)"],
		28	+ "data_formats": ["XML property lists (.plist)"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["free"],
		32	+ "self_hostable": true,
		33	+ "sources": [
		34	+ { "url": "https://developer.apple.com/library/archive/documentation/MacOSX/Conceptual/BPSystemStartup/Chapters/Introduction.html", "type": "official_site", "title": "Daemons and Services Programming Guide – Introduction", "supports": ["name", "summary", "description"], "checked_at": "2026-11-02", "note": "Apple Documentation Archive; last updated 2016" },
		35	+ { "url": "https://developer.apple.com/library/archive/documentation/MacOSX/Conceptual/BPSystemStartup/Chapters/CreatingLaunchdJobs.html", "type": "official_docs", "title": "Creating Launch Daemons and Agents", "supports": ["capabilities", "workflows", "limitations"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://support.apple.com/guide/terminal/script-management-with-launchd-apdc6c1077b-5d5d-4d35-9c19-60f2397b2369/mac", "type": "official_docs", "title": "Script management with launchd in Terminal on Mac", "supports": ["capabilities", "workflows"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "high",
		39	+ "uncertainty_note": "Apple's conceptual guide is archived (2016). Current behavior of launchctl subcommands is documented only in the manual pages shipped with macOS.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "deep",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-C"
		46	+}

added content/tools/leaflet.json +155 −0

				@@ -0,0 +1,155 @@
		1	+{
		2	+ "slug": "leaflet",
		3	+ "name": "Leaflet",
		4	+ "aliases": [
		5	+ "Leaflet.js"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Volodymyr Agafonkin and contributors",
		9	+ "slug": "leaflet",
		10	+ "website": "https://leafletjs.com"
		11	+ },
		12	+ "homepage_url": "https://leafletjs.com/",
		13	+ "docs_url": "https://leafletjs.com/reference.html",
		14	+ "repo_url": "https://github.com/Leaflet/Leaflet",
		15	+ "license_url": "https://github.com/Leaflet/Leaflet/blob/main/LICENSE",
		16	+ "product_type": "library",
		17	+ "product_status": "active",
		18	+ "summary": "Lightweight open-source JavaScript library for interactive tile-based web maps with markers, vector layers and a large plugin ecosystem",
		19	+ "description": "Leaflet is an open-source JavaScript library for building interactive maps in the browser, created by Volodymyr Agafonkin and maintained by a community of contributors. It renders raster tile layers from any XYZ or WMS source, draws markers, popups, polylines, polygons and GeoJSON overlays, and handles touch and keyboard interaction with a small footprint and no dependencies. Hundreds of plugins add clustering, heatmaps, drawing, routing and vector-tile support, and wrappers exist for React, Vue and Python (Folium, ipyleaflet). It is the common choice for dashboards and research pages that need an OSM base map with a few overlays. Leaflet does not include map data or tile hosting, renders raster tiles rather than styled vector tiles by default, and depends on plugins for 3D, rotation and heavy vector workloads.",
		20	+ "capabilities": [
		21	+ "Raster tile layers from XYZ and WMS sources",
		22	+ "Markers, popups, vector shapes and GeoJSON layers",
		23	+ "Mobile-friendly touch and keyboard interaction",
		24	+ "Plugin ecosystem for clustering, drawing, heatmaps and vector tiles",
		25	+ "Framework wrappers for React, Vue and Python"
		26	+ ],
		27	+ "workflows": [
		28	+ "Embed an OSM base map with clustered property markers in a web page",
		29	+ "Render GeoPandas output as an interactive map through Folium"
		30	+ ],
		31	+ "advantages": [
		32	+ "Small, dependency-free and BSD-licensed",
		33	+ "Works with any tile provider",
		34	+ "Large plugin and tutorial base"
		35	+ ],
		36	+ "limitations": [
		37	+ "Raster-first; vector tiles and rotation need plugins",
		38	+ "No bundled data or tile hosting",
		39	+ "Less suited to heavy client-side vector rendering"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "A tile source such as OSM-derived tiles or a commercial provider"
		43	+ ],
		44	+ "audiences": [
		45	+ "Web developers",
		46	+ "Researchers publishing interactive maps"
		47	+ ],
		48	+ "alternatives": [
		49	+ "maplibre",
		50	+ "mapbox",
		51	+ "google-maps-platform"
		52	+ ],
		53	+ "comparison_notes": "MapLibre GL renders vector tiles with WebGL and supports rotation and 3D, at the cost of a heavier runtime; Leaflet is simpler for raster tiles and overlays. Mapbox and Google Maps Platform are hosted services with their own SDKs and metered pricing.",
		54	+ "categories": [
		55	+ {
		56	+ "slug": "gis-mapping",
		57	+ "primary": true
		58	+ },
		59	+ {
		60	+ "slug": "web-frameworks"
		61	+ }
		62	+ ],
		63	+ "tags": [
		64	+ "maps",
		65	+ "javascript",
		66	+ "open-source",
		67	+ "web",
		68	+ "gis"
		69	+ ],
		70	+ "use_cases": [
		71	+ "map-geodata"
		72	+ ],
		73	+ "operating_systems": [
		74	+ "web"
		75	+ ],
		76	+ "execution_modes": [
		77	+ "local"
		78	+ ],
		79	+ "interfaces": [
		80	+ "library"
		81	+ ],
		82	+ "deployment_models": [
		83	+ "embedded"
		84	+ ],
		85	+ "integrations": [
		86	+ "OpenStreetMap tiles",
		87	+ "React Leaflet",
		88	+ "Folium",
		89	+ "ipyleaflet",
		90	+ "GeoJSON"
		91	+ ],
		92	+ "data_formats": [
		93	+ "GeoJSON",
		94	+ "XYZ tiles",
		95	+ "WMS"
		96	+ ],
		97	+ "languages": [
		98	+ "JavaScript"
		99	+ ],
		100	+ "source_model": "open-source",
		101	+ "license_spdx": "BSD-2-Clause",
		102	+ "pricing_model": [
		103	+ "open-source",
		104	+ "free"
		105	+ ],
		106	+ "self_hostable": true,
		107	+ "sources": [
		108	+ {
		109	+ "url": "https://leafletjs.com/",
		110	+ "type": "official_site",
		111	+ "supports": [
		112	+ "name",
		113	+ "summary"
		114	+ ],
		115	+ "checked_at": "2026-11-02",
		116	+ "title": "Leaflet"
		117	+ },
		118	+ {
		119	+ "url": "https://leafletjs.com/reference.html",
		120	+ "type": "official_docs",
		121	+ "supports": [
		122	+ "capabilities"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "Leaflet API reference"
		126	+ },
		127	+ {
		128	+ "url": "https://github.com/Leaflet/Leaflet/blob/main/LICENSE",
		129	+ "type": "license_page",
		130	+ "supports": [
		131	+ "license_spdx",
		132	+ "source_model"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "LICENSE (BSD 2-Clause)"
		136	+ },
		137	+ {
		138	+ "url": "https://leafletjs.com/plugins.html",
		139	+ "type": "official_docs",
		140	+ "supports": [
		141	+ "capabilities",
		142	+ "integrations"
		143	+ ],
		144	+ "checked_at": "2026-11-02",
		145	+ "title": "Leaflet plugins"
		146	+ }
		147	+ ],
		148	+ "confidence": "high",
		149	+ "depth": "standard",
		150	+ "featured": false,
		151	+ "discovery_method": "editorial-research",
		152	+ "editorial_status": "reviewed",
		153	+ "visibility": "public",
		154	+ "author": "batch-F"
		155	+}

added content/tools/lean-theorem-prover.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "lean-theorem-prover",
		3	+ "name": "Lean",
		4	+ "aliases": ["Lean 4", "Lean theorem prover", "Lean prover"],
		5	+ "vendor": { "name": "Lean FRO", "slug": "lean-fro", "website": "https://lean-lang.org" },
		6	+ "homepage_url": "https://lean-lang.org/",
		7	+ "docs_url": "https://lean-lang.org/learn/",
		8	+ "repo_url": "https://github.com/leanprover/lean4",
		9	+ "license_url": "https://github.com/leanprover/lean4/blob/master/LICENSE",
		10	+ "product_type": "language",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source functional programming language and interactive theorem prover with dependent types, the Mathlib mathematics library and VS Code tooling, stewarded by the Lean FRO",
		13	+ "description": "Lean is an open-source programming language and proof assistant whose dependent type system lets users state mathematical theorems or software specifications and check proofs mechanically. Lean 4, released under the Apache 2.0 license, compiles to native code and is developed with support from the Lean Focused Research Organization (Lean FRO), which funds core development, documentation and community infrastructure. The community-maintained Mathlib library formalizes a large body of undergraduate and research mathematics across algebra, analysis, topology, probability and computer science, and tools such as Loogle (search), Verso (documentation) and the VS Code extension with live goal display make interactive proving practical.\n\nLean is used by mathematicians formalizing results, by computer scientists verifying programs and increasingly as a target for AI systems that generate machine-checkable proofs. It runs on Linux, macOS and Windows and is installed through the elan toolchain manager, with Lake as the build system. The learning curve is steep, Mathlib's conventions take time to absorb, and formalization of a new result typically takes much longer than the informal proof, so it suits projects where machine-checked certainty is worth the cost.",
		14	+ "capabilities": ["Dependent type theory for theorems and specifications", "Interactive proving with live goal display in VS Code", "Mathlib library of formalized mathematics", "Compilation of Lean programs to native code", "Lake build system and elan toolchain manager", "Metaprogramming and tactic framework", "Search (Loogle) and documentation (Verso) tooling"],
		15	+ "workflows": ["Formalizing a theorem against Mathlib", "Verifying properties of an algorithm", "Checking AI-generated proofs mechanically"],
		16	+ "advantages": ["Apache-2.0 open source with dedicated FRO support", "Largest active formal mathematics library", "Serves as both language and prover"],
		17	+ "limitations": ["Steep learning curve", "Formalization is slow relative to informal proof", "Smaller general-purpose software ecosystem than mainstream languages"],
		18	+ "prerequisites": ["elan toolchain installer", "VS Code with the Lean 4 extension (recommended)"],
		19	+ "audiences": ["Mathematicians formalizing results", "Researchers in verification and AI for math", "Students of type theory"],
		20	+ "alternatives": ["sympy", "mathematica", "rust", "julia"],
		21	+ "comparison_notes": "SymPy and Mathematica compute with symbolic expressions but do not produce machine-checked proofs; Coq, Isabelle and Agda (not recorded) are the closest proof-assistant peers. Rust and Julia are general-purpose languages without dependent types.",
		22	+ "categories": [{ "slug": "math-stats-tools", "primary": true }, { "slug": "programming-languages" }],
		23	+ "tags": ["theorem-proving", "formal-methods", "open-source", "functional-programming"],
		24	+ "use_cases": ["write-papers"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["cli", "ide-extension", "web"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["VS Code", "Mathlib", "Lake", "elan", "Loogle"],
		30	+ "data_formats": ["Lean source (.lean)", "Lake manifests"],
		31	+ "languages": ["Lean", "C++ (runtime)"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://lean-lang.org/", "type": "official_site", "title": "Lean Programming Language", "supports": ["name", "summary", "vendor", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/leanprover/lean4", "type": "repository", "title": "leanprover/lean4", "supports": ["repo_url", "docs_url"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/leanprover/lean4/blob/master/LICENSE", "type": "license_page", "title": "lean4 LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/leanprover-community/mathlib4", "type": "repository", "title": "leanprover-community/mathlib4", "supports": ["capabilities"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/lets-encrypt.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "lets-encrypt",
		3	+ "name": "Let's Encrypt",
		4	+ "aliases": ["Let’s Encrypt", "ISRG CA"],
		5	+ "vendor": { "name": "Internet Security Research Group (ISRG)", "slug": "isrg", "website": "https://www.abetterinternet.org" },
		6	+ "homepage_url": "https://letsencrypt.org/",
		7	+ "docs_url": "https://letsencrypt.org/docs/",
		8	+ "repo_url": "https://github.com/letsencrypt/boulder",
		9	+ "privacy_url": "https://letsencrypt.org/privacy/",
		10	+ "product_type": "service",
		11	+ "product_status": "active",
		12	+ "summary": "Nonprofit certificate authority that issues free, automatically renewable TLS certificates through the ACME protocol",
		13	+ "description": "Let's Encrypt is a certificate authority operated by the Internet Security Research Group, a nonprofit. It issues domain-validated TLS certificates at no charge and exclusively through automation: a client speaking the ACME protocol proves control of a domain by answering an HTTP, DNS or TLS-ALPN challenge, receives a certificate, and repeats the process before expiry. Certificates are deliberately short-lived so that renewal is scripted rather than remembered, and the CA has been moving toward even shorter lifetimes and additional certificate profiles.\n\nFor most operators Let's Encrypt is invisible: Caddy, Traefik, certbot, acme.sh and the ACME integrations in hosting platforms and tunnel gateways request and renew certificates automatically. Wildcard certificates are available through the DNS challenge, which requires API access to the zone, and the staging environment lets administrators test configurations against generous limits. The issuing software, Boulder, is open source under MPL-2.0, and all issued certificates appear in public Certificate Transparency logs.\n\nIts constraints are part of the design. Only domain validation is offered, so organization-validated or extended-validation certificates must come from a commercial CA. Rate limits apply per registered domain and are documented; hosts must be reachable on the public internet or have DNS API credentials for challenges; and the short validity means a broken renewal job becomes an outage within weeks. Operators of private or internal hostnames generally pair Let's Encrypt with a DNS challenge or use an internal CA.",
		14	+ "capabilities": ["Free domain-validated TLS certificates for public hostnames", "ACME protocol with HTTP-01, DNS-01 and TLS-ALPN-01 challenges", "Wildcard certificates via DNS validation", "Staging environment for testing automation", "Certificate Transparency logging of all issuance", "Open-source CA software (Boulder)"],
		15	+ "workflows": ["Let a reverse proxy such as Caddy or Traefik obtain and renew certificates automatically", "Use certbot or acme.sh with a web server that lacks built-in ACME", "Issue a wildcard certificate through a DNS provider API", "Validate a new setup against the staging endpoint before production"],
		16	+ "advantages": ["No cost and no manual renewal when automation is in place", "Supported by practically every web server, proxy and hosting platform", "Transparent operations with public incident reporting", "Nonprofit governance"],
		17	+ "limitations": ["Domain validation only; no OV or EV certificates", "Rate limits per registered domain", "Requires public reachability or DNS API access for challenges", "Short certificate lifetimes make broken automation visible quickly"],
		18	+ "prerequisites": ["A public domain name", "An ACME client or a server with built-in ACME support"],
		19	+ "audiences": ["Anyone operating a public website or API", "Self-hosters and small infrastructure teams", "Hosting and platform providers"],
		20	+ "alternatives": ["cloudflare", "caddy", "godaddy"],
		21	+ "comparison_notes": "Cloudflare provides edge certificates automatically when traffic is proxied through its network and also offers origin certificates for the backend hop; Let's Encrypt gives the operator a publicly trusted certificate directly on the origin. Caddy is not a CA but the most common client that uses Let's Encrypt (and ZeroSSL) transparently. Commercial registrars such as GoDaddy sell paid certificates including OV and EV types, which Let's Encrypt does not issue.",
		22	+ "categories": [{ "slug": "dns-domains", "primary": true, "label": "Certificate authority" }, { "slug": "reverse-proxies-web-servers" }],
		23	+ "tags": ["tls", "certificates", "acme", "nonprofit", "open-source", "security"],
		24	+ "use_cases": ["terminate-tls", "host-web-apps"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["api", "cli"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["Caddy", "Traefik", "certbot", "acme.sh", "NGINX", "Cloudflare DNS"],
		30	+ "data_formats": ["X.509", "PEM"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MPL-2.0",
		34	+ "pricing_model": ["free"],
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://letsencrypt.org/", "type": "official_site", "title": "Let's Encrypt", "supports": ["name", "summary", "vendor", "pricing_model"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://letsencrypt.org/docs/", "type": "official_docs", "title": "Let's Encrypt Documentation", "supports": ["capabilities", "limitations", "workflows"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/letsencrypt/boulder", "type": "repository", "title": "letsencrypt/boulder", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "LICENSE.txt is Mozilla Public License 2.0." },
		40	+ { "url": "https://letsencrypt.org/privacy/", "type": "policy_page", "title": "Let's Encrypt Privacy Policy", "supports": ["privacy_url"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "uncertainty_note": "license_spdx applies to the Boulder CA software; the CA itself is a service.",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "deep",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-B2"
		50	+}

added content/tools/linearmodels.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "linearmodels",
		3	+ "name": "linearmodels",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Kevin Sheppard", "slug": "kevin-sheppard", "website": "https://bashtage.github.io/linearmodels/" },
		6	+ "homepage_url": "https://bashtage.github.io/linearmodels/",
		7	+ "docs_url": "https://bashtage.github.io/linearmodels/",
		8	+ "repo_url": "https://github.com/bashtage/linearmodels",
		9	+ "license_url": "https://github.com/bashtage/linearmodels/blob/main/LICENSE.md",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python package by Kevin Sheppard adding panel data, instrumental-variable, system (SUR/3SLS) and asset-pricing estimators missing from statsmodels",
		13	+ "description": "linearmodels is a Python library by Kevin Sheppard that fills the gaps in statsmodels for applied econometrics and empirical finance. Its panel module offers pooled OLS, fixed effects (PanelOLS with entity, time and other effects), random effects, between, first-difference and Fama-MacBeth estimators plus AbsorbingLS for high-dimensional effects; the IV module provides 2SLS, LIML, GMM, continuously updated GMM and JIVE with weak-identification and specification tests; system estimation covers SUR, 3SLS and system GMM; and the asset-pricing module implements two-step and GMM linear factor models and a SUR model for traded factors. Clustered, heteroskedasticity-robust and kernel covariance estimators are available throughout, with formula interfaces and pandas MultiIndex panels as inputs.\n\nThe package is released under the University of Illinois/NCSA license, follows statsmodels conventions and prints comparable summary tables. Version 7.1 is current at the time of writing. It is single-machine and does not cover nonlinear panel models or dynamic panel GMM (Arellano-Bond), for which R or Stata remain more complete.",
		14	+ "capabilities": ["Panel estimators: pooled, fixed, random, between, first-difference, Fama-MacBeth", "AbsorbingLS for high-dimensional fixed effects", "IV: 2SLS, LIML, GMM, CUE-GMM, JIVE with diagnostics", "System estimation: SUR, 3SLS, system GMM", "Linear factor asset-pricing models", "Clustered and robust covariance estimators", "Formula interface and pandas MultiIndex panels"],
		15	+ "workflows": ["Two-way fixed-effects panel regression with clustered errors", "Fama-MacBeth cross-sectional asset-pricing tests", "IV estimation with weak-instrument diagnostics"],
		16	+ "advantages": ["Covers estimators statsmodels lacks", "Consistent with pandas and statsmodels conventions", "Permissive NCSA licence"],
		17	+ "limitations": ["No dynamic panel GMM (Arellano-Bond)", "Linear models only", "Smaller community than statsmodels"],
		18	+ "prerequisites": ["Python with NumPy, pandas and statsmodels"],
		19	+ "audiences": ["Empirical finance researchers", "Applied econometricians working in Python"],
		20	+ "alternatives": ["statsmodels", "fixest", "arch", "stata"],
		21	+ "comparison_notes": "statsmodels covers general regression and time series but not panel IV or system models; fixest in R is faster for many-level fixed effects and includes event-study tooling; arch, by the same author, addresses volatility and bootstrap methods.",
		22	+ "categories": [{ "slug": "econometrics-causal-inference", "primary": true }, { "slug": "hf-finance-research" }],
		23	+ "tags": ["python", "econometrics", "panel-data", "open-source"],
		24	+ "use_cases": ["estimate-causal-effects", "write-papers"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["pandas", "NumPy", "statsmodels", "formulaic"],
		30	+ "data_formats": ["pandas DataFrame (MultiIndex)", "NumPy arrays", "xarray"],
		31	+ "languages": ["Python", "Cython"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "NCSA",
		34	+ "pricing_model": ["free", "open-source"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://bashtage.github.io/linearmodels/", "type": "official_site", "title": "linearmodels 7.1", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/bashtage/linearmodels", "type": "repository", "title": "bashtage/linearmodels", "supports": ["repo_url"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/bashtage/linearmodels/blob/main/LICENSE.md", "type": "license_page", "title": "linearmodels LICENSE.md", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "University of Illinois/NCSA Open Source License text" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-E"
		48	+}

added content/tools/litellm.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "litellm",
		3	+ "name": "LiteLLM",
		4	+ "aliases": ["litellm (PyPI)", "LiteLLM Proxy", "LiteLLM AI Gateway"],
		5	+ "vendor": { "name": "BerriAI", "slug": "berriai", "website": "https://www.litellm.ai" },
		6	+ "homepage_url": "https://www.litellm.ai/",
		7	+ "docs_url": "https://docs.litellm.ai/docs/",
		8	+ "repo_url": "https://github.com/BerriAI/litellm",
		9	+ "pricing_url": "https://www.litellm.ai/pricing",
		10	+ "license_url": "https://github.com/BerriAI/litellm/blob/main/LICENSE",
		11	+ "product_type": "library",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source Python SDK and self-hosted AI gateway that calls 100+ LLM providers in the OpenAI format, with routing, fallbacks, virtual keys, budgets, spend tracking and logging callbacks",
		14	+ "description": "LiteLLM, from BerriAI, is an open-source project with two faces. The Python SDK offers one `completion()` interface that translates OpenAI-format requests to more than a hundred providers (OpenAI, Anthropic, Google, Bedrock, Azure, Mistral, Ollama, vLLM and many more), normalizes responses and exceptions, supports streaming and includes a Router for retries, fallbacks and load balancing across deployments. Callbacks forward inputs, outputs and computed cost to observability tools such as Langfuse, MLflow and Helicone.\n\nThe Proxy, also called the AI Gateway, packages the same translation layer as an OpenAI-compatible server for a whole organization: virtual API keys with per-key, per-team and per-user budgets, spend tracking across providers, caching, centralized logging, guardrails for content filtering and PII masking, an admin UI, an MCP gateway for tools and an agent gateway for A2A traffic, plus an auto-router that picks a model per request. A Rust-based gateway core is in beta. The core is MIT-licensed; an `enterprise/` directory under a separate license adds SSO/SAML, audit logs and multi-team management, sold as an enterprise offering. Deployment is Docker or CLI with a database for keys and spend.\n\nLiteLLM is the common answer when several teams need governed access to many providers from one internal endpoint, or when an application must stay provider-portable. Running the proxy adds operational components and a hop in the request path, provider-specific features are sometimes exposed with a lag, and the pace of releases means pinning versions in production.",
		15	+ "capabilities": ["Unified OpenAI-format `completion()` across 100+ providers", "Router with retries, fallbacks and load balancing", "OpenAI-compatible proxy server with virtual keys and budgets", "Spend tracking, caching and centralized logging", "Guardrails for content filtering and PII masking", "Callbacks to Langfuse, MLflow, Helicone and other observability tools", "MCP gateway, agent (A2A) gateway and auto-router", "Admin UI; Docker and CLI deployment; enterprise SSO and audit logs"],
		16	+ "workflows": ["Give each team a virtual key with a monthly budget on a shared gateway", "Fall back from one provider to another during an outage", "Keep an application portable by coding against the OpenAI format only", "Forward every call's cost to Langfuse for analysis"],
		17	+ "advantages": ["Very broad provider coverage", "MIT core with self-hosting", "Governance features (keys, budgets, logging) in one place", "Works as a library or as infrastructure"],
		18	+ "limitations": ["Proxy adds latency and operational components", "Enterprise features are separately licensed", "Provider feature parity can lag new releases", "Fast release cadence requires version pinning"],
		19	+ "prerequisites": ["Python 3.8+ for the SDK; Docker and a Postgres database for the proxy", "Provider API keys"],
		20	+ "audiences": ["Platform teams offering LLM access internally", "Developers who need provider portability", "Organizations tracking LLM spend per team"],
		21	+ "alternatives": ["openrouter", "langchain", "openai-platform", "langfuse"],
		22	+ "comparison_notes": "OpenRouter provides a similar unified API as a hosted service with its own billing, whereas LiteLLM is self-hosted software you run with your own provider keys. LangChain's model interface also abstracts providers but inside an application framework rather than as a gateway. Langfuse is complementary: LiteLLM commonly forwards traces and costs to it.",
		23	+ "categories": [{ "slug": "llm-ops", "primary": true }, { "slug": "model-providers", "label": "Gateway in front of many providers" }],
		24	+ "tags": ["llm", "api", "gateway", "open-source", "self-hosted", "python", "routing", "cost-tracking"],
		25	+ "use_cases": ["build-agents", "monitor-services", "serve-models"],
		26	+ "operating_systems": ["macos", "linux", "windows"],
		27	+ "execution_modes": ["local", "self-hosted"],
		28	+ "interfaces": ["library", "api", "cli", "web"],
		29	+ "deployment_models": ["embedded", "on-premises"],
		30	+ "integrations": ["OpenAI", "Anthropic", "Google Gemini", "Amazon Bedrock", "Azure OpenAI", "Mistral", "Ollama", "vLLM", "Langfuse", "MLflow", "PostgreSQL", "Redis", "Docker"],
		31	+ "data_formats": ["JSON", "YAML (proxy config)"],
		32	+ "languages": ["Python", "Rust (gateway core, beta)"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.litellm.ai/", "type": "official_site", "title": "LiteLLM", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.litellm.ai/docs/", "type": "official_docs", "title": "LiteLLM documentation", "supports": ["capabilities", "integrations", "interfaces"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/BerriAI/litellm/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "MIT outside the enterprise/ directory, which has its own license" },
		42	+ { "url": "https://www.litellm.ai/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "deep",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-A"
		51	+}

added content/tools/llama-cpp.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "llama-cpp",
		3	+ "name": "llama.cpp",
		4	+ "aliases": ["llama-cpp", "ggml", "llama-server"],
		5	+ "vendor": { "name": "ggml-org (Georgi Gerganov and contributors)", "slug": "ggml-org", "website": "https://github.com/ggml-org" },
		6	+ "homepage_url": "https://github.com/ggml-org/llama.cpp",
		7	+ "docs_url": "https://github.com/ggml-org/llama.cpp",
		8	+ "repo_url": "https://github.com/ggml-org/llama.cpp",
		9	+ "license_url": "https://github.com/ggml-org/llama.cpp/blob/master/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "C/C++ inference engine for LLMs and vision-language models with GGUF quantized weights, Metal, CUDA, Vulkan and other backends, a CLI and an OpenAI-compatible server",
		13	+ "description": "llama.cpp is an MIT-licensed C/C++ engine for running large language models, and increasingly vision-language models, on commodity hardware. It began in 2023 as a port of Meta's LLaMA to Apple Silicon and grew into the reference implementation behind the GGUF file format and the GGML tensor library; the repository moved from ggerganov to the ggml-org organization. Models are converted from Hugging Face checkpoints with the bundled `convert_hf_to_gguf.py` script and quantized to integer formats from 1.5 to 8 bits, which lets multi-billion-parameter models fit in laptop memory.\n\nHardware coverage is unusually wide: ARM NEON, Accelerate and Metal on Apple Silicon; AVX variants and AMX on x86; CUDA, HIP, MUSA, Vulkan, SYCL, OpenCL, WebGPU, CANN and other accelerators; plus hybrid CPU-GPU offload when a model exceeds VRAM. The project ships a CLI (`llama cli`) that can download models directly from Hugging Face, a `completion` tool with GBNF grammar-constrained output, and `llama-server`, an OpenAI-compatible HTTP server with a built-in web UI. Installation is a script, Docker image, prebuilt release or source build, and bindings exist in the wider ecosystem for Python, Go, Rust, Node and others.\n\nllama.cpp is the engine inside Ollama, LM Studio and many other front ends, so it is the layer to reach for when you need the newest model architectures, fine-grained control of quantization and sampling, or a minimal dependency footprint on a server. Its limits are that it is a single-node engine optimized for latency on one or a few requests rather than for high-concurrency batching, that model support depends on community conversion work, and that the fast release cadence occasionally changes CLI flags and file layouts.",
		14	+ "capabilities": ["GGUF model format with integer quantization from 1.5- to 8-bit", "Backends for Metal, CUDA, HIP, Vulkan, SYCL, OpenCL, WebGPU and CPU SIMD", "Hybrid CPU+GPU offload for models larger than VRAM", "`llama-server` OpenAI-compatible API with web UI", "CLI with direct Hugging Face downloads and grammar-constrained generation", "Multimodal (vision-language) inference", "Conversion scripts from Hugging Face checkpoints", "Speculative decoding and KV-cache controls"],
		15	+ "workflows": ["Convert and quantize a Hugging Face model to GGUF for a Mac Studio", "Run `llama-server` as a local OpenAI-compatible endpoint for an application", "Benchmark quantization levels against quality on a given machine", "Embed the C API inside a native application"],
		16	+ "advantages": ["Minimal dependencies and portable C/C++ codebase", "Fastest adoption of new open-weight architectures", "Runs on hardware from Raspberry Pi to multi-GPU servers", "Permissive MIT license"],
		17	+ "limitations": ["Not designed for high-concurrency serving", "Requires model conversion to GGUF", "Frequent breaking changes in CLI and build options", "Quality loss at aggressive quantization levels"],
		18	+ "prerequisites": ["C/C++ toolchain or a prebuilt release; GPU drivers for accelerated backends", "Python for conversion scripts"],
		19	+ "audiences": ["Developers embedding local inference", "Researchers experimenting with quantization", "Operators of edge and on-premises inference"],
		20	+ "alternatives": ["ollama", "lm-studio", "vllm", "mlx-lm"],
		21	+ "comparison_notes": "Ollama and LM Studio wrap llama.cpp with model management and friendlier interfaces, trading control for convenience. vLLM is the server-grade alternative with PagedAttention and continuous batching for many concurrent users on data-center GPUs. mlx-lm is Apple's framework-native option on Apple Silicon and uses its own weight format instead of GGUF.",
		22	+ "categories": [{ "slug": "local-inference", "primary": true }, { "slug": "apple-silicon-ml", "label": "Metal backend and origin on Apple Silicon" }],
		23	+ "tags": ["llm", "open-source", "self-hosted", "cli", "api", "apple-silicon", "quantization", "gguf"],
		24	+ "use_cases": ["run-local-models", "serve-models"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli", "api", "library"],
		28	+ "deployment_models": ["embedded", "on-premises"],
		29	+ "integrations": ["Ollama", "LM Studio", "Hugging Face Hub", "Docker", "llama-cpp-python"],
		30	+ "data_formats": ["GGUF", "Safetensors (conversion input)", "GBNF grammars"],
		31	+ "languages": ["C", "C++", "Python (tooling)"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://github.com/ggml-org/llama.cpp", "type": "official_site", "title": "ggml-org/llama.cpp", "supports": ["name", "capabilities", "operating_systems", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/ggml-org/llama.cpp", "type": "repository", "supports": ["languages", "license_spdx"], "checked_at": "2026-11-02", "note": "Repository metadata reports MIT; former URL github.com/ggerganov/llama.cpp redirects here" },
		39	+ { "url": "https://github.com/ggml-org/llama.cpp/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-A"
		48	+}

added content/tools/llamaindex.json +50 −0

				@@ -0,0 +1,50 @@
		1	+{
		2	+ "slug": "llamaindex",
		3	+ "name": "LlamaIndex",
		4	+ "aliases": ["llama_index", "GPT Index", "LlamaIndex Framework"],
		5	+ "vendor": { "name": "LlamaIndex, Inc.", "slug": "llamaindex-inc", "website": "https://www.llamaindex.ai" },
		6	+ "homepage_url": "https://www.llamaindex.ai/",
		7	+ "docs_url": "https://developers.llamaindex.ai/python/framework/",
		8	+ "repo_url": "https://github.com/run-llama/llama_index",
		9	+ "pricing_url": "https://www.llamaindex.ai/pricing",
		10	+ "license_url": "https://github.com/run-llama/llama_index/blob/main/LICENSE",
		11	+ "product_type": "framework",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source Python framework for retrieval-augmented agents over your data, with connectors, indexes, query engines and event-driven workflows, alongside the commercial LlamaParse document platform",
		14	+ "description": "LlamaIndex is an MIT-licensed Python toolkit for building LLM agents and retrieval pipelines over private data. Its building blocks are data connectors (loaders for files, APIs and databases), indexes backed by many vector stores, query and chat engines, agents with tools, and Workflows, an event-driven system for multi-step processes with branching, retries and human review that can be deployed as services. A retrieval pipeline is treated as one tool among others that an agent may call. Documentation moved in 2026 from docs.llamaindex.ai to developers.llamaindex.ai, and a TypeScript edition exists alongside the Python core.\n\nThe company behind the framework sells LlamaParse, a hosted document-processing platform (formerly named LlamaCloud) that parses, extracts, classifies and splits documents and offers a managed index; its output feeds directly into framework indexes. Plans for the hosted platform range from a free tier through Starter, Pro and Enterprise, while the framework itself stays free. LlamaIndex is a good fit when documents are the center of the problem; teams needing generic agent orchestration may find LangGraph or Pydantic AI more direct, and the breadth of integrations means dependency management deserves attention.",
		15	+ "capabilities": ["Data connectors for files, APIs and databases", "Indexes over many vector stores with query and chat engines", "Agents with tools and event-driven Workflows", "Evaluation and observability hooks", "Integration with LlamaParse for document parsing and extraction", "Python core with a TypeScript edition"],
		16	+ "workflows": ["Index a folder of PDFs and answer questions with citations", "Build a workflow that parses invoices, extracts fields and routes exceptions to a human", "Combine a retrieval tool with web search in one agent"],
		17	+ "advantages": ["Document-centric design with mature retrieval abstractions", "MIT license and broad integration catalog", "Commercial parsing service available when needed"],
		18	+ "limitations": ["Many optional dependencies to manage", "Hosted LlamaParse features are proprietary and metered", "Product renames (LlamaCloud to LlamaParse) date older guides"],
		19	+ "prerequisites": ["Python 3.10+", "An LLM and embedding provider or local equivalents"],
		20	+ "audiences": ["Developers building RAG applications", "Teams processing document-heavy workflows", "Researchers indexing corpora for question answering"],
		21	+ "alternatives": ["langchain", "langgraph", "pydantic-ai", "ragas"],
		22	+ "categories": [{ "slug": "agent-frameworks", "primary": true }, { "slug": "embeddings-vector-search", "label": "Retrieval and indexing abstractions" }],
		23	+ "tags": ["rag", "agents", "llm", "open-source", "python", "typescript", "documents"],
		24	+ "use_cases": ["build-agents"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["library", "api"],
		28	+ "deployment_models": ["embedded", "saas"],
		29	+ "integrations": ["OpenAI", "Anthropic", "Ollama", "Chroma", "Qdrant", "Weaviate", "pgvector", "Langfuse", "LlamaParse"],
		30	+ "data_formats": ["PDF", "DOCX", "HTML", "Markdown", "JSON", "CSV"],
		31	+ "languages": ["Python", "TypeScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free", "freemium", "enterprise"],
		35	+ "pricing_checked_at": "2026-11-02",
		36	+ "self_hostable": true,
		37	+ "sources": [
		38	+ { "url": "https://www.llamaindex.ai/", "type": "official_site", "title": "LlamaIndex", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://developers.llamaindex.ai/python/framework/", "type": "official_docs", "title": "LlamaIndex Framework documentation", "supports": ["capabilities", "license_spdx", "languages"], "checked_at": "2026-11-02", "note": "States MIT license and the LlamaCloud→LlamaParse rename" },
		40	+ { "url": "https://github.com/run-llama/llama_index/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://www.llamaindex.ai/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "discovery_method": "editorial-research",
		45	+ "depth": "standard",
		46	+ "editorial_status": "reviewed",
		47	+ "visibility": "public",
		48	+ "featured": false,
		49	+ "author": "batch-A"
		50	+}

added content/tools/lm-studio.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "lm-studio",
		3	+ "name": "LM Studio",
		4	+ "aliases": ["LMStudio", "lms", "llmster"],
		5	+ "vendor": { "name": "Element Labs, Inc.", "slug": "element-labs", "website": "https://lmstudio.ai" },
		6	+ "homepage_url": "https://lmstudio.ai/",
		7	+ "docs_url": "https://lmstudio.ai/docs/app",
		8	+ "pricing_url": "https://lmstudio.ai/pricing",
		9	+ "license_url": "https://lmstudio.ai/app-terms",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Proprietary desktop app for discovering, downloading and running local LLMs with llama.cpp and MLX engines, a chat UI, an OpenAI-compatible server, CLI, SDKs and a headless daemon",
		13	+ "description": "LM Studio is a desktop application from Element Labs for running language models locally on macOS (Apple Silicon), Windows (x64 and ARM64) and Linux (x64). Users search Hugging Face from inside the app, download GGUF models that run through llama.cpp on every platform or MLX models on Apple Silicon, and chat with them in a built-in interface that supports document attachments for offline retrieval and acts as an MCP client for connecting tools. A local server exposes OpenAI-compatible endpoints to other applications on the machine or network, with a native REST API in beta.\n\nBeyond the GUI, the `lms` command line handles downloads, daemon and server control, and llmster is a GUI-less build for servers and CI. Python and TypeScript SDKs load models, generate text and embeddings and build agents against the local runtime. In 2026 the company added LM Studio Bionic, an agent for documents, coding and computer control that runs on local models by default and can call larger hosted open models; this introduced Free, Bionic+ and Pro plans and a cloud component with its own terms. The application itself remains proprietary: the terms grant a license for personal and internal business use and prohibit redistribution or offering it as a service.\n\nFor a Mac-centric workflow LM Studio is the most convenient way to compare GGUF and MLX builds of the same model and to expose one as a local API. Limits include the closed source, dependence on a single vendor's release cadence, and the fact that the cloud features change the privacy picture relative to purely local use.",
		14	+ "capabilities": ["Model discovery and download from Hugging Face inside the app", "llama.cpp (GGUF) engine on all platforms and MLX engine on Apple Silicon", "Chat UI with offline document retrieval and MCP tool connections", "OpenAI-compatible local server; REST API in beta", "`lms` CLI and llmster headless daemon", "Python and TypeScript SDKs for generation, embeddings and agents", "Bionic agent for documents, coding and computer control (local-first)"],
		15	+ "workflows": ["Compare GGUF and MLX builds of a model on a Mac Studio", "Expose a local model to an IDE or app through the OpenAI-compatible server", "Run llmster on a headless machine and manage it with `lms`"],
		16	+ "advantages": ["Friendly GUI for non-specialists", "Native MLX support on Apple Silicon", "SDKs and CLI make it scriptable despite being a GUI product"],
		17	+ "limitations": ["Proprietary, closed source", "Cloud and Bionic features carry separate terms and plans", "Single-vendor dependence for engine updates"],
		18	+ "prerequisites": ["Apple Silicon Mac, x64/ARM64 Windows or x64 Linux with enough RAM for the model"],
		19	+ "audiences": ["Developers and analysts who want local models with a GUI", "Mac users exploring MLX models", "Teams exposing local inference to internal tools"],
		20	+ "alternatives": ["ollama", "llama-cpp", "mlx-lm", "vllm"],
		21	+ "comparison_notes": "Ollama is the open-source (MIT) equivalent with a CLI-first design and the same llama.cpp engine but no MLX path; LM Studio adds a full GUI, MLX support and a proprietary license. llama.cpp is the engine both wrap. mlx-lm covers MLX inference from Python without a GUI. vLLM is for multi-user GPU serving rather than desktop use.",
		22	+ "categories": [{ "slug": "local-inference", "primary": true }, { "slug": "apple-silicon-ml", "label": "MLX engine on Apple Silicon" }],
		23	+ "tags": ["llm", "macos", "apple-silicon", "desktop", "api", "gguf", "mlx"],
		24	+ "use_cases": ["run-local-models", "serve-models"],
		25	+ "operating_systems": ["macos", "windows", "linux"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["desktop", "cli", "api", "sdk"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["Hugging Face Hub", "llama.cpp", "MLX", "Model Context Protocol"],
		30	+ "data_formats": ["GGUF", "MLX safetensors", "PDF and text documents (RAG)"],
		31	+ "languages": ["Python", "TypeScript"],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["freemium", "paid"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://lmstudio.ai/", "type": "official_site", "title": "LM Studio", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://lmstudio.ai/docs/app", "type": "official_docs", "title": "LM Studio app documentation", "supports": ["capabilities", "operating_systems", "interfaces", "languages"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://lmstudio.ai/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Free, Bionic+ and Pro plans" },
		40	+ { "url": "https://lmstudio.ai/app-terms", "type": "license_page", "title": "LM Studio application terms", "supports": ["source_model", "vendor"], "checked_at": "2026-11-02", "note": "Proprietary; license for personal and internal business use" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/logseq.json +158 −0

				@@ -0,0 +1,158 @@
		1	+{
		2	+ "slug": "logseq",
		3	+ "name": "Logseq",
		4	+ "aliases": [],
		5	+ "vendor": {
		6	+ "name": "Logseq",
		7	+ "slug": "logseq",
		8	+ "website": "https://logseq.com"
		9	+ },
		10	+ "homepage_url": "https://logseq.com/",
		11	+ "docs_url": "https://docs.logseq.com/",
		12	+ "repo_url": "https://github.com/logseq/logseq",
		13	+ "license_url": "https://github.com/logseq/logseq/blob/master/LICENSE.md",
		14	+ "product_type": "application",
		15	+ "product_status": "active",
		16	+ "summary": "Open-source, outliner-based knowledge base storing notes as local Markdown or Org-mode files with block references, queries and a graph view",
		17	+ "description": "Logseq is an open-source personal knowledge-management application built around an outliner: every note is a tree of blocks, each addressable and embeddable elsewhere, and pages are generated from links and tags. Notes are stored as local Markdown or Org-mode files in a folder the user controls, with daily journal pages as the default entry point, bidirectional links, a graph view, flashcards, PDF annotation, whiteboards and a Datalog-based query language for building dynamic views. Desktop apps run on macOS, Windows and Linux with mobile apps for iOS and Android; synchronisation uses the user's own mechanism (Git, iCloud, Syncthing) or the project's paid Sync service. Plugins and themes extend the editor. The team has been developing a database-backed version with real-time collaboration, which has slowed releases of the file-based edition; the outliner model can feel restrictive for long prose, and block-level file formatting is Logseq-specific.",
		18	+ "capabilities": [
		19	+ "Outliner editing with block references and embeds",
		20	+ "Local Markdown or Org-mode storage",
		21	+ "Daily journals, backlinks and graph view",
		22	+ "Datalog queries and dynamic views",
		23	+ "PDF annotation, flashcards and whiteboards",
		24	+ "Plugins, themes and optional Sync"
		25	+ ],
		26	+ "workflows": [
		27	+ "Journal daily and let pages emerge from links",
		28	+ "Annotate PDFs and link highlights into literature notes"
		29	+ ],
		30	+ "advantages": [
		31	+ "AGPL-3.0 open source",
		32	+ "Local plain-text files",
		33	+ "Block-level referencing"
		34	+ ],
		35	+ "limitations": [
		36	+ "File-based edition sees slower updates while the database version is built",
		37	+ "Outliner structure suits notes more than long-form writing",
		38	+ "Block syntax is Logseq-specific within Markdown files"
		39	+ ],
		40	+ "prerequisites": [
		41	+ "Desktop or mobile device; a sync method for multi-device use"
		42	+ ],
		43	+ "audiences": [
		44	+ "Researchers and students taking networked notes",
		45	+ "Developers who prefer open-source tooling"
		46	+ ],
		47	+ "alternatives": [
		48	+ "obsidian",
		49	+ "notion",
		50	+ "craft"
		51	+ ],
		52	+ "comparison_notes": "Obsidian is also local Markdown but page-based and closed-source with a larger plugin market; Logseq is open source and outliner-first. Notion is cloud-hosted with collaboration and databases; Craft focuses on polished Apple-native documents.",
		53	+ "categories": [
		54	+ {
		55	+ "slug": "knowledge-management",
		56	+ "primary": true
		57	+ }
		58	+ ],
		59	+ "tags": [
		60	+ "notes",
		61	+ "markdown",
		62	+ "outliner",
		63	+ "open-source",
		64	+ "local-first",
		65	+ "pkm"
		66	+ ],
		67	+ "use_cases": [
		68	+ "manage-notes"
		69	+ ],
		70	+ "operating_systems": [
		71	+ "macos",
		72	+ "windows",
		73	+ "linux",
		74	+ "ios",
		75	+ "android"
		76	+ ],
		77	+ "execution_modes": [
		78	+ "local"
		79	+ ],
		80	+ "interfaces": [
		81	+ "desktop",
		82	+ "mobile"
		83	+ ],
		84	+ "deployment_models": [
		85	+ "desktop"
		86	+ ],
		87	+ "integrations": [
		88	+ "Git",
		89	+ "Zotero (plugin)",
		90	+ "Excalidraw (plugin)",
		91	+ "Readwise"
		92	+ ],
		93	+ "data_formats": [
		94	+ "Markdown",
		95	+ "Org-mode",
		96	+ "EDN config"
		97	+ ],
		98	+ "languages": [
		99	+ "ClojureScript"
		100	+ ],
		101	+ "source_model": "open-source",
		102	+ "license_spdx": "AGPL-3.0-only",
		103	+ "pricing_model": [
		104	+ "open-source",
		105	+ "free"
		106	+ ],
		107	+ "self_hostable": null,
		108	+ "sources": [
		109	+ {
		110	+ "url": "https://logseq.com/",
		111	+ "type": "official_site",
		112	+ "supports": [
		113	+ "name",
		114	+ "summary",
		115	+ "operating_systems"
		116	+ ],
		117	+ "checked_at": "2026-11-02",
		118	+ "title": "Logseq"
		119	+ },
		120	+ {
		121	+ "url": "https://docs.logseq.com/",
		122	+ "type": "official_docs",
		123	+ "supports": [
		124	+ "capabilities",
		125	+ "data_formats"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "Logseq documentation"
		129	+ },
		130	+ {
		131	+ "url": "https://github.com/logseq/logseq/blob/master/LICENSE.md",
		132	+ "type": "license_page",
		133	+ "supports": [
		134	+ "license_spdx",
		135	+ "source_model"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "LICENSE.md (AGPL-3.0)"
		139	+ },
		140	+ {
		141	+ "url": "https://github.com/logseq/logseq",
		142	+ "type": "repository",
		143	+ "supports": [
		144	+ "languages",
		145	+ "product_status"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "logseq/logseq"
		149	+ }
		150	+ ],
		151	+ "confidence": "high",
		152	+ "depth": "standard",
		153	+ "featured": false,
		154	+ "discovery_method": "editorial-research",
		155	+ "editorial_status": "reviewed",
		156	+ "visibility": "public",
		157	+ "author": "batch-F"
		158	+}

added content/tools/mapbox.json +166 −0

				@@ -0,0 +1,166 @@
		1	+{
		2	+ "slug": "mapbox",
		3	+ "name": "Mapbox",
		4	+ "aliases": [
		5	+ "Mapbox GL JS",
		6	+ "Mapbox Maps SDK"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Mapbox, Inc.",
		10	+ "slug": "mapbox",
		11	+ "website": "https://www.mapbox.com"
		12	+ },
		13	+ "homepage_url": "https://www.mapbox.com/",
		14	+ "docs_url": "https://docs.mapbox.com/",
		15	+ "repo_url": "https://github.com/mapbox/mapbox-gl-js",
		16	+ "pricing_url": "https://www.mapbox.com/pricing",
		17	+ "license_url": "https://github.com/mapbox/mapbox-gl-js/blob/main/LICENSE.txt",
		18	+ "privacy_url": "https://www.mapbox.com/legal/privacy",
		19	+ "product_type": "platform",
		20	+ "product_status": "active",
		21	+ "summary": "Commercial mapping platform with vector tiles, map styling, geocoding, directions and SDKs for web, iOS and Android, billed by usage",
		22	+ "description": "Mapbox is a commercial location platform offering hosted vector and raster tiles, a style editor, geocoding and search, directions and matrix routing, and client SDKs for the web (Mapbox GL JS), iOS, Android and Unity. Base maps combine OpenStreetMap and other data sources, and developers can upload their own datasets as tilesets and style them in Mapbox Studio. Access is by API token with usage-based billing per map load or request and a free monthly allowance. Since version 2 the GL JS library is distributed under a proprietary Mapbox licence and requires a Mapbox token, which is why the community fork MapLibre exists. Mapbox suits products that need polished, customisable base maps and routing without running tile infrastructure; costs scale with traffic and the terms restrict caching and offline use.",
		23	+ "capabilities": [
		24	+ "Hosted vector and satellite tiles with custom styles",
		25	+ "Mapbox GL JS and native SDKs for web and mobile",
		26	+ "Geocoding, search and address autofill",
		27	+ "Directions, matrix and map-matching APIs",
		28	+ "Tileset uploads and processing for custom data",
		29	+ "Mapbox Studio style editor"
		30	+ ],
		31	+ "workflows": [
		32	+ "Publish a styled map of listings with client-side clustering",
		33	+ "Geocode addresses and compute travel-time matrices"
		34	+ ],
		35	+ "advantages": [
		36	+ "Complete stack from data to rendering",
		37	+ "High-quality rendering and styling tools"
		38	+ ],
		39	+ "limitations": [
		40	+ "Usage-based billing grows with traffic",
		41	+ "GL JS v2+ is proprietary and token-locked",
		42	+ "Terms restrict caching and offline storage of tiles"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Mapbox account and access token"
		46	+ ],
		47	+ "audiences": [
		48	+ "Web and mobile developers",
		49	+ "Product teams needing custom base maps"
		50	+ ],
		51	+ "alternatives": [
		52	+ "maplibre",
		53	+ "google-maps-platform",
		54	+ "leaflet",
		55	+ "openstreetmap"
		56	+ ],
		57	+ "comparison_notes": "MapLibre is the open-source fork of Mapbox GL JS v1 and works with any tile source; Google Maps Platform is the main commercial competitor with different data and pricing structure. Leaflet is a lightweight open-source raster-first library without a hosted backend.",
		58	+ "categories": [
		59	+ {
		60	+ "slug": "gis-mapping",
		61	+ "primary": true
		62	+ }
		63	+ ],
		64	+ "tags": [
		65	+ "maps",
		66	+ "vector-tiles",
		67	+ "api",
		68	+ "geocoding",
		69	+ "routing",
		70	+ "sdk"
		71	+ ],
		72	+ "use_cases": [
		73	+ "map-geodata",
		74	+ "geocode-addresses"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "ios",
		79	+ "android"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "cloud"
		83	+ ],
		84	+ "interfaces": [
		85	+ "api",
		86	+ "sdk",
		87	+ "web"
		88	+ ],
		89	+ "deployment_models": [
		90	+ "saas"
		91	+ ],
		92	+ "integrations": [
		93	+ "React",
		94	+ "Unity",
		95	+ "QGIS (tiles)",
		96	+ "OpenStreetMap data"
		97	+ ],
		98	+ "data_formats": [
		99	+ "Mapbox Vector Tiles",
		100	+ "GeoJSON",
		101	+ "Mapbox Style JSON"
		102	+ ],
		103	+ "languages": [
		104	+ "JavaScript",
		105	+ "Swift",
		106	+ "Kotlin",
		107	+ "Java"
		108	+ ],
		109	+ "source_model": "proprietary",
		110	+ "pricing_model": [
		111	+ "freemium",
		112	+ "usage-based",
		113	+ "enterprise"
		114	+ ],
		115	+ "pricing_checked_at": "2026-11-02",
		116	+ "self_hostable": false,
		117	+ "sources": [
		118	+ {
		119	+ "url": "https://www.mapbox.com/",
		120	+ "type": "official_site",
		121	+ "supports": [
		122	+ "name",
		123	+ "summary"
		124	+ ],
		125	+ "checked_at": "2026-11-02",
		126	+ "title": "Mapbox"
		127	+ },
		128	+ {
		129	+ "url": "https://docs.mapbox.com/",
		130	+ "type": "official_docs",
		131	+ "supports": [
		132	+ "capabilities",
		133	+ "interfaces",
		134	+ "languages"
		135	+ ],
		136	+ "checked_at": "2026-11-02",
		137	+ "title": "Mapbox documentation"
		138	+ },
		139	+ {
		140	+ "url": "https://www.mapbox.com/pricing",
		141	+ "type": "pricing_page",
		142	+ "supports": [
		143	+ "pricing_model"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Mapbox pricing"
		147	+ },
		148	+ {
		149	+ "url": "https://github.com/mapbox/mapbox-gl-js/blob/main/LICENSE.txt",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "source_model",
		153	+ "limitations"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "mapbox-gl-js LICENSE.txt (proprietary)"
		157	+ }
		158	+ ],
		159	+ "confidence": "high",
		160	+ "depth": "standard",
		161	+ "featured": false,
		162	+ "discovery_method": "editorial-research",
		163	+ "editorial_status": "reviewed",
		164	+ "visibility": "public",
		165	+ "author": "batch-F"
		166	+}

added content/tools/maplibre.json +168 −0

				@@ -0,0 +1,168 @@
		1	+{
		2	+ "slug": "maplibre",
		3	+ "name": "MapLibre",
		4	+ "aliases": [
		5	+ "MapLibre GL JS",
		6	+ "MapLibre Native"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "MapLibre Organization",
		10	+ "slug": "maplibre",
		11	+ "website": "https://maplibre.org"
		12	+ },
		13	+ "homepage_url": "https://maplibre.org/",
		14	+ "docs_url": "https://maplibre.org/maplibre-gl-js/docs/",
		15	+ "repo_url": "https://github.com/maplibre/maplibre-gl-js",
		16	+ "license_url": "https://github.com/maplibre/maplibre-gl-js/blob/main/LICENSE.txt",
		17	+ "product_type": "library",
		18	+ "product_status": "active",
		19	+ "summary": "Open-source vector-tile map renderers for web (GL JS) and native platforms, forked from Mapbox GL and governed by a community organisation",
		20	+ "description": "MapLibre is a community-governed family of open-source map rendering libraries that began as a fork of Mapbox GL JS and the Mapbox native SDKs when those moved to a proprietary licence. MapLibre GL JS renders vector tiles in the browser with WebGL, supporting data-driven styling, rotation, tilt, 3D terrain and globe views; MapLibre Native targets iOS, Android, Qt and other platforms from a shared C++ core. The MapLibre Style Specification documents the style JSON, and the project also stewards tooling such as Martin and a tile-server ecosystem. It works with any vector-tile source, including self-hosted PMTiles or OpenStreetMap-derived tiles from providers like OpenFreeMap, Stadia or MapTiler. Users must supply their own tiles and styles, keep up with an actively evolving API, and accept that some advanced Mapbox features have no exact counterpart.",
		21	+ "capabilities": [
		22	+ "WebGL vector-tile rendering with data-driven styles",
		23	+ "Rotation, pitch, 3D terrain and globe projection",
		24	+ "Native SDKs for iOS, Android and Qt from a shared core",
		25	+ "Open style specification compatible with many tile providers",
		26	+ "Support for PMTiles and self-hosted tile servers",
		27	+ "Plugin and framework integrations (React, Vue, Svelte)"
		28	+ ],
		29	+ "workflows": [
		30	+ "Serve OSM-derived vector tiles from PMTiles and style them in MapLibre",
		31	+ "Replace Mapbox GL JS v1 in an existing app with minimal code changes"
		32	+ ],
		33	+ "advantages": [
		34	+ "BSD-3-Clause license with no vendor token",
		35	+ "Works with any tile or style source",
		36	+ "Active community governance"
		37	+ ],
		38	+ "limitations": [
		39	+ "Tiles, styles and hosting are the user's responsibility",
		40	+ "API evolves quickly across major versions",
		41	+ "Some Mapbox proprietary features are absent"
		42	+ ],
		43	+ "prerequisites": [
		44	+ "A vector-tile source and style JSON"
		45	+ ],
		46	+ "audiences": [
		47	+ "Web and mobile developers avoiding vendor lock-in",
		48	+ "Teams self-hosting map infrastructure"
		49	+ ],
		50	+ "alternatives": [
		51	+ "mapbox",
		52	+ "leaflet",
		53	+ "openstreetmap"
		54	+ ],
		55	+ "comparison_notes": "Mapbox GL JS is the proprietary ancestor with a hosted data and billing stack; MapLibre keeps the rendering engine open and tile-provider agnostic. Leaflet is lighter and raster-first. OpenStreetMap supplies the data that most MapLibre tile sources derive from.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "gis-mapping",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "web-frameworks"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "maps",
		67	+ "vector-tiles",
		68	+ "webgl",
		69	+ "open-source",
		70	+ "javascript",
		71	+ "sdk"
		72	+ ],
		73	+ "use_cases": [
		74	+ "map-geodata"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "ios",
		79	+ "android"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "local",
		83	+ "self-hosted"
		84	+ ],
		85	+ "interfaces": [
		86	+ "library",
		87	+ "sdk"
		88	+ ],
		89	+ "deployment_models": [
		90	+ "embedded"
		91	+ ],
		92	+ "integrations": [
		93	+ "PMTiles",
		94	+ "Martin",
		95	+ "OpenFreeMap",
		96	+ "MapTiler",
		97	+ "React",
		98	+ "deck.gl"
		99	+ ],
		100	+ "data_formats": [
		101	+ "Mapbox/MapLibre Vector Tiles",
		102	+ "GeoJSON",
		103	+ "Style JSON",
		104	+ "PMTiles"
		105	+ ],
		106	+ "languages": [
		107	+ "TypeScript",
		108	+ "C++",
		109	+ "Swift",
		110	+ "Kotlin"
		111	+ ],
		112	+ "source_model": "open-source",
		113	+ "license_spdx": "BSD-3-Clause",
		114	+ "pricing_model": [
		115	+ "open-source",
		116	+ "free"
		117	+ ],
		118	+ "self_hostable": true,
		119	+ "sources": [
		120	+ {
		121	+ "url": "https://maplibre.org/",
		122	+ "type": "official_site",
		123	+ "supports": [
		124	+ "name",
		125	+ "summary"
		126	+ ],
		127	+ "checked_at": "2026-11-02",
		128	+ "title": "MapLibre"
		129	+ },
		130	+ {
		131	+ "url": "https://maplibre.org/maplibre-gl-js/docs/",
		132	+ "type": "official_docs",
		133	+ "supports": [
		134	+ "capabilities",
		135	+ "interfaces"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "MapLibre GL JS documentation"
		139	+ },
		140	+ {
		141	+ "url": "https://github.com/maplibre/maplibre-gl-js/blob/main/LICENSE.txt",
		142	+ "type": "license_page",
		143	+ "supports": [
		144	+ "license_spdx",
		145	+ "source_model"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "LICENSE.txt (BSD 3-Clause)"
		149	+ },
		150	+ {
		151	+ "url": "https://github.com/maplibre/maplibre-native",
		152	+ "type": "repository",
		153	+ "supports": [
		154	+ "operating_systems",
		155	+ "languages"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "title": "maplibre/maplibre-native"
		159	+ }
		160	+ ],
		161	+ "confidence": "high",
		162	+ "depth": "standard",
		163	+ "featured": false,
		164	+ "discovery_method": "editorial-research",
		165	+ "editorial_status": "reviewed",
		166	+ "visibility": "public",
		167	+ "author": "batch-F"
		168	+}

added content/tools/marimo.json +178 −0

				@@ -0,0 +1,178 @@
		1	+{
		2	+ "aliases": [],
		3	+ "workflows": [
		4	+ "Reproducible analysis committed to git without output noise",
		5	+ "Turn an exploratory notebook into an internal web app",
		6	+ "Interactive teaching material with sliders and live plots"
		7	+ ],
		8	+ "advantages": [
		9	+ "Deterministic execution and no hidden state",
		10	+ "Clean diffs and importable code",
		11	+ "Apache 2.0 with active development"
		12	+ ],
		13	+ "limitations": [
		14	+ "Python only",
		15	+ "Each variable may be defined once across the notebook",
		16	+ "Smaller extension ecosystem than Jupyter"
		17	+ ],
		18	+ "prerequisites": [
		19	+ "Python 3 (pip or uv install marimo)"
		20	+ ],
		21	+ "audiences": [
		22	+ "Data scientists and researchers",
		23	+ "Instructors",
		24	+ "Python developers building small apps"
		25	+ ],
		26	+ "alternatives": [
		27	+ "jupyter",
		28	+ "observable",
		29	+ "quarto",
		30	+ "positron"
		31	+ ],
		32	+ "tags": [
		33	+ "notebooks",
		34	+ "python",
		35	+ "reactive",
		36	+ "open-source",
		37	+ "reproducible-research"
		38	+ ],
		39	+ "use_cases": [
		40	+ "analyze-intraday-data",
		41	+ "teach-courses",
		42	+ "build-data-apps"
		43	+ ],
		44	+ "operating_systems": [
		45	+ "macos",
		46	+ "linux",
		47	+ "windows",
		48	+ "web"
		49	+ ],
		50	+ "deployment_models": [
		51	+ "desktop",
		52	+ "on-premises",
		53	+ "managed-cloud"
		54	+ ],
		55	+ "integrations": [
		56	+ "DuckDB",
		57	+ "Polars",
		58	+ "pandas",
		59	+ "uv",
		60	+ "Plotly",
		61	+ "Altair",
		62	+ "Jupyter (.ipynb import/export)"
		63	+ ],
		64	+ "data_formats": [
		65	+ ".py notebooks",
		66	+ "HTML export",
		67	+ "WebAssembly export",
		68	+ ".ipynb"
		69	+ ],
		70	+ "languages": [
		71	+ "Python",
		72	+ "SQL"
		73	+ ],
		74	+ "self_hostable": true,
		75	+ "discovery_method": "editorial-research",
		76	+ "depth": "standard",
		77	+ "editorial_status": "reviewed",
		78	+ "visibility": "public",
		79	+ "featured": false,
		80	+ "author": "batch-D",
		81	+ "slug": "marimo",
		82	+ "name": "marimo",
		83	+ "vendor": {
		84	+ "name": "marimo (acquisition by CoreWeave announced October 2025)",
		85	+ "slug": "marimo-inc",
		86	+ "website": "https://marimo.io/"
		87	+ },
		88	+ "homepage_url": "https://marimo.io/",
		89	+ "docs_url": "https://docs.marimo.io/",
		90	+ "repo_url": "https://github.com/marimo-team/marimo",
		91	+ "license_url": "https://github.com/marimo-team/marimo/blob/main/LICENSE",
		92	+ "product_type": "application",
		93	+ "product_status": "active",
		94	+ "summary": "Reactive Python notebook stored as a plain .py file that re-runs dependent cells automatically and doubles as a script or web app",
		95	+ "description": "marimo is an open-source reactive notebook for Python released under Apache 2.0. Instead of a JSON document, a marimo notebook is an ordinary Python file in which each cell is a function; marimo analyzes variable references to build a dependency graph, so changing a cell re-executes exactly the cells that depend on it (or marks them stale in lazy mode), and the file can be run as a script, imported as a module, deployed as an interactive web app or exported to HTML, WebAssembly or an .ipynb. Built-in UI elements (sliders, tables, forms), a SQL cell backed by DuckDB, native display of pandas and Polars DataFrames, a package-aware sandbox with uv, and an AI-assisted editor are part of the base install, and marimo can also open and convert Jupyter notebooks.\n\nIn October 2025 CoreWeave announced an agreement to acquire marimo Inc., stating that the open-source notebook would remain available under its permissive license. marimo attracts users who want reproducible, version-controllable notebooks; constraints are Python-only kernels, the rule that a variable may be defined in only one cell, and a younger ecosystem than Jupyter's.",
		96	+ "capabilities": [
		97	+ "Reactive execution driven by a static dependency graph",
		98	+ "Notebooks stored as plain Python files (git-friendly)",
		99	+ "Run as script, app or export to HTML, WASM or ipynb",
		100	+ "Built-in UI widgets, SQL cells (DuckDB) and DataFrame viewers",
		101	+ "Package sandboxing with uv",
		102	+ "AI-assisted cell generation"
		103	+ ],
		104	+ "categories": [
		105	+ {
		106	+ "slug": "notebooks",
		107	+ "primary": true
		108	+ }
		109	+ ],
		110	+ "execution_modes": [
		111	+ "local",
		112	+ "self-hosted",
		113	+ "cloud"
		114	+ ],
		115	+ "interfaces": [
		116	+ "web",
		117	+ "cli",
		118	+ "library"
		119	+ ],
		120	+ "source_model": "open-source",
		121	+ "license_spdx": "Apache-2.0",
		122	+ "pricing_model": [
		123	+ "open-source",
		124	+ "free"
		125	+ ],
		126	+ "sources": [
		127	+ {
		128	+ "url": "https://marimo.io/",
		129	+ "type": "official_site",
		130	+ "supports": [
		131	+ "name",
		132	+ "summary"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "marimo"
		136	+ },
		137	+ {
		138	+ "url": "https://docs.marimo.io/",
		139	+ "type": "official_docs",
		140	+ "supports": [
		141	+ "capabilities",
		142	+ "data_formats"
		143	+ ],
		144	+ "checked_at": "2026-11-02",
		145	+ "title": "marimo documentation"
		146	+ },
		147	+ {
		148	+ "url": "https://github.com/marimo-team/marimo/blob/main/LICENSE",
		149	+ "type": "license_page",
		150	+ "supports": [
		151	+ "license_spdx",
		152	+ "source_model"
		153	+ ],
		154	+ "checked_at": "2026-11-02",
		155	+ "title": "marimo LICENSE (Apache 2.0)"
		156	+ },
		157	+ {
		158	+ "url": "https://github.com/marimo-team/marimo",
		159	+ "type": "repository",
		160	+ "supports": [
		161	+ "repo_url"
		162	+ ],
		163	+ "checked_at": "2026-11-02",
		164	+ "title": "marimo-team/marimo"
		165	+ },
		166	+ {
		167	+ "url": "https://coreweave.com/news/coreweave-acquires-marimo-to-unify-the-generative-ai-developer-workflow",
		168	+ "type": "news",
		169	+ "supports": [
		170	+ "vendor"
		171	+ ],
		172	+ "checked_at": "2026-11-02",
		173	+ "title": "CoreWeave acquires marimo (announcement, 2025-10-30)"
		174	+ }
		175	+ ],
		176	+ "confidence": "high",
		177	+ "uncertainty_note": "Hosted marimo offerings were not reviewed; pricing_model reflects the open-source notebook only."
		178	+}

added content/tools/mathematica.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "mathematica",
		3	+ "name": "Wolfram Mathematica",
		4	+ "aliases": ["Mathematica", "Wolfram Language"],
		5	+ "vendor": { "name": "Wolfram Research", "slug": "wolfram", "website": "https://www.wolfram.com" },
		6	+ "homepage_url": "https://www.wolfram.com/mathematica/",
		7	+ "docs_url": "https://reference.wolfram.com/language/",
		8	+ "pricing_url": "https://www.wolfram.com/mathematica/pricing/",
		9	+ "product_type": "application",
		10	+ "product_status": "active",
		11	+ "summary": "Wolfram Research's proprietary technical computing system built on the Wolfram Language, with notebooks, symbolic and numeric computation, visualization, machine learning and curated data",
		12	+ "description": "Mathematica is Wolfram Research's commercial technical computing environment and the flagship interface to the Wolfram Language, which ships with thousands of built-in functions spanning symbolic algebra and calculus, numerics, statistics, visualization, image and signal processing, machine learning, LLM functions and access to the curated Wolfram Knowledgebase. Work is organized in notebook documents that mix text, executable code, interactive graphics and user interfaces, and the desktop application (Windows, macOS, Linux) integrates with Wolfram Cloud for browser-based and shared computation. Version 15 is current at the time of writing.\n\nLicensing is segmented by user type: commercial, government, education (universities, colleges, schools), student and personal, with network, enterprise and site licences arranged through sales and a free trial available; many universities hold site licences. In economics and finance Mathematica is used for symbolic derivations, numerical solution of models and exploratory visualization. Its drawbacks are cost, a closed ecosystem and a proprietary notebook format, which has pushed much reproducible research toward Python, Julia and SymPy.",
		13	+ "capabilities": ["Symbolic algebra, calculus and equation solving", "Numerical computation and optimization", "Notebook documents with interactive graphics", "Statistics, machine learning and LLM functions", "Curated Wolfram Knowledgebase data access", "Desktop and Wolfram Cloud deployment", "Export to LaTeX, PDF, CDF and web formats"],
		14	+ "workflows": ["Symbolic derivation and visualization of a theoretical model", "Interactive teaching notebooks", "Prototyping numerical algorithms"],
		15	+ "advantages": ["Very broad built-in function library", "Mature notebook interface", "Strong symbolic engine"],
		16	+ "limitations": ["Commercial licence by user category", "Proprietary notebook format and closed ecosystem", "Website returned a 406 to one automated client during checks"],
		17	+ "prerequisites": ["Licence or site licence", "Windows, macOS or Linux"],
		18	+ "audiences": ["Applied mathematicians and physicists", "Economists doing symbolic and numerical modelling", "Educators with campus licences"],
		19	+ "alternatives": ["sympy", "matlab", "julia", "python"],
		20	+ "comparison_notes": "SymPy is the free symbolic alternative inside Python with narrower algorithms; MATLAB is the proprietary numeric counterpart with engineering toolboxes; Julia and Python offer open ecosystems. Mathematica's distinctive assets are the Wolfram Language's breadth and the curated knowledgebase.",
		21	+ "categories": [{ "slug": "math-stats-tools", "primary": true }],
		22	+ "tags": ["symbolic-math", "notebooks", "proprietary", "macos"],
		23	+ "use_cases": ["write-papers"],
		24	+ "operating_systems": ["windows", "macos", "linux", "web"],
		25	+ "execution_modes": ["local", "cloud"],
		26	+ "interfaces": ["desktop", "web", "cli"],
		27	+ "deployment_models": ["desktop", "saas"],
		28	+ "integrations": ["Wolfram Cloud", "Wolfram|Alpha", "Python (Wolfram Client Library)", "LaTeX export"],
		29	+ "data_formats": ["Notebook (.nb)", "Wolfram Language (.wl)", "CDF", "PDF", "CSV", "Excel"],
		30	+ "languages": ["Wolfram Language"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["paid", "academic", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.wolfram.com/mathematica/", "type": "official_site", "title": "Wolfram Mathematica: Modern Technical Computing", "supports": ["name", "summary", "capabilities", "operating_systems"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://reference.wolfram.com/language/", "type": "official_docs", "title": "Wolfram Language & System Documentation Center", "supports": ["docs_url", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.wolfram.com/mathematica/pricing/", "type": "pricing_page", "title": "Mathematica License Pricing Options", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-E"
		47	+}

added content/tools/matlab.json +166 −0

				@@ -0,0 +1,166 @@
		1	+{
		2	+ "slug": "matlab",
		3	+ "name": "MATLAB",
		4	+ "aliases": [
		5	+ "Matlab"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "MathWorks",
		9	+ "slug": "mathworks",
		10	+ "website": "https://www.mathworks.com"
		11	+ },
		12	+ "homepage_url": "https://www.mathworks.com/products/matlab.html",
		13	+ "docs_url": "https://www.mathworks.com/help/matlab/",
		14	+ "pricing_url": "https://www.mathworks.com/pricing-licensing.html",
		15	+ "product_type": "application",
		16	+ "product_status": "active",
		17	+ "summary": "MathWorks' commercial numeric computing environment and language for engineers and scientists, with toolboxes, Simulink integration, apps and MATLAB Online",
		18	+ "description": "MATLAB is MathWorks' proprietary programming language and numeric computing environment. It centres on matrix computation, visualization and an interactive desktop with the Live Editor for notebook-style scripts; add-on toolboxes extend it to statistics and machine learning, optimization, signal and image processing, control, computational finance and econometrics, and Simulink provides block-diagram modelling and simulation with code generation. Recent releases (R2026b at the time of writing) add MATLAB Copilot and AI agents, and the environment interoperates with Python, Git and cloud services; MATLAB Online runs in a browser.\n\nLicensing is by intended use (commercial, academic, student, personal) and term (annual or perpetual with maintenance), with campus-wide licences common at universities and quote-based pricing for organizations; a free trial is offered. MATLAB runs on Windows, macOS (including Apple silicon) and Linux. In academic finance and economics it is used for numerical methods and legacy codebases, but its cost and closed ecosystem have pushed much new work toward Python and Julia, and toolboxes are licensed separately.",
		19	+ "capabilities": [
		20	+ "Matrix-oriented language with Live Editor scripts",
		21	+ "Toolboxes for statistics, optimization, signal processing, finance and econometrics",
		22	+ "Simulink modelling and code generation",
		23	+ "Interactive apps for analysis and visualization",
		24	+ "MATLAB Online in the browser",
		25	+ "Interfaces to Python, C/C++, Java and databases",
		26	+ "Deployment to compiled applications and web apps"
		27	+ ],
		28	+ "workflows": [
		29	+ "Numerical solution of dynamic economic models",
		30	+ "Signal-processing or control prototyping before embedded code generation",
		31	+ "Teaching numerical methods with campus licences"
		32	+ ],
		33	+ "advantages": [
		34	+ "Mature toolboxes with documentation and support",
		35	+ "Consistent environment across platforms",
		36	+ "Widely licensed at universities"
		37	+ ],
		38	+ "limitations": [
		39	+ "Commercial licence; toolboxes priced separately",
		40	+ "Closed ecosystem compared with Python or Julia",
		41	+ "Website blocks automated clients, so documentation checks require a browser"
		42	+ ],
		43	+ "prerequisites": [
		44	+ "MathWorks account and licence",
		45	+ "Windows, macOS or Linux"
		46	+ ],
		47	+ "audiences": [
		48	+ "Engineers and applied scientists",
		49	+ "Economists using numerical methods",
		50	+ "Students at licensed institutions"
		51	+ ],
		52	+ "alternatives": [
		53	+ "python",
		54	+ "julia",
		55	+ "r",
		56	+ "mathematica",
		57	+ "scipy"
		58	+ ],
		59	+ "comparison_notes": "Python with NumPy/SciPy and Julia offer open-source numerical computing with comparable libraries; Mathematica is the other major proprietary environment, oriented to symbolic computation; R dominates statistics. MATLAB's edge is Simulink and engineering toolboxes.",
		60	+ "categories": [
		61	+ {
		62	+ "slug": "math-stats-tools",
		63	+ "primary": true
		64	+ }
		65	+ ],
		66	+ "tags": [
		67	+ "numerical-computing",
		68	+ "proprietary",
		69	+ "macos",
		70	+ "apple-silicon"
		71	+ ],
		72	+ "use_cases": [
		73	+ "write-papers"
		74	+ ],
		75	+ "operating_systems": [
		76	+ "windows",
		77	+ "macos",
		78	+ "linux",
		79	+ "web"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "local",
		83	+ "cloud"
		84	+ ],
		85	+ "interfaces": [
		86	+ "desktop",
		87	+ "web",
		88	+ "cli"
		89	+ ],
		90	+ "deployment_models": [
		91	+ "desktop",
		92	+ "saas"
		93	+ ],
		94	+ "integrations": [
		95	+ "Simulink",
		96	+ "Python",
		97	+ "Git",
		98	+ "GitHub",
		99	+ "Excel",
		100	+ "Databases (ODBC/JDBC)"
		101	+ ],
		102	+ "data_formats": [
		103	+ ".mat",
		104	+ "CSV",
		105	+ "Excel",
		106	+ "HDF5",
		107	+ "Parquet"
		108	+ ],
		109	+ "languages": [
		110	+ "MATLAB",
		111	+ "Python",
		112	+ "C",
		113	+ "C++",
		114	+ "Java"
		115	+ ],
		116	+ "source_model": "proprietary",
		117	+ "pricing_model": [
		118	+ "paid",
		119	+ "academic",
		120	+ "enterprise"
		121	+ ],
		122	+ "pricing_checked_at": "2026-11-02",
		123	+ "self_hostable": true,
		124	+ "sources": [
		125	+ {
		126	+ "url": "https://www.mathworks.com/products/matlab.html",
		127	+ "type": "official_site",
		128	+ "title": "MATLAB",
		129	+ "supports": [
		130	+ "name",
		131	+ "summary",
		132	+ "capabilities",
		133	+ "operating_systems"
		134	+ ],
		135	+ "checked_at": "2026-11-02"
		136	+ },
		137	+ {
		138	+ "url": "https://www.mathworks.com/help/matlab/",
		139	+ "type": "official_docs",
		140	+ "title": "MATLAB Documentation",
		141	+ "supports": [
		142	+ "docs_url",
		143	+ "description"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "note": "Shows release R2026b"
		147	+ },
		148	+ {
		149	+ "url": "https://www.mathworks.com/pricing-licensing.html",
		150	+ "type": "pricing_page",
		151	+ "title": "Pricing and Licensing - MATLAB & Simulink",
		152	+ "supports": [
		153	+ "pricing_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02"
		156	+ }
		157	+ ],
		158	+ "confidence": "medium",
		159	+ "uncertainty_note": "mathworks.com returns 403 to command-line clients; pages were verified through rendering fetchers. Link checks may report failures that are bot protection rather than outages.",
		160	+ "discovery_method": "editorial-research",
		161	+ "depth": "standard",
		162	+ "editorial_status": "reviewed",
		163	+ "visibility": "public",
		164	+ "featured": false,
		165	+ "author": "batch-E"
		166	+}
	\ No newline at end of file

added content/tools/matplotlib.json +163 −0

				@@ -0,0 +1,163 @@
		1	+{
		2	+ "aliases": [
		3	+ "pyplot"
		4	+ ],
		5	+ "workflows": [
		6	+ "Publication figures exported as PDF or PGF for a LaTeX paper",
		7	+ "Quick plots from pandas DataFrames in a notebook",
		8	+ "Base layer for seaborn and statsmodels diagnostic plots"
		9	+ ],
		10	+ "advantages": [
		11	+ "Complete control over figure details",
		12	+ "Vector output integrates with LaTeX workflows",
		13	+ "Underpins most of the Python plotting ecosystem"
		14	+ ],
		15	+ "limitations": [
		16	+ "Verbose for complex layouts",
		17	+ "Limited interactivity",
		18	+ "Defaults require styling for polished output"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "Python with NumPy; optional LaTeX installation for text rendering"
		22	+ ],
		23	+ "audiences": [
		24	+ "Researchers preparing figures for papers",
		25	+ "Students and scientists in Python"
		26	+ ],
		27	+ "alternatives": [
		28	+ "plotly",
		29	+ "vega-altair",
		30	+ "d3",
		31	+ "r"
		32	+ ],
		33	+ "tags": [
		34	+ "data-visualization",
		35	+ "python",
		36	+ "latex",
		37	+ "open-source",
		38	+ "notebooks"
		39	+ ],
		40	+ "use_cases": [
		41	+ "visualize-data",
		42	+ "write-papers"
		43	+ ],
		44	+ "operating_systems": [
		45	+ "macos",
		46	+ "linux",
		47	+ "windows"
		48	+ ],
		49	+ "deployment_models": [
		50	+ "embedded"
		51	+ ],
		52	+ "integrations": [
		53	+ "NumPy",
		54	+ "pandas",
		55	+ "seaborn",
		56	+ "statsmodels",
		57	+ "Jupyter",
		58	+ "LaTeX"
		59	+ ],
		60	+ "data_formats": [
		61	+ "PNG",
		62	+ "PDF",
		63	+ "SVG",
		64	+ "PS/EPS",
		65	+ "PGF"
		66	+ ],
		67	+ "languages": [
		68	+ "Python"
		69	+ ],
		70	+ "self_hostable": true,
		71	+ "discovery_method": "editorial-research",
		72	+ "depth": "standard",
		73	+ "editorial_status": "reviewed",
		74	+ "visibility": "public",
		75	+ "featured": false,
		76	+ "author": "batch-D",
		77	+ "slug": "matplotlib",
		78	+ "name": "Matplotlib",
		79	+ "vendor": {
		80	+ "name": "Matplotlib Development Team (NumFOCUS)",
		81	+ "slug": "matplotlib-dev",
		82	+ "website": "https://matplotlib.org/"
		83	+ },
		84	+ "homepage_url": "https://matplotlib.org/",
		85	+ "docs_url": "https://matplotlib.org/stable/",
		86	+ "repo_url": "https://github.com/matplotlib/matplotlib",
		87	+ "license_url": "https://matplotlib.org/stable/project/license.html",
		88	+ "product_type": "library",
		89	+ "product_status": "active",
		90	+ "summary": "The foundational Python plotting library for static, publication-quality figures with full control over every element, exported to PDF, SVG, PNG and PGF",
		91	+ "description": "Matplotlib is the long-standing plotting library of scientific Python, maintained by the Matplotlib Development Team under NumFOCUS and distributed under a permissive license derived from the Python Software Foundation license. It produces static two-dimensional figures (with a 3D toolkit) through the state-machine pyplot interface familiar from MATLAB or the explicit object-oriented Figure and Axes API, and renders them with backends for PNG, PDF, SVG, PS and PGF/LaTeX output or interactive windows in Qt, Tk, macOS and web contexts. Text can be typeset with LaTeX, every line, tick, legend and annotation is adjustable, and style sheets or rcParams control defaults globally, which is why most figures in economics and finance papers written in Python pass through it.\n\npandas, seaborn, statsmodels, GeoPandas and many domain packages plot through Matplotlib, and Jupyter displays its output inline. Its weaknesses are the inverse of its strengths: verbose code for complex layouts, limited interactivity compared with Plotly or Altair, and defaults that need styling for presentation. Animation and very large datasets are possible but not its focus.",
		92	+ "capabilities": [
		93	+ "pyplot and object-oriented Figure/Axes APIs",
		94	+ "Vector output to PDF, SVG, PS and PGF for LaTeX documents",
		95	+ "LaTeX text rendering and mathtext",
		96	+ "Style sheets and rcParams for consistent defaults",
		97	+ "Interactive backends for Qt, Tk, macOS and Jupyter",
		98	+ "3D plotting toolkit and animation module"
		99	+ ],
		100	+ "categories": [
		101	+ {
		102	+ "slug": "data-visualization",
		103	+ "primary": true
		104	+ },
		105	+ {
		106	+ "slug": "academic-writing"
		107	+ }
		108	+ ],
		109	+ "execution_modes": [
		110	+ "local"
		111	+ ],
		112	+ "interfaces": [
		113	+ "library"
		114	+ ],
		115	+ "source_model": "open-source",
		116	+ "pricing_model": [
		117	+ "open-source",
		118	+ "free"
		119	+ ],
		120	+ "sources": [
		121	+ {
		122	+ "url": "https://matplotlib.org/",
		123	+ "type": "official_site",
		124	+ "supports": [
		125	+ "name",
		126	+ "summary"
		127	+ ],
		128	+ "checked_at": "2026-11-02",
		129	+ "title": "Matplotlib — Visualization with Python"
		130	+ },
		131	+ {
		132	+ "url": "https://matplotlib.org/stable/",
		133	+ "type": "official_docs",
		134	+ "supports": [
		135	+ "capabilities",
		136	+ "data_formats"
		137	+ ],
		138	+ "checked_at": "2026-11-02",
		139	+ "title": "Matplotlib documentation"
		140	+ },
		141	+ {
		142	+ "url": "https://matplotlib.org/stable/project/license.html",
		143	+ "type": "license_page",
		144	+ "supports": [
		145	+ "source_model"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "Matplotlib license",
		149	+ "note": "PSF-derived Matplotlib license; no exact SPDX identifier, so license_spdx is omitted"
		150	+ },
		151	+ {
		152	+ "url": "https://github.com/matplotlib/matplotlib",
		153	+ "type": "repository",
		154	+ "supports": [
		155	+ "repo_url"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "title": "matplotlib/matplotlib"
		159	+ }
		160	+ ],
		161	+ "confidence": "high",
		162	+ "uncertainty_note": "license_spdx omitted because the Matplotlib license is a PSF-style license without an exact SPDX identifier."
		163	+}

added content/tools/meilisearch.json +186 −0

				@@ -0,0 +1,186 @@
		1	+{
		2	+ "aliases": [],
		3	+ "workflows": [
		4	+ "Site or product search for a web application",
		5	+ "Documentation search widget",
		6	+ "Hybrid semantic search for a content catalog"
		7	+ ],
		8	+ "advantages": [
		9	+ "Relevance defaults that need little tuning",
		10	+ "Single Rust binary, light footprint",
		11	+ "Managed cloud available"
		12	+ ],
		13	+ "limitations": [
		14	+ "Single-node architecture; no clustering",
		15	+ "Enterprise Edition code is under BSL 1.1",
		16	+ "Not intended for log analytics or aggregations"
		17	+ ],
		18	+ "prerequisites": [
		19	+ "A server or Docker host, or a Meilisearch Cloud account"
		20	+ ],
		21	+ "audiences": [
		22	+ "Web developers adding search to applications"
		23	+ ],
		24	+ "alternatives": [
		25	+ "typesense",
		26	+ "elasticsearch",
		27	+ "opensearch",
		28	+ "qdrant"
		29	+ ],
		30	+ "tags": [
		31	+ "search-engine",
		32	+ "full-text-search",
		33	+ "vector-search",
		34	+ "rust",
		35	+ "self-hosted",
		36	+ "api"
		37	+ ],
		38	+ "use_cases": [
		39	+ "add-site-search",
		40	+ "semantic-search"
		41	+ ],
		42	+ "operating_systems": [
		43	+ "linux",
		44	+ "macos",
		45	+ "windows"
		46	+ ],
		47	+ "deployment_models": [
		48	+ "on-premises",
		49	+ "managed-cloud"
		50	+ ],
		51	+ "integrations": [
		52	+ "InstantSearch",
		53	+ "OpenAI embeddings",
		54	+ "Ollama",
		55	+ "Hugging Face",
		56	+ "Strapi",
		57	+ "Firebase"
		58	+ ],
		59	+ "data_formats": [
		60	+ "JSON",
		61	+ "NDJSON",
		62	+ "CSV"
		63	+ ],
		64	+ "languages": [
		65	+ "Rust",
		66	+ "JavaScript",
		67	+ "Python",
		68	+ "PHP",
		69	+ "Ruby",
		70	+ "Go",
		71	+ "Java",
		72	+ "Swift",
		73	+ "C#"
		74	+ ],
		75	+ "self_hostable": true,
		76	+ "discovery_method": "editorial-research",
		77	+ "depth": "standard",
		78	+ "editorial_status": "reviewed",
		79	+ "visibility": "public",
		80	+ "featured": false,
		81	+ "author": "batch-D",
		82	+ "slug": "meilisearch",
		83	+ "name": "Meilisearch",
		84	+ "vendor": {
		85	+ "name": "Meili SAS",
		86	+ "slug": "meili-sas",
		87	+ "website": "https://www.meilisearch.com/"
		88	+ },
		89	+ "homepage_url": "https://www.meilisearch.com/",
		90	+ "docs_url": "https://www.meilisearch.com/docs",
		91	+ "repo_url": "https://github.com/meilisearch/meilisearch",
		92	+ "license_url": "https://github.com/meilisearch/meilisearch/blob/main/LICENSE",
		93	+ "pricing_url": "https://www.meilisearch.com/pricing",
		94	+ "pricing_checked_at": "2026-11-02",
		95	+ "product_type": "database",
		96	+ "product_status": "active",
		97	+ "summary": "Rust search engine for application search-as-you-type with typo tolerance, faceting and hybrid semantic search; MIT core plus BSL enterprise parts",
		98	+ "description": "Meilisearch is a search engine written in Rust by Meili SAS, built for the search-as-you-type experience of websites and applications. It indexes JSON documents and returns ranked results within milliseconds with typo tolerance, prefix search, synonyms, stop words, faceting, filtering, sorting and geosearch out of the box, configured through a REST API rather than a query DSL. Recent versions add hybrid search that combines keyword relevance with embeddings produced by OpenAI, Hugging Face, Ollama or user-supplied vectors. Official SDKs exist for JavaScript, Python, PHP, Ruby, Go, Rust, Java, Swift and .NET, plus front-end components compatible with InstantSearch.\n\nThe repository is dual-licensed: most code is MIT, while files belonging to the Enterprise Edition are under the Business Source License 1.1. Meilisearch Cloud provides hosting with analytics and monitoring. The engine runs as a single process on one node, so it fits product catalogs, documentation and content sites rather than log analytics or very large clusters, where Elasticsearch or OpenSearch are the usual choices.",
		99	+ "capabilities": [
		100	+ "Typo-tolerant, prefix-based instant search",
		101	+ "Faceting, filtering, sorting and geosearch",
		102	+ "Hybrid keyword and vector search with embedders",
		103	+ "Synonyms, stop words and custom ranking rules",
		104	+ "REST API with SDKs in nine languages",
		105	+ "Multi-index and multi-search queries"
		106	+ ],
		107	+ "categories": [
		108	+ {
		109	+ "slug": "vector-databases",
		110	+ "primary": true
		111	+ },
		112	+ {
		113	+ "slug": "search-apis"
		114	+ }
		115	+ ],
		116	+ "execution_modes": [
		117	+ "self-hosted",
		118	+ "cloud"
		119	+ ],
		120	+ "interfaces": [
		121	+ "api",
		122	+ "sdk",
		123	+ "web"
		124	+ ],
		125	+ "source_model": "mixed",
		126	+ "license_spdx": "MIT AND BUSL-1.1",
		127	+ "pricing_model": [
		128	+ "open-source",
		129	+ "free",
		130	+ "usage-based",
		131	+ "enterprise"
		132	+ ],
		133	+ "sources": [
		134	+ {
		135	+ "url": "https://www.meilisearch.com/",
		136	+ "type": "official_site",
		137	+ "supports": [
		138	+ "name",
		139	+ "summary"
		140	+ ],
		141	+ "checked_at": "2026-11-02",
		142	+ "title": "Meilisearch"
		143	+ },
		144	+ {
		145	+ "url": "https://www.meilisearch.com/docs",
		146	+ "type": "official_docs",
		147	+ "supports": [
		148	+ "capabilities",
		149	+ "languages",
		150	+ "data_formats"
		151	+ ],
		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Meilisearch Documentation"
		154	+ },
		155	+ {
		156	+ "url": "https://github.com/meilisearch/meilisearch/blob/main/LICENSE",
		157	+ "type": "license_page",
		158	+ "supports": [
		159	+ "license_spdx",
		160	+ "source_model"
		161	+ ],
		162	+ "checked_at": "2026-11-02",
		163	+ "title": "Meilisearch LICENSE",
		164	+ "note": "States SPDX-License-Identifier: MIT AND BUSL-1.1 (Enterprise Edition parts under BSL)"
		165	+ },
		166	+ {
		167	+ "url": "https://www.meilisearch.com/pricing",
		168	+ "type": "pricing_page",
		169	+ "supports": [
		170	+ "pricing_model"
		171	+ ],
		172	+ "checked_at": "2026-11-02",
		173	+ "title": "Meilisearch pricing"
		174	+ },
		175	+ {
		176	+ "url": "https://github.com/meilisearch/meilisearch",
		177	+ "type": "repository",
		178	+ "supports": [
		179	+ "repo_url"
		180	+ ],
		181	+ "checked_at": "2026-11-02",
		182	+ "title": "meilisearch/meilisearch"
		183	+ }
		184	+ ],
		185	+ "confidence": "high"
		186	+}

added content/tools/mendeley.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "mendeley",
		3	+ "name": "Mendeley",
		4	+ "aliases": ["Mendeley Reference Manager", "Mendeley Desktop"],
		5	+ "vendor": { "name": "Elsevier", "slug": "elsevier", "website": "https://www.elsevier.com" },
		6	+ "homepage_url": "https://www.mendeley.com/",
		7	+ "docs_url": "https://www.elsevier.com/products/mendeley",
		8	+ "product_type": "application",
		9	+ "product_status": "active",
		10	+ "summary": "Free reference manager from Elsevier with a desktop and web app, PDF annotation, a Web Importer, groups and bundled cloud storage",
		11	+ "description": "Mendeley is Elsevier's free reference manager. Mendeley Reference Manager, available as a desktop app and in the browser, imports PDFs individually or by folder, watches folders for new files, reads and annotates PDFs, organizes items into collections and tags, and inserts citations through a cite-as-you-write add-in. A Web Importer browser extension saves references while browsing, groups let co-authors share libraries and annotate PDFs together, and an \"Ask my library\" AI feature answers questions across saved references. Every account includes a fixed amount of free cloud storage; the site also promotes LeapSpace, an Elsevier research companion.\n\nMendeley suits researchers who want a no-cost, cloud-synced library with Word integration and are comfortable with a proprietary, vendor-hosted service. The older Mendeley Desktop client was retired in favour of Reference Manager, so legacy workflows and some plugins no longer apply, and there is no self-hosted or open-source option.",
		12	+ "capabilities": ["Import PDFs and folders with automatic metadata extraction", "Web Importer browser extension", "PDF reading and annotation", "Cite-as-you-write add-in for word processors", "Shared groups with collaborative annotation", "Cloud sync with bundled storage"],
		13	+ "workflows": ["Building a personal library from downloaded PDFs", "Co-authoring with a shared group library"],
		14	+ "advantages": ["Free with cloud sync included", "Desktop and web clients"],
		15	+ "limitations": ["Proprietary, vendor-hosted; no self-hosting", "Legacy Mendeley Desktop retired; some plugins discontinued", "Public site blocks automated access, limiting documentation checks"],
		16	+ "prerequisites": ["Free Elsevier/Mendeley account"],
		17	+ "audiences": ["Students and researchers wanting a free cloud library", "Users in Elsevier-centred institutions"],
		18	+ "alternatives": ["zotero", "paperpile", "jabref"],
		19	+ "comparison_notes": "Zotero is open source with WebDAV self-storage; Paperpile is paid and Google Docs-centred; JabRef is BibTeX-native and offline. Mendeley is free and cloud-synced but proprietary.",
		20	+ "categories": [{ "slug": "citation-management", "primary": true }],
		21	+ "tags": ["bibliography", "pdf", "browser-extension"],
		22	+ "use_cases": ["manage-references", "write-papers"],
		23	+ "operating_systems": ["macos", "windows", "linux", "web"],
		24	+ "execution_modes": ["cloud", "local"],
		25	+ "interfaces": ["desktop", "web", "browser-extension"],
		26	+ "deployment_models": ["saas", "desktop"],
		27	+ "integrations": ["Microsoft Word (Mendeley Cite)", "Overleaf", "ScienceDirect"],
		28	+ "data_formats": ["BibTeX", "RIS", "EndNote XML", "PDF"],
		29	+ "languages": [],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["free"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://www.mendeley.com/", "type": "official_site", "title": "Mendeley | Homepage", "supports": ["name", "summary", "capabilities", "pricing_model"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://www.mendeley.com/reference-management/reference-manager", "type": "official_docs", "title": "Mendeley | Features", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://www.elsevier.com/products/mendeley", "type": "official_site", "title": "Mendeley – Elsevier", "supports": ["vendor"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "mendeley.com returns 403 to command-line clients; pages were read through a rendering fetcher. Supported desktop platforms were not confirmed on the pages checked.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-E"
		46	+}

added content/tools/mermaid.json +166 −0

				@@ -0,0 +1,166 @@
		1	+{
		2	+ "slug": "mermaid",
		3	+ "name": "Mermaid",
		4	+ "aliases": [
		5	+ "Mermaid.js",
		6	+ "Mermaid Live Editor",
		7	+ "Mermaid Chart"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Mermaid project (Knut Sveidqvist and contributors)",
		11	+ "slug": "mermaid-js",
		12	+ "website": "https://mermaid.js.org"
		13	+ },
		14	+ "homepage_url": "https://mermaid.js.org/",
		15	+ "docs_url": "https://mermaid.js.org/intro/",
		16	+ "repo_url": "https://github.com/mermaid-js/mermaid",
		17	+ "license_url": "https://github.com/mermaid-js/mermaid/blob/develop/LICENSE",
		18	+ "product_type": "library",
		19	+ "product_status": "active",
		20	+ "summary": "JavaScript library that renders flowcharts, sequence, class, state, ER, Gantt and other diagrams from a Markdown-like text syntax",
		21	+ "description": "Mermaid is an open-source JavaScript diagramming library created by Knut Sveidqvist that turns a concise text syntax into SVG diagrams: flowcharts, sequence, class, state and entity-relationship diagrams, Gantt charts, Git graphs, mind maps, timelines, pie and quadrant charts and more. Because diagrams are plain text, they can be versioned with code and rendered wherever the library is embedded, including GitHub and GitLab Markdown, Notion, Obsidian, Docusaurus, MkDocs and VS Code. A command-line tool (mermaid-cli) renders to SVG, PNG or PDF for documents, and the Mermaid Live Editor provides instant preview; the maintainers also run Mermaid Chart, a commercial editor and collaboration service. Layout is automatic and offers limited manual control, complex diagrams can render awkwardly, and syntax details differ between diagram types and versions.",
		22	+ "capabilities": [
		23	+ "Text-to-diagram rendering for many diagram types",
		24	+ "SVG output embeddable in web pages and Markdown",
		25	+ "Theming and configuration directives",
		26	+ "mermaid-cli for batch rendering to SVG, PNG and PDF",
		27	+ "Live Editor for interactive preview",
		28	+ "Native support in GitHub, GitLab and many documentation tools"
		29	+ ],
		30	+ "workflows": [
		31	+ "Keep architecture diagrams as text in a repository and render them in docs",
		32	+ "Generate a sequence diagram from a specification and export to PDF for a paper"
		33	+ ],
		34	+ "advantages": [
		35	+ "MIT license and ubiquitous rendering support",
		36	+ "Diagrams versioned as plain text"
		37	+ ],
		38	+ "limitations": [
		39	+ "Little manual control over layout",
		40	+ "Complex diagrams can be hard to read",
		41	+ "Syntax varies across diagram types"
		42	+ ],
		43	+ "prerequisites": [
		44	+ "JavaScript runtime or a renderer that supports Mermaid"
		45	+ ],
		46	+ "audiences": [
		47	+ "Developers documenting systems",
		48	+ "Technical writers and educators"
		49	+ ],
		50	+ "alternatives": [
		51	+ "draw-io",
		52	+ "excalidraw",
		53	+ "figma"
		54	+ ],
		55	+ "comparison_notes": "draw.io and Excalidraw are interactive editors where you position shapes by hand; Mermaid computes layout from text, which suits version control and generated documentation. Figma is a design tool rather than a diagram generator.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "design-prototyping",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "documentation"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "diagrams",
		67	+ "markdown",
		68	+ "javascript",
		69	+ "open-source",
		70	+ "documentation"
		71	+ ],
		72	+ "use_cases": [
		73	+ "draw-diagrams",
		74	+ "typeset-documents"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "any"
		79	+ ],
		80	+ "execution_modes": [
		81	+ "local"
		82	+ ],
		83	+ "interfaces": [
		84	+ "library",
		85	+ "cli",
		86	+ "web"
		87	+ ],
		88	+ "deployment_models": [
		89	+ "embedded"
		90	+ ],
		91	+ "integrations": [
		92	+ "GitHub",
		93	+ "GitLab",
		94	+ "Obsidian",
		95	+ "Notion",
		96	+ "Docusaurus",
		97	+ "MkDocs",
		98	+ "VS Code",
		99	+ "Excalidraw"
		100	+ ],
		101	+ "data_formats": [
		102	+ "Mermaid text",
		103	+ "SVG",
		104	+ "PNG",
		105	+ "PDF"
		106	+ ],
		107	+ "languages": [
		108	+ "JavaScript",
		109	+ "TypeScript"
		110	+ ],
		111	+ "source_model": "open-source",
		112	+ "license_spdx": "MIT",
		113	+ "pricing_model": [
		114	+ "open-source",
		115	+ "free"
		116	+ ],
		117	+ "self_hostable": true,
		118	+ "sources": [
		119	+ {
		120	+ "url": "https://mermaid.js.org/",
		121	+ "type": "official_site",
		122	+ "supports": [
		123	+ "name",
		124	+ "summary"
		125	+ ],
		126	+ "checked_at": "2026-11-02",
		127	+ "title": "Mermaid"
		128	+ },
		129	+ {
		130	+ "url": "https://mermaid.js.org/intro/",
		131	+ "type": "official_docs",
		132	+ "supports": [
		133	+ "capabilities",
		134	+ "integrations"
		135	+ ],
		136	+ "checked_at": "2026-11-02",
		137	+ "title": "Mermaid — About"
		138	+ },
		139	+ {
		140	+ "url": "https://github.com/mermaid-js/mermaid/blob/develop/LICENSE",
		141	+ "type": "license_page",
		142	+ "supports": [
		143	+ "license_spdx",
		144	+ "source_model"
		145	+ ],
		146	+ "checked_at": "2026-11-02",
		147	+ "title": "LICENSE (MIT)"
		148	+ },
		149	+ {
		150	+ "url": "https://mermaid.live/",
		151	+ "type": "official_site",
		152	+ "supports": [
		153	+ "capabilities"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Mermaid Live Editor"
		157	+ }
		158	+ ],
		159	+ "confidence": "high",
		160	+ "depth": "standard",
		161	+ "featured": false,
		162	+ "discovery_method": "editorial-research",
		163	+ "editorial_status": "reviewed",
		164	+ "visibility": "public",
		165	+ "author": "batch-F"
		166	+}

added content/tools/metabase.json +176 −0

				@@ -0,0 +1,176 @@
		1	+{
		2	+ "aliases": [],
		3	+ "workflows": [
		4	+ "Team dashboards over a PostgreSQL application database",
		5	+ "Ad-hoc SQL exploration shared with non-technical users",
		6	+ "Embedding charts in a customer-facing product"
		7	+ ],
		8	+ "advantages": [
		9	+ "Simple single-container self-hosting",
		10	+ "Approachable for non-SQL users",
		11	+ "Open-source edition is fully functional for small teams"
		12	+ ],
		13	+ "limitations": [
		14	+ "Advanced permissions and SSO are commercial",
		15	+ "Performance depends on the source database",
		16	+ "AGPL obligations when redistributing modifications"
		17	+ ],
		18	+ "prerequisites": [
		19	+ "Java runtime or Docker, plus an application database (PostgreSQL recommended for production)"
		20	+ ],
		21	+ "audiences": [
		22	+ "Small data teams",
		23	+ "Product and operations analysts"
		24	+ ],
		25	+ "alternatives": [
		26	+ "apache-superset",
		27	+ "tableau",
		28	+ "power-bi",
		29	+ "grafana"
		30	+ ],
		31	+ "tags": [
		32	+ "bi",
		33	+ "dashboards",
		34	+ "sql",
		35	+ "self-hosted",
		36	+ "open-source"
		37	+ ],
		38	+ "use_cases": [
		39	+ "build-dashboards",
		40	+ "monitor-services"
		41	+ ],
		42	+ "operating_systems": [
		43	+ "linux",
		44	+ "macos",
		45	+ "windows",
		46	+ "web"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "saas"
		51	+ ],
		52	+ "integrations": [
		53	+ "PostgreSQL",
		54	+ "MySQL",
		55	+ "ClickHouse",
		56	+ "BigQuery",
		57	+ "Snowflake",
		58	+ "DuckDB (community driver)",
		59	+ "Slack"
		60	+ ],
		61	+ "data_formats": [
		62	+ "SQL",
		63	+ "CSV/XLSX/JSON export"
		64	+ ],
		65	+ "languages": [
		66	+ "Clojure",
		67	+ "JavaScript",
		68	+ "SQL"
		69	+ ],
		70	+ "self_hostable": true,
		71	+ "discovery_method": "editorial-research",
		72	+ "depth": "standard",
		73	+ "editorial_status": "reviewed",
		74	+ "visibility": "public",
		75	+ "featured": false,
		76	+ "author": "batch-D",
		77	+ "slug": "metabase",
		78	+ "name": "Metabase",
		79	+ "vendor": {
		80	+ "name": "Metabase, Inc.",
		81	+ "slug": "metabase-inc",
		82	+ "website": "https://www.metabase.com/"
		83	+ },
		84	+ "homepage_url": "https://www.metabase.com/",
		85	+ "docs_url": "https://www.metabase.com/docs/latest/",
		86	+ "repo_url": "https://github.com/metabase/metabase",
		87	+ "license_url": "https://github.com/metabase/metabase/blob/master/LICENSE.txt",
		88	+ "pricing_url": "https://www.metabase.com/pricing/",
		89	+ "pricing_checked_at": "2026-11-02",
		90	+ "product_type": "application",
		91	+ "product_status": "active",
		92	+ "summary": "Self-hostable BI tool with a no-code question builder, SQL editor, dashboards and embedding; AGPL open-source edition plus commercial Pro and Enterprise",
		93	+ "description": "Metabase is a business-intelligence application from Metabase, Inc. that connects to PostgreSQL, MySQL, ClickHouse, BigQuery, Snowflake, SQLite, MongoDB and about twenty other sources and lets users ask questions through a graphical query builder or a native SQL editor, then assemble the results into dashboards with filters, alerts and scheduled email or Slack delivery. Models and metrics provide a light semantic layer, and public links or signed embedding put charts into other applications. It ships as a single JAR or Docker image, which makes it one of the easiest BI servers to self-host on a small machine.\n\nCode outside the enterprise directory is licensed under the AGPL; the enterprise directory is under the Metabase Commercial License and powers the Pro and Enterprise plans (SSO, row-level sandboxing, white-labeling, advanced permissions), available self-hosted or on Metabase Cloud. The open-source edition covers most small-team needs. Limitations include modest modeling compared with dbt-centric semantic layers, performance that depends entirely on the connected database, and the AGPL obligations for teams modifying and redistributing it.",
		94	+ "capabilities": [
		95	+ "Graphical question builder and native SQL editor",
		96	+ "Dashboards with filters, drill-through and alerts",
		97	+ "Scheduled delivery to email and Slack",
		98	+ "Models and metrics as a light semantic layer",
		99	+ "Public sharing and signed embedding",
		100	+ "Connectors for twenty-plus databases"
		101	+ ],
		102	+ "categories": [
		103	+ {
		104	+ "slug": "bi-dashboards",
		105	+ "primary": true
		106	+ }
		107	+ ],
		108	+ "execution_modes": [
		109	+ "self-hosted",
		110	+ "cloud"
		111	+ ],
		112	+ "interfaces": [
		113	+ "web",
		114	+ "api"
		115	+ ],
		116	+ "source_model": "mixed",
		117	+ "license_spdx": "AGPL-3.0",
		118	+ "pricing_model": [
		119	+ "open-source",
		120	+ "free",
		121	+ "paid",
		122	+ "enterprise"
		123	+ ],
		124	+ "sources": [
		125	+ {
		126	+ "url": "https://www.metabase.com/",
		127	+ "type": "official_site",
		128	+ "supports": [
		129	+ "name",
		130	+ "summary"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "Metabase"
		134	+ },
		135	+ {
		136	+ "url": "https://www.metabase.com/docs/latest/",
		137	+ "type": "official_docs",
		138	+ "supports": [
		139	+ "capabilities",
		140	+ "integrations"
		141	+ ],
		142	+ "checked_at": "2026-11-02",
		143	+ "title": "Metabase documentation"
		144	+ },
		145	+ {
		146	+ "url": "https://github.com/metabase/metabase/blob/master/LICENSE.txt",
		147	+ "type": "license_page",
		148	+ "supports": [
		149	+ "license_spdx",
		150	+ "source_model"
		151	+ ],
		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Metabase LICENSE.txt",
		154	+ "note": "AGPL outside the enterprise directory; Metabase Commercial License inside it"
		155	+ },
		156	+ {
		157	+ "url": "https://www.metabase.com/pricing/",
		158	+ "type": "pricing_page",
		159	+ "supports": [
		160	+ "pricing_model"
		161	+ ],
		162	+ "checked_at": "2026-11-02",
		163	+ "title": "Metabase pricing"
		164	+ },
		165	+ {
		166	+ "url": "https://github.com/metabase/metabase",
		167	+ "type": "repository",
		168	+ "supports": [
		169	+ "repo_url"
		170	+ ],
		171	+ "checked_at": "2026-11-02",
		172	+ "title": "metabase/metabase"
		173	+ }
		174	+ ],
		175	+ "confidence": "high"
		176	+}

added content/tools/metal.json +44 −0

				@@ -0,0 +1,44 @@
		1	+{
		2	+ "slug": "metal",
		3	+ "name": "Metal",
		4	+ "aliases": ["Apple Metal", "Metal Performance Shaders"],
		5	+ "vendor": { "name": "Apple Inc.", "slug": "apple", "website": "https://developer.apple.com/" },
		6	+ "homepage_url": "https://developer.apple.com/metal/",
		7	+ "docs_url": "https://developer.apple.com/documentation/metal",
		8	+ "product_type": "framework",
		9	+ "product_status": "active",
		10	+ "summary": "Apple's low-level GPU programming framework for graphics and parallel compute on iOS, macOS and visionOS, the layer beneath MLX, Core ML and most Apple Silicon ML runtimes",
		11	+ "description": "Metal is Apple's low-overhead API for programming the GPU on its devices, introduced in 2014 and now the only supported graphics and compute interface on Apple platforms. Developers write shaders and compute kernels in the Metal Shading Language, a C++-derived dialect, and submit command buffers that the framework schedules on the GPU. Companion libraries include Metal Performance Shaders (optimized kernels for image processing, linear algebra and neural-network layers), MetalFX upscaling and MetalKit for display plumbing.\n\nFor machine learning on Apple Silicon, Metal is the foundation rather than the tool most people touch directly: MLX, PyTorch's MPS backend, llama.cpp, Core ML and the Foundation Models framework all dispatch their GPU work through it, and the unified memory architecture of M-series chips lets those frameworks share buffers between CPU and GPU without copies. Developers reach for Metal itself when they need custom kernels, graphics rendering or profiling with Xcode's GPU tools.\n\nIt is proprietary and Apple-only; there is no Linux, Windows or Android target, so portable GPU code usually goes through Vulkan, WebGPU or a framework that abstracts the backend.",
		12	+ "capabilities": ["Low-level GPU command submission for graphics and compute", "Metal Shading Language for shaders and compute kernels", "Metal Performance Shaders for image, linear-algebra and neural-network kernels", "GPU debugging and profiling in Xcode", "Unified-memory buffer sharing on Apple Silicon"],
		13	+ "workflows": ["Write a custom compute kernel for a scientific application", "Profile the GPU work of an MLX or PyTorch program", "Render 3D content in a native macOS app"],
		14	+ "advantages": ["Direct access to Apple GPUs with minimal driver overhead", "Underpins every ML framework on Apple Silicon", "First-class tooling in Xcode"],
		15	+ "limitations": ["Apple platforms only", "Steep learning curve compared with high-level frameworks", "No portability to Linux or Windows GPUs"],
		16	+ "prerequisites": ["Xcode on macOS", "Swift, Objective-C or C++"],
		17	+ "audiences": ["Graphics and game developers", "ML framework and kernel authors on Apple Silicon"],
		18	+ "alternatives": ["mlx", "pytorch", "jax"],
		19	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "swift-development" }],
		20	+ "tags": ["apple-silicon", "gpu", "macos", "ios", "shaders", "compute"],
		21	+ "use_cases": ["run-local-models", "build-native-apps"],
		22	+ "operating_systems": ["macos", "ios"],
		23	+ "execution_modes": ["local"],
		24	+ "interfaces": ["sdk", "library"],
		25	+ "deployment_models": ["embedded"],
		26	+ "integrations": ["MLX", "PyTorch MPS backend", "Core ML", "llama.cpp", "Xcode GPU tools"],
		27	+ "data_formats": ["Metal Shading Language (.metal)", "metallib"],
		28	+ "languages": ["Swift", "Objective-C", "C++"],
		29	+ "source_model": "proprietary",
		30	+ "pricing_model": ["free"],
		31	+ "self_hostable": false,
		32	+ "sources": [
		33	+ { "url": "https://developer.apple.com/metal/", "type": "official_site", "title": "Metal – Apple Developer", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		34	+ { "url": "https://developer.apple.com/documentation/metal", "type": "official_docs", "title": "Metal | Apple Developer Documentation", "supports": ["capabilities", "operating_systems", "description"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://ml-explore.github.io/mlx/build/html/index.html", "type": "official_docs", "title": "MLX documentation (Metal backend)", "supports": ["integrations"], "checked_at": "2026-11-02" }
		36	+ ],
		37	+ "confidence": "high",
		38	+ "discovery_method": "editorial-research",
		39	+ "depth": "standard",
		40	+ "editorial_status": "reviewed",
		41	+ "visibility": "public",
		42	+ "featured": false,
		43	+ "author": "batch-C"
		44	+}

added content/tools/microsoft-365.json +177 −0

				@@ -0,0 +1,177 @@
		1	+{
		2	+ "slug": "microsoft-365",
		3	+ "name": "Microsoft 365",
		4	+ "aliases": [
		5	+ "Office 365",
		6	+ "Microsoft Office",
		7	+ "M365"
		8	+ ],
		9	+ "vendor": {
		10	+ "name": "Microsoft Corporation",
		11	+ "slug": "microsoft",
		12	+ "website": "https://www.microsoft.com"
		13	+ },
		14	+ "homepage_url": "https://www.microsoft.com/en-us/microsoft-365",
		15	+ "docs_url": "https://learn.microsoft.com/en-us/microsoft-365/",
		16	+ "pricing_url": "https://www.microsoft.com/en-us/microsoft-365/business/compare-all-microsoft-365-business-products",
		17	+ "privacy_url": "https://www.microsoft.com/en-us/privacy/privacystatement",
		18	+ "product_type": "platform",
		19	+ "product_status": "active",
		20	+ "summary": "Microsoft's subscription suite of Office desktop and web apps, Exchange email, OneDrive, SharePoint and Teams with Copilot and Graph APIs",
		21	+ "description": "Microsoft 365, formerly Office 365, is Microsoft's subscription bundle of productivity software and cloud services. It includes the desktop and web versions of Word, Excel, PowerPoint, Outlook and OneNote, Exchange Online email, OneDrive and SharePoint storage, Teams for chat and meetings, Loop, Planner and Forms, with Microsoft 365 Copilot available as an add-on that brings generative AI into the apps. Administration runs through the Microsoft 365 admin center and Entra ID for identity, conditional access, compliance and device management, and developers automate the platform with Microsoft Graph, Office Add-ins and Power Platform. Business, Enterprise, Education and consumer (Personal and Family) plans are licensed by seat. Excel and Word remain the de facto standards for spreadsheets and documents in finance and academia. Costs accumulate with add-ons, desktop apps are Windows and macOS only, and the breadth of services creates administrative complexity.",
		22	+ "capabilities": [
		23	+ "Word, Excel, PowerPoint, Outlook and OneNote on desktop and web",
		24	+ "Exchange Online email and calendars",
		25	+ "OneDrive and SharePoint storage with co-authoring",
		26	+ "Teams chat and meetings",
		27	+ "Entra ID identity, compliance and device management",
		28	+ "Microsoft Graph API, Office Add-ins and Power Platform",
		29	+ "Copilot generative AI add-on"
		30	+ ],
		31	+ "workflows": [
		32	+ "Maintain grading spreadsheets in Excel synced through OneDrive",
		33	+ "Automate document generation from Graph API data"
		34	+ ],
		35	+ "advantages": [
		36	+ "Full-featured desktop applications plus cloud services",
		37	+ "Enterprise identity and compliance in one tenant"
		38	+ ],
		39	+ "limitations": [
		40	+ "Per-user costs grow with add-ons such as Copilot",
		41	+ "Desktop apps limited to Windows and macOS",
		42	+ "Administrative complexity across many services"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "Microsoft 365 subscription and tenant"
		46	+ ],
		47	+ "audiences": [
		48	+ "Businesses and universities",
		49	+ "Finance and research staff relying on Excel",
		50	+ "IT administrators"
		51	+ ],
		52	+ "alternatives": [
		53	+ "google-workspace",
		54	+ "notion",
		55	+ "microsoft-teams",
		56	+ "odoo"
		57	+ ],
		58	+ "comparison_notes": "Google Workspace is browser-first with lighter editors and simpler administration; Microsoft 365 offers richer desktop applications and deeper enterprise controls. Notion covers notes and wikis only; Microsoft Teams is a component of Microsoft 365 rather than a substitute; Odoo addresses ERP functions outside the suite.",
		59	+ "categories": [
		60	+ {
		61	+ "slug": "productivity-suites",
		62	+ "primary": true
		63	+ },
		64	+ {
		65	+ "slug": "collaboration-communication"
		66	+ }
		67	+ ],
		68	+ "tags": [
		69	+ "office-suite",
		70	+ "email",
		71	+ "excel",
		72	+ "saas",
		73	+ "api",
		74	+ "llm"
		75	+ ],
		76	+ "use_cases": [
		77	+ "collaborate",
		78	+ "write-documents"
		79	+ ],
		80	+ "operating_systems": [
		81	+ "windows",
		82	+ "macos",
		83	+ "web",
		84	+ "ios",
		85	+ "android"
		86	+ ],
		87	+ "execution_modes": [
		88	+ "cloud",
		89	+ "local"
		90	+ ],
		91	+ "interfaces": [
		92	+ "desktop",
		93	+ "web",
		94	+ "mobile",
		95	+ "api"
		96	+ ],
		97	+ "deployment_models": [
		98	+ "saas",
		99	+ "desktop"
		100	+ ],
		101	+ "integrations": [
		102	+ "Microsoft Graph",
		103	+ "Power Automate",
		104	+ "Entra ID",
		105	+ "Teams",
		106	+ "Salesforce",
		107	+ "Adobe Acrobat"
		108	+ ],
		109	+ "data_formats": [
		110	+ "DOCX",
		111	+ "XLSX",
		112	+ "PPTX",
		113	+ "PDF",
		114	+ "JSON (Graph API)"
		115	+ ],
		116	+ "languages": [
		117	+ "JavaScript (Office Add-ins)",
		118	+ "VBA"
		119	+ ],
		120	+ "source_model": "proprietary",
		121	+ "pricing_model": [
		122	+ "paid",
		123	+ "enterprise",
		124	+ "academic"
		125	+ ],
		126	+ "pricing_checked_at": "2026-11-02",
		127	+ "self_hostable": false,
		128	+ "sources": [
		129	+ {
		130	+ "url": "https://www.microsoft.com/en-us/microsoft-365",
		131	+ "type": "official_site",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary",
		135	+ "capabilities"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "Microsoft 365"
		139	+ },
		140	+ {
		141	+ "url": "https://learn.microsoft.com/en-us/microsoft-365/",
		142	+ "type": "official_docs",
		143	+ "supports": [
		144	+ "capabilities",
		145	+ "interfaces"
		146	+ ],
		147	+ "checked_at": "2026-11-02",
		148	+ "title": "Microsoft 365 documentation"
		149	+ },
		150	+ {
		151	+ "url": "https://learn.microsoft.com/en-us/graph/overview",
		152	+ "type": "official_docs",
		153	+ "supports": [
		154	+ "interfaces",
		155	+ "languages"
		156	+ ],
		157	+ "checked_at": "2026-11-02",
		158	+ "title": "Microsoft Graph overview"
		159	+ },
		160	+ {
		161	+ "url": "https://www.microsoft.com/en-us/microsoft-365/business/compare-all-microsoft-365-business-products",
		162	+ "type": "pricing_page",
		163	+ "supports": [
		164	+ "pricing_model"
		165	+ ],
		166	+ "checked_at": "2026-11-02",
		167	+ "title": "Compare Microsoft 365 business plans"
		168	+ }
		169	+ ],
		170	+ "confidence": "high",
		171	+ "depth": "standard",
		172	+ "featured": false,
		173	+ "discovery_method": "editorial-research",
		174	+ "editorial_status": "reviewed",
		175	+ "visibility": "public",
		176	+ "author": "batch-F"
		177	+}

added content/tools/microsoft-teams.json +164 −0

				@@ -0,0 +1,164 @@
		1	+{
		2	+ "slug": "microsoft-teams",
		3	+ "name": "Microsoft Teams",
		4	+ "aliases": [
		5	+ "Teams"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Microsoft Corporation",
		9	+ "slug": "microsoft",
		10	+ "website": "https://www.microsoft.com"
		11	+ },
		12	+ "homepage_url": "https://www.microsoft.com/en-us/microsoft-teams/group-chat-software",
		13	+ "docs_url": "https://learn.microsoft.com/en-us/microsoftteams/",
		14	+ "pricing_url": "https://www.microsoft.com/en-us/microsoft-teams/compare-microsoft-teams-business-options",
		15	+ "privacy_url": "https://www.microsoft.com/en-us/privacy/privacystatement",
		16	+ "product_type": "platform",
		17	+ "product_status": "active",
		18	+ "summary": "Microsoft's chat, meetings and calling hub integrated with Microsoft 365, SharePoint and Entra ID, extensible through Microsoft Graph and Teams apps",
		19	+ "description": "Microsoft Teams is Microsoft's collaboration hub combining persistent chat in teams and channels, video meetings and webinars, calling, file sharing backed by SharePoint and OneDrive, and tabs that embed Office documents, Planner, Loop components and third-party apps. It is licensed as part of Microsoft 365 suites or as a standalone plan, with a free tier for small groups, and it inherits identity, compliance, retention and data-loss policies from Microsoft 365 and Entra ID, which is why large organisations and universities standardise on it. Developers build bots, message extensions and tabs with the Teams platform, Bot Framework and Microsoft Graph APIs. Clients cover Windows, macOS, Linux (web), iOS, Android and browsers. The application is often criticised for client performance and interface complexity, external collaboration is more constrained than in Slack Connect, and it is cloud-only with administrative settings that can block integrations.",
		20	+ "capabilities": [
		21	+ "Teams and channels with threaded posts and chat",
		22	+ "Meetings, webinars and town halls with recording and transcription",
		23	+ "Calling and PSTN through Teams Phone",
		24	+ "Files in SharePoint and OneDrive with co-authoring",
		25	+ "Tabs, bots and message extensions via the Teams platform and Graph",
		26	+ "Compliance, retention and identity from Microsoft 365"
		27	+ ],
		28	+ "workflows": [
		29	+ "Run a course team with channels, assignments and recorded lectures",
		30	+ "Post alerts to a channel through an incoming webhook or Graph"
		31	+ ],
		32	+ "advantages": [
		33	+ "Bundled with Microsoft 365 licences",
		34	+ "Enterprise identity and compliance built in"
		35	+ ],
		36	+ "limitations": [
		37	+ "Client performance and interface complexity",
		38	+ "External collaboration more constrained than some rivals",
		39	+ "Cloud-only and admin-gated integrations"
		40	+ ],
		41	+ "prerequisites": [
		42	+ "Microsoft account or Microsoft 365 tenant"
		43	+ ],
		44	+ "audiences": [
		45	+ "Organisations on Microsoft 365",
		46	+ "Universities and public bodies",
		47	+ "IT administrators"
		48	+ ],
		49	+ "alternatives": [
		50	+ "slack",
		51	+ "zoom",
		52	+ "google-workspace",
		53	+ "discord"
		54	+ ],
		55	+ "comparison_notes": "Slack has a more open integration culture and cross-company channels; Zoom is stronger as a standalone meeting product; Google Workspace offers Chat and Meet with the same bundled logic for Google-centric organisations. Discord is community-focused and free.",
		56	+ "categories": [
		57	+ {
		58	+ "slug": "collaboration-communication",
		59	+ "primary": true
		60	+ },
		61	+ {
		62	+ "slug": "productivity-suites"
		63	+ }
		64	+ ],
		65	+ "tags": [
		66	+ "chat",
		67	+ "video-conferencing",
		68	+ "collaboration",
		69	+ "saas",
		70	+ "microsoft-365"
		71	+ ],
		72	+ "use_cases": [
		73	+ "collaborate",
		74	+ "teach-online"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "macos",
		79	+ "windows",
		80	+ "ios",
		81	+ "android"
		82	+ ],
		83	+ "execution_modes": [
		84	+ "cloud"
		85	+ ],
		86	+ "interfaces": [
		87	+ "web",
		88	+ "desktop",
		89	+ "mobile",
		90	+ "api"
		91	+ ],
		92	+ "deployment_models": [
		93	+ "saas"
		94	+ ],
		95	+ "integrations": [
		96	+ "SharePoint",
		97	+ "OneDrive",
		98	+ "Outlook",
		99	+ "Planner",
		100	+ "Power Automate",
		101	+ "Microsoft Graph",
		102	+ "Moodle"
		103	+ ],
		104	+ "data_formats": [
		105	+ "JSON (Graph API)",
		106	+ "MP4 recordings"
		107	+ ],
		108	+ "languages": [],
		109	+ "source_model": "proprietary",
		110	+ "pricing_model": [
		111	+ "freemium",
		112	+ "paid",
		113	+ "enterprise"
		114	+ ],
		115	+ "pricing_checked_at": "2026-11-02",
		116	+ "self_hostable": false,
		117	+ "sources": [
		118	+ {
		119	+ "url": "https://www.microsoft.com/en-us/microsoft-teams/group-chat-software",
		120	+ "type": "official_site",
		121	+ "supports": [
		122	+ "name",
		123	+ "summary"
		124	+ ],
		125	+ "checked_at": "2026-11-02",
		126	+ "title": "Microsoft Teams"
		127	+ },
		128	+ {
		129	+ "url": "https://learn.microsoft.com/en-us/microsoftteams/",
		130	+ "type": "official_docs",
		131	+ "supports": [
		132	+ "capabilities",
		133	+ "integrations"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "Microsoft Teams documentation"
		137	+ },
		138	+ {
		139	+ "url": "https://learn.microsoft.com/en-us/microsoftteams/platform/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "interfaces"
		143	+ ],
		144	+ "checked_at": "2026-11-02",
		145	+ "title": "Teams developer platform"
		146	+ },
		147	+ {
		148	+ "url": "https://www.microsoft.com/en-us/microsoft-teams/compare-microsoft-teams-business-options",
		149	+ "type": "pricing_page",
		150	+ "supports": [
		151	+ "pricing_model"
		152	+ ],
		153	+ "checked_at": "2026-11-02",
		154	+ "title": "Compare Microsoft Teams options"
		155	+ }
		156	+ ],
		157	+ "confidence": "high",
		158	+ "depth": "standard",
		159	+ "featured": false,
		160	+ "discovery_method": "editorial-research",
		161	+ "editorial_status": "reviewed",
		162	+ "visibility": "public",
		163	+ "author": "batch-F"
		164	+}

added content/tools/milvus.json +180 −0

				@@ -0,0 +1,180 @@
		1	+{
		2	+ "aliases": [
		3	+ "Milvus Lite",
		4	+ "Zilliz Cloud"
		5	+ ],
		6	+ "workflows": [
		7	+ "Large-scale semantic search over billions of vectors",
		8	+ "RAG backend on Kubernetes",
		9	+ "Local prototyping with Milvus Lite in a notebook"
		10	+ ],
		11	+ "advantages": [
		12	+ "Independent scaling of components",
		13	+ "Broad index selection including GPU",
		14	+ "Foundation governance and Apache 2.0"
		15	+ ],
		16	+ "limitations": [
		17	+ "Distributed mode requires etcd, object storage and a message queue",
		18	+ "Operational complexity for small teams",
		19	+ "Lite mode lacks some server features"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "Docker or Kubernetes for server modes; Python for Milvus Lite"
		23	+ ],
		24	+ "audiences": [
		25	+ "Platform teams running vector search at scale",
		26	+ "ML engineers evaluating index types"
		27	+ ],
		28	+ "alternatives": [
		29	+ "qdrant",
		30	+ "weaviate",
		31	+ "pgvector",
		32	+ "chroma",
		33	+ "pinecone",
		34	+ "elasticsearch"
		35	+ ],
		36	+ "tags": [
		37	+ "vector-search",
		38	+ "embeddings",
		39	+ "rag",
		40	+ "kubernetes",
		41	+ "open-source",
		42	+ "self-hosted"
		43	+ ],
		44	+ "use_cases": [
		45	+ "build-agents",
		46	+ "semantic-search"
		47	+ ],
		48	+ "operating_systems": [
		49	+ "linux",
		50	+ "macos",
		51	+ "windows"
		52	+ ],
		53	+ "deployment_models": [
		54	+ "on-premises",
		55	+ "managed-cloud",
		56	+ "embedded"
		57	+ ],
		58	+ "integrations": [
		59	+ "LangChain",
		60	+ "LlamaIndex",
		61	+ "Apache Kafka",
		62	+ "Apache Pulsar",
		63	+ "MinIO",
		64	+ "Amazon S3"
		65	+ ],
		66	+ "data_formats": [
		67	+ "JSON",
		68	+ "Parquet (bulk import)",
		69	+ "NumPy arrays (bulk import)"
		70	+ ],
		71	+ "languages": [
		72	+ "Go",
		73	+ "Python",
		74	+ "Java",
		75	+ "JavaScript",
		76	+ "C#"
		77	+ ],
		78	+ "self_hostable": true,
		79	+ "discovery_method": "editorial-research",
		80	+ "depth": "standard",
		81	+ "editorial_status": "reviewed",
		82	+ "visibility": "public",
		83	+ "featured": false,
		84	+ "author": "batch-D",
		85	+ "slug": "milvus",
		86	+ "name": "Milvus",
		87	+ "vendor": {
		88	+ "name": "Zilliz / LF AI & Data Foundation",
		89	+ "slug": "zilliz",
		90	+ "website": "https://zilliz.com/"
		91	+ },
		92	+ "homepage_url": "https://milvus.io/",
		93	+ "docs_url": "https://milvus.io/docs",
		94	+ "repo_url": "https://github.com/milvus-io/milvus",
		95	+ "license_url": "https://github.com/milvus-io/milvus/blob/master/LICENSE",
		96	+ "product_type": "database",
		97	+ "product_status": "active",
		98	+ "summary": "Open-source vector database from Zilliz with Lite, Standalone and Distributed deployments, many index types and GPU acceleration",
		99	+ "description": "Milvus is an open-source vector database created by Zilliz and governed under the LF AI & Data Foundation with an Apache 2.0 license. It is designed around a cloud-native, disaggregated architecture: in Distributed mode, query, data and index nodes scale independently over object storage and a message queue, while Standalone packs the components into one container and Milvus Lite runs as a Python library for notebooks and prototypes. The project offers a wide choice of index types (HNSW, IVF variants, DiskANN, GPU indexes), scalar filtering, hybrid dense-plus-sparse search, partitions and multi-tenancy, with SDKs for Python, Java, Go, Node.js and C# and a RESTful API. Zilliz Cloud is the managed service.\n\nMilvus is aimed at large collections where horizontal scaling and index flexibility matter. The distributed deployment depends on etcd, MinIO or S3 and Pulsar or Kafka, which makes it heavier to operate than single-binary engines; smaller teams typically start with Lite or Standalone. The website redirects for non-browser clients, but loads normally in a browser.",
		100	+ "capabilities": [
		101	+ "Lite (library), Standalone and Distributed deployment modes",
		102	+ "Many index types including HNSW, IVF, DiskANN and GPU indexes",
		103	+ "Scalar filtering, partitions and multi-tenancy",
		104	+ "Hybrid dense and sparse vector search",
		105	+ "SDKs for Python, Java, Go, Node.js and C# plus REST",
		106	+ "Managed Zilliz Cloud offering"
		107	+ ],
		108	+ "categories": [
		109	+ {
		110	+ "slug": "vector-databases",
		111	+ "primary": true
		112	+ },
		113	+ {
		114	+ "slug": "embeddings-vector-search"
		115	+ }
		116	+ ],
		117	+ "execution_modes": [
		118	+ "self-hosted",
		119	+ "cloud",
		120	+ "local"
		121	+ ],
		122	+ "interfaces": [
		123	+ "api",
		124	+ "sdk",
		125	+ "library"
		126	+ ],
		127	+ "source_model": "open-source",
		128	+ "license_spdx": "Apache-2.0",
		129	+ "pricing_model": [
		130	+ "open-source",
		131	+ "free",
		132	+ "usage-based",
		133	+ "enterprise"
		134	+ ],
		135	+ "sources": [
		136	+ {
		137	+ "url": "https://milvus.io/",
		138	+ "type": "official_site",
		139	+ "supports": [
		140	+ "name",
		141	+ "summary",
		142	+ "vendor"
		143	+ ],
		144	+ "checked_at": "2026-11-02",
		145	+ "title": "Milvus | High-Performance Vector Database Built for Scale",
		146	+ "note": "Returns HTTP 302 to itself for plain curl; loads in a browser-like fetcher"
		147	+ },
		148	+ {
		149	+ "url": "https://milvus.io/docs",
		150	+ "type": "official_docs",
		151	+ "supports": [
		152	+ "capabilities",
		153	+ "languages"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Milvus documentation"
		157	+ },
		158	+ {
		159	+ "url": "https://github.com/milvus-io/milvus/blob/master/LICENSE",
		160	+ "type": "license_page",
		161	+ "supports": [
		162	+ "license_spdx",
		163	+ "source_model"
		164	+ ],
		165	+ "checked_at": "2026-11-02",
		166	+ "title": "Milvus LICENSE (Apache 2.0)"
		167	+ },
		168	+ {
		169	+ "url": "https://github.com/milvus-io/milvus",
		170	+ "type": "repository",
		171	+ "supports": [
		172	+ "repo_url"
		173	+ ],
		174	+ "checked_at": "2026-11-02",
		175	+ "title": "milvus-io/milvus"
		176	+ }
		177	+ ],
		178	+ "confidence": "medium",
		179	+ "uncertainty_note": "Zilliz Cloud pricing was not reviewed, so no pricing_url is recorded; pricing_model reflects the existence of free, usage-based and enterprise managed tiers as described on the Milvus site."
		180	+}

added content/tools/minio.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "minio",
		3	+ "name": "MinIO (AIStor)",
		4	+ "aliases": ["MinIO", "MinIO Object Store", "AIStor", "AIStor Free"],
		5	+ "vendor": { "name": "MinIO, Inc.", "slug": "minio-inc", "website": "https://www.min.io" },
		6	+ "homepage_url": "https://www.min.io/",
		7	+ "docs_url": "https://docs.min.io/aistor/",
		8	+ "repo_url": "https://github.com/minio/minio",
		9	+ "pricing_url": "https://www.min.io/pricing",
		10	+ "product_type": "application",
		11	+ "product_status": "renamed",
		12	+ "summary": "S3-compatible object storage server; the AGPL community edition was archived in April 2026 and succeeded by MinIO's AIStor Free and AIStor Enterprise editions",
		13	+ "description": "MinIO is an S3-compatible object storage server from MinIO, Inc., long used to provide an S3 API on local disks, in Kubernetes and as a backup or data-lake target for tools such as restic, rclone and DuckDB. The community edition, written in Go and released under AGPL-3.0, was the usual way to self-host it: a single binary served buckets from one or more drives, with erasure coding, versioning, encryption and replication in distributed mode.\n\nIn April 2026 MinIO archived the public repository and marked it as no longer maintained, directing users to AIStor Free, a standalone edition under a free license for community use, and AIStor Enterprise, a distributed edition sold as a subscription with support. The AIStor documentation describes a single system serving objects over S3, tables over Iceberg and files over SFTP, licensed under the MinIO Software License, and lists installation on Kubernetes, Linux, containers, macOS and Windows.\n\nFor new deployments this means the open-source path has ended: the archived AGPL code still builds but will not receive fixes, and AIStor Free is proprietary. Teams that require open-source object storage are evaluating alternatives, while existing MinIO users must plan a migration or accept the new terms.",
		14	+ "capabilities": ["S3-compatible object storage API", "Erasure coding, versioning, object locking and server-side encryption", "Distributed mode across nodes and drives (archived community edition; Enterprise in AIStor)", "Iceberg table and SFTP file access in AIStor", "Kubernetes, Linux, container, macOS and Windows installation", "Console UI and mc command-line client"],
		15	+ "workflows": ["Provide an S3 endpoint on a local server for backups and data lakes", "Back a restic or rclone target with local disks", "Serve Parquet data lakes to DuckDB or Spark over S3"],
		16	+ "advantages": ["Broad S3 API compatibility", "Single-binary deployment", "Free standalone edition still offered"],
		17	+ "limitations": ["Community AGPL edition archived and unmaintained since April 2026", "AIStor Free is proprietary; distributed features require Enterprise", "Migration planning required for existing open-source users"],
		18	+ "prerequisites": ["Linux, macOS, Windows or Kubernetes host with local storage"],
		19	+ "audiences": ["Self-hosters and homelabs needing S3 storage", "Data teams running on-premises object stores"],
		20	+ "alternatives": ["aws", "rclone"],
		21	+ "comparison_notes": "Amazon S3 is the hosted original whose API MinIO implements; it removes operations but keeps data off-premises. rclone is a client that can serve a directory over S3 for light use and transfer data between MinIO and other stores, not a storage server with erasure coding.",
		22	+ "categories": [{ "slug": "backup-recovery", "primary": true, "label": "Object storage" }, { "slug": "data-catalogs" }],
		23	+ "tags": ["object-storage", "s3", "self-hosted", "go", "kubernetes", "source-available"],
		24	+ "use_cases": ["back-up-data", "store-data", "query-parquet-files"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["api", "cli", "web"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["Amazon S3 API clients", "restic", "rclone", "DuckDB", "Apache Spark", "Kubernetes", "Apache Iceberg"],
		30	+ "data_formats": ["S3 objects", "Apache Iceberg tables"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "mixed",
		33	+ "pricing_model": ["free", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.min.io/", "type": "official_site", "title": "MinIO", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/minio/minio", "type": "repository", "title": "minio/minio (archived)", "supports": ["product_status", "limitations", "description"], "checked_at": "2026-11-02", "note": "Repository archived by the owner on 2026-04-25 and marked no longer maintained; README points to AIStor Free and AIStor Enterprise. Archived code is AGPL-3.0." },
		39	+ { "url": "https://docs.min.io/aistor/", "type": "official_docs", "title": "AIStor Documentation", "supports": ["capabilities", "operating_systems"], "checked_at": "2026-11-02", "note": "States AIStor is licensed under the MinIO Software License." },
		40	+ { "url": "https://www.min.io/download", "type": "official_docs", "title": "Download AIStor", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://www.min.io/pricing", "type": "pricing_page", "title": "MinIO Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "medium",
		44	+ "uncertainty_note": "license_spdx omitted: the archived community code is AGPL-3.0 but the current AIStor products use the proprietary MinIO Software License. Status set to renamed because the community edition is discontinued and the vendor points to AIStor as successor.",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/mistral-ai.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "mistral-ai",
		3	+ "name": "Mistral AI",
		4	+ "aliases": ["La Plateforme", "Mistral Studio", "Le Chat", "Vibe"],
		5	+ "vendor": { "name": "Mistral AI", "slug": "mistral", "website": "https://mistral.ai" },
		6	+ "homepage_url": "https://mistral.ai/",
		7	+ "docs_url": "https://docs.mistral.ai/",
		8	+ "repo_url": "https://github.com/mistralai/client-python",
		9	+ "pricing_url": "https://mistral.ai/pricing/",
		10	+ "product_type": "platform",
		11	+ "product_status": "active",
		12	+ "summary": "French model provider offering open-weight and proprietary models through the Studio API, OCR and speech models, the Vibe agent for productivity and coding, and self-deployment options",
		13	+ "description": "Mistral AI is a Paris-based model developer whose platform is organized into Studio (the developer console and API with playground, evaluations, agents and SDKs), Vibe (a unified agent for productivity and coding on web, mobile, terminal and editor) and Admin (organization, billing and SSO controls). The model catalog mixes its own releases such as Mistral Large and Mistral Small, Devstral for coding, Voxtral for transcription and an OCR model with document layout output, with third-party open-weight models hosted under their own licenses. Several Mistral models are published as open weights, some under Apache-2.0 and newer large models under a Mistral-specific open-weight license that distinguishes research from commercial use.\n\nThe API bills per token with batch and cached-input discounts, OCR per page and speech per minute; consumer and team plans for Vibe run Free, Pro, Team and Enterprise, with an education discount. Enterprise customers can deploy in their own cloud or on-premises, and the open-weight models run on engines such as vLLM or llama.cpp. Mistral is attractive where European hosting, open weights or a hybrid of hosted and self-run models matter; its catalog is smaller than the largest US labs and license terms differ per model, so each should be checked.",
		14	+ "capabilities": ["Studio API with chat, embeddings, OCR, transcription, agents and fine-tuning", "Open-weight models deployable on your own hardware", "Vibe agent for documents and coding across web, mobile, CLI and editor", "Batch processing and cached-input pricing", "Admin console with SSO, workspaces and access policies", "Enterprise private cloud or on-premises deployment"],
		15	+ "workflows": ["Run an open-weight Mistral model locally and switch to the API for larger ones", "Extract text and layout from scanned PDFs with the OCR model", "Use Vibe in the terminal for coding tasks"],
		16	+ "advantages": ["Open-weight options alongside the hosted API", "European vendor with EU hosting", "Document OCR and speech models in the same platform"],
		17	+ "limitations": ["Licenses vary by model; newer large models restrict commercial self-deployment", "Smaller third-party ecosystem than OpenAI or Anthropic", "Rapid product renames (La Plateforme to Studio, Le Chat to Vibe) date older docs"],
		18	+ "prerequisites": ["Mistral account and API key, or hardware to run open weights"],
		19	+ "audiences": ["European organizations with hosting constraints", "Developers wanting open weights with a hosted fallback", "Teams needing OCR and speech alongside text models"],
		20	+ "alternatives": ["openai-platform", "claude-developer-platform", "gemini-api", "together-ai", "ollama"],
		21	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "ai-assistants", "label": "Vibe (formerly Le Chat)" }],
		22	+ "tags": ["llm", "api", "open-weights", "ocr", "speech", "python", "typescript"],
		23	+ "use_cases": ["build-agents", "run-local-models", "write-code-with-ai"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud", "self-hosted"],
		26	+ "interfaces": ["api", "sdk", "web", "cli", "mobile"],
		27	+ "deployment_models": ["saas", "on-premises", "managed-cloud"],
		28	+ "integrations": ["vLLM", "llama.cpp", "Ollama", "Hugging Face Hub", "LangChain", "LiteLLM"],
		29	+ "data_formats": ["JSON", "PDF (OCR)", "Audio", "Images"],
		30	+ "languages": ["Python", "TypeScript"],
		31	+ "source_model": "mixed",
		32	+ "pricing_model": ["freemium", "usage-based", "paid", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://mistral.ai/", "type": "official_site", "title": "Mistral AI", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.mistral.ai/", "type": "official_docs", "title": "Mistral AI documentation", "supports": ["capabilities", "interfaces", "source_model"], "checked_at": "2026-11-02", "note": "Describes Studio, Vibe and Admin; lists per-model licenses" },
		38	+ { "url": "https://mistral.ai/pricing/", "type": "pricing_page", "supports": ["pricing_model", "deployment_models"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/mistralai/client-python", "type": "repository", "title": "client-python (Apache-2.0)", "supports": ["languages"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "No single license_spdx applies: the hosted platform is proprietary and open-weight models carry per-model licenses (Apache-2.0 for some, a Mistral open-weight license for others).",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/mkdocs.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "mkdocs",
		3	+ "name": "MkDocs",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "MkDocs project (Tom Christie and contributors)", "slug": "mkdocs-project", "website": "https://www.mkdocs.org" },
		6	+ "homepage_url": "https://www.mkdocs.org/",
		7	+ "docs_url": "https://www.mkdocs.org/user-guide/",
		8	+ "repo_url": "https://github.com/mkdocs/mkdocs",
		9	+ "license_url": "https://github.com/mkdocs/mkdocs/blob/master/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Python static site generator for project documentation that builds a navigable site from Markdown files and a single YAML configuration",
		13	+ "description": "MkDocs is a static site generator for software documentation written in Python and released under the BSD-2-Clause license. A project is a directory of Markdown files and a `mkdocs.yml` file describing the site name, navigation and theme; the build command produces a self-contained HTML site that can be served from any web server or GitHub Pages, and a development server rebuilds on file changes.\n\nMost of its practical reach comes from the ecosystem around it: the Material for MkDocs theme adds search, navigation tabs, versioning hooks, admonitions and dark mode, and plugins such as mkdocstrings generate API reference pages from Python docstrings. MkDocs is a common choice for Python libraries, internal runbooks and tool documentation where a simple Markdown-first workflow is preferred over Sphinx's reStructuredText or a JavaScript framework. Limits include dependence on third-party themes and plugins for features that other generators ship by default, no built-in versioned documentation (handled by the mike tool), and weaker support for multi-language API references outside Python.",
		14	+ "capabilities": ["Markdown source with YAML navigation configuration", "Live-reloading development server", "Theme and plugin system (Material, mkdocstrings)", "Built-in search index", "Static output deployable to any host or GitHub Pages"],
		15	+ "workflows": ["Document a Python package with auto-generated API pages", "Publish internal runbooks from a Git repository", "Deploy documentation on every push with GitHub Actions"],
		16	+ "advantages": ["Simple configuration and fast setup", "Markdown-only authoring", "BSD license"],
		17	+ "limitations": ["Advanced features depend on third-party themes and plugins", "No built-in versioning", "API reference generation is strongest for Python"],
		18	+ "prerequisites": ["Python; install with uv or pip"],
		19	+ "audiences": ["Python library maintainers", "Teams writing technical documentation"],
		20	+ "alternatives": ["sphinx", "docusaurus", "quarto"],
		21	+ "comparison_notes": "Sphinx is the older Python documentation system with reStructuredText, cross-referencing and the broadest API-documentation support, at the cost of more configuration. Docusaurus is a React-based generator suited to documentation with interactive components and versioning built in. Quarto targets scientific and computational documents with executable code rather than software reference docs.",
		22	+ "categories": [{ "slug": "documentation", "primary": true }],
		23	+ "tags": ["documentation", "python", "markdown", "open-source", "static-site"],
		24	+ "use_cases": [],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["Material for MkDocs", "mkdocstrings", "GitHub Pages", "GitHub Actions", "Read the Docs"],
		30	+ "data_formats": ["Markdown", "YAML", "HTML"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "BSD-2-Clause",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.mkdocs.org/", "type": "official_site", "title": "MkDocs", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.mkdocs.org/user-guide/", "type": "official_docs", "title": "MkDocs User Guide", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/mkdocs/mkdocs/blob/master/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/mlx-lm.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "mlx-lm",
		3	+ "name": "MLX LM",
		4	+ "aliases": ["mlx-lm", "mlx_lm"],
		5	+ "vendor": { "name": "Apple (MLX contributors)", "slug": "apple", "website": "https://github.com/ml-explore" },
		6	+ "homepage_url": "https://github.com/ml-explore/mlx-lm",
		7	+ "docs_url": "https://github.com/ml-explore/mlx-lm",
		8	+ "repo_url": "https://github.com/ml-explore/mlx-lm",
		9	+ "license_url": "https://github.com/ml-explore/mlx-lm/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Python package and CLI for running, serving, quantizing and fine-tuning large language models on Apple Silicon with MLX",
		13	+ "description": "MLX LM is the LLM toolkit of Apple's MLX project: a Python package, published on PyPI as `mlx-lm` under the MIT license, that loads transformer language models from the Hugging Face Hub and runs them on Apple Silicon. It began as part of the `mlx-examples` repository and now lives in its own repository maintained by the MLX contributors.\n\nThe package exposes a small set of command-line entry points and a matching Python API. `mlx_lm.generate` and `mlx_lm.chat` produce text or hold an interactive session; `mlx_lm.convert` downloads a Hub checkpoint, converts it to MLX format and optionally quantizes it (4-bit is the common choice) and uploads the result; `mlx_lm.server` starts a local HTTP server with an OpenAI-style chat completions endpoint; `mlx_lm.lora` performs LoRA or full fine-tuning, including on quantized models. In Python, `load`, `generate` and `stream_generate` cover most scripting needs, with hooks for custom samplers and logits processors. Prompt caching, a rotating KV cache for long contexts and batch generation are built in, and `mx.distributed` lets inference or fine-tuning span several Macs.\n\nMLX LM is the usual way a Mac owner runs a quantized Llama, Qwen, Mistral or Gemma model locally without a GUI, and it underpins many of the pre-converted models in the `mlx-community` Hub organization. Typical users are developers building local assistants, researchers fine-tuning small models, and operators serving models on Mac Studios.\n\nLimits: it only runs on Apple Silicon, only architectures that have been ported are supported (new families need code contributions), very large models are bounded by unified memory, and the server is meant for local or trusted-network use rather than as a hardened production gateway.",
		14	+ "capabilities": ["Text generation and interactive chat from the command line or Python", "Conversion and quantization of Hugging Face checkpoints to MLX format", "Local OpenAI-compatible HTTP server", "LoRA and full fine-tuning, including on quantized models", "Prompt caching and rotating KV cache for long contexts", "Distributed inference and fine-tuning across several Macs"],
		15	+ "workflows": ["Download, quantize and run a chat model on a MacBook", "Serve a local model to tools that speak the OpenAI API", "Fine-tune a small model on domain data with LoRA", "Publish a converted model to the mlx-community Hub organization"],
		16	+ "advantages": ["Minimal setup: pip install and one command", "Direct access to thousands of Hub models", "MIT license and active development alongside MLX", "Python API that fits into existing scripts"],
		17	+ "limitations": ["Apple Silicon only", "Only ported model architectures are supported", "Model size is bounded by the Mac's unified memory", "Server is not designed as a production gateway with auth or multi-tenancy"],
		18	+ "prerequisites": ["Mac with Apple Silicon", "Python 3.11 or newer", "Hugging Face Hub access for model downloads"],
		19	+ "audiences": ["Developers running local LLMs on Macs", "Researchers fine-tuning small models", "Operators serving models on Apple Silicon workstations"],
		20	+ "alternatives": ["ollama", "llama-cpp", "lm-studio", "vllm"],
		21	+ "comparison_notes": "Ollama and LM Studio wrap llama.cpp-style engines in a packaged runtime or desktop app and run on macOS, Linux and Windows; MLX LM is a Python library tied to MLX and Apple Silicon, which makes it more scriptable and gives it fine-tuning, at the cost of portability. llama.cpp is the C/C++ engine with GGUF quantization that those tools use; MLX LM uses MLX's own quantized format. vLLM targets high-throughput GPU serving on Linux and has no comparable role on a Mac.",
		22	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "local-inference" }, { "slug": "model-training" }],
		23	+ "tags": ["apple-silicon", "macos", "llm", "open-source", "python", "cli", "quantization", "fine-tuning"],
		24	+ "use_cases": ["run-local-models", "fine-tune-models", "serve-models"],
		25	+ "operating_systems": ["macos"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["cli", "library", "api"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["MLX", "Hugging Face Hub", "OpenAI-compatible clients", "exo"],
		30	+ "data_formats": ["safetensors", "MLX quantized weights", "JSONL (fine-tuning data)"],
		31	+ "languages": ["Python"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://github.com/ml-explore/mlx-lm", "type": "official_site", "title": "ml-explore/mlx-lm README", "supports": ["name", "summary", "capabilities", "prerequisites", "limitations"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://pypi.org/project/mlx-lm/", "type": "package_registry", "title": "mlx-lm on PyPI", "supports": ["prerequisites", "product_status"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/ml-explore/mlx-lm/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "deep",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-C"
		48	+}

added content/tools/mlx-whisper.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "mlx-whisper",
		3	+ "name": "MLX Whisper",
		4	+ "aliases": ["mlx-whisper", "mlx_whisper"],
		5	+ "vendor": { "name": "Apple (MLX contributors)", "slug": "apple", "website": "https://github.com/ml-explore" },
		6	+ "homepage_url": "https://github.com/ml-explore/mlx-examples/tree/main/whisper",
		7	+ "docs_url": "https://pypi.org/project/mlx-whisper/",
		8	+ "repo_url": "https://github.com/ml-explore/mlx-examples",
		9	+ "license_url": "https://github.com/ml-explore/mlx-examples/blob/main/LICENSE",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Port of OpenAI's Whisper speech-recognition models to MLX, offering a CLI and Python API for local transcription on Apple Silicon",
		13	+ "description": "MLX Whisper is the Whisper example from Apple's `mlx-examples` repository packaged as a PyPI library (`mlx-whisper`, MIT license). It runs OpenAI's open Whisper speech-recognition models on Apple Silicon through MLX rather than PyTorch, using pre-converted weights hosted in the `mlx-community` organization on the Hugging Face Hub or models you convert yourself.\n\nThe `mlx_whisper` command transcribes an audio file, or audio piped on standard input, into text, SRT, VTT or JSON output, with options for model choice, language and translation. The Python `transcribe` function returns segments and can produce word-level timestamps. ffmpeg must be installed for audio decoding. It is a convenient choice for researchers and developers who want fast local transcription of lectures, interviews or recordings without sending audio to a cloud service.\n\nLimits are those of Whisper itself (accuracy varies by language and audio quality, no built-in speaker diarization) plus the Apple Silicon requirement; it is a focused example package rather than a full transcription product.",
		14	+ "capabilities": ["Local transcription of audio files or stdin streams", "Multiple output formats including text, SRT, VTT and JSON", "Word-level timestamps", "Choice of Whisper model sizes from the Hugging Face Hub", "Python API alongside the command-line tool"],
		15	+ "workflows": ["Transcribe recorded lectures or meetings on a Mac", "Batch-generate subtitles for a video archive", "Embed speech-to-text in a local Python pipeline"],
		16	+ "advantages": ["No cloud dependency; audio stays on the machine", "Simple pip install and single command", "MIT license"],
		17	+ "limitations": ["Apple Silicon only", "No speaker diarization", "Requires ffmpeg and model downloads", "Maintained as an example package rather than a standalone product"],
		18	+ "prerequisites": ["Mac with Apple Silicon", "Python 3.8 or newer", "ffmpeg"],
		19	+ "audiences": ["Researchers transcribing interviews and lectures", "Developers adding local speech-to-text to Mac tools"],
		20	+ "alternatives": ["whisper", "mlx"],
		21	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "speech-vision-multimodal" }],
		22	+ "tags": ["apple-silicon", "macos", "speech-recognition", "transcription", "open-source", "python", "cli"],
		23	+ "use_cases": ["run-local-models", "transcribe-audio"],
		24	+ "operating_systems": ["macos"],
		25	+ "execution_modes": ["local"],
		26	+ "interfaces": ["cli", "library"],
		27	+ "deployment_models": ["desktop"],
		28	+ "integrations": ["MLX", "Hugging Face Hub", "ffmpeg"],
		29	+ "data_formats": ["MP3", "WAV", "M4A (via ffmpeg)", "TXT", "SRT", "VTT", "JSON"],
		30	+ "languages": ["Python"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://github.com/ml-explore/mlx-examples/tree/main/whisper", "type": "official_site", "title": "mlx-examples/whisper README", "supports": ["name", "summary", "capabilities", "prerequisites"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://pypi.org/project/mlx-whisper/", "type": "package_registry", "title": "mlx-whisper on PyPI", "supports": ["product_status", "prerequisites", "license_spdx"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/ml-explore/mlx-examples/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/mlx.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "mlx",
		3	+ "name": "MLX",
		4	+ "aliases": ["Apple MLX", "ml-explore/mlx"],
		5	+ "vendor": { "name": "Apple (machine learning research)", "slug": "apple", "website": "https://ml-explore.github.io/mlx/" },
		6	+ "homepage_url": "https://ml-explore.github.io/mlx/",
		7	+ "docs_url": "https://ml-explore.github.io/mlx/build/html/index.html",
		8	+ "repo_url": "https://github.com/ml-explore/mlx",
		9	+ "license_url": "https://github.com/ml-explore/mlx/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory",
		13	+ "description": "MLX is an open-source array framework for machine learning research on Apple Silicon, developed by Apple's machine learning research group and released under the MIT license. It belongs to the same family as NumPy, PyTorch and JAX: arrays, automatic differentiation, automatic vectorization and composable function transformations, with a Python API that deliberately mirrors NumPy and higher-level `mlx.nn` and `mlx.optimizers` modules that resemble PyTorch.\n\nTwo design choices distinguish it. Arrays live in the Mac's unified memory, so an operation can run on the CPU or the GPU without copying data between device buffers. Computation is lazy: graphs are built as you call functions and materialized only when a result is needed, which lets the framework fuse and schedule work. Beyond Python there are C++ and Swift bindings (MLX Swift), and a distributed module with all-reduce, all-gather and point-to-point primitives for running data- or tensor-parallel jobs across several Macs connected by Ethernet or Thunderbolt.\n\nIn practice MLX is the engine under a growing set of Apple Silicon tools: the `mlx-lm` package for LLM inference and fine-tuning, `mlx-whisper` for speech recognition, the `mlx-community` model collection on the Hugging Face Hub, and distributed-inference projects such as exo. Researchers and developers who want to run or adapt models locally on a Mac Studio or MacBook, or build a small cluster of Macs, are the primary audience.\n\nIts limits follow from its focus: MLX runs only on Apple Silicon (with a CPU-only Linux build for development), the operator and model ecosystem is smaller than PyTorch's, and multi-machine training is young compared with mature CUDA tooling. Models usually need to be converted into MLX format before use.",
		14	+ "capabilities": ["NumPy-like array API with automatic differentiation and vectorization", "Lazy evaluation with unified CPU/GPU memory on Apple Silicon", "Neural-network and optimizer modules for training", "Python, C++ and Swift bindings", "Distributed communication primitives for multi-Mac data and tensor parallelism", "Quantized weights and kernel fusion for inference"],
		15	+ "workflows": ["Run a quantized LLM locally through mlx-lm", "Fine-tune a model with LoRA on a single Mac", "Prototype a research model in Python and port it to Swift for an app", "Shard a large model across several Macs with mx.distributed"],
		16	+ "advantages": ["Uses the full unified memory of a Mac for large models", "Familiar API for NumPy and PyTorch users", "Permissive MIT license and active Apple-backed development", "Swift bindings for on-device apps"],
		17	+ "limitations": ["Apple Silicon only; Linux build is CPU-only", "Smaller operator and pretrained-model ecosystem than PyTorch", "Models must be converted to MLX format", "Multi-node training tooling is less mature than CUDA-based stacks"],
		18	+ "prerequisites": ["A Mac with Apple Silicon", "Python 3.10 or newer for the Python package", "Xcode or Swift toolchain for the Swift bindings"],
		19	+ "audiences": ["ML researchers working on Macs", "Developers shipping on-device models in Swift apps", "Operators of small Apple Silicon clusters"],
		20	+ "alternatives": ["pytorch", "jax", "llama-cpp", "core-ml"],
		21	+ "comparison_notes": "PyTorch and JAX are the general-purpose frameworks MLX borrows from; both run on Apple Silicon through Metal backends but treat the Mac as one of many targets, whereas MLX is built around unified memory and lazy evaluation specifically for it. llama.cpp also runs quantized LLMs on Macs with Metal but is a C/C++ inference engine rather than a training framework. Core ML is Apple's deployment runtime for packaged models inside apps; MLX is a research and training library that can also serve models, and Apple positions them as complementary.",
		22	+ "categories": [{ "slug": "apple-silicon-ml", "primary": true }, { "slug": "model-training" }, { "slug": "local-inference" }],
		23	+ "tags": ["apple-silicon", "macos", "open-source", "python", "swift", "llm", "arrays", "gpu"],
		24	+ "use_cases": ["run-local-models", "fine-tune-models", "serve-models"],
		25	+ "operating_systems": ["macos", "linux"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["library", "sdk"],
		28	+ "deployment_models": ["embedded"],
		29	+ "integrations": ["Hugging Face Hub", "mlx-lm", "mlx-whisper", "exo", "Swift Package Manager", "pip / conda"],
		30	+ "data_formats": ["safetensors", "NumPy arrays", "GGUF (import)"],
		31	+ "languages": ["Python", "C++", "Swift"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://ml-explore.github.io/mlx/", "type": "official_site", "title": "MLX documentation", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://ml-explore.github.io/mlx/build/html/index.html", "type": "official_docs", "title": "MLX — unified memory, lazy evaluation, distributed", "supports": ["capabilities", "languages", "description"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/ml-explore/mlx", "type": "repository", "title": "ml-explore/mlx on GitHub", "supports": ["repo_url", "product_status"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/ml-explore/mlx/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": true,
		48	+ "author": "batch-C"
		49	+}

added content/tools/model-context-protocol.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "model-context-protocol",
		3	+ "name": "Model Context Protocol",
		4	+ "aliases": ["MCP", "modelcontextprotocol"],
		5	+ "vendor": { "name": "Model Context Protocol, a Series of LF Projects, LLC (originated by Anthropic)", "slug": "mcp-project", "website": "https://modelcontextprotocol.io" },
		6	+ "homepage_url": "https://modelcontextprotocol.io/",
		7	+ "docs_url": "https://modelcontextprotocol.io/docs/2026-07-28/getting-started/intro",
		8	+ "repo_url": "https://github.com/modelcontextprotocol/modelcontextprotocol",
		9	+ "license_url": "https://github.com/modelcontextprotocol/modelcontextprotocol/blob/main/LICENSE",
		10	+ "product_type": "specification",
		11	+ "product_status": "active",
		12	+ "summary": "Open JSON-RPC standard for connecting AI applications to tools, data and prompts through servers, now stewarded under the Linux Foundation with SDKs in many languages",
		13	+ "description": "The Model Context Protocol (MCP) is an open standard that lets AI applications connect to external systems in a uniform way. Anthropic published it in November 2024; by late 2025 the project had been placed under the Linux Foundation as \"Model Context Protocol, a Series of LF Projects, LLC\", with a maintainer-led governance model, working groups and a Specification Enhancement Proposal process. New contributions are licensed Apache-2.0 (documentation CC-BY-4.0) while older code remains MIT during a relicensing transition.\n\nThe architecture has three roles: hosts (the AI application, such as Claude, ChatGPT, VS Code or Cursor), clients (connectors inside the host) and servers that expose capabilities. Servers offer tools (functions the model may call), resources (data for the user or model) and prompts (templated workflows); clients may offer elicitation, which lets a server ask the user for input. Messages are JSON-RPC 2.0 over stdio for local servers or Streamable HTTP for remote ones, with capability negotiation per session and an authorization specification based on OAuth for remote servers. The current specification revision is dated 2026-07-28 and adds optional extensions: Tasks for long-running asynchronous operations, Skills over MCP for structured agent instructions, and MCP Apps for interactive UI rendered inside conversations. Official SDKs exist for TypeScript, Python and several other languages, and the specification stresses explicit user consent before tool execution.\n\nFor a developer, MCP means writing one server for a database, API or internal tool and having it work across every compliant assistant and coding agent. Its limits are those of a young standard: the spec changes yearly, security depends heavily on host implementation, remote-server authorization is still maturing, and tool descriptions are untrusted input that can carry prompt injection.",
		14	+ "capabilities": ["Standard tool, resource and prompt primitives exposed by servers", "JSON-RPC 2.0 over stdio and Streamable HTTP transports", "Per-session capability negotiation and OAuth-based authorization for remote servers", "Elicitation for server-initiated user input", "Extensions: Tasks (async operations), Skills over MCP and MCP Apps (inline UI)", "Official SDKs for TypeScript, Python and other languages", "Adopted by Claude, ChatGPT, VS Code, Cursor and many other hosts", "Open governance with SEPs and working groups"],
		15	+ "workflows": ["Write one MCP server for an internal database and use it from Claude Code, Cursor and ChatGPT", "Expose a hosted API as a remote server with OAuth so a team can connect from any client", "Package domain instructions as skills discoverable over MCP"],
		16	+ "advantages": ["Vendor-neutral foundation governance", "Broad adoption across assistants and coding agents", "Simple to implement with the official SDKs", "Local and remote transports cover desktop and server scenarios"],
		17	+ "limitations": ["Specification revised annually; clients and servers may lag", "Security depends on host-side consent and sandboxing", "Tool descriptions are untrusted and can carry injection attempts", "Licensing transition means mixed MIT/Apache-2.0 provenance in older code"],
		18	+ "prerequisites": ["An MCP-capable host application", "A runtime for the chosen SDK (Node.js, Python, etc.)"],
		19	+ "audiences": ["Developers integrating tools and data with AI assistants", "Vendors exposing their products to agents", "Platform teams standardizing agent integrations"],
		20	+ "alternatives": ["openai-agents-sdk", "langchain", "claude-code"],
		21	+ "comparison_notes": "MCP standardizes the connection between an agent and its tools, whereas agent frameworks such as the OpenAI Agents SDK or LangChain define the loop that uses those tools; most of them now include MCP client support, so the two are complementary rather than competing. Vendor-specific function-calling schemas remain the alternative when only one host matters. Claude Code is listed here as a reference host that consumes MCP servers.",
		22	+ "categories": [{ "slug": "agent-frameworks", "primary": true }, { "slug": "api-development", "label": "Protocol specification" }],
		23	+ "tags": ["mcp", "agents", "open-source", "api", "json-rpc", "typescript", "python", "specification"],
		24	+ "use_cases": ["build-agents", "write-code-with-ai"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["sdk", "api", "mcp-server"],
		28	+ "deployment_models": ["embedded", "on-premises", "saas"],
		29	+ "integrations": ["Claude", "Claude Code", "ChatGPT", "VS Code", "Cursor", "LM Studio", "Ollama", "Langfuse"],
		30	+ "data_formats": ["JSON-RPC 2.0", "JSON Schema"],
		31	+ "languages": ["TypeScript", "Python", "Java", "Kotlin", "C#", "Go", "Rust", "Swift"],
		32	+ "source_model": "open-source",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://modelcontextprotocol.io/docs/2026-07-28/getting-started/intro", "type": "official_site", "title": "What is the Model Context Protocol?", "supports": ["name", "summary", "integrations"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://modelcontextprotocol.io/specification/2026-07-28", "type": "official_docs", "title": "MCP Specification 2026-07-28", "supports": ["capabilities", "data_formats"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://modelcontextprotocol.io/community/governance", "type": "official_docs", "title": "Governance and Stewardship", "supports": ["vendor", "source_model"], "checked_at": "2026-11-02", "note": "Project established as Model Context Protocol, a Series of LF Projects, LLC; Apache-2.0 for code and specs, CC-BY-4.0 for docs" },
		39	+ { "url": "https://github.com/modelcontextprotocol/modelcontextprotocol/blob/main/LICENSE", "type": "license_page", "supports": ["source_model"], "checked_at": "2026-11-02", "note": "Describes the MIT to Apache-2.0 relicensing transition" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "license_spdx is omitted because the repository is in a documented MIT-to-Apache-2.0 transition with mixed provenance; new contributions are Apache-2.0. The language list reflects SDKs referenced in the official docs and may change.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": true,
		48	+ "author": "batch-A"
		49	+}

added content/tools/mongodb.json +182 −0

				@@ -0,0 +1,182 @@
		1	+{
		2	+ "aliases": [
		3	+ "MongoDB Community Server",
		4	+ "MongoDB Atlas"
		5	+ ],
		6	+ "workflows": [
		7	+ "Content and catalog storage for web and mobile apps",
		8	+ "Event and log ingestion with time-series collections",
		9	+ "Vector search for RAG in Atlas"
		10	+ ],
		11	+ "advantages": [
		12	+ "Schema flexibility for evolving document models",
		13	+ "Official drivers for most languages",
		14	+ "Managed service with a free tier"
		15	+ ],
		16	+ "limitations": [
		17	+ "SSPL restricts offering MongoDB as a service",
		18	+ "Joins and multi-collection constraints weaker than SQL",
		19	+ "Vector and full-text search features are tied to Atlas"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "A server or container, or an Atlas account"
		23	+ ],
		24	+ "audiences": [
		25	+ "Application developers",
		26	+ "Teams building document-centric APIs"
		27	+ ],
		28	+ "alternatives": [
		29	+ "postgresql",
		30	+ "mysql",
		31	+ "elasticsearch",
		32	+ "supabase"
		33	+ ],
		34	+ "tags": [
		35	+ "document-database",
		36	+ "nosql",
		37	+ "self-hosted",
		38	+ "json",
		39	+ "vector-search"
		40	+ ],
		41	+ "use_cases": [
		42	+ "store-application-data",
		43	+ "host-web-apps"
		44	+ ],
		45	+ "operating_systems": [
		46	+ "linux",
		47	+ "macos",
		48	+ "windows"
		49	+ ],
		50	+ "deployment_models": [
		51	+ "on-premises",
		52	+ "managed-cloud"
		53	+ ],
		54	+ "integrations": [
		55	+ "Mongoose",
		56	+ "Prisma",
		57	+ "MongoDB Compass",
		58	+ "LangChain",
		59	+ "LlamaIndex"
		60	+ ],
		61	+ "data_formats": [
		62	+ "BSON",
		63	+ "JSON",
		64	+ "CSV (mongoimport)"
		65	+ ],
		66	+ "languages": [
		67	+ "JavaScript",
		68	+ "Python",
		69	+ "Java",
		70	+ "Go",
		71	+ "C#",
		72	+ "Rust",
		73	+ "Swift"
		74	+ ],
		75	+ "self_hostable": true,
		76	+ "discovery_method": "editorial-research",
		77	+ "depth": "standard",
		78	+ "editorial_status": "reviewed",
		79	+ "visibility": "public",
		80	+ "featured": false,
		81	+ "author": "batch-D",
		82	+ "slug": "mongodb",
		83	+ "name": "MongoDB",
		84	+ "vendor": {
		85	+ "name": "MongoDB, Inc.",
		86	+ "slug": "mongodb-inc",
		87	+ "website": "https://www.mongodb.com/"
		88	+ },
		89	+ "homepage_url": "https://www.mongodb.com/",
		90	+ "docs_url": "https://www.mongodb.com/docs/",
		91	+ "repo_url": "https://github.com/mongodb/mongo",
		92	+ "license_url": "https://www.mongodb.com/legal/licensing/server-side-public-license",
		93	+ "pricing_url": "https://www.mongodb.com/pricing",
		94	+ "pricing_checked_at": "2026-11-02",
		95	+ "product_type": "database",
		96	+ "product_status": "active",
		97	+ "summary": "Document database storing BSON documents with a rich aggregation pipeline, available as a source-available Community Server or the managed Atlas service",
		98	+ "description": "MongoDB is a document-oriented database developed by MongoDB, Inc. Data is stored as BSON documents grouped in collections, with flexible schemas, secondary indexes and an aggregation pipeline for transformations and analytics. Replica sets provide high availability and sharding distributes collections across nodes. Multi-document ACID transactions, change streams, time-series collections and Atlas Search and Vector Search are part of the current platform.\n\nThe Community Server is licensed under the Server Side Public License (SSPL), which the Open Source Initiative does not classify as open source, so it is recorded here as source-available. MongoDB Atlas is the managed multi-cloud service with a free tier and usage-based clusters; Enterprise Advanced covers self-managed commercial deployments. Official drivers exist for the major languages, and the Mongoose and Prisma ecosystems are common in JavaScript projects.\n\nMongoDB suits applications whose records are naturally nested and whose schema evolves quickly; relational joins and strict constraints are weaker than in SQL systems, and the SSPL limits offering it as a hosted service.",
		99	+ "capabilities": [
		100	+ "BSON document storage with flexible schemas",
		101	+ "Aggregation pipeline for transformation and analytics",
		102	+ "Replica sets and sharding for availability and scale",
		103	+ "Multi-document ACID transactions and change streams",
		104	+ "Time-series collections",
		105	+ "Atlas Search and Vector Search in the managed service"
		106	+ ],
		107	+ "categories": [
		108	+ {
		109	+ "slug": "nosql-databases",
		110	+ "primary": true
		111	+ }
		112	+ ],
		113	+ "execution_modes": [
		114	+ "self-hosted",
		115	+ "cloud"
		116	+ ],
		117	+ "interfaces": [
		118	+ "cli",
		119	+ "api",
		120	+ "library",
		121	+ "web"
		122	+ ],
		123	+ "source_model": "source-available",
		124	+ "license_spdx": "SSPL-1.0",
		125	+ "pricing_model": [
		126	+ "free",
		127	+ "freemium",
		128	+ "usage-based",
		129	+ "enterprise"
		130	+ ],
		131	+ "sources": [
		132	+ {
		133	+ "url": "https://www.mongodb.com/",
		134	+ "type": "official_site",
		135	+ "supports": [
		136	+ "name",
		137	+ "summary"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "MongoDB"
		141	+ },
		142	+ {
		143	+ "url": "https://www.mongodb.com/docs/",
		144	+ "type": "official_docs",
		145	+ "supports": [
		146	+ "capabilities",
		147	+ "languages"
		148	+ ],
		149	+ "checked_at": "2026-11-02",
		150	+ "title": "MongoDB Documentation"
		151	+ },
		152	+ {
		153	+ "url": "https://www.mongodb.com/legal/licensing/server-side-public-license",
		154	+ "type": "license_page",
		155	+ "supports": [
		156	+ "license_spdx",
		157	+ "source_model"
		158	+ ],
		159	+ "checked_at": "2026-11-02",
		160	+ "title": "Server Side Public License"
		161	+ },
		162	+ {
		163	+ "url": "https://www.mongodb.com/pricing",
		164	+ "type": "pricing_page",
		165	+ "supports": [
		166	+ "pricing_model"
		167	+ ],
		168	+ "checked_at": "2026-11-02",
		169	+ "title": "MongoDB Pricing"
		170	+ },
		171	+ {
		172	+ "url": "https://github.com/mongodb/mongo",
		173	+ "type": "repository",
		174	+ "supports": [
		175	+ "repo_url"
		176	+ ],
		177	+ "checked_at": "2026-11-02",
		178	+ "title": "mongodb/mongo"
		179	+ }
		180	+ ],
		181	+ "confidence": "high"
		182	+}

added content/tools/moodle.json +174 −0

				@@ -0,0 +1,174 @@
		1	+{
		2	+ "slug": "moodle",
		3	+ "name": "Moodle",
		4	+ "aliases": [
		5	+ "Moodle LMS",
		6	+ "MoodleCloud"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Moodle Pty Ltd (Moodle HQ)",
		10	+ "slug": "moodle",
		11	+ "website": "https://moodle.com"
		12	+ },
		13	+ "homepage_url": "https://moodle.com/",
		14	+ "docs_url": "https://moodledev.io/",
		15	+ "repo_url": "https://github.com/moodle/moodle",
		16	+ "pricing_url": "https://moodle.com/products/moodlecloud/",
		17	+ "license_url": "https://github.com/moodle/moodle/blob/main/COPYING.txt",
		18	+ "product_type": "platform",
		19	+ "product_status": "active",
		20	+ "summary": "Open-source learning management system used by universities and schools for courses, assignments, quizzes, grading and forums, self-hosted or via MoodleCloud",
		21	+ "description": "Moodle is an open-source learning management system developed by Moodle HQ (Moodle Pty Ltd) and a worldwide community, and it is the platform most universities in Québec and many elsewhere use to run courses. A PHP application backed by MySQL, MariaDB or PostgreSQL, it provides course pages with resources and activities, assignments with rubrics and feedback, quiz engines with question banks, forums, gradebooks, attendance, competency tracking, H5P interactive content, LTI integration with external tools, and plugins from a public directory. Institutions self-host it or use partners and MoodleCloud hosting from Moodle HQ; mobile apps complement the web interface. Instructors mainly interact through the course editor, gradebook and assignment grading screens, while web-service APIs allow scripted operations. The interface is dense and institution-themed, upgrades and plugin compatibility require administration, and pedagogical features vary with the hosting institution's configuration and enabled plugins.",
		22	+ "capabilities": [
		23	+ "Course pages with resources, activities and completion tracking",
		24	+ "Assignments with rubrics, annotation and feedback",
		25	+ "Quiz engine with question banks and automated grading",
		26	+ "Gradebook, forums and messaging",
		27	+ "LTI, H5P and plugin ecosystem",
		28	+ "Web services API and mobile apps",
		29	+ "Self-hosted or MoodleCloud deployment"
		30	+ ],
		31	+ "workflows": [
		32	+ "Publish weekly course materials and collect assignments for grading",
		33	+ "Build a question bank and deploy a timed online exam"
		34	+ ],
		35	+ "advantages": [
		36	+ "GPL open source with no licence fees for self-hosting",
		37	+ "Very large installed base and plugin directory"
		38	+ ],
		39	+ "limitations": [
		40	+ "Dense interface; configuration depends on the institution",
		41	+ "Upgrades and plugin compatibility need administration",
		42	+ "Performance at scale requires tuning"
		43	+ ],
		44	+ "prerequisites": [
		45	+ "PHP web server and database for self-hosting, or MoodleCloud subscription"
		46	+ ],
		47	+ "audiences": [
		48	+ "University and school instructors",
		49	+ "Learning technologists and administrators"
		50	+ ],
		51	+ "alternatives": [
		52	+ "google-workspace",
		53	+ "microsoft-teams",
		54	+ "notion"
		55	+ ],
		56	+ "comparison_notes": "Google Workspace (Classroom) and Microsoft Teams for Education offer lighter course coordination inside office suites; Moodle is a full LMS with grading, quizzes and standards-based integrations. Notion can host course content but has no assessment features.",
		57	+ "categories": [
		58	+ {
		59	+ "slug": "collaboration-communication",
		60	+ "primary": true
		61	+ },
		62	+ {
		63	+ "slug": "productivity-suites"
		64	+ }
		65	+ ],
		66	+ "tags": [
		67	+ "lms",
		68	+ "education",
		69	+ "open-source",
		70	+ "php",
		71	+ "self-hosted"
		72	+ ],
		73	+ "use_cases": [
		74	+ "teach-online"
		75	+ ],
		76	+ "operating_systems": [
		77	+ "web",
		78	+ "linux",
		79	+ "ios",
		80	+ "android"
		81	+ ],
		82	+ "execution_modes": [
		83	+ "self-hosted",
		84	+ "cloud"
		85	+ ],
		86	+ "interfaces": [
		87	+ "web",
		88	+ "mobile",
		89	+ "api"
		90	+ ],
		91	+ "deployment_models": [
		92	+ "on-premises",
		93	+ "saas",
		94	+ "managed-cloud"
		95	+ ],
		96	+ "integrations": [
		97	+ "LTI tools",
		98	+ "H5P",
		99	+ "Zoom",
		100	+ "Microsoft Teams",
		101	+ "BigBlueButton",
		102	+ "Turnitin"
		103	+ ],
		104	+ "data_formats": [
		105	+ "Moodle backup (.mbz)",
		106	+ "SCORM",
		107	+ "IMS Common Cartridge",
		108	+ "CSV"
		109	+ ],
		110	+ "languages": [
		111	+ "PHP",
		112	+ "JavaScript"
		113	+ ],
		114	+ "source_model": "open-source",
		115	+ "license_spdx": "GPL-3.0-or-later",
		116	+ "pricing_model": [
		117	+ "open-source",
		118	+ "free",
		119	+ "paid"
		120	+ ],
		121	+ "pricing_checked_at": "2026-11-02",
		122	+ "self_hostable": true,
		123	+ "sources": [
		124	+ {
		125	+ "url": "https://moodle.com/",
		126	+ "type": "official_site",
		127	+ "supports": [
		128	+ "name",
		129	+ "summary",
		130	+ "vendor"
		131	+ ],
		132	+ "checked_at": "2026-11-02",
		133	+ "title": "Moodle"
		134	+ },
		135	+ {
		136	+ "url": "https://moodledev.io/",
		137	+ "type": "official_docs",
		138	+ "supports": [
		139	+ "capabilities",
		140	+ "interfaces",
		141	+ "languages"
		142	+ ],
		143	+ "checked_at": "2026-11-02",
		144	+ "title": "Moodle Developer Resources"
		145	+ },
		146	+ {
		147	+ "url": "https://github.com/moodle/moodle/blob/main/COPYING.txt",
		148	+ "type": "license_page",
		149	+ "supports": [
		150	+ "license_spdx",
		151	+ "source_model"
		152	+ ],
		153	+ "checked_at": "2026-11-02",
		154	+ "title": "COPYING.txt (GPL v3)"
		155	+ },
		156	+ {
		157	+ "url": "https://moodle.com/products/moodlecloud/",
		158	+ "type": "pricing_page",
		159	+ "supports": [
		160	+ "pricing_model"
		161	+ ],
		162	+ "checked_at": "2026-11-02",
		163	+ "title": "MoodleCloud"
		164	+ }
		165	+ ],
		166	+ "confidence": "medium",
		167	+ "uncertainty_note": "The community sites moodle.org and docs.moodle.org returned HTTP 403 to all automated clients today, so moodle.com and moodledev.io are cited instead; GPL licence statement verified in the repository COPYING.txt.",
		168	+ "depth": "standard",
		169	+ "featured": false,
		170	+ "discovery_method": "editorial-research",
		171	+ "editorial_status": "reviewed",
		172	+ "visibility": "public",
		173	+ "author": "batch-F"
		174	+}

added content/tools/mysql.json +174 −0

				@@ -0,0 +1,174 @@
		1	+{
		2	+ "aliases": [
		3	+ "MySQL Community Server",
		4	+ "MySQL Enterprise Edition"
		5	+ ],
		6	+ "workflows": [
		7	+ "Back end for PHP, Node or Java web applications",
		8	+ "Read replicas for reporting workloads",
		9	+ "Migration source or target for cloud databases"
		10	+ ],
		11	+ "advantages": [
		12	+ "Very wide hosting and tooling support",
		13	+ "Long-term-support release lines",
		14	+ "Familiar to most web developers"
		15	+ ],
		16	+ "limitations": [
		17	+ "Commercial features reserved to Enterprise Edition",
		18	+ "Smaller extension ecosystem than PostgreSQL",
		19	+ "Innovation releases change versioning and support cadence"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "A server, container or managed MySQL service"
		23	+ ],
		24	+ "audiences": [
		25	+ "Web developers",
		26	+ "Database administrators"
		27	+ ],
		28	+ "alternatives": [
		29	+ "postgresql",
		30	+ "sqlite",
		31	+ "mongodb"
		32	+ ],
		33	+ "tags": [
		34	+ "sql",
		35	+ "open-source",
		36	+ "self-hosted",
		37	+ "relational"
		38	+ ],
		39	+ "use_cases": [
		40	+ "store-application-data",
		41	+ "host-web-apps"
		42	+ ],
		43	+ "operating_systems": [
		44	+ "linux",
		45	+ "macos",
		46	+ "windows"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "managed-cloud"
		51	+ ],
		52	+ "integrations": [
		53	+ "MySQL Workbench",
		54	+ "phpMyAdmin",
		55	+ "Prisma",
		56	+ "Drizzle ORM",
		57	+ "Metabase"
		58	+ ],
		59	+ "data_formats": [
		60	+ "SQL",
		61	+ "CSV (LOAD DATA)",
		62	+ "JSON"
		63	+ ],
		64	+ "languages": [
		65	+ "SQL",
		66	+ "C++",
		67	+ "PHP",
		68	+ "Python",
		69	+ "JavaScript",
		70	+ "Java",
		71	+ "Go"
		72	+ ],
		73	+ "self_hostable": true,
		74	+ "discovery_method": "editorial-research",
		75	+ "depth": "standard",
		76	+ "editorial_status": "reviewed",
		77	+ "visibility": "public",
		78	+ "featured": false,
		79	+ "author": "batch-D",
		80	+ "slug": "mysql",
		81	+ "name": "MySQL",
		82	+ "vendor": {
		83	+ "name": "Oracle",
		84	+ "slug": "oracle",
		85	+ "website": "https://www.oracle.com/"
		86	+ },
		87	+ "homepage_url": "https://www.mysql.com/",
		88	+ "docs_url": "https://dev.mysql.com/doc/",
		89	+ "repo_url": "https://github.com/mysql/mysql-server",
		90	+ "license_url": "https://github.com/mysql/mysql-server/blob/trunk/LICENSE",
		91	+ "pricing_url": "https://www.mysql.com/products/",
		92	+ "pricing_checked_at": "2026-11-02",
		93	+ "product_type": "database",
		94	+ "product_status": "active",
		95	+ "summary": "Oracle's widely deployed open-source relational database server, offered as a GPL community edition and commercial enterprise and cloud editions",
		96	+ "description": "MySQL is a relational database server developed by Oracle. The Community Server is released under the GNU GPL version 2 with Oracle's FOSS License Exception, while Enterprise Edition, Cluster CGE and the HeatWave cloud service are commercial. It remains one of the most common back ends for web applications and content management systems, and it is available as a managed service from every major cloud.\n\nThe InnoDB storage engine provides ACID transactions, row-level locking and crash recovery; the server adds replication (asynchronous and group replication), JSON columns, window functions and common table expressions. Oracle maintains long-term-support lines (8.0 and 8.4, and 9.7) alongside innovation releases that switched to calendar versioning in 2026, with 26.10 the current release documented on dev.mysql.com.\n\nCompared with PostgreSQL, MySQL has a smaller extension ecosystem and a stricter separation between community and commercial features; MariaDB continues as a community fork with diverging features.",
		97	+ "capabilities": [
		98	+ "InnoDB transactional storage with row-level locking",
		99	+ "Asynchronous and group replication",
		100	+ "JSON data type with functions and indexing",
		101	+ "Window functions and common table expressions",
		102	+ "MySQL Shell and Router tooling",
		103	+ "Managed deployments through HeatWave and cloud providers"
		104	+ ],
		105	+ "categories": [
		106	+ {
		107	+ "slug": "relational-databases",
		108	+ "primary": true
		109	+ }
		110	+ ],
		111	+ "execution_modes": [
		112	+ "self-hosted",
		113	+ "cloud"
		114	+ ],
		115	+ "interfaces": [
		116	+ "cli",
		117	+ "api",
		118	+ "library"
		119	+ ],
		120	+ "source_model": "mixed",
		121	+ "license_spdx": "GPL-2.0-only WITH Universal-FOSS-exception-1.0",
		122	+ "pricing_model": [
		123	+ "open-source",
		124	+ "free",
		125	+ "enterprise",
		126	+ "usage-based"
		127	+ ],
		128	+ "sources": [
		129	+ {
		130	+ "url": "https://www.mysql.com/",
		131	+ "type": "official_site",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary",
		135	+ "pricing_model"
		136	+ ],
		137	+ "checked_at": "2026-11-02",
		138	+ "title": "MySQL",
		139	+ "note": "Site blocks plain curl (HTTP 403) but loaded through a browser-like fetcher today"
		140	+ },
		141	+ {
		142	+ "url": "https://dev.mysql.com/doc/",
		143	+ "type": "official_docs",
		144	+ "supports": [
		145	+ "capabilities",
		146	+ "product_status"
		147	+ ],
		148	+ "checked_at": "2026-11-02",
		149	+ "title": "MySQL Documentation",
		150	+ "note": "Lists reference manuals for 8.0, 8.4, 9.7, 26.7 and 26.10"
		151	+ },
		152	+ {
		153	+ "url": "https://github.com/mysql/mysql-server/blob/trunk/LICENSE",
		154	+ "type": "license_page",
		155	+ "supports": [
		156	+ "license_spdx",
		157	+ "source_model"
		158	+ ],
		159	+ "checked_at": "2026-11-02",
		160	+ "title": "MySQL Server LICENSE (GPLv2 with Universal FOSS Exception)"
		161	+ },
		162	+ {
		163	+ "url": "https://github.com/mysql/mysql-server",
		164	+ "type": "repository",
		165	+ "supports": [
		166	+ "repo_url"
		167	+ ],
		168	+ "checked_at": "2026-11-02",
		169	+ "title": "mysql/mysql-server"
		170	+ }
		171	+ ],
		172	+ "confidence": "medium",
		173	+ "uncertainty_note": "www.mysql.com and dev.mysql.com return HTTP 403 to non-browser clients; both pages were loaded today through a browser-like fetcher. The GPL exception identifier follows the LICENSE file wording; verify before relying on it for compliance."
		174	+}

added content/tools/nasdaq-data-link.json +46 −0

				@@ -0,0 +1,46 @@
		1	+{
		2	+ "slug": "nasdaq-data-link",
		3	+ "name": "Nasdaq Data Link",
		4	+ "aliases": ["Quandl"],
		5	+ "vendor": { "name": "Nasdaq, Inc.", "slug": "nasdaq", "website": "https://www.nasdaq.com" },
		6	+ "homepage_url": "https://data.nasdaq.com/",
		7	+ "docs_url": "https://data.nasdaq.com/tools/api",
		8	+ "product_type": "data-service",
		9	+ "product_status": "active",
		10	+ "summary": "Nasdaq's marketplace for financial, economic and alternative datasets (formerly Quandl) with a REST API, time-series and table endpoints and Python, R and Excel clients",
		11	+ "description": "Nasdaq Data Link is Nasdaq's data marketplace, the renamed successor of Quandl, offering financial, economic and alternative datasets from Nasdaq and third-party publishers. Datasets are exposed in one of two API shapes: time-series indexed by a date, retrievable in JSON, XML or CSV with slicing, frequency collapse and transformation parameters, and tables that can be filtered by column; a single API key authenticates both. Official client libraries exist for Python and R and an Excel add-in, and the data.nasdaq.com portal provides dataset documentation, previews and subscription management.\n\nThe catalog mixes free datasets (for example Nasdaq's own core US equity daily prices and a range of macro series) with premium products sold by subscription, each governed by its publisher's licence terms. At the time of checking, the legacy documentation site redirected to an access-tools page that returned an error, suggesting the documentation is being reorganized; users should expect some product churn following the Quandl rebrand and confirm licence terms per dataset before redistribution.",
		12	+ "capabilities": ["Time-series API with date slicing, collapse and transforms", "Tables API with column filtering and bulk export", "JSON, XML and CSV responses", "Python and R client libraries and Excel add-in", "Marketplace of free and premium datasets", "Single API key across datasets"],
		13	+ "workflows": ["Pulling macro and commodity series into a Python notebook", "Subscribing to a premium fundamentals table and syncing it to a database"],
		14	+ "advantages": ["One API across many publishers", "Mature client libraries", "Free datasets alongside premium"],
		15	+ "limitations": ["Documentation site in transition at check time", "Licence terms vary by publisher", "Some former Quandl datasets discontinued"],
		16	+ "prerequisites": ["Nasdaq Data Link account and API key"],
		17	+ "audiences": ["Economists and analysts needing macro and alternative series", "Quant developers integrating fundamentals"],
		18	+ "alternatives": ["fred", "alpha-vantage", "polygon-io", "world-bank-data", "wrds"],
		19	+ "comparison_notes": "FRED is free and limited to economic series; Alpha Vantage and Massive focus on market prices with their own APIs; Nasdaq Data Link is a multi-publisher marketplace where premium licences dominate.",
		20	+ "categories": [{ "slug": "market-data-apis", "primary": true }],
		21	+ "tags": ["market-data", "api", "time-series", "macro-data"],
		22	+ "use_cases": ["access-market-data"],
		23	+ "operating_systems": ["any"],
		24	+ "execution_modes": ["cloud"],
		25	+ "interfaces": ["api", "sdk", "web"],
		26	+ "deployment_models": ["saas"],
		27	+ "integrations": ["Python client (nasdaq-data-link)", "R client", "Excel add-in"],
		28	+ "data_formats": ["JSON", "XML", "CSV"],
		29	+ "languages": ["Python", "R"],
		30	+ "source_model": "proprietary",
		31	+ "pricing_model": ["freemium", "paid", "usage-based"],
		32	+ "self_hostable": false,
		33	+ "sources": [
		34	+ { "url": "https://data.nasdaq.com/", "type": "official_site", "title": "Financial, Economic and Alternative Data | Nasdaq Data Link", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		35	+ { "url": "https://data.nasdaq.com/tools/api", "type": "official_docs", "title": "Nasdaq Data Link API tools", "supports": ["docs_url", "capabilities"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://www.nasdaq.com/products/data/data-link", "type": "official_site", "title": "Nasdaq Data Link – Nasdaq", "supports": ["vendor"], "checked_at": "2026-11-02" }
		37	+ ],
		38	+ "confidence": "medium",
		39	+ "uncertainty_note": "docs.data.nasdaq.com redirected to a page returning 404 on the check date, and the portal renders client-side, so API parameter details rely on the publicly known time-series/tables design rather than a freshly read reference page. pricing_url omitted because pricing is per dataset.",
		40	+ "discovery_method": "editorial-research",
		41	+ "depth": "standard",
		42	+ "editorial_status": "reviewed",
		43	+ "visibility": "public",
		44	+ "featured": false,
		45	+ "author": "batch-E"
		46	+}

added content/tools/nats.json +170 −0

				@@ -0,0 +1,170 @@
		1	+{
		2	+ "aliases": [
		3	+ "NATS Server",
		4	+ "JetStream",
		5	+ "NATS.io"
		6	+ ],
		7	+ "workflows": [
		8	+ "Service-to-service messaging across a LAN cluster of machines",
		9	+ "Edge devices publishing telemetry through leaf nodes",
		10	+ "Lightweight event streaming with replay for a small platform"
		11	+ ],
		12	+ "advantages": [
		13	+ "Very simple deployment and operation",
		14	+ "Persistence, KV and object store in one binary",
		15	+ "Apache 2.0 under CNCF governance"
		16	+ ],
		17	+ "limitations": [
		18	+ "Smaller connector ecosystem than Kafka",
		19	+ "Lower retention and throughput targets than log-centric platforms",
		20	+ "Commercial roadmap closely tied to one company"
		21	+ ],
		22	+ "prerequisites": [
		23	+ "The nats-server binary or container"
		24	+ ],
		25	+ "audiences": [
		26	+ "Backend and platform developers",
		27	+ "Edge and IoT system builders"
		28	+ ],
		29	+ "alternatives": [
		30	+ "apache-kafka",
		31	+ "rabbitmq",
		32	+ "redis",
		33	+ "bullmq"
		34	+ ],
		35	+ "tags": [
		36	+ "messaging",
		37	+ "pub-sub",
		38	+ "go",
		39	+ "open-source",
		40	+ "self-hosted",
		41	+ "edge"
		42	+ ],
		43	+ "use_cases": [
		44	+ "stream-events",
		45	+ "queue-background-jobs"
		46	+ ],
		47	+ "operating_systems": [
		48	+ "linux",
		49	+ "macos",
		50	+ "windows"
		51	+ ],
		52	+ "deployment_models": [
		53	+ "on-premises",
		54	+ "managed-cloud"
		55	+ ],
		56	+ "integrations": [
		57	+ "Synadia Cloud",
		58	+ "Kubernetes (Helm, NACK operator)",
		59	+ "Prometheus exporter",
		60	+ "Benthos/Redpanda Connect"
		61	+ ],
		62	+ "data_formats": [
		63	+ "Opaque message payloads with headers"
		64	+ ],
		65	+ "languages": [
		66	+ "Go",
		67	+ "Rust",
		68	+ "Python",
		69	+ "JavaScript",
		70	+ "Java",
		71	+ "C#",
		72	+ "C"
		73	+ ],
		74	+ "self_hostable": true,
		75	+ "discovery_method": "editorial-research",
		76	+ "depth": "standard",
		77	+ "editorial_status": "reviewed",
		78	+ "visibility": "public",
		79	+ "featured": false,
		80	+ "author": "batch-D",
		81	+ "slug": "nats",
		82	+ "name": "NATS",
		83	+ "vendor": {
		84	+ "name": "NATS project (CNCF; maintained principally by Synadia)",
		85	+ "slug": "nats-project",
		86	+ "website": "https://nats.io/"
		87	+ },
		88	+ "homepage_url": "https://nats.io/",
		89	+ "docs_url": "https://docs.nats.io/",
		90	+ "repo_url": "https://github.com/nats-io/nats-server",
		91	+ "license_url": "https://github.com/nats-io/nats-server/blob/main/LICENSE",
		92	+ "product_type": "platform",
		93	+ "product_status": "active",
		94	+ "summary": "Lightweight Go messaging system with core pub/sub and request-reply plus JetStream persistence, key-value and object stores; a CNCF project",
		95	+ "description": "NATS is a messaging system written in Go, distributed under Apache 2.0 and hosted by the Cloud Native Computing Foundation as an incubating project, with Synadia as the principal maintainer and commercial backer. The core server provides subject-based publish/subscribe, request-reply and queue groups with at-most-once delivery and very low operational overhead: a single static binary, clustering and superclusters with gateway connections, and leaf nodes that extend a deployment to edge devices. JetStream, built into the same binary, adds persistent streams with at-least-once or exactly-once semantics, durable consumers, replay by time or sequence, and key-value and object-store abstractions layered on streams. Clients exist for Go, Rust, Python, JavaScript, Java, .NET, C and others, and the nats CLI covers administration and testing.\n\nNATS appeals to teams who want one small system for service messaging, lightweight event streaming and configuration or state distribution across clusters and edge sites, including Apple Silicon machines on a LAN. Its ecosystem of connectors and stream processors is smaller than Kafka's, message retention and throughput targets are more modest, and governance tensions between Synadia and the CNCF in 2025 were resolved with the project remaining under Apache 2.0.",
		96	+ "capabilities": [
		97	+ "Subject-based pub/sub, request-reply and queue groups",
		98	+ "JetStream persistent streams with durable consumers and replay",
		99	+ "Key-value and object stores on JetStream",
		100	+ "Clusters, superclusters and leaf nodes for edge topologies",
		101	+ "Single static binary with built-in monitoring endpoints",
		102	+ "Clients in Go, Rust, Python, JavaScript, Java, .NET and C"
		103	+ ],
		104	+ "categories": [
		105	+ {
		106	+ "slug": "messaging-queues",
		107	+ "primary": true
		108	+ }
		109	+ ],
		110	+ "execution_modes": [
		111	+ "self-hosted",
		112	+ "cloud"
		113	+ ],
		114	+ "interfaces": [
		115	+ "api",
		116	+ "cli",
		117	+ "library"
		118	+ ],
		119	+ "source_model": "open-source",
		120	+ "license_spdx": "Apache-2.0",
		121	+ "pricing_model": [
		122	+ "open-source",
		123	+ "free"
		124	+ ],
		125	+ "sources": [
		126	+ {
		127	+ "url": "https://nats.io/",
		128	+ "type": "official_site",
		129	+ "supports": [
		130	+ "name",
		131	+ "summary",
		132	+ "vendor"
		133	+ ],
		134	+ "checked_at": "2026-11-02",
		135	+ "title": "NATS.io",
		136	+ "note": "States NATS is a CNCF incubating project"
		137	+ },
		138	+ {
		139	+ "url": "https://docs.nats.io/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "capabilities",
		143	+ "languages"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "NATS Docs"
		147	+ },
		148	+ {
		149	+ "url": "https://github.com/nats-io/nats-server/blob/main/LICENSE",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "license_spdx",
		153	+ "source_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "nats-server LICENSE (Apache 2.0)"
		157	+ },
		158	+ {
		159	+ "url": "https://github.com/nats-io/nats-server",
		160	+ "type": "repository",
		161	+ "supports": [
		162	+ "repo_url"
		163	+ ],
		164	+ "checked_at": "2026-11-02",
		165	+ "title": "nats-io/nats-server"
		166	+ }
		167	+ ],
		168	+ "confidence": "high",
		169	+ "uncertainty_note": "Synadia's role as principal maintainer is editorial knowledge; the nats.io homepage names only the CNCF."
		170	+}

added content/tools/neo4j.json +180 −0

				@@ -0,0 +1,180 @@
		1	+{
		2	+ "aliases": [
		3	+ "Neo4j AuraDB",
		4	+ "Neo4j Community Edition"
		5	+ ],
		6	+ "workflows": [
		7	+ "Knowledge graph behind a RAG application",
		8	+ "Fraud or dependency analysis with path queries",
		9	+ "Recommendation features computed with graph algorithms"
		10	+ ],
		11	+ "advantages": [
		12	+ "Mature graph query language and tooling",
		13	+ "Managed AuraDB service with a free tier",
		14	+ "Large community and training material"
		15	+ ],
		16	+ "limitations": [
		17	+ "Clustering and advanced security require Enterprise Edition",
		18	+ "JVM memory footprint",
		19	+ "Graph modeling differs from relational habits"
		20	+ ],
		21	+ "prerequisites": [
		22	+ "Java runtime for self-hosted servers, or an AuraDB account"
		23	+ ],
		24	+ "audiences": [
		25	+ "Developers building knowledge graphs",
		26	+ "Data scientists using graph algorithms"
		27	+ ],
		28	+ "alternatives": [
		29	+ "kuzu",
		30	+ "postgresql",
		31	+ "mongodb"
		32	+ ],
		33	+ "tags": [
		34	+ "graph-database",
		35	+ "cypher",
		36	+ "rag",
		37	+ "self-hosted"
		38	+ ],
		39	+ "use_cases": [
		40	+ "build-agents",
		41	+ "model-knowledge-graphs"
		42	+ ],
		43	+ "operating_systems": [
		44	+ "linux",
		45	+ "macos",
		46	+ "windows"
		47	+ ],
		48	+ "deployment_models": [
		49	+ "on-premises",
		50	+ "managed-cloud"
		51	+ ],
		52	+ "integrations": [
		53	+ "LangChain",
		54	+ "LlamaIndex",
		55	+ "Apache Spark connector",
		56	+ "Apache Kafka connector",
		57	+ "Neo4j Bloom"
		58	+ ],
		59	+ "data_formats": [
		60	+ "CSV (LOAD CSV)",
		61	+ "JSON (APOC)",
		62	+ "GraphML (APOC)"
		63	+ ],
		64	+ "languages": [
		65	+ "Cypher",
		66	+ "Java",
		67	+ "Python",
		68	+ "JavaScript",
		69	+ "Go",
		70	+ "C#"
		71	+ ],
		72	+ "self_hostable": true,
		73	+ "discovery_method": "editorial-research",
		74	+ "depth": "standard",
		75	+ "editorial_status": "reviewed",
		76	+ "visibility": "public",
		77	+ "featured": false,
		78	+ "author": "batch-D",
		79	+ "slug": "neo4j",
		80	+ "name": "Neo4j",
		81	+ "vendor": {
		82	+ "name": "Neo4j, Inc.",
		83	+ "slug": "neo4j-inc",
		84	+ "website": "https://neo4j.com/"
		85	+ },
		86	+ "homepage_url": "https://neo4j.com/",
		87	+ "docs_url": "https://neo4j.com/docs/",
		88	+ "repo_url": "https://github.com/neo4j/neo4j",
		89	+ "license_url": "https://github.com/neo4j/neo4j/blob/2026.10/LICENSE.txt",
		90	+ "pricing_url": "https://neo4j.com/pricing/",
		91	+ "pricing_checked_at": "2026-11-02",
		92	+ "product_type": "database",
		93	+ "product_status": "active",
		94	+ "summary": "Native property-graph database queried with Cypher, offered as a GPL community edition, a commercial enterprise edition and the AuraDB cloud service",
		95	+ "description": "Neo4j is a property-graph database developed by Neo4j, Inc. Nodes, relationships and their properties are stored natively and queried with Cypher, the declarative graph language that also informed the ISO GQL standard. The server runs on the JVM and exposes the Bolt protocol, with official drivers for Java, Python, JavaScript, Go and .NET, plus the Graph Data Science library for algorithms such as PageRank, community detection and node embeddings and a vector index for similarity search over embeddings.\n\nCommunity Edition is licensed under the GNU GPL version 3; Enterprise Edition (clustering, role-based security, online backup) is commercial, and AuraDB is the managed cloud offering with free, professional and enterprise tiers. Releases moved to calendar versioning (2025.x, 2026.x) after the 5.x series.\n\nNeo4j fits knowledge graphs, recommendation, fraud and dependency analysis where traversals dominate. Costs are the JVM footprint, the learning curve of a graph model, and the fact that horizontal scaling and advanced security are enterprise-only.",
		96	+ "capabilities": [
		97	+ "Native property-graph storage and index-free adjacency",
		98	+ "Cypher query language (GQL-aligned)",
		99	+ "Bolt protocol with official multi-language drivers",
		100	+ "Graph Data Science library of algorithms",
		101	+ "Vector index for embedding similarity",
		102	+ "Causal clustering in Enterprise Edition"
		103	+ ],
		104	+ "categories": [
		105	+ {
		106	+ "slug": "nosql-databases",
		107	+ "primary": true
		108	+ }
		109	+ ],
		110	+ "execution_modes": [
		111	+ "self-hosted",
		112	+ "cloud"
		113	+ ],
		114	+ "interfaces": [
		115	+ "cli",
		116	+ "api",
		117	+ "library",
		118	+ "web"
		119	+ ],
		120	+ "source_model": "mixed",
		121	+ "license_spdx": "GPL-3.0",
		122	+ "pricing_model": [
		123	+ "open-source",
		124	+ "freemium",
		125	+ "usage-based",
		126	+ "enterprise"
		127	+ ],
		128	+ "sources": [
		129	+ {
		130	+ "url": "https://neo4j.com/",
		131	+ "type": "official_site",
		132	+ "supports": [
		133	+ "name",
		134	+ "summary"
		135	+ ],
		136	+ "checked_at": "2026-11-02",
		137	+ "title": "Neo4j Graph Database & Analytics"
		138	+ },
		139	+ {
		140	+ "url": "https://neo4j.com/docs/",
		141	+ "type": "official_docs",
		142	+ "supports": [
		143	+ "capabilities",
		144	+ "languages"
		145	+ ],
		146	+ "checked_at": "2026-11-02",
		147	+ "title": "Neo4j Documentation"
		148	+ },
		149	+ {
		150	+ "url": "https://github.com/neo4j/neo4j/blob/2026.10/LICENSE.txt",
		151	+ "type": "license_page",
		152	+ "supports": [
		153	+ "license_spdx",
		154	+ "source_model"
		155	+ ],
		156	+ "checked_at": "2026-11-02",
		157	+ "title": "Neo4j Community Edition LICENSE.txt (GPLv3)",
		158	+ "note": "Default branch 2026.10 at time of check"
		159	+ },
		160	+ {
		161	+ "url": "https://neo4j.com/pricing/",
		162	+ "type": "pricing_page",
		163	+ "supports": [
		164	+ "pricing_model"
		165	+ ],
		166	+ "checked_at": "2026-11-02",
		167	+ "title": "Neo4j Pricing"
		168	+ },
		169	+ {
		170	+ "url": "https://github.com/neo4j/neo4j",
		171	+ "type": "repository",
		172	+ "supports": [
		173	+ "repo_url"
		174	+ ],
		175	+ "checked_at": "2026-11-02",
		176	+ "title": "neo4j/neo4j"
		177	+ }
		178	+ ],
		179	+ "confidence": "high"
		180	+}

added content/tools/neon.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "neon",
		3	+ "name": "Neon",
		4	+ "aliases": ["Neon Postgres", "Neon Serverless Postgres"],
		5	+ "vendor": { "name": "Neon (Databricks)", "slug": "neon-databricks", "website": "https://neon.com" },
		6	+ "homepage_url": "https://neon.com/",
		7	+ "docs_url": "https://neon.com/docs",
		8	+ "repo_url": "https://github.com/neondatabase/neon",
		9	+ "pricing_url": "https://neon.com/pricing",
		10	+ "license_url": "https://github.com/neondatabase/neon/blob/main/LICENSE",
		11	+ "product_type": "database",
		12	+ "product_status": "active",
		13	+ "summary": "Serverless PostgreSQL service with separated storage and compute, instant database branching and scale-to-zero, now part of Databricks",
		14	+ "description": "Neon is a managed PostgreSQL service whose engine separates compute from a custom multi-tenant storage layer, so databases can scale compute independently, suspend to zero when idle and resume on the next connection. Its signature feature is branching: a copy-on-write branch of a database, including data, is created almost instantly, which lets each pull request, test run or AI agent work against an isolated copy. The company was acquired by Databricks in 2025 and its homepage now presents Neon as a backend from Databricks built on Lakebase Postgres, with add-ons for authentication, a REST data API, functions, object storage and an AI gateway.\n\nThe storage and compute code is open source under Apache-2.0, though the hosted control plane is proprietary and self-hosting the full system is not a documented product path. Any PostgreSQL driver or ORM connects normally, and a CLI, API and MCP server support automation.\n\nCold starts after suspension add latency to the first query, extension support is limited to an approved list, and the acquisition means roadmap and branding are evolving.",
		15	+ "capabilities": ["Serverless PostgreSQL with autoscaling compute and scale-to-zero", "Copy-on-write database branching for environments and tests", "Separated storage layer with point-in-time restore", "Standard PostgreSQL wire protocol plus a serverless HTTP driver", "CLI, REST API, Terraform provider and MCP server", "Add-ons for auth, data API, functions, object storage and AI gateway"],
		16	+ "workflows": ["Create a database branch per pull request in CI", "Run a side project's Postgres that costs nothing while idle", "Give an AI agent an isolated branch to experiment on"],
		17	+ "advantages": ["Branching changes how test and preview databases are handled", "Pure PostgreSQL compatibility for drivers and ORMs", "Apache-2.0 engine source"],
		18	+ "limitations": ["Cold-start latency after suspension", "Approved-extension list rather than arbitrary extensions", "Hosted control plane only; no supported self-hosting"],
		19	+ "prerequisites": ["Neon account", "PostgreSQL client or ORM"],
		20	+ "audiences": ["Application developers", "Teams wanting ephemeral databases in CI", "Developers building agent workflows"],
		21	+ "alternatives": ["supabase", "postgresql"],
		22	+ "comparison_notes": "Supabase bundles auth, storage and APIs around a conventional Postgres instance; Neon focuses on the database engine with branching and serverless economics. Self-managed PostgreSQL gives full control and extension freedom at the cost of operations.",
		23	+ "categories": [{ "slug": "relational-databases", "primary": true }, { "slug": "cloud-hosting" }],
		24	+ "tags": ["postgresql", "serverless", "database-branching", "saas", "open-source", "sql"],
		25	+ "use_cases": ["store-data", "host-web-apps"],
		26	+ "operating_systems": ["web"],
		27	+ "execution_modes": ["cloud"],
		28	+ "interfaces": ["web", "api", "cli", "sdk", "mcp-server"],
		29	+ "deployment_models": ["saas"],
		30	+ "integrations": ["PostgreSQL drivers", "Prisma", "Drizzle ORM", "Vercel", "GitHub Actions", "Terraform", "Databricks"],
		31	+ "data_formats": ["SQL", "JSON"],
		32	+ "languages": ["Rust", "C"],
		33	+ "source_model": "mixed",
		34	+ "license_spdx": "Apache-2.0",
		35	+ "pricing_model": ["freemium", "paid", "usage-based", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": false,
		38	+ "sources": [
		39	+ { "url": "https://neon.com/", "type": "official_site", "title": "Neon Serverless Postgres", "supports": ["name", "summary", "vendor", "capabilities"], "checked_at": "2026-11-02", "note": "neon.tech redirects here; page describes Neon as a backend from Databricks built on Lakebase Postgres." },
		40	+ { "url": "https://neon.com/docs", "type": "official_docs", "title": "Neon Documentation", "supports": ["capabilities", "integrations", "limitations"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/neondatabase/neon/blob/main/LICENSE", "type": "license_page", "title": "Neon LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://neon.com/pricing", "type": "pricing_page", "title": "Neon Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-B2"
		51	+}

added content/tools/neovim.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "neovim",
		3	+ "name": "Neovim",
		4	+ "aliases": ["nvim"],
		5	+ "vendor": { "name": "Neovim project", "slug": "neovim-project", "website": "https://neovim.io" },
		6	+ "homepage_url": "https://neovim.io/",
		7	+ "docs_url": "https://neovim.io/doc/",
		8	+ "repo_url": "https://github.com/neovim/neovim",
		9	+ "license_url": "https://github.com/neovim/neovim/blob/master/LICENSE.txt",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Modal, terminal-based text editor forked from Vim with Lua configuration, a built-in LSP client and Tree-sitter parsing",
		13	+ "description": "Neovim is a community-maintained fork of the Vim text editor that modernized its architecture while keeping Vim's modal editing model and most of its configuration compatibility. It runs in a terminal (or through external GUIs that speak its RPC protocol), is configured in Lua, and ships a built-in Language Server Protocol client, Tree-sitter syntax parsing, an embedded terminal emulator and asynchronous job control.\n\nIt is typically assembled into a personal development environment through plugins managed by lazy.nvim or similar, or installed as a preconfigured distribution such as LazyVim or AstroNvim. Developers who work over SSH on remote nodes value that the whole editor lives in the terminal session. The caveats are a steep learning curve for modal editing and Lua configuration, the maintenance burden of a plugin set, and the absence of graphical tooling such as visual debuggers unless added by plugins. The license is Apache-2.0 for Neovim's own code, with legacy Vim-licensed portions.",
		14	+ "capabilities": ["Modal editing compatible with Vim keybindings", "Lua configuration and plugin API", "Built-in LSP client and Tree-sitter highlighting", "Embedded terminal emulator", "Remote plugin and GUI protocol over RPC", "Asynchronous job control"],
		15	+ "workflows": ["Edit code on a remote server inside a tmux session", "Build a tailored IDE from plugins and language servers", "Use a distribution such as LazyVim for a ready-made setup"],
		16	+ "advantages": ["Runs anywhere a terminal does", "Low latency and resource use", "Fully scriptable in Lua"],
		17	+ "limitations": ["Steep learning curve", "Plugin configuration requires ongoing maintenance", "No graphical debugger without plugins"],
		18	+ "prerequisites": ["A terminal; package manager install (Homebrew, apt) or release binary"],
		19	+ "audiences": ["Developers working over SSH", "Vim users wanting modern features", "Keyboard-centric power users"],
		20	+ "alternatives": ["vs-code", "zed"],
		21	+ "comparison_notes": "VS Code provides a graphical, extension-driven environment that needs little configuration; Neovim offers the opposite trade-off with full control and terminal portability. Zed is a native graphical editor with a Vim mode, which suits users who want modal editing without living entirely in the terminal.",
		22	+ "categories": [{ "slug": "ide-editors", "primary": true }, { "slug": "terminals-shells" }],
		23	+ "tags": ["editor", "cli", "open-source", "vim", "lua"],
		24	+ "use_cases": ["edit-code-remotely"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["Language Server Protocol", "Tree-sitter", "tmux", "Git", "lazy.nvim"],
		30	+ "data_formats": ["Lua configuration", "Vimscript"],
		31	+ "languages": ["C", "Lua", "Vimscript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://neovim.io/", "type": "official_site", "title": "Neovim", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://neovim.io/doc/", "type": "official_docs", "title": "Neovim documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/neovim/neovim/blob/master/LICENSE.txt", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "Apache-2.0 with parts under the Vim license" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B1"
		48	+}

added content/tools/nextjs.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "nextjs",
		3	+ "name": "Next.js",
		4	+ "aliases": ["Next", "NextJS"],
		5	+ "vendor": { "name": "Vercel", "slug": "vercel", "website": "https://vercel.com" },
		6	+ "homepage_url": "https://nextjs.org/",
		7	+ "docs_url": "https://nextjs.org/docs",
		8	+ "repo_url": "https://github.com/vercel/next.js",
		9	+ "license_url": "https://github.com/vercel/next.js/blob/canary/license.md",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "React framework from Vercel for full-stack web applications with file-based routing, server components, server-side rendering, static generation and API route handlers",
		13	+ "description": "Next.js is an open-source React framework developed by Vercel and released under the MIT license. It supplies the pieces React leaves to the application: a file-system router (the App Router) with nested layouts, React Server Components that render on the server and send no JavaScript for static parts, server actions for mutations, route handlers for JSON APIs, and a build pipeline that chooses static generation, server rendering or streaming per route. Image, font and script components handle common performance work, and the Turbopack bundler is the default in recent versions.\n\nNext.js runs as a Node.js server (or on Bun), as a fully static export, or on Vercel's managed platform where it was designed; self-hosting with PM2 or a container behind a reverse proxy is well documented and common. It is a frequent choice for marketing sites, dashboards, documentation portals and the front ends of data products, including several sites in this encyclopedia's ecosystem, because one codebase covers rendering, data fetching and small APIs.\n\nThe framework's breadth is also its cost. The App Router introduced a new mental model (server versus client components, caching layers, streaming) that differs from the older Pages Router, and migrations between major versions regularly require code changes. Caching behavior has been revised across releases, which can surprise teams. Some features work best or only on Vercel's infrastructure, so self-hosters should check parity. Build output and memory use are heavier than lighter frameworks, and the Content Security Policy configuration for server components needs care.",
		14	+ "capabilities": ["File-system routing with nested layouts", "React Server Components and streaming server rendering", "Static site generation and incremental regeneration", "Server actions and API route handlers", "Image, font and script optimization components", "Turbopack-based development and production builds", "Middleware for request rewriting and authentication", "Static export mode for CDN hosting"],
		15	+ "workflows": ["Build a data dashboard that fetches on the server and streams to the client", "Ship a static marketing site exported to a CDN", "Co-locate a JSON API with the React front end in one repository", "Self-host behind Caddy with PM2 on a cluster node"],
		16	+ "advantages": ["Complete full-stack toolkit around React", "Flexible rendering per route", "Large community and template ecosystem", "MIT license"],
		17	+ "limitations": ["Complex mental model and frequent major-version changes", "Caching semantics have shifted across releases", "Some features favor Vercel's platform", "Heavier builds than minimal frameworks"],
		18	+ "prerequisites": ["Node.js or Bun; React"],
		19	+ "audiences": ["Front-end and full-stack developers", "Teams building content sites and dashboards", "Developers deploying on Vercel or self-hosting Node"],
		20	+ "alternatives": ["react", "vite", "express", "hono"],
		21	+ "comparison_notes": "React alone is a UI library; Next.js adds routing, rendering strategies and server features on top of it. Vite with React gives a lighter client-side setup for single-page applications that do not need server rendering. Express or Hono paired with a Vite front end is the traditional alternative when the API and the UI are deployed separately rather than inside one Next.js server.",
		22	+ "categories": [{ "slug": "web-frameworks", "primary": true }],
		23	+ "tags": ["react", "typescript", "ssr", "open-source", "full-stack"],
		24	+ "use_cases": ["host-web-apps", "build-web-apps"],
		25	+ "operating_systems": ["macos", "linux", "windows", "web"],
		26	+ "execution_modes": ["self-hosted", "cloud", "local"],
		27	+ "interfaces": ["library", "cli"],
		28	+ "deployment_models": ["managed-cloud", "on-premises"],
		29	+ "integrations": ["React", "Vercel", "Tailwind CSS", "shadcn/ui", "Prisma", "Drizzle ORM", "PM2", "Docker"],
		30	+ "data_formats": ["JSON", "HTML", "MDX"],
		31	+ "languages": ["TypeScript", "JavaScript", "Rust"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://nextjs.org/", "type": "official_site", "title": "Next.js by Vercel", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://nextjs.org/docs", "type": "official_docs", "title": "Next.js Docs", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/vercel/next.js", "type": "repository", "title": "vercel/next.js", "supports": ["repo_url", "source_model"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://github.com/vercel/next.js/blob/canary/license.md", "type": "license_page", "supports": ["license_spdx"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B1"
		49	+}

added content/tools/nginx.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "nginx",
		3	+ "name": "NGINX",
		4	+ "aliases": ["nginx", "NGINX Open Source", "NGINX Plus"],
		5	+ "vendor": { "name": "F5, Inc.", "slug": "f5", "website": "https://www.f5.com" },
		6	+ "homepage_url": "https://nginx.org/",
		7	+ "docs_url": "https://nginx.org/en/docs/",
		8	+ "repo_url": "https://github.com/nginx/nginx",
		9	+ "license_url": "https://nginx.org/LICENSE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Event-driven HTTP server, reverse proxy, load balancer and mail proxy, distributed as open source under the 2-clause BSD license with a commercial Plus edition",
		13	+ "description": "NGINX is a web server and reverse proxy originally written by Igor Sysoev and now developed by F5, Inc., which acquired NGINX, Inc. in 2019. The open-source edition is released under the 2-clause BSD license and ships as stable and mainline branches; NGINX Plus is a commercial build that adds features such as an API-driven configuration, active health checks and support.\n\nIts asynchronous, event-driven architecture handles many concurrent connections with a small number of worker processes, which made it the default front door for high-traffic sites and the basis for many ingress controllers and API gateways. Typical roles include terminating TLS, serving static assets, proxying to application servers, caching upstream responses, load balancing across backends and acting as a mail proxy. Configuration is a declarative text file organized in server and location blocks, and third-party modules extend it with Lua scripting, Brotli compression and more.\n\nUnlike Caddy or Traefik, NGINX does not obtain certificates itself; operators pair it with certbot or an ACME client and reload after renewal. Dynamic module loading exists, but many extensions still require rebuilding, and configuration errors surface only at reload time.",
		14	+ "capabilities": ["HTTP/1.1, HTTP/2 and HTTP/3 serving and reverse proxying", "Load balancing with several balancing methods and passive health checks", "Response caching and static file serving", "TLS termination with SNI and OCSP stapling", "TCP/UDP stream proxying and mail proxying (IMAP, POP3, SMTP)", "Extensible with dynamic and compiled-in modules"],
		15	+ "workflows": ["Front an application server behind TLS and compression", "Load-balance requests across several backend nodes", "Serve a static site and cache API responses"],
		16	+ "advantages": ["Decades of production use and extensive documentation", "Permissive BSD license", "Large body of third-party modules and tutorials"],
		17	+ "limitations": ["No built-in ACME certificate automation", "Many modules require rebuilding from source", "Advanced features such as the configuration API are reserved for NGINX Plus"],
		18	+ "prerequisites": ["Linux, BSD, macOS or Windows host", "External ACME client for public certificates"],
		19	+ "audiences": ["System administrators", "Web and platform engineers"],
		20	+ "alternatives": ["caddy", "traefik", "cloudflare"],
		21	+ "comparison_notes": "Caddy automates HTTPS and favors a compact configuration, while Traefik discovers routes from container orchestrators. NGINX offers the most mature module set and fine-grained tuning but expects the operator to manage certificates and reloads. Cloudflare can take over the edge role entirely as a hosted service.",
		22	+ "categories": [{ "slug": "reverse-proxies-web-servers", "primary": true }],
		23	+ "tags": ["reverse-proxy", "web-server", "load-balancer", "open-source", "self-hosted", "tls"],
		24	+ "use_cases": ["host-web-apps", "terminate-tls"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["self-hosted"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["certbot", "Kubernetes Ingress", "Docker", "PHP-FPM", "Lua (OpenResty)"],
		30	+ "data_formats": ["nginx.conf"],
		31	+ "languages": ["C"],
		32	+ "source_model": "mixed",
		33	+ "license_spdx": "BSD-2-Clause",
		34	+ "pricing_model": ["open-source", "free", "enterprise"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://nginx.org/", "type": "official_site", "title": "nginx news", "supports": ["name", "summary", "vendor", "source_model"], "checked_at": "2026-11-02", "note": "Site states nginx was written by Igor Sysoev, is distributed under the 2-clause BSD License, and that commercial support is available from F5, Inc." },
		38	+ { "url": "https://nginx.org/en/docs/", "type": "official_docs", "title": "nginx documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://nginx.org/LICENSE", "type": "license_page", "title": "nginx LICENSE", "supports": ["license_spdx"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "NGINX Plus is proprietary; no pricing page is recorded because F5 quotes it through sales.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B2"
		49	+}

added content/tools/ngrok.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "ngrok",
		3	+ "name": "ngrok",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "ngrok, Inc.", "slug": "ngrok-inc", "website": "https://ngrok.com" },
		6	+ "homepage_url": "https://ngrok.com/",
		7	+ "docs_url": "https://ngrok.com/docs/start",
		8	+ "pricing_url": "https://ngrok.com/pricing",
		9	+ "product_type": "api-service",
		10	+ "product_status": "active",
		11	+ "summary": "Hosted ingress service that exposes local servers through public URLs via an agent or SDK, with Traffic Policy rules, API gateway features and reserved domains",
		12	+ "description": "ngrok is a proprietary ingress-as-a-service platform from ngrok, Inc. A small agent (or an embedded SDK for Go, Rust, Python and JavaScript) opens an outbound connection to ngrok's cloud, which then publishes a public HTTPS or TCP endpoint and forwards requests back to the local process. It began as the standard way to demo a laptop server or receive webhooks during development and has grown into an API gateway product with Traffic Policy rules for authentication, rate limiting, header rewriting and request routing, plus an AI gateway for routing calls to model providers.\n\nAccounts on the free tier get random or limited static URLs; paid plans add reserved domains, custom branded domains, more endpoints and team features. Because the edge is operated by ngrok, no inbound firewall rules or TLS setup are needed on the local side.\n\nThe agent is closed source (the public repositories cover SDKs and examples), all traffic passes through ngrok's infrastructure, and free endpoints carry interstitial warnings and limits, so long-running production exposure is normally done on a paid plan or with a self-controlled gateway.",
		13	+ "capabilities": ["Public HTTPS and TCP endpoints for local services through an outbound agent", "Agent SDKs for Go, Rust, Python and JavaScript", "Traffic Policy rules for auth, rate limiting, header and routing manipulation", "Reserved and custom domains, OAuth and IP restrictions", "Request inspection and replay in a web dashboard", "API and Terraform provider for managing endpoints"],
		14	+ "workflows": ["Receive webhooks on a development machine", "Share a work-in-progress site with a public URL", "Front an internal API with ngrok's gateway policies"],
		15	+ "advantages": ["Working public URL in one command", "No open ports or certificate handling locally", "Gateway features without deploying a proxy"],
		16	+ "limitations": ["Closed-source agent and hosted-only edge", "All traffic transits a third party", "Free-tier endpoints carry limits and interstitial pages"],
		17	+ "prerequisites": ["ngrok account and auth token", "Agent binary or SDK in the application"],
		18	+ "audiences": ["Developers testing webhooks and demos", "Teams exposing APIs without managing ingress"],
		19	+ "alternatives": ["cloudflare-tunnel", "tailscale", "caddy"],
		20	+ "comparison_notes": "Cloudflare Tunnel offers a similar outbound-agent model on a Cloudflare-managed domain, with the tunnel daemon open source. Tailscale Funnel publishes a tailnet service publicly without a separate account for the edge. A self-hosted Caddy on a VPS reproduces the public endpoint under full operator control but requires a server and DNS.",
		21	+ "categories": [{ "slug": "tunneling-remote-access", "primary": true }],
		22	+ "tags": ["tunnel", "ingress", "api-gateway", "webhooks", "cli", "saas"],
		23	+ "use_cases": ["expose-local-services", "test-webhooks"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["cloud", "local"],
		26	+ "interfaces": ["cli", "sdk", "web", "api"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Terraform", "Docker", "GitHub webhooks", "Kubernetes (ingress controller)"],
		29	+ "data_formats": ["YAML agent config", "Traffic Policy YAML/JSON"],
		30	+ "languages": ["Go", "Rust", "Python", "JavaScript"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "paid", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://ngrok.com/", "type": "official_site", "title": "ngrok", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://ngrok.com/docs/start", "type": "official_docs", "title": "Get Started with ngrok", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://ngrok.com/pricing", "type": "pricing_page", "title": "ngrok Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-B2"
		47	+}

added content/tools/nodejs.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "nodejs",
		3	+ "name": "Node.js",
		4	+ "aliases": ["Node", "NodeJS"],
		5	+ "vendor": { "name": "OpenJS Foundation", "slug": "openjs-foundation", "website": "https://openjsf.org" },
		6	+ "homepage_url": "https://nodejs.org/en",
		7	+ "docs_url": "https://nodejs.org/docs/latest/api/",
		8	+ "repo_url": "https://github.com/nodejs/node",
		9	+ "license_url": "https://github.com/nodejs/node/blob/main/LICENSE",
		10	+ "product_type": "language",
		11	+ "product_status": "active",
		12	+ "summary": "Server-side JavaScript runtime built on the V8 engine, governed by the OpenJS Foundation, with npm as its package ecosystem",
		13	+ "description": "Node.js is a JavaScript runtime that runs outside the browser, built on Chrome's V8 engine and maintained by the Node.js project under the OpenJS Foundation. It exposes an event-driven, non-blocking I/O model and a standard library for file systems, networking, streams, child processes, cryptography and worker threads. The bundled npm client and registry give access to the largest package ecosystem of any language.\n\nNode is the reference runtime for most JavaScript tooling: bundlers, linters, test runners and frameworks such as Next.js, Express and Hono are developed and tested against it first. Release lines alternate between Current and Long-Term Support, with even-numbered majors receiving roughly thirty months of maintenance, which is why production deployments usually pin an LTS line. Recent releases have added native TypeScript type stripping, a built-in test runner, a permission model, and stable `fetch` and Web Streams, reducing the need for third-party dependencies in small projects.\n\nTypical deployment runs a process manager such as PM2 or a container per service, often behind a reverse proxy. Node suits I/O-bound services, APIs, build tooling and server-side rendering.\n\nIts limits are structural: a single-threaded event loop means CPU-heavy work must move to worker threads or another language; dependency trees from npm can be large and need auditing; and the ESM/CommonJS module split still causes friction in older packages. Version management across machines typically relies on tools such as nvm, fnm or Volta.",
		14	+ "capabilities": ["Event-driven, non-blocking I/O runtime on V8", "npm package manager and registry access", "Standard library for HTTP, file system, streams and crypto", "Worker threads and child processes for parallelism", "Built-in test runner and watch mode", "Native TypeScript type stripping in recent releases", "LTS release lines with long maintenance windows"],
		15	+ "workflows": ["Serve an API or server-rendered web app behind a reverse proxy", "Run JavaScript build tooling (bundlers, linters, tests)", "Write cross-platform CLI utilities distributed via npm", "Keep services alive with PM2 or containers"],
		16	+ "advantages": ["Largest package ecosystem via npm", "Same language on client and server", "Predictable LTS schedule", "Permissive MIT license"],
		17	+ "limitations": ["Single-threaded event loop; CPU-bound work needs workers", "Large dependency trees require auditing", "ESM/CommonJS interoperability friction persists", "Version drift across machines without a version manager"],
		18	+ "prerequisites": ["Installer from nodejs.org, a version manager (nvm, fnm, Volta) or Homebrew"],
		19	+ "audiences": ["Web and API developers", "Front-end engineers running build tooling", "DevOps teams deploying JavaScript services"],
		20	+ "alternatives": ["bun", "deno", "python", "go"],
		21	+ "comparison_notes": "Bun and Deno are newer JavaScript runtimes that bundle a package manager, test runner and TypeScript execution; both aim at Node compatibility, but Node remains the runtime most packages are tested against. Python is the usual alternative for data-heavy back ends, and Go for services where a static binary and built-in concurrency matter more than sharing code with a browser front end.",
		22	+ "categories": [{ "slug": "programming-languages", "primary": true }, { "slug": "web-frameworks" }],
		23	+ "tags": ["javascript", "typescript", "open-source", "cli", "runtime"],
		24	+ "use_cases": ["host-web-apps", "build-web-apps"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local", "self-hosted", "cloud"],
		27	+ "interfaces": ["cli", "library"],
		28	+ "deployment_models": ["on-premises", "managed-cloud", "desktop"],
		29	+ "integrations": ["npm", "PM2", "Docker", "TypeScript", "Express", "Next.js", "Vite"],
		30	+ "data_formats": ["JSON", "package.json", "ES modules", "CommonJS"],
		31	+ "languages": ["JavaScript", "TypeScript", "C++"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MIT",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://nodejs.org/en", "type": "official_site", "title": "Node.js — Run JavaScript Everywhere", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://nodejs.org/docs/latest/api/", "type": "official_docs", "title": "Node.js API documentation", "supports": ["capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://nodejs.org/en/about/previous-releases", "type": "release_notes", "title": "Node.js Releases", "supports": ["description"], "checked_at": "2026-11-02", "note": "LTS schedule" },
		40	+ { "url": "https://github.com/nodejs/node/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B1"
		49	+}

added content/tools/notion.json +182 −0

				@@ -0,0 +1,182 @@
		1	+{
		2	+ "slug": "notion",
		3	+ "name": "Notion",
		4	+ "aliases": [
		5	+ "Notion AI",
		6	+ "Notion Calendar"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Notion Labs, Inc.",
		10	+ "slug": "notion-labs",
		11	+ "website": "https://www.notion.com"
		12	+ },
		13	+ "homepage_url": "https://www.notion.com/",
		14	+ "docs_url": "https://www.notion.com/help",
		15	+ "pricing_url": "https://www.notion.com/pricing",
		16	+ "security_url": "https://www.notion.com/security",
		17	+ "product_type": "application",
		18	+ "product_status": "active",
		19	+ "summary": "Hosted workspace combining block-based documents, relational databases, wikis and project views, with an API and built-in AI features",
		20	+ "description": "Notion is a hosted collaborative workspace from Notion Labs, Inc. in the knowledge-management category. Everything is a page composed of blocks (text, headings, embeds, code, toggles), and pages can be rows in databases that offer table, board, calendar, timeline and gallery views with properties, filters, relations and rollups. Teams use it for wikis, meeting notes, project tracking and lightweight CRMs; individuals use it as a personal notebook and planner.\n\nIt runs in the browser and in desktop and mobile apps that cache content offline to a limited degree, with real-time co-editing, comments, page permissions and sharing to the public web. The public REST API and official SDKs expose pages, databases and blocks for automation, and integrations connect Slack, GitHub, Jira, Google Drive and more. Notion AI adds writing assistance, summarisation and question answering over workspace content on plans that include it, and the company also offers Notion Calendar and Notion Mail as companion apps.\n\nPricing is per member across Free, Plus, Business and Enterprise plans; a free tier covers individuals with block-count limits for collaborative workspaces. Enterprise plans add SSO, audit logs and administrative controls.\n\nLimits to weigh: content lives only in Notion's cloud with export to Markdown, HTML, CSV or PDF rather than an open local format; offline use is partial; database queries have scale and performance ceilings compared with real databases; the API has rate limits and lags behind UI features; and the block model makes long-form academic writing with citations awkward compared with dedicated editors.",
		21	+ "capabilities": [
		22	+ "Block-based pages with rich embeds and code blocks",
		23	+ "Databases with multiple views, relations, rollups and formulas",
		24	+ "Real-time collaboration, comments and granular sharing",
		25	+ "Templates and workspace-wide search",
		26	+ "Public REST API and SDKs for pages, databases and blocks",
		27	+ "Notion AI assistance and Q&A over workspace content",
		28	+ "Export to Markdown, HTML, CSV and PDF"
		29	+ ],
		30	+ "workflows": [
		31	+ "Maintain a team wiki with linked project databases",
		32	+ "Track research tasks in a board view synced to a calendar",
		33	+ "Automate page creation from external events through the API"
		34	+ ],
		35	+ "advantages": [
		36	+ "Flexible document-plus-database model",
		37	+ "Strong collaboration and sharing",
		38	+ "Broad integration ecosystem"
		39	+ ],
		40	+ "limitations": [
		41	+ "Cloud-only storage with partial offline support",
		42	+ "Database performance degrades at large scale",
		43	+ "Exports are not a round-trippable open format",
		44	+ "API rate limits and feature lag"
		45	+ ],
		46	+ "prerequisites": [
		47	+ "Notion account; desktop or mobile app optional"
		48	+ ],
		49	+ "audiences": [
		50	+ "Teams needing wikis and lightweight project tracking",
		51	+ "Individuals organising notes and plans",
		52	+ "Developers automating documentation"
		53	+ ],
		54	+ "alternatives": [
		55	+ "obsidian",
		56	+ "logseq",
		57	+ "craft",
		58	+ "microsoft-365",
		59	+ "google-workspace"
		60	+ ],
		61	+ "comparison_notes": "Obsidian and Logseq store notes as local Markdown files and work offline, trading Notion's databases and collaboration for ownership and portability. Craft offers a similar block editor with native Apple apps and local-first storage options. Microsoft 365 and Google Workspace provide traditional documents and spreadsheets with deeper office features but weaker linked-database models.",
		62	+ "categories": [
		63	+ {
		64	+ "slug": "knowledge-management",
		65	+ "primary": true
		66	+ },
		67	+ {
		68	+ "slug": "productivity-suites"
		69	+ },
		70	+ {
		71	+ "slug": "collaboration-communication"
		72	+ }
		73	+ ],
		74	+ "tags": [
		75	+ "notes",
		76	+ "wiki",
		77	+ "databases",
		78	+ "collaboration",
		79	+ "saas",
		80	+ "api",
		81	+ "llm"
		82	+ ],
		83	+ "use_cases": [
		84	+ "manage-notes",
		85	+ "collaborate",
		86	+ "manage-projects"
		87	+ ],
		88	+ "operating_systems": [
		89	+ "web",
		90	+ "macos",
		91	+ "windows",
		92	+ "ios",
		93	+ "android"
		94	+ ],
		95	+ "execution_modes": [
		96	+ "cloud"
		97	+ ],
		98	+ "interfaces": [
		99	+ "web",
		100	+ "desktop",
		101	+ "mobile",
		102	+ "api"
		103	+ ],
		104	+ "deployment_models": [
		105	+ "saas"
		106	+ ],
		107	+ "integrations": [
		108	+ "Slack",
		109	+ "GitHub",
		110	+ "Jira",
		111	+ "Google Drive",
		112	+ "Figma",
		113	+ "Zapier",
		114	+ "Make"
		115	+ ],
		116	+ "data_formats": [
		117	+ "Markdown export",
		118	+ "HTML",
		119	+ "CSV",
		120	+ "PDF",
		121	+ "JSON (API)"
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		123	+ "languages": [],
		124	+ "source_model": "proprietary",
		125	+ "pricing_model": [
		126	+ "freemium",
		127	+ "paid",
		128	+ "enterprise"
		129	+ ],
		130	+ "pricing_checked_at": "2026-11-02",
		131	+ "self_hostable": false,
		132	+ "sources": [
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		134	+ "url": "https://www.notion.com/",
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		136	+ "supports": [
		137	+ "name",
		138	+ "summary",
		139	+ "vendor"
		140	+ ],
		141	+ "checked_at": "2026-11-02",
		142	+ "title": "Notion"
		143	+ },
		144	+ {
		145	+ "url": "https://www.notion.com/help",
		146	+ "type": "official_docs",
		147	+ "supports": [
		148	+ "capabilities",
		149	+ "data_formats"
		150	+ ],
		151	+ "checked_at": "2026-11-02",
		152	+ "title": "Notion Help Center"
		153	+ },
		154	+ {
		155	+ "url": "https://developers.notion.com/",
		156	+ "type": "official_docs",
		157	+ "supports": [
		158	+ "interfaces",
		159	+ "capabilities",
		160	+ "limitations"
		161	+ ],
		162	+ "checked_at": "2026-11-02",
		163	+ "title": "Notion API documentation"
		164	+ },
		165	+ {
		166	+ "url": "https://www.notion.com/pricing",
		167	+ "type": "pricing_page",
		168	+ "supports": [
		169	+ "pricing_model"
		170	+ ],
		171	+ "checked_at": "2026-11-02",
		172	+ "title": "Notion pricing"
		173	+ }
		174	+ ],
		175	+ "confidence": "high",
		176	+ "depth": "deep",
		177	+ "featured": false,
		178	+ "discovery_method": "editorial-research",
		179	+ "editorial_status": "reviewed",
		180	+ "visibility": "public",
		181	+ "author": "batch-F"
		182	+}

added content/tools/numpy.json +164 −0

				@@ -0,0 +1,164 @@
		1	+{
		2	+ "aliases": [],
		3	+ "workflows": [
		4	+ "Numerical computation underneath pandas, SciPy and scikit-learn",
		5	+ "Matrix algebra for econometric estimators",
		6	+ "Preprocessing arrays before handing them to PyTorch, JAX or MLX"
		7	+ ],
		8	+ "advantages": [
		9	+ "Universal interchange format for numerical Python",
		10	+ "Compiled performance for vectorized operations",
		11	+ "Stable, well-documented API and BSD license"
		12	+ ],
		13	+ "limitations": [
		14	+ "CPU-only and single-process",
		15	+ "Arrays must fit in memory",
		16	+ "Loops in Python remain slow; vectorization required"
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		20	+ ],
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		23	+ "Students",
		24	+ "Library developers"
		25	+ ],
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		28	+ "jax",
		29	+ "pytorch",
		30	+ "mlx",
		31	+ "polars"
		32	+ ],
		33	+ "tags": [
		34	+ "arrays",
		35	+ "python",
		36	+ "numerical-computing",
		37	+ "open-source",
		38	+ "apple-silicon"
		39	+ ],
		40	+ "use_cases": [
		41	+ "estimate-causal-effects",
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		46	+ "macos",
		47	+ "linux",
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		78	+ "author": "batch-D",
		79	+ "slug": "numpy",
		80	+ "name": "NumPy",
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		82	+ "name": "NumPy developers (NumFOCUS)",
		83	+ "slug": "numpy-developers",
		84	+ "website": "https://numpy.org/"
		85	+ },
		86	+ "homepage_url": "https://numpy.org/",
		87	+ "docs_url": "https://numpy.org/doc/stable/",
		88	+ "repo_url": "https://github.com/numpy/numpy",
		89	+ "license_url": "https://github.com/numpy/numpy/blob/main/LICENSE.txt",
		90	+ "product_type": "library",
		91	+ "product_status": "active",
		92	+ "summary": "Foundational Python library for n-dimensional arrays, vectorized math, linear algebra, random numbers and the array API used by the scientific stack",
		93	+ "description": "NumPy is the array library at the base of scientific Python, maintained by an open community under NumFOCUS and released under the BSD 3-Clause license. Its ndarray stores homogeneous n-dimensional data in contiguous memory with a dtype and strides, and universal functions apply elementwise operations, broadcasting and reductions in compiled C loops. Submodules provide linear algebra (backed by BLAS and LAPACK), FFTs, polynomial fitting and a modern random-number Generator API. NumPy 2.x cleaned up the public namespace, adopted the Python array API standard and added variable-length string dtypes.\n\nAlmost every numerical package in Python, including pandas, SciPy, scikit-learn, statsmodels, matplotlib and the deep-learning frameworks, consumes or produces NumPy arrays or implements its protocols. On Apple Silicon the wheels link against Accelerate or OpenBLAS. NumPy runs on a single CPU and holds arrays in memory; GPU acceleration, autodiff and distributed arrays belong to JAX, PyTorch, MLX, Dask or CuPy, which deliberately mirror its API.",
		94	+ "capabilities": [
		95	+ "n-dimensional ndarray with dtypes, strides and views",
		96	+ "Broadcasting and vectorized universal functions",
		97	+ "Linear algebra, FFT and polynomial modules",
		98	+ "Random Generator API with multiple bit generators",
		99	+ "Array API standard compliance and interoperability protocols",
		100	+ "C API for extension modules"
		101	+ ],
		102	+ "categories": [
		103	+ {
		104	+ "slug": "dataframes-arrays",
		105	+ "primary": true
		106	+ },
		107	+ {
		108	+ "slug": "math-stats-tools"
		109	+ }
		110	+ ],
		111	+ "execution_modes": [
		112	+ "local"
		113	+ ],
		114	+ "interfaces": [
		115	+ "library"
		116	+ ],
		117	+ "source_model": "open-source",
		118	+ "license_spdx": "BSD-3-Clause",
		119	+ "pricing_model": [
		120	+ "open-source",
		121	+ "free"
		122	+ ],
		123	+ "sources": [
		124	+ {
		125	+ "url": "https://numpy.org/",
		126	+ "type": "official_site",
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		128	+ "name",
		129	+ "summary"
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		131	+ "checked_at": "2026-11-02",
		132	+ "title": "NumPy"
		133	+ },
		134	+ {
		135	+ "url": "https://numpy.org/doc/stable/",
		136	+ "type": "official_docs",
		137	+ "supports": [
		138	+ "capabilities"
		139	+ ],
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		141	+ "title": "NumPy documentation"
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		148	+ "source_model"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "NumPy LICENSE.txt (BSD 3-Clause)"
		152	+ },
		153	+ {
		154	+ "url": "https://github.com/numpy/numpy",
		155	+ "type": "repository",
		156	+ "supports": [
		157	+ "repo_url"
		158	+ ],
		159	+ "checked_at": "2026-11-02",
		160	+ "title": "numpy/numpy"
		161	+ }
		162	+ ],
		163	+ "confidence": "high"
		164	+}

added content/tools/observable.json +198 −0

				@@ -0,0 +1,198 @@
		1	+{
		2	+ "aliases": [
		3	+ "Observable Framework",
		4	+ "Observable Notebooks",
		5	+ "Observable Plot",
		6	+ "ObservableHQ"
		7	+ ],
		8	+ "workflows": [
		9	+ "Build a data dashboard as a static site with Framework and Python data loaders",
		10	+ "Prototype a D3 or Plot chart interactively in a notebook",
		11	+ "Publish an explorable explanation with live inputs"
		12	+ ],
		13	+ "advantages": [
		14	+ "Reactive model without hidden state",
		15	+ "Framework output is plain static files hostable anywhere",
		16	+ "Direct line to D3 and Plot maintainers"
		17	+ ],
		18	+ "limitations": [
		19	+ "JavaScript-centric; Python runs only in build-time data loaders",
		20	+ "Collaboration features depend on the hosted service",
		21	+ "Smaller community than Jupyter"
		22	+ ],
		23	+ "prerequisites": [
		24	+ "Node.js for Framework and Notebook Kit; a browser and account for the hosted workspace"
		25	+ ],
		26	+ "audiences": [
		27	+ "Data journalists and visualization developers",
		28	+ "Analysts building dashboards from code"
		29	+ ],
		30	+ "alternatives": [
		31	+ "jupyter",
		32	+ "marimo",
		33	+ "d3",
		34	+ "plotly",
		35	+ "quarto"
		36	+ ],
		37	+ "tags": [
		38	+ "notebooks",
		39	+ "data-visualization",
		40	+ "javascript",
		41	+ "typescript",
		42	+ "dashboards",
		43	+ "open-source"
		44	+ ],
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		46	+ "visualize-data",
		47	+ "build-dashboards"
		48	+ ],
		49	+ "operating_systems": [
		50	+ "web",
		51	+ "macos",
		52	+ "linux",
		53	+ "windows"
		54	+ ],
		55	+ "deployment_models": [
		56	+ "saas",
		57	+ "desktop",
		58	+ "on-premises"
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		62	+ "Observable Plot",
		63	+ "DuckDB (in-browser)",
		64	+ "Vega-Lite",
		65	+ "Mosaic",
		66	+ "Leaflet",
		67	+ "Vite"
		68	+ ],
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		71	+ "Markdown pages",
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		73	+ "JSON",
		74	+ "Parquet (in-browser DuckDB)"
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		94	+ "website": "https://observablehq.com/"
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		96	+ "homepage_url": "https://observablehq.com/",
		97	+ "docs_url": "https://observablehq.com/framework/",
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		100	+ "pricing_url": "https://observablehq.com/pricing",
		101	+ "pricing_checked_at": "2026-11-02",
		102	+ "product_type": "platform",
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		104	+ "summary": "JavaScript data notebooks and the open-source Observable Framework static-site generator for data apps, from the maintainers of D3 and Plot",
		105	+ "description": "Observable is a platform and set of open-source tools for working with data in JavaScript, built by Observable, Inc., the company of D3 creator Mike Bostock. Observable notebooks are reactive documents in which cells of JavaScript, Markdown, HTML or SQL re-evaluate when their inputs change, with live inspection of values and a dataflow view; the current generation (Notebooks 2.0) stores notebooks as plain HTML files editable locally, with an open-source Notebook Kit for building static sites and a macOS desktop editor, alongside the cloud workspace that adds real-time collaboration, forking and version history, database connections, an AI agent and team permissions on free, Pro, Team and Enterprise plans.\n\nObservable Framework is the separate open-source (ISC) static-site generator: pages are Markdown with reactive JavaScript and data loaders written in any language (Python, R, SQL, shell) that snapshot data at build time, producing fast dashboards and reports deployable anywhere. Observable Plot and D3 are the company's visualization libraries. The ecosystem is JavaScript-centric, so Python users rely on data loaders rather than kernels, and the hosted notebooks require the Observable service for collaboration features.",
		106	+ "capabilities": [
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		108	+ "File-based Notebooks 2.0 with open-source Notebook Kit",
		109	+ "Observable Framework static-site generator with polyglot data loaders",
		110	+ "Observable Plot and D3 visualization libraries",
		111	+ "Collaboration: forking, merging, version history, comments",
		112	+ "Database connections and an AI agent in the hosted workspace"
		113	+ ],
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		116	+ "slug": "notebooks",
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		118	+ },
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		120	+ "slug": "data-visualization"
		121	+ },
		122	+ {
		123	+ "slug": "bi-dashboards"
		124	+ }
		125	+ ],
		126	+ "execution_modes": [
		127	+ "cloud",
		128	+ "local"
		129	+ ],
		130	+ "interfaces": [
		131	+ "web",
		132	+ "cli",
		133	+ "desktop"
		134	+ ],
		135	+ "source_model": "mixed",
		136	+ "license_spdx": "ISC",
		137	+ "pricing_model": [
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		139	+ "paid",
		140	+ "enterprise",
		141	+ "open-source"
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		143	+ "sources": [
		144	+ {
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		146	+ "type": "official_site",
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		149	+ "summary",
		150	+ "capabilities"
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		152	+ "checked_at": "2026-11-02",
		153	+ "title": "Observable",
		154	+ "note": "Returns HTTP 429 to automated clients; content loaded today through a browser-like extractor"
		155	+ },
		156	+ {
		157	+ "url": "https://observablehq.com/framework/",
		158	+ "type": "official_docs",
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		160	+ "capabilities",
		161	+ "languages"
		162	+ ],
		163	+ "checked_at": "2026-11-02",
		164	+ "title": "Observable Framework"
		165	+ },
		166	+ {
		167	+ "url": "https://github.com/observablehq/framework/blob/main/LICENSE",
		168	+ "type": "license_page",
		169	+ "supports": [
		170	+ "license_spdx",
		171	+ "source_model"
		172	+ ],
		173	+ "checked_at": "2026-11-02",
		174	+ "title": "Observable Framework LICENSE (ISC)",
		175	+ "note": "License applies to Framework; the hosted platform is proprietary"
		176	+ },
		177	+ {
		178	+ "url": "https://observablehq.com/pricing",
		179	+ "type": "pricing_page",
		180	+ "supports": [
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		182	+ ],
		183	+ "checked_at": "2026-11-02",
		184	+ "title": "Pricing | Observable"
		185	+ },
		186	+ {
		187	+ "url": "https://github.com/observablehq/framework",
		188	+ "type": "repository",
		189	+ "supports": [
		190	+ "repo_url"
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		192	+ "checked_at": "2026-11-02",
		193	+ "title": "observablehq/framework"
		194	+ }
		195	+ ],
		196	+ "confidence": "medium",
		197	+ "uncertainty_note": "observablehq.com rate-limits automated requests (HTTP 429); the recorded pages were loaded today through a browser-like extractor. license_spdx refers to Observable Framework only."
		198	+}

added content/tools/obsidian.json +171 −0

				@@ -0,0 +1,171 @@
		1	+{
		2	+ "slug": "obsidian",
		3	+ "name": "Obsidian",
		4	+ "aliases": [
		5	+ "Obsidian.md"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "Dynalist Inc. (Obsidian)",
		9	+ "slug": "obsidian",
		10	+ "website": "https://obsidian.md"
		11	+ },
		12	+ "homepage_url": "https://obsidian.md/",
		13	+ "docs_url": "https://help.obsidian.md/",
		14	+ "pricing_url": "https://obsidian.md/pricing",
		15	+ "license_url": "https://obsidian.md/license",
		16	+ "privacy_url": "https://obsidian.md/privacy",
		17	+ "product_type": "application",
		18	+ "product_status": "active",
		19	+ "summary": "Local-first Markdown note-taking app with bidirectional links, graph view and a large community plugin ecosystem; optional paid Sync and Publish",
		20	+ "description": "Obsidian is a desktop and mobile note-taking application in the personal knowledge-management category, developed by the small team behind Dynalist. Notes are plain Markdown files in a folder on the user's device (a vault), so they remain readable by any editor and under the user's control. On top of the files Obsidian adds wikilinks and backlinks, a graph view of connections, tags and properties (YAML front matter), embedded notes and media, canvas boards, a daily-notes workflow and full-text search.\n\nThe application is proprietary but free for personal and commercial use under its licence, with optional paid add-ons: Obsidian Sync for end-to-end encrypted synchronisation between devices and Obsidian Publish for hosting a vault as a website. Optional Catalyst and Commercial licences support development. The community plugin directory contains thousands of extensions, including Dataview for querying note metadata, Templater, Excalidraw drawings, Zotero citation integration and Git-based backup, and themes and CSS snippets customise the interface.\n\nResearchers and developers use it as a literature notebook, lab journal or project wiki that lives next to code and LaTeX sources in a Git repository; the Markdown files can be processed by Pandoc, Quarto or static-site generators. Limits include the absence of real-time multi-user editing, mobile apps that depend on a sync mechanism, plugin quality and security that vary because plugins run with full access, and a closed codebase, so the openness lies in the file format rather than the application.",
		21	+ "capabilities": [
		22	+ "Markdown vault stored as local files",
		23	+ "Wikilinks, backlinks and graph view",
		24	+ "Properties, tags and full-text search",
		25	+ "Canvas boards and embedded notes",
		26	+ "Community plugins and themes",
		27	+ "End-to-end encrypted Sync and web Publish add-ons",
		28	+ "Command palette and keyboard-driven navigation"
		29	+ ],
		30	+ "workflows": [
		31	+ "Keep a literature notebook linked to Zotero references",
		32	+ "Version a vault with Git alongside a research project",
		33	+ "Query note metadata with the Dataview plugin"
		34	+ ],
		35	+ "advantages": [
		36	+ "Plain-text files under user control",
		37	+ "Works fully offline",
		38	+ "Very large plugin ecosystem",
		39	+ "Free for personal and commercial use"
		40	+ ],
		41	+ "limitations": [
		42	+ "No real-time collaborative editing",
		43	+ "Closed-source application",
		44	+ "Plugins run with full access and vary in quality",
		45	+ "Device sync requires Obsidian Sync or a third-party mechanism"
		46	+ ],
		47	+ "prerequisites": [
		48	+ "macOS, Windows, Linux, iOS or Android device"
		49	+ ],
		50	+ "audiences": [
		51	+ "Researchers and students building knowledge bases",
		52	+ "Developers keeping Markdown notes with code",
		53	+ "Writers organising long projects"
		54	+ ],
		55	+ "alternatives": [
		56	+ "logseq",
		57	+ "notion",
		58	+ "bear",
		59	+ "craft",
		60	+ "apple-notes"
		61	+ ],
		62	+ "comparison_notes": "Logseq is an open-source, outliner-first alternative that also stores Markdown locally. Notion is cloud-hosted with databases and collaboration but no local files. Bear and Craft are polished Apple-centric editors with their own storage; Apple Notes is free and built in but lacks linking depth and plugins.",
		63	+ "categories": [
		64	+ {
		65	+ "slug": "knowledge-management",
		66	+ "primary": true
		67	+ }
		68	+ ],
		69	+ "tags": [
		70	+ "notes",
		71	+ "markdown",
		72	+ "local-first",
		73	+ "pkm",
		74	+ "plugins",
		75	+ "macos"
		76	+ ],
		77	+ "use_cases": [
		78	+ "manage-notes",
		79	+ "write-papers"
		80	+ ],
		81	+ "operating_systems": [
		82	+ "macos",
		83	+ "windows",
		84	+ "linux",
		85	+ "ios",
		86	+ "android"
		87	+ ],
		88	+ "execution_modes": [
		89	+ "local",
		90	+ "cloud"
		91	+ ],
		92	+ "interfaces": [
		93	+ "desktop",
		94	+ "mobile"
		95	+ ],
		96	+ "deployment_models": [
		97	+ "desktop"
		98	+ ],
		99	+ "integrations": [
		100	+ "Zotero (plugin)",
		101	+ "Git (plugin)",
		102	+ "Excalidraw (plugin)",
		103	+ "Pandoc",
		104	+ "Dataview (plugin)"
		105	+ ],
		106	+ "data_formats": [
		107	+ "Markdown",
		108	+ "YAML front matter",
		109	+ "Canvas JSON",
		110	+ "PDF export"
		111	+ ],
		112	+ "languages": [],
		113	+ "source_model": "proprietary",
		114	+ "pricing_model": [
		115	+ "free",
		116	+ "paid"
		117	+ ],
		118	+ "pricing_checked_at": "2026-11-02",
		119	+ "self_hostable": null,
		120	+ "sources": [
		121	+ {
		122	+ "url": "https://obsidian.md/",
		123	+ "type": "official_site",
		124	+ "supports": [
		125	+ "name",
		126	+ "summary",
		127	+ "operating_systems"
		128	+ ],
		129	+ "checked_at": "2026-11-02",
		130	+ "title": "Obsidian"
		131	+ },
		132	+ {
		133	+ "url": "https://help.obsidian.md/",
		134	+ "type": "official_docs",
		135	+ "supports": [
		136	+ "capabilities",
		137	+ "data_formats"
		138	+ ],
		139	+ "checked_at": "2026-11-02",
		140	+ "title": "Obsidian Help"
		141	+ },
		142	+ {
		143	+ "url": "https://obsidian.md/license",
		144	+ "type": "license_page",
		145	+ "supports": [
		146	+ "pricing_model",
		147	+ "source_model",
		148	+ "advantages"
		149	+ ],
		150	+ "checked_at": "2026-11-02",
		151	+ "title": "Obsidian license overview",
		152	+ "note": "Free for personal and commercial use; optional Commercial and Catalyst licences"
		153	+ },
		154	+ {
		155	+ "url": "https://obsidian.md/pricing",
		156	+ "type": "pricing_page",
		157	+ "supports": [
		158	+ "pricing_model"
		159	+ ],
		160	+ "checked_at": "2026-11-02",
		161	+ "title": "Obsidian pricing — Sync and Publish add-ons"
		162	+ }
		163	+ ],
		164	+ "confidence": "high",
		165	+ "depth": "deep",
		166	+ "featured": false,
		167	+ "discovery_method": "editorial-research",
		168	+ "editorial_status": "reviewed",
		169	+ "visibility": "public",
		170	+ "author": "batch-F"
		171	+}

added content/tools/odoo.json +185 −0

				@@ -0,0 +1,185 @@
		1	+{
		2	+ "slug": "odoo",
		3	+ "name": "Odoo",
		4	+ "aliases": [
		5	+ "OpenERP",
		6	+ "TinyERP",
		7	+ "Odoo Community",
		8	+ "Odoo Enterprise"
		9	+ ],
		10	+ "vendor": {
		11	+ "name": "Odoo S.A.",
		12	+ "slug": "odoo",
		13	+ "website": "https://www.odoo.com"
		14	+ },
		15	+ "homepage_url": "https://www.odoo.com/",
		16	+ "docs_url": "https://www.odoo.com/documentation/",
		17	+ "repo_url": "https://github.com/odoo/odoo",
		18	+ "pricing_url": "https://www.odoo.com/pricing",
		19	+ "license_url": "https://www.odoo.com/documentation/19.0/legal/licenses.html",
		20	+ "privacy_url": "https://www.odoo.com/privacy",
		21	+ "product_type": "platform",
		22	+ "product_status": "active",
		23	+ "summary": "Modular open-source business suite (CRM, invoicing, accounting, inventory, website, HR) with an LGPL community edition and a hosted or licensed enterprise edition",
		24	+ "description": "Odoo is a modular suite of business applications from Odoo S.A., formerly known as OpenERP and TinyERP. A Python and PostgreSQL server hosts apps for CRM, sales, invoicing and accounting, inventory and manufacturing, project management, HR, e-commerce and website building, all sharing one data model and an extensible ORM. The Community edition is open source under LGPL-3.0 and can be self-hosted; the Enterprise edition adds proprietary modules under the Odoo Enterprise Edition License and is sold by subscription, either hosted on Odoo Online, on Odoo.sh, or on-premises. Thousands of third-party modules are published on the Odoo Apps store and by the OCA community. It fits small and mid-sized companies wanting an integrated system they can customise. Major versions ship yearly and migrations between them take effort, community-edition accounting is thinner than enterprise, and customisation requires Python developers.",
		25	+ "capabilities": [
		26	+ "CRM, quotations, invoicing and accounting",
		27	+ "Inventory, purchasing and manufacturing",
		28	+ "Website, e-commerce and point of sale",
		29	+ "Project, timesheet and HR applications",
		30	+ "Python ORM and module framework for customisation",
		31	+ "XML-RPC/JSON-RPC external API",
		32	+ "Self-hosted or hosted deployment"
		33	+ ],
		34	+ "workflows": [
		35	+ "Run CRM and invoicing for a small firm on a self-hosted community instance",
		36	+ "Develop a custom module that extends the sales order model"
		37	+ ],
		38	+ "advantages": [
		39	+ "Open-source core with broad functional coverage",
		40	+ "Choice of self-hosting or vendor hosting",
		41	+ "Large module ecosystem"
		42	+ ],
		43	+ "limitations": [
		44	+ "Yearly major versions make upgrades laborious",
		45	+ "Enterprise-only features in accounting and reporting",
		46	+ "Customisation needs Python expertise"
		47	+ ],
		48	+ "prerequisites": [
		49	+ "Python and PostgreSQL server for self-hosting, or an Odoo Online subscription"
		50	+ ],
		51	+ "audiences": [
		52	+ "Small and mid-sized businesses",
		53	+ "Integrators and ERP developers"
		54	+ ],
		55	+ "alternatives": [
		56	+ "hubspot",
		57	+ "notion",
		58	+ "microsoft-365"
		59	+ ],
		60	+ "comparison_notes": "HubSpot is a hosted CRM and marketing suite without accounting or inventory; Odoo spans the back office and can be self-hosted. Notion and Microsoft 365 provide documents and lightweight databases rather than transactional ERP records.",
		61	+ "categories": [
		62	+ {
		63	+ "slug": "crm-business",
		64	+ "primary": true
		65	+ }
		66	+ ],
		67	+ "tags": [
		68	+ "erp",
		69	+ "crm",
		70	+ "accounting",
		71	+ "open-source",
		72	+ "python",
		73	+ "self-hosted"
		74	+ ],
		75	+ "use_cases": [
		76	+ "manage-customer-relationships",
		77	+ "run-business-operations"
		78	+ ],
		79	+ "operating_systems": [
		80	+ "web",
		81	+ "linux",
		82	+ "ios",
		83	+ "android"
		84	+ ],
		85	+ "execution_modes": [
		86	+ "cloud",
		87	+ "self-hosted"
		88	+ ],
		89	+ "interfaces": [
		90	+ "web",
		91	+ "mobile",
		92	+ "api"
		93	+ ],
		94	+ "deployment_models": [
		95	+ "saas",
		96	+ "on-premises",
		97	+ "managed-cloud"
		98	+ ],
		99	+ "integrations": [
		100	+ "PostgreSQL",
		101	+ "Stripe",
		102	+ "PayPal",
		103	+ "Google Workspace",
		104	+ "Microsoft 365",
		105	+ "OCA modules"
		106	+ ],
		107	+ "data_formats": [
		108	+ "CSV",
		109	+ "Excel",
		110	+ "XML-RPC/JSON-RPC"
		111	+ ],
		112	+ "languages": [
		113	+ "Python",
		114	+ "JavaScript",
		115	+ "XML"
		116	+ ],
		117	+ "source_model": "mixed",
		118	+ "license_spdx": "LGPL-3.0-only",
		119	+ "pricing_model": [
		120	+ "open-source",
		121	+ "freemium",
		122	+ "paid",
		123	+ "enterprise"
		124	+ ],
		125	+ "pricing_checked_at": "2026-11-02",
		126	+ "self_hostable": true,
		127	+ "sources": [
		128	+ {
		129	+ "url": "https://www.odoo.com/",
		130	+ "type": "official_site",
		131	+ "supports": [
		132	+ "name",
		133	+ "summary"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "Odoo"
		137	+ },
		138	+ {
		139	+ "url": "https://www.odoo.com/documentation/",
		140	+ "type": "official_docs",
		141	+ "supports": [
		142	+ "capabilities",
		143	+ "interfaces"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Odoo documentation"
		147	+ },
		148	+ {
		149	+ "url": "https://www.odoo.com/documentation/19.0/legal/licenses.html",
		150	+ "type": "license_page",
		151	+ "supports": [
		152	+ "license_spdx",
		153	+ "source_model"
		154	+ ],
		155	+ "checked_at": "2026-11-02",
		156	+ "title": "Odoo licenses — Community LGPLv3, Enterprise OEEL"
		157	+ },
		158	+ {
		159	+ "url": "https://www.odoo.com/pricing",
		160	+ "type": "pricing_page",
		161	+ "supports": [
		162	+ "pricing_model"
		163	+ ],
		164	+ "checked_at": "2026-11-02",
		165	+ "title": "Odoo pricing"
		166	+ },
		167	+ {
		168	+ "url": "https://github.com/odoo/odoo",
		169	+ "type": "repository",
		170	+ "supports": [
		171	+ "languages",
		172	+ "product_status"
		173	+ ],
		174	+ "checked_at": "2026-11-02",
		175	+ "title": "odoo/odoo"
		176	+ }
		177	+ ],
		178	+ "confidence": "high",
		179	+ "depth": "standard",
		180	+ "featured": false,
		181	+ "discovery_method": "editorial-research",
		182	+ "editorial_status": "reviewed",
		183	+ "visibility": "public",
		184	+ "author": "batch-F"
		185	+}

added content/tools/ollama.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "ollama",
		3	+ "name": "Ollama",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "Ollama", "slug": "ollama", "website": "https://ollama.com" },
		6	+ "homepage_url": "https://ollama.com/",
		7	+ "docs_url": "https://docs.ollama.com/",
		8	+ "repo_url": "https://github.com/ollama/ollama",
		9	+ "pricing_url": "https://ollama.com/pricing",
		10	+ "license_url": "https://github.com/ollama/ollama/blob/main/LICENSE",
		11	+ "product_type": "application",
		12	+ "product_status": "active",
		13	+ "summary": "Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models",
		14	+ "description": "Ollama is an MIT-licensed runtime for running open-weight language models on your own machine. A single install on macOS, Windows or Linux (or the official Docker image) provides a background server, a CLI (`ollama run`, `ollama pull`, `ollama launch`) and, on desktop platforms, a chat app. Models are fetched from the Ollama library by name and stored as layered blobs; a Modelfile lets you derive variants with a different system prompt, parameters or adapter. Inference is built on llama.cpp's GGML engine, with Metal acceleration on Apple Silicon and CUDA or ROCm on discrete GPUs.\n\nThe server listens on port 11434 and exposes Ollama's native REST API plus OpenAI- and Anthropic-compatible endpoints, which is why many editors, agents and frameworks treat Ollama as a drop-in local backend. Official Python and JavaScript SDKs cover chat, generation, embeddings and tool calling, and `ollama launch` starts integrations such as Claude Code or OpenClaw against a local model. Since 2025 the company also sells cloud-hosted models through the same CLI and API, on pay-as-you-go, Pro, Max, Team and Enterprise plans, while local inference remains free and unmetered.\n\nIn a research or small-team setting Ollama is the quickest way to serve an embedding or chat model on a Mac Studio for private workloads. Its limits are those of a single-node consumer runtime: throughput and concurrency are far below vLLM on server GPUs, model choice is restricted to the GGUF conversions in the library or ones you import, and quantized models trade some quality for memory. Behavior on headless macOS machines under launchd also needs care, since the desktop app and the CLI server are separate processes.",
		15	+ "capabilities": ["One-command model download and execution from a curated library", "Native REST API plus OpenAI- and Anthropic-compatible endpoints on port 11434", "Modelfile for custom system prompts, parameters and adapters", "Official Python and JavaScript SDKs with tool calling and embeddings", "Metal, CUDA and ROCm acceleration; CPU fallback", "Desktop app on macOS and Windows; Docker image for servers", "Optional cloud models billed per token through the same interface", "`ollama launch` to connect coding agents to local models"],
		16	+ "workflows": ["Serve a quantized chat model on a Mac for a private assistant", "Generate embeddings locally for a vector index", "Point an OpenAI-compatible client at localhost to test without API costs", "Mix local and cloud models from one CLI"],
		17	+ "advantages": ["Simple installation and model management", "Broad client ecosystem through OpenAI-compatible API", "MIT license, local use free and unmetered", "Works well on Apple Silicon unified memory"],
		18	+ "limitations": ["Single-node, modest concurrency compared with server engines", "Only GGUF-packaged models unless imported manually", "Cloud models are proprietary hosted services with separate terms", "Separate desktop app and CLI server processes can confuse headless setups"],
		19	+ "prerequisites": ["macOS, Windows or Linux with enough RAM or VRAM for the chosen model", "Optional: NVIDIA or AMD GPU drivers"],
		20	+ "audiences": ["Developers prototyping LLM features offline", "Researchers running private inference on workstations", "Home-lab and small-team operators"],
		21	+ "alternatives": ["llama-cpp", "lm-studio", "vllm", "mlx-lm"],
		22	+ "comparison_notes": "llama.cpp is the underlying engine; using it directly gives more control and the newest model support at the cost of manual builds and model files. LM Studio offers a richer GUI and MLX support on Apple Silicon but is proprietary. vLLM targets high-throughput GPU serving with continuous batching and is not aimed at laptops. mlx-lm is Apple's own path for Apple Silicon and avoids GGUF conversion but has a smaller client ecosystem.",
		23	+ "categories": [{ "slug": "local-inference", "primary": true }, { "slug": "apple-silicon-ml", "label": "Metal-accelerated local models on Macs" }],
		24	+ "tags": ["llm", "self-hosted", "open-source", "cli", "api", "macos", "apple-silicon", "embeddings"],
		25	+ "use_cases": ["run-local-models", "serve-models", "build-agents"],
		26	+ "operating_systems": ["macos", "windows", "linux"],
		27	+ "execution_modes": ["local", "self-hosted", "cloud"],
		28	+ "interfaces": ["cli", "api", "sdk", "desktop"],
		29	+ "deployment_models": ["desktop", "on-premises", "saas"],
		30	+ "integrations": ["llama.cpp", "Claude Code", "Open WebUI", "LangChain", "LlamaIndex", "LiteLLM", "Continue", "Docker"],
		31	+ "data_formats": ["GGUF", "Safetensors (import)", "Modelfile", "JSON"],
		32	+ "languages": ["Go", "Python", "JavaScript"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "MIT",
		35	+ "pricing_model": ["open-source", "free", "usage-based", "paid", "enterprise"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://ollama.com/", "type": "official_site", "title": "Ollama", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://docs.ollama.com/", "type": "official_docs", "title": "Ollama documentation", "supports": ["capabilities", "interfaces", "integrations"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/ollama/ollama", "type": "repository", "title": "ollama/ollama", "supports": ["operating_systems", "languages", "capabilities"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://github.com/ollama/ollama/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		43	+ { "url": "https://ollama.com/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Pay as you go, Pro, Max, Team, Enterprise for cloud models; local use unlimited" }
		44	+ ],
		45	+ "confidence": "high",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "deep",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": true,
		51	+ "author": "batch-A"
		52	+}

added content/tools/open-mpi.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "open-mpi",
		3	+ "name": "Open MPI",
		4	+ "aliases": ["OpenMPI", "ompi"],
		5	+ "vendor": { "name": "Open MPI consortium", "slug": "open-mpi", "website": "https://www.open-mpi.org/" },
		6	+ "homepage_url": "https://www.open-mpi.org/",
		7	+ "docs_url": "https://docs.open-mpi.org/en/main/",
		8	+ "repo_url": "https://github.com/open-mpi/ompi",
		9	+ "license_url": "https://www.open-mpi.org/community/license.php",
		10	+ "product_type": "library",
		11	+ "product_status": "active",
		12	+ "summary": "Open-source implementation of the MPI message-passing standard used to run tightly coupled parallel programs across the nodes of a cluster",
		13	+ "description": "Open MPI is an open-source implementation of the Message Passing Interface (MPI) specification, developed and maintained by a consortium of academic, research and industry partners under a 3-clause BSD license variant. MPI is the standard programming model of high-performance computing: processes on different nodes exchange messages and collectives (broadcast, reduce, all-gather) through a library API, and Open MPI provides that library for C, C++ and Fortran programs together with the `mpirun` launcher (built on PRRTE and PMIx) that starts processes across hosts over SSH or under schedulers such as Slurm, PBS and LSF.\n\nIt supports Linux and macOS, many network transports from TCP to InfiniBand, and is packaged by Homebrew and most Linux distributions. On a cluster of Macs it is the usual way to launch MPI-style jobs, and MLX's distributed backend can use MPI as one of its communication options.\n\nIt is a low-level tool: there is no scheduling, fault tolerance is limited, and applications must be written explicitly for message passing, which makes it most relevant to scientific codes rather than general data processing.",
		14	+ "capabilities": ["MPI point-to-point and collective communication", "mpirun launcher across hosts via SSH or batch schedulers", "Support for many network transports", "C, C++ and Fortran bindings", "Runtime tuning through MCA parameters"],
		15	+ "workflows": ["Run a Fortran or C simulation across several nodes", "Launch MLX distributed jobs with MPI on a Mac cluster", "Integrate MPI jobs into a Slurm allocation"],
		16	+ "advantages": ["Standards-based and portable across HPC systems", "Permissive BSD license", "Widely packaged and documented"],
		17	+ "limitations": ["Applications must be written for message passing", "No built-in scheduling or elasticity", "Limited fault tolerance for node failures"],
		18	+ "prerequisites": ["C/C++/Fortran toolchain", "Passwordless SSH or a scheduler between nodes"],
		19	+ "audiences": ["Scientific and HPC developers", "Operators of small compute clusters"],
		20	+ "alternatives": ["ray", "dask", "slurm"],
		21	+ "categories": [{ "slug": "distributed-computing", "primary": true }],
		22	+ "tags": ["hpc", "mpi", "distributed-computing", "open-source", "cli"],
		23	+ "use_cases": ["distribute-computation"],
		24	+ "operating_systems": ["linux", "macos"],
		25	+ "execution_modes": ["local", "self-hosted"],
		26	+ "interfaces": ["library", "cli"],
		27	+ "deployment_models": ["on-premises"],
		28	+ "integrations": ["Slurm", "PBS", "LSF", "PMIx", "Homebrew", "MLX distributed"],
		29	+ "data_formats": [],
		30	+ "languages": ["C", "C++", "Fortran"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "BSD-3-Clause-Open-MPI",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://www.open-mpi.org/", "type": "official_site", "title": "Open MPI: Open Source High Performance Computing", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://docs.open-mpi.org/en/main/", "type": "official_docs", "title": "Open MPI documentation", "supports": ["capabilities", "integrations", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.open-mpi.org/community/license.php", "type": "license_page", "title": "Open MPI License", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-C"
		47	+}

added content/tools/openai-agents-sdk.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "openai-agents-sdk",
		3	+ "name": "OpenAI Agents SDK",
		4	+ "aliases": ["openai-agents (PyPI)", "@openai/agents", "Swarm (predecessor)"],
		5	+ "vendor": { "name": "OpenAI", "slug": "openai", "website": "https://developers.openai.com/api/docs" },
		6	+ "homepage_url": "https://openai.github.io/openai-agents-python/",
		7	+ "docs_url": "https://openai.github.io/openai-agents-python/",
		8	+ "repo_url": "https://github.com/openai/openai-agents-python",
		9	+ "license_url": "https://github.com/openai/openai-agents-python/blob/main/LICENSE",
		10	+ "product_type": "framework",
		11	+ "product_status": "active",
		12	+ "summary": "Lightweight open-source Python and TypeScript framework for agents, handoffs, guardrails, sessions and tracing, defaulting to OpenAI's Responses API with adapters for other providers",
		13	+ "description": "The OpenAI Agents SDK is OpenAI's MIT-licensed framework for building agentic applications with few abstractions, released as the production successor to the experimental Swarm project. An agent is a model plus instructions and tools, run in a built-in loop until the task completes. Handoffs (or agents-as-tools) delegate work between agents, guardrails validate inputs and outputs in parallel and fail fast, sessions persist working memory across turns, and tracing records every run for debugging and for OpenAI's evaluation and fine-tuning tools. Function tools are generated from Python functions with automatic schemas and Pydantic validation, and MCP servers can be attached so their tools appear alongside local ones.\n\nThe SDK uses the Responses API for OpenAI models by default but ships adapters (LiteLLM and others) for non-OpenAI providers. Additional modules cover realtime voice agents, speech-to-text/text-to-speech voice pipelines, sandboxed agents running in isolated workspaces and human-in-the-loop approval. A TypeScript edition (`@openai/agents`) mirrors the Python package. The framework is attractive for teams committed to OpenAI who want minimal ceremony; its tracing and some hosted tools are tied to the OpenAI platform, so provider portability is weaker than with LangGraph or Pydantic AI.",
		14	+ "capabilities": ["Agents, handoffs, guardrails, sessions and tracing primitives", "Function tools with automatic schema generation and validation", "MCP server integration", "Realtime voice agents and STT/TTS voice pipelines", "Sandboxed agents and human-in-the-loop approvals", "Python and TypeScript packages with non-OpenAI provider adapters"],
		15	+ "workflows": ["Build a triage agent that hands off to specialist agents", "Add input and output guardrails to an existing assistant", "Prototype a voice agent on the Realtime API"],
		16	+ "advantages": ["Minimal abstractions and short learning curve", "First-class support for OpenAI hosted tools and tracing", "MIT license with Python and TypeScript parity"],
		17	+ "limitations": ["Defaults and tracing favor the OpenAI platform", "Younger than LangChain with fewer third-party integrations", "Durable execution is less developed than in LangGraph"],
		18	+ "prerequisites": ["Python 3.9+ or Node.js", "OpenAI API key (or configured alternative provider)"],
		19	+ "audiences": ["Developers on the OpenAI platform", "Teams building voice or multi-agent workflows quickly"],
		20	+ "alternatives": ["langgraph", "pydantic-ai", "crewai", "langchain", "autogen"],
		21	+ "categories": [{ "slug": "agent-frameworks", "primary": true }],
		22	+ "tags": ["agents", "python", "typescript", "open-source", "llm", "mcp", "voice"],
		23	+ "use_cases": ["build-agents"],
		24	+ "operating_systems": ["macos", "linux", "windows"],
		25	+ "execution_modes": ["local", "self-hosted", "cloud"],
		26	+ "interfaces": ["library"],
		27	+ "deployment_models": ["embedded"],
		28	+ "integrations": ["OpenAI Responses API", "Model Context Protocol", "LiteLLM", "Realtime API"],
		29	+ "data_formats": ["JSON", "JSON Schema"],
		30	+ "languages": ["Python", "TypeScript"],
		31	+ "source_model": "open-source",
		32	+ "license_spdx": "MIT",
		33	+ "pricing_model": ["open-source", "free"],
		34	+ "self_hostable": true,
		35	+ "sources": [
		36	+ { "url": "https://openai.github.io/openai-agents-python/", "type": "official_site", "title": "OpenAI Agents SDK documentation", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://github.com/openai/openai-agents-python", "type": "repository", "supports": ["license_spdx", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/openai/openai-agents-python/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://openai.github.io/openai-agents-js/", "type": "official_docs", "title": "OpenAI Agents SDK for TypeScript", "supports": ["languages"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-A"
		48	+}

added content/tools/openai-codex.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "openai-codex",
		3	+ "name": "OpenAI Codex",
		4	+ "aliases": ["Codex CLI", "Codex", "Codex Cloud", "Codex IDE extension"],
		5	+ "vendor": { "name": "OpenAI", "slug": "openai", "website": "https://developers.openai.com/api/docs" },
		6	+ "homepage_url": "https://learn.chatgpt.com/docs/codex/cli",
		7	+ "docs_url": "https://learn.chatgpt.com/docs/codex/cli",
		8	+ "repo_url": "https://github.com/openai/codex",
		9	+ "license_url": "https://github.com/openai/codex/blob/main/LICENSE",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "OpenAI's coding agent: an open-source Rust terminal CLI plus IDE extension, desktop app and cloud agent, signed in with a ChatGPT plan or an API key",
		13	+ "description": "OpenAI Codex is OpenAI's family of coding-agent surfaces. The core is Codex CLI, an open-source (Apache-2.0) program written in Rust that runs in the terminal, inspects a repository, edits files and executes commands under a configurable sandbox and approval policy. Around it sit an IDE extension for VS Code, Cursor and Windsurf, a desktop app launched with `codex app`, and Codex Cloud, which runs tasks in hosted containers from chatgpt.com. Documentation moved in 2026 from developers.openai.com/codex to learn.chatgpt.com, where Codex is presented as part of the ChatGPT product.\n\nFeatures documented for the CLI include `/init` to create an AGENTS.md instruction file, `/permissions` to set when the agent may edit or run without asking, `codex mcp` to add local or remote MCP servers, `/review` for change review, `codex resume`, subagents, image inputs, web search, plugins and skills, and `codex exec` for non-interactive use in scripts and CI. Installation is a shell installer, npm package, Homebrew cask or Windows installer, for macOS (Apple Silicon and Intel), Linux and Windows. Authentication is normally \"Sign in with ChatGPT\" on Plus, Pro, Business, Edu or Enterprise plans; API-key use is possible with extra setup. The open license applies to the CLI; the models, cloud agent and IDE extension remain hosted, proprietary services.",
		14	+ "capabilities": ["Terminal agent that edits files and runs commands under sandbox and approval policies", "AGENTS.md project instructions and `/permissions` controls", "MCP server integration via `codex mcp`", "`codex exec` for scripts and CI, `codex resume` for sessions", "IDE extension for VS Code, Cursor and Windsurf, plus desktop app", "Codex Cloud for hosted, parallel tasks from ChatGPT"],
		15	+ "workflows": ["Fix a failing test suite from the terminal with approvals on each command", "Delegate several independent tasks to Codex Cloud and review the resulting PRs", "Run `codex exec` in CI to generate release notes or review diffs"],
		16	+ "advantages": ["CLI source is open under Apache-2.0", "Included in ChatGPT paid plans, so no separate API billing for individuals", "Same agent available in terminal, IDE, desktop and cloud"],
		17	+ "limitations": ["Models and cloud agent are hosted and proprietary", "Documentation location has changed several times, breaking older links", "Requires a paid ChatGPT plan or API key"],
		18	+ "prerequisites": ["ChatGPT Plus/Pro/Business/Edu/Enterprise plan or an OpenAI API key", "macOS, Linux or Windows; Node.js or Homebrew optional for installation"],
		19	+ "audiences": ["Developers who want a terminal-first coding agent", "Teams already on ChatGPT Business or Enterprise"],
		20	+ "alternatives": ["claude-code", "cursor", "github"],
		21	+ "categories": [{ "slug": "coding-agents", "primary": true }],
		22	+ "tags": ["agents", "cli", "llm", "rust", "open-source", "mcp"],
		23	+ "use_cases": ["write-code-with-ai"],
		24	+ "operating_systems": ["macos", "linux", "windows", "web"],
		25	+ "execution_modes": ["local", "cloud"],
		26	+ "interfaces": ["cli", "ide-extension", "desktop", "web"],
		27	+ "deployment_models": ["desktop", "saas"],
		28	+ "integrations": ["VS Code", "Cursor", "Windsurf", "GitHub", "Model Context Protocol", "ChatGPT"],
		29	+ "data_formats": ["Markdown (AGENTS.md)", "TOML (config)"],
		30	+ "languages": ["Rust (implementation)", "Any programming language (agent)"],
		31	+ "source_model": "mixed",
		32	+ "license_spdx": "Apache-2.0",
		33	+ "pricing_model": ["paid", "usage-based", "enterprise"],
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://learn.chatgpt.com/docs/codex/cli", "type": "official_docs", "title": "Codex CLI | ChatGPT Learn", "supports": ["capabilities", "interfaces", "prerequisites"], "checked_at": "2026-11-02", "note": "developers.openai.com/codex/cli redirects here" },
		37	+ { "url": "https://github.com/openai/codex", "type": "repository", "title": "openai/codex", "supports": ["license_spdx", "operating_systems", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://github.com/openai/codex/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://learn.chatgpt.com/docs", "type": "official_site", "title": "ChatGPT Learn", "supports": ["name", "pricing_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "medium",
		42	+ "uncertainty_note": "The product marketing page openai.com/codex returns 403 to automated clients and the docs site redirected to a ChatGPT-branded domain during verification; plan eligibility is taken from the GitHub README. No pricing_url is recorded because the plan page could not be loaded.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/openai-platform.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "openai-platform",
		3	+ "name": "OpenAI API",
		4	+ "aliases": ["OpenAI Platform", "OpenAI Developer Platform", "platform.openai.com"],
		5	+ "vendor": { "name": "OpenAI", "slug": "openai", "website": "https://developers.openai.com/api/docs" },
		6	+ "homepage_url": "https://developers.openai.com/api/docs",
		7	+ "docs_url": "https://developers.openai.com/api/docs",
		8	+ "repo_url": "https://github.com/openai/openai-python",
		9	+ "pricing_url": "https://developers.openai.com/api/docs/pricing",
		10	+ "product_type": "platform",
		11	+ "product_status": "active",
		12	+ "summary": "OpenAI's hosted developer platform: Responses and Chat Completions APIs, Realtime voice, embeddings, images, audio, fine-tuning, evals and managed agents",
		13	+ "description": "The OpenAI API is the developer platform through which OpenAI exposes its GPT, reasoning, image, audio and embedding models as metered HTTP services. The documentation now lives at developers.openai.com; the older platform.openai.com address remains the account console. It is a cloud-only, usage-billed service aimed at software teams who want to integrate language and multimodal models into applications without operating any model infrastructure.\n\nThe primary interface is the Responses API, which replaced the Assistants API and layers built-in tools (web search, file search, code interpreter, computer use, image generation, remote MCP servers) on top of model calls. Chat Completions remains available for compatibility and is widely imitated by other vendors, which makes the OpenAI request format a de facto standard for inference servers such as vLLM, Ollama and llama.cpp. Further endpoints cover the Realtime API for speech-to-speech sessions over WebRTC, WebSocket or SIP, embeddings, image generation and editing, transcription and text-to-speech, supervised, preference and reinforcement fine-tuning, batch and flex processing at lower priority, prompt caching, structured outputs, webhooks and an evals and graders service. An Agents SDK (Python and TypeScript) and a managed Agents API with sandboxes and sessions sit above the raw endpoints, and admin APIs, role-based access control and a Terraform provider cover organization management.\n\nOfficial SDKs exist for Python and Node, with others listed in the docs, plus an OpenAI CLI. Practical limits are those of any proprietary hosted API: model behavior and availability change on the vendor's schedule, rate limits and spend limits must be managed per organization, data handling is governed by OpenAI's terms rather than your own infrastructure, and there is no on-premises option. Note that openai.com and platform.openai.com return 403 to non-browser clients, which affects automated link checking.",
		14	+ "capabilities": ["Responses API with built-in tools (web search, file search, code interpreter, computer use, MCP)", "Chat Completions endpoint that other vendors emulate", "Realtime API for low-latency speech-to-speech over WebRTC, WebSocket or SIP", "Embeddings, image generation and editing, transcription and text-to-speech", "Supervised, DPO and reinforcement fine-tuning", "Batch and flex processing, prompt caching and structured outputs", "Evals and graders, webhooks, admin APIs and Terraform provider", "Agents SDK and managed Agents API with sandboxes and sessions"],
		15	+ "workflows": ["Add a chat or extraction feature to an application through the Responses API", "Build a tool-using agent with the Agents SDK and trace it in the dashboard", "Run large offline classification jobs through the Batch API", "Fine-tune a smaller model on domain data and route traffic to it"],
		16	+ "advantages": ["Broad model lineup across text, reasoning, vision, audio and images behind one account", "Request format widely supported by third-party tools and gateways", "Mature SDKs, documentation and cookbook", "Built-in hosted tools reduce the amount of orchestration code to write"],
		17	+ "limitations": ["Cloud-only; no self-hosted or on-premises deployment", "Models and endpoints are retired on the vendor's schedule (e.g. Assistants API)", "Costs scale with token volume and must be governed with spend limits", "Marketing and console pages block automated clients, complicating link monitoring"],
		18	+ "prerequisites": ["OpenAI account with billing enabled and an API key", "Python or Node runtime for the official SDKs, or any HTTP client"],
		19	+ "audiences": ["Application developers integrating LLM features", "Teams building agents and automations", "Researchers who need hosted frontier models through an API"],
		20	+ "alternatives": ["claude-developer-platform", "gemini-api", "mistral-ai", "openrouter", "together-ai"],
		21	+ "comparison_notes": "The Claude Platform (Anthropic) and the Gemini API (Google) are the closest hosted equivalents, each with its own request schema and tool-calling conventions; Anthropic additionally offers Managed Agents and Google ties its API to AI Studio and Vertex AI. Mistral AI publishes open-weight models alongside its API. OpenRouter and Together AI are aggregators or open-model hosts that accept the OpenAI request format, which is why many teams prototype against OpenAI and later swap the base URL.",
		22	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "agent-frameworks", "label": "Agents SDK and managed Agents API" }, { "slug": "speech-vision-multimodal", "label": "Realtime, audio and image endpoints" }],
		23	+ "tags": ["llm", "api", "agents", "embeddings", "speech", "images", "python", "typescript"],
		24	+ "use_cases": ["build-agents", "write-code-with-ai", "evaluate-llm-apps", "fine-tune-models"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["api", "sdk", "web", "cli"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["LangChain", "LlamaIndex", "LiteLLM", "Vercel AI SDK", "Model Context Protocol", "Terraform"],
		30	+ "data_formats": ["JSON", "JSON Schema (structured outputs)", "JSONL (batch, fine-tuning)", "Audio (WAV, MP3, Opus)", "Images (PNG, JPEG, WebP)"],
		31	+ "languages": ["Python", "TypeScript", "JavaScript"],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["usage-based", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://developers.openai.com/api/docs", "type": "official_site", "title": "OpenAI API docs", "supports": ["name", "summary", "capabilities", "interfaces"], "checked_at": "2026-11-02", "note": "developers.openai.com is the current documentation host; platform.openai.com returns 403 to automated clients" },
		38	+ { "url": "https://developers.openai.com/api/docs/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/openai/openai-python", "type": "repository", "title": "openai-python (Apache-2.0 SDK)", "supports": ["languages", "interfaces"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "The marketing site openai.com and the console platform.openai.com answer 403 to non-browser user agents; verification relied on developers.openai.com and the SDK repository.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "deep",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-A"
		49	+}

added content/tools/openalex.json +52 −0

				@@ -0,0 +1,52 @@
		1	+{
		2	+ "slug": "openalex",
		3	+ "name": "OpenAlex",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "OurResearch", "slug": "ourresearch", "website": "https://ourresearch.org" },
		6	+ "homepage_url": "https://openalex.org/",
		7	+ "docs_url": "https://help.openalex.org/",
		8	+ "repo_url": "https://github.com/ourresearch/openalex-api-tutorials",
		9	+ "pricing_url": "https://help.openalex.org/access/pricing/",
		10	+ "product_type": "data-service",
		11	+ "product_status": "active",
		12	+ "summary": "Open catalog of the global research system: works, authors, sources, institutions and topics under CC0, served by a REST API, web app and S3 snapshot",
		13	+ "description": "OpenAlex is an open bibliographic catalog run by OurResearch, a US non-profit. It indexes on the order of half a billion scholarly works together with linked entities for authors, sources (journals and repositories), institutions, topics, publishers and funders, and it is widely used as the successor data source for projects that depended on the discontinued Microsoft Academic Graph. The data are released under a CC0 public-domain dedication, so they can be reused, redistributed and combined without a personal-use restriction.\n\nAccess comes in several forms. The REST API supports filtering, searching, grouping and cursor paging over every entity type; a web application offers the same queries interactively and can translate search strategies written for PubMed, Scopus or Web of Science into OpenAlex's query language. The complete database is published as a snapshot in an S3 bucket (JSON Lines and a second format) that can be downloaded without an AWS account, with merge and deletion logs to keep local copies in sync. A connector for AI assistants and an llms.txt index are also provided.\n\nThe business model is \"free data, paid services\": basic queries work without a key, every free account receives a small daily API usage allowance that resets at midnight UTC, and heavier use is bought as prepaid usage or through annual institutional plans that add larger budgets, support and daily sync. A paid add-on syncs the archive of cached open-access PDFs.\n\nAs with any aggregated catalog, author disambiguation, institution matching and topic assignment are algorithmic and contain errors; a curation API lets authors fix their own profiles. The snapshot is several terabytes uncompressed, so local hosting needs substantial storage.",
		14	+ "capabilities": ["REST API over works, authors, sources, institutions, topics, publishers and funders", "Filter, search, group_by and cursor paging", "Full database snapshot in S3 (JSON Lines) free to download", "Open-access status and license metadata per work location", "Search-strategy translation from PubMed, Scopus, Web of Science and others", "Author curation API for correcting profiles", "Daily sync and change logs for institutional plans", "AI-assistant connector and llms.txt documentation index"],
		15	+ "workflows": ["Systematic-review search with reproducible OQL queries", "Bibliometric analysis of an institution or field from the snapshot", "Enriching a reference list with open-access locations", "Feeding a local DuckDB or PostgreSQL warehouse from JSON Lines files"],
		16	+ "advantages": ["CC0 data with no reuse restrictions", "Free daily API allowance with a self-serve key", "Complete snapshot downloadable without an account", "Operated by a non-profit with open-source code"],
		17	+ "limitations": ["API usage beyond the daily free budget is metered", "Entity disambiguation is algorithmic and imperfect", "Snapshot is very large to host locally", "Cursor paging requires an API key"],
		18	+ "prerequisites": ["Free account and API key for sustained use", "AWS CLI or S3-compatible client for the snapshot"],
		19	+ "audiences": ["Scientometrics and research-evaluation teams", "Librarians running systematic searches", "Developers building scholarly tools"],
		20	+ "alternatives": ["semantic-scholar", "crossref", "google-scholar", "repec"],
		21	+ "comparison_notes": "Crossref covers only DOI-registered content deposited by members while OpenAlex merges Crossref, repositories, ORCID and other sources into one graph; Semantic Scholar offers similar entities but with per-dataset licenses that may be non-commercial, whereas OpenAlex is uniformly CC0. Google Scholar has broader crawl-based coverage but no API or data export.",
		22	+ "categories": [{ "slug": "academic-discovery", "primary": true }, { "slug": "research-dissemination" }],
		23	+ "tags": ["api", "open-data", "bibliography", "citations", "cc0"],
		24	+ "use_cases": ["manage-references", "write-papers", "search-the-web-programmatically"],
		25	+ "operating_systems": ["web"],
		26	+ "execution_modes": ["cloud"],
		27	+ "interfaces": ["web", "api", "cli", "mcp-server"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["Amazon S3 (snapshot)", "Claude connector", "Zotero (via DOI lookup)", "Elicit", "Unpaywall"],
		30	+ "data_formats": ["JSON", "JSON Lines", "CSV export"],
		31	+ "languages": ["Python (pyalex, community)", "R (openalexR, community)"],
		32	+ "source_model": "open-source",
		33	+ "pricing_model": ["free", "freemium", "usage-based"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://openalex.org/", "type": "official_site", "title": "OpenAlex: The open catalog to the global research system", "supports": ["name", "summary", "description"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://help.openalex.org/", "type": "official_docs", "title": "OpenAlex Help Center", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://help.openalex.org/access/pricing/", "type": "pricing_page", "title": "How OpenAlex pricing works", "supports": ["pricing_model", "description"], "checked_at": "2026-11-02", "note": "States the CC0 license, the free daily allowance, prepaid usage and annual plans" },
		40	+ { "url": "https://help.openalex.org/api/authentication/", "type": "official_docs", "title": "Authentication", "supports": ["prerequisites", "limitations"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://help.openalex.org/access/snapshot/", "type": "official_docs", "title": "Snapshot", "supports": ["data_formats", "limitations"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://github.com/ourresearch/openalex-api-tutorials", "type": "repository", "title": "ourresearch/openalex-api-tutorials", "supports": ["source_model"], "checked_at": "2026-11-02" }
		43	+ ],
		44	+ "confidence": "high",
		45	+ "uncertainty_note": "self_hostable refers to downloading and hosting the CC0 snapshot; the API service itself is operated by OurResearch.",
		46	+ "discovery_method": "editorial-research",
		47	+ "depth": "deep",
		48	+ "editorial_status": "reviewed",
		49	+ "visibility": "public",
		50	+ "featured": false,
		51	+ "author": "batch-E"
		52	+}

added content/tools/openapi.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "openapi",
		3	+ "name": "OpenAPI Specification",
		4	+ "aliases": ["OpenAPI", "OAS", "Swagger Specification (former name)"],
		5	+ "vendor": { "name": "OpenAPI Initiative (Linux Foundation)", "slug": "openapi-initiative", "website": "https://www.openapis.org" },
		6	+ "homepage_url": "https://www.openapis.org/",
		7	+ "docs_url": "https://spec.openapis.org/oas/latest.html",
		8	+ "repo_url": "https://github.com/OAI/OpenAPI-Specification",
		9	+ "license_url": "https://github.com/OAI/OpenAPI-Specification/blob/main/LICENSE",
		10	+ "product_type": "specification",
		11	+ "product_status": "active",
		12	+ "summary": "Vendor-neutral, machine-readable standard for describing HTTP APIs in JSON or YAML, maintained by the OpenAPI Initiative under the Linux Foundation",
		13	+ "description": "The OpenAPI Specification is an open standard for describing HTTP APIs, maintained by the OpenAPI Initiative, a Linux Foundation project. It originated as the Swagger Specification and was donated in 2015 and renamed. An OpenAPI document, in JSON or YAML, declares an API's paths, operations, parameters, request and response bodies, authentication schemes and reusable schema components, with data shapes expressed in a JSON Schema dialect. Version 3.1 aligned the schema language fully with JSON Schema; the Initiative also publishes related specifications such as Arazzo for workflows and Overlay for document modification.\n\nThe specification itself is a document licensed under Apache-2.0; its value lies in the ecosystem that consumes it. Frameworks such as FastAPI and Hono generate OpenAPI documents from code, clients like Postman, Bruno and Hoppscotch import them, generators produce typed SDKs and server stubs, and documentation tools render interactive references. AI tooling increasingly uses OpenAPI documents to expose APIs as callable tools. Limitations: the format describes HTTP request-response APIs and does not cover event-driven or streaming protocols (AsyncAPI addresses those), large documents become hard to maintain by hand, and tool support for the newest versions lags the specification.",
		14	+ "capabilities": ["Declarative description of paths, operations and parameters", "Schema definitions aligned with JSON Schema", "Security scheme declarations (API keys, OAuth 2, HTTP auth)", "Reusable components and references across documents", "Basis for code generation, documentation and testing tools", "Companion specifications: Arazzo (workflows) and Overlay"],
		15	+ "workflows": ["Generate an API description from a FastAPI or Hono application", "Produce typed client SDKs from a description", "Import a description into an API client to explore endpoints", "Expose an API to an LLM agent as structured tools"],
		16	+ "advantages": ["Vendor-neutral standard with broad tool support", "Human- and machine-readable", "Apache-2.0 licensed specification text"],
		17	+ "limitations": ["Covers HTTP request-response APIs only", "Hand-maintained documents grow unwieldy", "Tool support for the latest versions can lag"],
		18	+ "prerequisites": ["None for the specification; tooling depends on language ecosystem"],
		19	+ "audiences": ["API designers and backend developers", "Platform teams standardizing API governance", "Developers integrating third-party APIs"],
		20	+ "alternatives": [],
		21	+ "comparison_notes": "GraphQL and gRPC define their own schema languages (SDL and Protocol Buffers) and are alternatives at the protocol level rather than competing description formats; AsyncAPI is the sibling specification for event-driven APIs. Within HTTP APIs, OpenAPI has no comparably adopted competitor.",
		22	+ "categories": [{ "slug": "api-development", "primary": true }],
		23	+ "tags": ["api", "specification", "json-schema", "open-source", "http"],
		24	+ "use_cases": ["build-agents", "test-apis"],
		25	+ "operating_systems": ["any"],
		26	+ "execution_modes": ["local", "cloud"],
		27	+ "interfaces": ["library"],
		28	+ "deployment_models": [],
		29	+ "integrations": ["FastAPI", "Hono", "Postman", "Bruno", "Hoppscotch", "Swagger UI", "Redoc"],
		30	+ "data_formats": ["JSON", "YAML", "JSON Schema"],
		31	+ "languages": [],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": null,
		36	+ "sources": [
		37	+ { "url": "https://www.openapis.org/", "type": "official_site", "title": "OpenAPI Initiative", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://spec.openapis.org/oas/latest.html", "type": "official_docs", "title": "OpenAPI Specification (latest)", "supports": ["capabilities", "description"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/OAI/OpenAPI-Specification/blob/main/LICENSE", "type": "license_page", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://learn.openapis.org/", "type": "official_docs", "title": "OpenAPI Documentation (learn.openapis.org)", "supports": ["workflows"], "checked_at": "2026-11-02" }
		41	+ ],
		42	+ "confidence": "high",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B1"
		49	+}

added content/tools/openfigi.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "openfigi",
		3	+ "name": "OpenFIGI",
		4	+ "aliases": ["FIGI", "Financial Instrument Global Identifier"],
		5	+ "vendor": { "name": "Bloomberg L.P. (FIGI Registration Authority)", "slug": "bloomberg", "website": "https://www.openfigi.com" },
		6	+ "homepage_url": "https://www.openfigi.com/",
		7	+ "docs_url": "https://www.openfigi.com/api/documentation",
		8	+ "license_url": "https://www.openfigi.com/docs/terms-of-service",
		9	+ "product_type": "api-service",
		10	+ "product_status": "active",
		11	+ "summary": "Free API and web tool from Bloomberg for mapping tickers, ISINs, CUSIPs and other identifiers to public-domain FIGI instrument identifiers, with search and filter endpoints",
		12	+ "description": "OpenFIGI is the public access point for the Financial Instrument Global Identifier (FIGI), an open symbology standard adopted by the Object Management Group for which Bloomberg acts as registration authority and certified provider. The API's v3 endpoints accept JSON POST requests: /mapping converts batches of third-party identifiers (ticker, ISIN, CUSIP, SEDOL and others, optionally filtered by exchange, currency or security type) to FIGIs with descriptive metadata; /search and /filter find instruments by keyword with pagination; and a values endpoint lists valid enumerations. A free API key sent in the X-OPENFIGI-APIKEY header raises the request and job limits that apply to anonymous use.\n\nThe terms of service dedicate FIGI identifiers to the public domain irrevocably, allowing use, modification and redistribution for any purpose including to one's own customers, which makes FIGI a convenient join key for research datasets that mix vendors. Caveats are that descriptive metadata beyond the identifier is provided as-is, coverage of corporate actions and historical identifier changes is not the API's purpose, and rate limits make very large mapping jobs slow without a key.",
		13	+ "capabilities": ["Mapping of tickers, ISINs, CUSIPs, SEDOLs and more to FIGIs", "Keyword search and filtered search with pagination", "Enumeration endpoint for valid field values", "Batch mapping jobs with exchange and currency filters", "Free API key for higher limits", "Public-domain identifiers"],
		14	+ "workflows": ["Normalizing security identifiers across vendor datasets", "Resolving tickers to exchange-level FIGIs before merging price data"],
		15	+ "advantages": ["Free and keyed access without contracts", "Identifiers dedicated to the public domain", "Open standard governed by OMG"],
		16	+ "limitations": ["Rate limits, especially without a key", "Metadata provided without warranty", "Not a source of prices or corporate actions"],
		17	+ "prerequisites": ["Optional free API key"],
		18	+ "audiences": ["Data engineers building security masters", "Researchers merging multi-vendor datasets"],
		19	+ "alternatives": ["bloomberg-terminal", "polygon-io", "databento", "sec-edgar"],
		20	+ "comparison_notes": "The Bloomberg Terminal and vendors such as Massive and Databento provide their own reference data within paid products; OpenFIGI is the free, vendor-neutral identifier layer. SEC EDGAR offers CIK-ticker mappings for US filers only.",
		21	+ "categories": [{ "slug": "market-data-apis", "primary": true }],
		22	+ "tags": ["api", "market-data", "identifiers", "open-standard"],
		23	+ "use_cases": ["access-market-data"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["api", "web"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Community Python and R clients", "OpenAPI specification"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": [],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["free"],
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://www.openfigi.com/", "type": "official_site", "title": "OpenFIGI", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://www.openfigi.com/api/documentation", "type": "official_docs", "title": "Documentation | OpenFIGI", "supports": ["capabilities", "limitations", "prerequisites"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://www.openfigi.com/api/overview", "type": "official_docs", "title": "Overview | OpenFIGI", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.openfigi.com/docs/terms-of-service", "type": "policy_page", "title": "OpenFIGI Terms of Service", "supports": ["advantages", "limitations", "vendor"], "checked_at": "2026-11-02", "note": "FIGI identifiers dedicated to the public domain; metadata as-is" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-E"
		47	+}

added content/tools/openrouter.json +47 −0

				@@ -0,0 +1,47 @@
		1	+{
		2	+ "slug": "openrouter",
		3	+ "name": "OpenRouter",
		4	+ "aliases": ["openrouter.ai"],
		5	+ "vendor": { "name": "OpenRouter, Inc.", "slug": "openrouter-inc", "website": "https://openrouter.ai" },
		6	+ "homepage_url": "https://openrouter.ai/",
		7	+ "docs_url": "https://openrouter.ai/docs/quickstart",
		8	+ "pricing_url": "https://openrouter.ai/pricing",
		9	+ "privacy_url": "https://openrouter.ai/privacy",
		10	+ "product_type": "api-service",
		11	+ "product_status": "active",
		12	+ "summary": "Unified API gateway to hundreds of models from many providers with automatic fallbacks, credit-based pass-through billing, BYOK, free models and data-policy routing",
		13	+ "description": "OpenRouter is a hosted gateway that fronts hundreds of models from many providers behind one API key and one endpoint. Requests use an OpenAI-compatible schema (plus a native Responses-style endpoint), so the OpenAI SDK works by changing the base URL, and thin TypeScript and Python client SDKs and an agent SDK with tool loops are also offered. The service routes each request to a provider, falls back automatically on errors, exposes latest aliases that resolve to the newest model in a family, and lets callers constrain routing by data policy, region or provider. A models endpoint lists everything available, and a hosted MCP server lets coding assistants query live catalog data.\n\nBilling is credit-based: inference is charged at the provider's list price and a platform fee applies when credits are purchased, with bring-your-own-key use billed by the provider directly. A Free plan grants access to free models with daily caps; Standard adds the full catalog and spend controls; Business adds EU or US in-region routing and workload identity; Enterprise adds private endpoints, SSO and contractual terms. OpenRouter is useful for comparing models or hedging against provider outages, at the cost of an extra hop, an intermediary in the data path (logging is configurable) and dependence on third-party capacity.",
		14	+ "capabilities": ["Single API key and endpoint for hundreds of models", "Automatic fallbacks and provider routing with data-policy and region constraints", "OpenAI-compatible schema plus native SDKs and an agent SDK", "Credit-based pass-through pricing and BYOK", "Free models with daily caps", "Models endpoint and hosted MCP server for catalog data"],
		15	+ "workflows": ["Benchmark several providers' models with one client", "Add provider fallback to a production assistant", "Route EU workloads in-region on the Business plan"],
		16	+ "advantages": ["Broadest model catalog from one account", "No provider markup on inference", "Easy migration via OpenAI compatibility"],
		17	+ "limitations": ["Extra network hop and intermediary in the data path", "Platform fee on credit purchases", "Model availability depends on upstream providers"],
		18	+ "prerequisites": ["OpenRouter account with credits or BYOK keys"],
		19	+ "audiences": ["Developers comparing or hedging across providers", "Teams wanting one bill for many models", "Hobbyists using free models"],
		20	+ "alternatives": ["litellm", "together-ai", "groq", "openai-platform"],
		21	+ "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "llm-ops", "label": "Routing, fallbacks and spend controls" }],
		22	+ "tags": ["llm", "api", "gateway", "routing", "python", "typescript"],
		23	+ "use_cases": ["build-agents", "evaluate-llm-apps"],
		24	+ "operating_systems": ["any"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["api", "sdk", "web", "mcp-server"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["OpenAI SDK compatibility", "Vercel AI SDK", "LangChain", "LiteLLM", "Model Context Protocol"],
		29	+ "data_formats": ["JSON"],
		30	+ "languages": ["TypeScript", "Python"],
		31	+ "source_model": "proprietary",
		32	+ "pricing_model": ["freemium", "usage-based", "enterprise"],
		33	+ "pricing_checked_at": "2026-11-02",
		34	+ "self_hostable": false,
		35	+ "sources": [
		36	+ { "url": "https://openrouter.ai/", "type": "official_site", "title": "OpenRouter", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		37	+ { "url": "https://openrouter.ai/docs/quickstart", "type": "official_docs", "title": "OpenRouter quickstart", "supports": ["capabilities", "interfaces", "languages"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://openrouter.ai/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Free, Standard, Business, Enterprise; credits with platform fee; BYOK" }
		39	+ ],
		40	+ "confidence": "high",
		41	+ "discovery_method": "editorial-research",
		42	+ "depth": "standard",
		43	+ "editorial_status": "reviewed",
		44	+ "visibility": "public",
		45	+ "featured": false,
		46	+ "author": "batch-A"
		47	+}

added content/tools/opensearch.json +177 −0

				@@ -0,0 +1,177 @@
		1	+{
		2	+ "aliases": [
		3	+ "OpenSearch Dashboards"
		4	+ ],
		5	+ "workflows": [
		6	+ "Log analytics with Dashboards",
		7	+ "Vector and hybrid search for RAG with the k-NN plugin",
		8	+ "Drop-in alternative where Apache 2.0 licensing is required"
		9	+ ],
		10	+ "advantages": [
		11	+ "Fully Apache 2.0 including security features",
		12	+ "Foundation governance",
		13	+ "Managed service on AWS"
		14	+ ],
		15	+ "limitations": [
		16	+ "APIs diverge from Elasticsearch over time",
		17	+ "Same JVM sizing and cluster operations burden",
		18	+ "Smaller ecosystem of third-party integrations than Elastic"
		19	+ ],
		20	+ "prerequisites": [
		21	+ "JVM-based server, Docker or Kubernetes, or Amazon OpenSearch Service"
		22	+ ],
		23	+ "audiences": [
		24	+ "Platform teams needing permissively licensed search",
		25	+ "AWS users"
		26	+ ],
		27	+ "alternatives": [
		28	+ "elasticsearch",
		29	+ "meilisearch",
		30	+ "typesense",
		31	+ "qdrant",
		32	+ "clickhouse"
		33	+ ],
		34	+ "tags": [
		35	+ "search-engine",
		36	+ "full-text-search",
		37	+ "vector-search",
		38	+ "monitoring",
		39	+ "open-source",
		40	+ "self-hosted"
		41	+ ],
		42	+ "use_cases": [
		43	+ "monitor-services",
		44	+ "semantic-search",
		45	+ "add-site-search"
		46	+ ],
		47	+ "operating_systems": [
		48	+ "linux",
		49	+ "macos",
		50	+ "windows"
		51	+ ],
		52	+ "deployment_models": [
		53	+ "on-premises",
		54	+ "managed-cloud"
		55	+ ],
		56	+ "integrations": [
		57	+ "Amazon OpenSearch Service",
		58	+ "Data Prepper",
		59	+ "Fluent Bit",
		60	+ "Logstash",
		61	+ "LangChain"
		62	+ ],
		63	+ "data_formats": [
		64	+ "JSON",
		65	+ "NDJSON (bulk API)"
		66	+ ],
		67	+ "languages": [
		68	+ "Java",
		69	+ "Python",
		70	+ "JavaScript",
		71	+ "Go",
		72	+ "C#",
		73	+ "PHP",
		74	+ "Ruby",
		75	+ "Rust"
		76	+ ],
		77	+ "self_hostable": true,
		78	+ "discovery_method": "editorial-research",
		79	+ "depth": "standard",
		80	+ "editorial_status": "reviewed",
		81	+ "visibility": "public",
		82	+ "featured": false,
		83	+ "author": "batch-D",
		84	+ "slug": "opensearch",
		85	+ "name": "OpenSearch",
		86	+ "vendor": {
		87	+ "name": "OpenSearch Software Foundation (Linux Foundation)",
		88	+ "slug": "opensearch-software-foundation",
		89	+ "website": "https://opensearch.org/"
		90	+ },
		91	+ "homepage_url": "https://opensearch.org/",
		92	+ "docs_url": "https://docs.opensearch.org/latest/",
		93	+ "repo_url": "https://github.com/opensearch-project/OpenSearch",
		94	+ "license_url": "https://github.com/opensearch-project/OpenSearch/blob/main/LICENSE.txt",
		95	+ "product_type": "database",
		96	+ "product_status": "active",
		97	+ "summary": "Apache-2.0 search and analytics suite forked from Elasticsearch and Kibana, governed by the OpenSearch Software Foundation",
		98	+ "description": "OpenSearch is a search and analytics suite consisting of the OpenSearch engine and OpenSearch Dashboards. It began in 2021 as a fork of Elasticsearch 7.10 and Kibana after Elastic's license change, was led by Amazon, and since 2024 is governed by the OpenSearch Software Foundation under the Linux Foundation. The entire project is Apache 2.0, including features that are commercial in the Elastic Stack such as security, alerting, anomaly detection and the k-NN vector search plugin, which supports HNSW indexes through Lucene, Faiss or NMSLIB and neural search pipelines that embed text on ingest.\n\nAmazon OpenSearch Service is the main managed offering; other vendors and self-hosting via Docker, Helm or packages are common. Because the APIs descend from Elasticsearch 7.x, many clients and tools still work, but divergence grows with each release, so compatibility must be checked per feature. Operational characteristics (JVM, shards, heap) match its ancestor.",
		99	+ "capabilities": [
		100	+ "Full-text search and aggregations on a Lucene core",
		101	+ "k-NN vector search with HNSW (Lucene, Faiss, NMSLIB engines)",
		102	+ "Neural search and hybrid query pipelines",
		103	+ "Security, alerting and anomaly detection plugins under Apache 2.0",
		104	+ "OpenSearch Dashboards for visualization",
		105	+ "Clients for Java, Python, JavaScript, Go, .NET, PHP, Ruby and Rust"
		106	+ ],
		107	+ "categories": [
		108	+ {
		109	+ "slug": "vector-databases",
		110	+ "primary": true
		111	+ },
		112	+ {
		113	+ "slug": "analytics-engines"
		114	+ },
		115	+ {
		116	+ "slug": "monitoring-observability"
		117	+ }
		118	+ ],
		119	+ "execution_modes": [
		120	+ "self-hosted",
		121	+ "cloud"
		122	+ ],
		123	+ "interfaces": [
		124	+ "api",
		125	+ "sdk",
		126	+ "web"
		127	+ ],
		128	+ "source_model": "open-source",
		129	+ "license_spdx": "Apache-2.0",
		130	+ "pricing_model": [
		131	+ "open-source",
		132	+ "free"
		133	+ ],
		134	+ "sources": [
		135	+ {
		136	+ "url": "https://opensearch.org/",
		137	+ "type": "official_site",
		138	+ "supports": [
		139	+ "name",
		140	+ "summary",
		141	+ "vendor"
		142	+ ],
		143	+ "checked_at": "2026-11-02",
		144	+ "title": "OpenSearch"
		145	+ },
		146	+ {
		147	+ "url": "https://docs.opensearch.org/latest/",
		148	+ "type": "official_docs",
		149	+ "supports": [
		150	+ "capabilities",
		151	+ "languages"
		152	+ ],
		153	+ "checked_at": "2026-11-02",
		154	+ "title": "OpenSearch Documentation"
		155	+ },
		156	+ {
		157	+ "url": "https://github.com/opensearch-project/OpenSearch/blob/main/LICENSE.txt",
		158	+ "type": "license_page",
		159	+ "supports": [
		160	+ "license_spdx",
		161	+ "source_model"
		162	+ ],
		163	+ "checked_at": "2026-11-02",
		164	+ "title": "OpenSearch LICENSE.txt (Apache 2.0)"
		165	+ },
		166	+ {
		167	+ "url": "https://github.com/opensearch-project/OpenSearch",
		168	+ "type": "repository",
		169	+ "supports": [
		170	+ "repo_url"
		171	+ ],
		172	+ "checked_at": "2026-11-02",
		173	+ "title": "opensearch-project/OpenSearch"
		174	+ }
		175	+ ],
		176	+ "confidence": "high"
		177	+}

added content/tools/openssh.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "openssh",
		3	+ "name": "OpenSSH",
		4	+ "aliases": ["ssh", "sshd", "OpenSSH Portable"],
		5	+ "vendor": { "name": "OpenBSD Project", "slug": "openbsd", "website": "https://www.openbsd.org" },
		6	+ "homepage_url": "https://www.openssh.org/",
		7	+ "docs_url": "https://www.openssh.org/manual.html",
		8	+ "repo_url": "https://github.com/openssh/openssh-portable",
		9	+ "license_url": "https://github.com/openssh/openssh-portable/blob/master/LICENCE",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "Reference implementation of the SSH protocol from the OpenBSD project: remote shell, file transfer, port forwarding, key agent and certificate authority tooling",
		13	+ "description": "OpenSSH is the suite of SSH client and server programs developed by the OpenBSD project and distributed under BSD-style licenses, with a portable branch maintained for Linux, macOS and other systems. It provides `ssh` for encrypted remote shells and command execution, `sshd` as the server, `scp` and `sftp` for file transfer, `ssh-keygen` for keys and certificates, and `ssh-agent` for holding unlocked keys and forwarding them through intermediate hosts.\n\nBeyond login it is a general transport: local, remote and dynamic port forwarding tunnel arbitrary TCP services, `ProxyJump` chains connections through bastions, multiplexed control sockets reuse one connection, and the client configuration file lets operators give short aliases to dozens of hosts with per-host keys and options. Public-key authentication, FIDO/U2F hardware keys and SSH certificates issued by an organizational CA replace passwords, and `sshd_config` directives such as `AllowUsers` and `Match` blocks harden the server.\n\nOpenSSH ships with macOS and virtually every Linux distribution, which is why it remains the substrate for tools such as rsync, Ansible, Git over SSH and cluster orchestration scripts. Its limits are those of a point-to-point tool: it does not manage networks or identities across many machines, and exposing sshd to the internet invites brute-force traffic that tools like Fail2Ban or CrowdSec are commonly deployed to curb.",
		14	+ "capabilities": ["Encrypted remote shell and command execution (ssh, sshd)", "File transfer with scp and sftp", "Local, remote and dynamic port forwarding and ProxyJump bastion chaining", "Public-key, certificate and FIDO/U2F hardware-key authentication", "ssh-agent with agent forwarding and connection multiplexing", "Per-host client configuration and server hardening directives"],
		15	+ "workflows": ["Administer a fleet of servers through host aliases and key-based login", "Tunnel a database or web port from a remote host to a laptop", "Run rsync, Git and Ansible over SSH transport"],
		16	+ "advantages": ["Preinstalled on macOS and Linux", "Decades of security scrutiny from the OpenBSD team", "Permissive licensing and universal tooling support"],
		17	+ "limitations": ["Point-to-point tool without network or identity management", "Internet-exposed servers attract brute-force attempts", "Key distribution across many hosts needs external tooling"],
		18	+ "prerequisites": ["Network reachability to the server on the SSH port (or through a VPN/tunnel)"],
		19	+ "audiences": ["System administrators", "Developers", "Cluster and HPC operators"],
		20	+ "alternatives": ["tailscale", "wireguard"],
		21	+ "comparison_notes": "Tailscale SSH layers identity-based authentication and tailnet reachability on top of the same protocol, removing key management; WireGuard provides a network tunnel over which plain OpenSSH runs. OpenSSH remains the common denominator that both build on or complement.",
		22	+ "categories": [{ "slug": "tunneling-remote-access", "primary": true }],
		23	+ "tags": ["ssh", "remote-access", "cli", "open-source", "security", "macos", "linux"],
		24	+ "use_cases": ["access-remote-machines", "expose-local-services"],
		25	+ "operating_systems": ["linux", "macos", "windows"],
		26	+ "execution_modes": ["local", "self-hosted"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["on-premises"],
		29	+ "integrations": ["rsync", "Git", "Ansible", "Tailscale", "Fail2Ban"],
		30	+ "data_formats": ["OpenSSH key and certificate formats", "ssh_config / sshd_config"],
		31	+ "languages": ["C"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "SSH-OpenSSH",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://www.openssh.org/", "type": "official_site", "title": "OpenSSH", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02", "note": "www.openssh.com redirects here; OpenSSH 10.6 was announced as released 2026-10-06." },
		38	+ { "url": "https://www.openssh.org/manual.html", "type": "official_docs", "title": "OpenSSH Manual Pages", "supports": ["capabilities", "data_formats"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/openssh/openssh-portable/blob/master/LICENCE", "type": "license_page", "title": "OpenSSH LICENCE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "Composite file: all components under BSD or more permissive licences." }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "The LICENCE file is a composite of BSD-style terms; SSH-OpenSSH is the SPDX identifier for the OpenSSH license text.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-B2"
		49	+}

added content/tools/openstreetmap.json +174 −0

				@@ -0,0 +1,174 @@
		1	+{
		2	+ "slug": "openstreetmap",
		3	+ "name": "OpenStreetMap",
		4	+ "aliases": [
		5	+ "OSM"
		6	+ ],
		7	+ "vendor": {
		8	+ "name": "OpenStreetMap Foundation",
		9	+ "slug": "osmf",
		10	+ "website": "https://osmfoundation.org"
		11	+ },
		12	+ "homepage_url": "https://www.openstreetmap.org/",
		13	+ "docs_url": "https://wiki.openstreetmap.org/wiki/Main_Page",
		14	+ "license_url": "https://www.openstreetmap.org/copyright",
		15	+ "product_type": "data-service",
		16	+ "product_status": "active",
		17	+ "summary": "Collaboratively edited world map database released under the ODbL, with planet files, an editing API and derived tiles and extracts",
		18	+ "description": "OpenStreetMap is a volunteer-built geographic database of the world, supported by the OpenStreetMap Foundation, and is the primary open data source in the GIS and mapping category. Contributors map roads, buildings, addresses, land use, points of interest and administrative boundaries as nodes, ways and relations with free-form tags; the result is published under the Open Database License, which allows reuse with attribution and share-alike on derived databases.\n\nData is obtained in several ways: the full planet file and regional extracts (from the Foundation and mirrors such as Geofabrik), the editing API v0.6 for small reads and writes, the Overpass API for filtered queries, and prebuilt products such as raster tiles, vector tiles and routing graphs. Tooling such as osm2pgsql, osmium and GDAL loads extracts into PostGIS or files, and QGIS, GeoPandas and web libraries consume them directly.\n\nFor researchers, OSM provides building footprints, street networks and amenities for accessibility, walkability and hedonic studies; for products, it underlies MapLibre and Mapbox base maps and many geocoders. The Foundation publishes usage policies for its public tile and API servers that forbid heavy automated use; production applications should host their own copies or use a commercial provider.\n\nCaveats: completeness and attribute quality vary by region and feature type, tags are community conventions rather than a strict schema, data changes continuously so snapshots must be dated, and the ODbL share-alike clause needs legal consideration when merging OSM with proprietary data.",
		19	+ "capabilities": [
		20	+ "Global vector map database of roads, buildings, addresses and POIs",
		21	+ "Planet files and regional extracts for bulk use",
		22	+ "Editing API v0.6 for reads and contributions",
		23	+ "Public raster tile layers under a usage policy",
		24	+ "Rich community documentation of tagging conventions",
		25	+ "Ecosystem of importers, renderers, routers and geocoders"
		26	+ ],
		27	+ "workflows": [
		28	+ "Import a provincial extract into PostGIS with osm2pgsql",
		29	+ "Query amenities around properties through Overpass",
		30	+ "Render a custom base map with MapLibre from OSM-derived vector tiles"
		31	+ ],
		32	+ "advantages": [
		33	+ "Free and open under ODbL",
		34	+ "Global coverage with frequent updates",
		35	+ "Very large tool ecosystem"
		36	+ ],
		37	+ "limitations": [
		38	+ "Coverage and attribute quality vary by region",
		39	+ "Public tile and API servers have strict usage policies",
		40	+ "Share-alike license terms affect derived databases",
		41	+ "Continuous change requires dated snapshots"
		42	+ ],
		43	+ "prerequisites": [
		44	+ "Tooling to process extracts (osmium, osm2pgsql, GDAL) for bulk use"
		45	+ ],
		46	+ "audiences": [
		47	+ "GIS analysts and developers",
		48	+ "Urban and transport researchers",
		49	+ "Map product teams"
		50	+ ],
		51	+ "alternatives": [
		52	+ "overpass-api",
		53	+ "google-maps-platform",
		54	+ "mapbox",
		55	+ "maplibre"
		56	+ ],
		57	+ "comparison_notes": "Overpass API is a query service over OSM data rather than an alternative dataset. Google Maps Platform and Mapbox are commercial, API-metered services that bundle base maps and geocoding with their own or mixed data; MapLibre is an open rendering library frequently used with OSM-derived tiles.",
		58	+ "categories": [
		59	+ {
		60	+ "slug": "gis-mapping",
		61	+ "primary": true
		62	+ },
		63	+ {
		64	+ "slug": "open-public-data"
		65	+ }
		66	+ ],
		67	+ "tags": [
		68	+ "gis",
		69	+ "open-data",
		70	+ "maps",
		71	+ "odbl",
		72	+ "crowdsourced"
		73	+ ],
		74	+ "use_cases": [
		75	+ "map-geodata"
		76	+ ],
		77	+ "operating_systems": [
		78	+ "web",
		79	+ "any"
		80	+ ],
		81	+ "execution_modes": [
		82	+ "cloud",
		83	+ "self-hosted"
		84	+ ],
		85	+ "interfaces": [
		86	+ "web",
		87	+ "api"
		88	+ ],
		89	+ "deployment_models": [
		90	+ "saas",
		91	+ "on-premises"
		92	+ ],
		93	+ "integrations": [
		94	+ "QGIS",
		95	+ "PostGIS",
		96	+ "osm2pgsql",
		97	+ "GDAL",
		98	+ "MapLibre",
		99	+ "Leaflet",
		100	+ "Overpass API",
		101	+ "Nominatim"
		102	+ ],
		103	+ "data_formats": [
		104	+ "PBF",
		105	+ "OSM XML",
		106	+ "GeoJSON (via tools)",
		107	+ "Vector tiles (derived)"
		108	+ ],
		109	+ "languages": [],
		110	+ "source_model": "open-source",
		111	+ "license_spdx": "ODbL-1.0",
		112	+ "pricing_model": [
		113	+ "free"
		114	+ ],
		115	+ "self_hostable": true,
		116	+ "sources": [
		117	+ {
		118	+ "url": "https://www.openstreetmap.org/",
		119	+ "type": "official_site",
		120	+ "supports": [
		121	+ "name",
		122	+ "summary"
		123	+ ],
		124	+ "checked_at": "2026-11-02",
		125	+ "title": "OpenStreetMap"
		126	+ },
		127	+ {
		128	+ "url": "https://wiki.openstreetmap.org/wiki/Main_Page",
		129	+ "type": "official_docs",
		130	+ "supports": [
		131	+ "capabilities",
		132	+ "integrations",
		133	+ "data_formats"
		134	+ ],
		135	+ "checked_at": "2026-11-02",
		136	+ "title": "OpenStreetMap Wiki"
		137	+ },
		138	+ {
		139	+ "url": "https://www.openstreetmap.org/copyright",
		140	+ "type": "license_page",
		141	+ "supports": [
		142	+ "license_spdx",
		143	+ "source_model"
		144	+ ],
		145	+ "checked_at": "2026-11-02",
		146	+ "title": "Copyright and License — ODbL"
		147	+ },
		148	+ {
		149	+ "url": "https://operations.osmfoundation.org/policies/api/",
		150	+ "type": "policy_page",
		151	+ "supports": [
		152	+ "limitations"
		153	+ ],
		154	+ "checked_at": "2026-11-02",
		155	+ "title": "OSMF API Usage Policy"
		156	+ },
		157	+ {
		158	+ "url": "https://planet.openstreetmap.org/",
		159	+ "type": "official_site",
		160	+ "supports": [
		161	+ "data_formats"
		162	+ ],
		163	+ "checked_at": "2026-11-02",
		164	+ "title": "Planet OSM"
		165	+ }
		166	+ ],
		167	+ "confidence": "high",
		168	+ "depth": "deep",
		169	+ "featured": true,
		170	+ "discovery_method": "editorial-research",
		171	+ "editorial_status": "reviewed",
		172	+ "visibility": "public",
		173	+ "author": "batch-F"
		174	+}

added content/tools/opentofu.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "opentofu",
		3	+ "name": "OpenTofu",
		4	+ "aliases": ["OpenTF"],
		5	+ "vendor": { "name": "Linux Foundation (OpenTofu project)", "slug": "linux-foundation", "website": "https://www.linuxfoundation.org" },
		6	+ "homepage_url": "https://opentofu.org/",
		7	+ "docs_url": "https://opentofu.org/docs/",
		8	+ "repo_url": "https://github.com/opentofu/opentofu",
		9	+ "license_url": "https://github.com/opentofu/opentofu/blob/main/LICENSE",
		10	+ "product_type": "cli-tool",
		11	+ "product_status": "active",
		12	+ "summary": "Community fork of Terraform under the Linux Foundation, keeping the HCL language, provider ecosystem and state model under the MPL-2.0 license",
		13	+ "description": "OpenTofu is an infrastructure-as-code tool created in 2023 as a fork of Terraform after HashiCorp moved Terraform to the Business Source License. It is stewarded by the Linux Foundation and released under MPL-2.0. The command-line workflow is the one Terraform users know: write HCL describing providers and resources, run `tofu plan` to preview changes, `tofu apply` to reconcile real infrastructure with the configuration, and keep state locally or in a remote backend.\n\nExisting Terraform configurations, modules and providers from the public registry work largely unchanged, and OpenTofu publishes its own registry that mirrors providers and modules. The project has added features of its own, such as state encryption, early variable evaluation and provider-defined functions, while aiming to remain a drop-in replacement for common workflows.\n\nAs a younger project it has a smaller vendor ecosystem for hosted execution (several third-party platforms support it), and features diverge gradually from Terraform, so teams must choose one tool per state file.",
		14	+ "capabilities": ["Declarative infrastructure in HCL with plan and apply workflow", "Compatible with Terraform providers and modules via its own registry", "Remote state backends with locking", "Client-side state encryption", "Workspaces, modules and provider-defined functions"],
		15	+ "workflows": ["Provision cloud servers, DNS and networking from version-controlled HCL", "Migrate an existing Terraform project without rewriting configuration", "Run plan and apply in CI with encrypted remote state"],
		16	+ "advantages": ["OSI-approved MPL-2.0 license under neutral governance", "Drop-in compatibility with most Terraform code", "Additional features such as state encryption"],
		17	+ "limitations": ["Smaller commercial ecosystem than Terraform", "Gradual divergence means configurations must target one tool", "No first-party hosted execution service"],
		18	+ "prerequisites": ["Provider credentials for the target platforms"],
		19	+ "audiences": ["Infrastructure and platform engineers", "Organizations avoiding source-available licensing"],
		20	+ "alternatives": ["terraform", "ansible"],
		21	+ "comparison_notes": "Terraform is the original with HCP Terraform as hosted service but under BSL 1.1; OpenTofu keeps an open-source license and governance. Ansible is procedural configuration management rather than declarative provisioning, and the two are often combined.",
		22	+ "categories": [{ "slug": "infrastructure-provisioning", "primary": true }],
		23	+ "tags": ["infrastructure-as-code", "hcl", "cli", "open-source", "devops", "cloud"],
		24	+ "use_cases": ["provision-infrastructure"],
		25	+ "operating_systems": ["macos", "linux", "windows"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["cli"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["AWS", "Google Cloud", "Azure", "Cloudflare", "Hetzner Cloud", "OVHcloud", "Kubernetes", "GitHub Actions"],
		30	+ "data_formats": ["HCL", "JSON", "state files"],
		31	+ "languages": ["Go"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "MPL-2.0",
		34	+ "pricing_model": ["open-source", "free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://opentofu.org/", "type": "official_site", "title": "OpenTofu", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02", "note": "States the project is under the Linux Foundation's stewardship and a drop-in replacement for Terraform." },
		38	+ { "url": "https://opentofu.org/docs/", "type": "official_docs", "title": "OpenTofu Documentation", "supports": ["capabilities", "workflows"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/opentofu/opentofu/blob/main/LICENSE", "type": "license_page", "title": "OpenTofu LICENSE (MPL-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/orbstack.json +48 −0

				@@ -0,0 +1,48 @@
		1	+{
		2	+ "slug": "orbstack",
		3	+ "name": "OrbStack",
		4	+ "aliases": [],
		5	+ "vendor": { "name": "OrbStack (Orbital Labs)", "slug": "orbstack", "website": "https://orbstack.dev" },
		6	+ "homepage_url": "https://orbstack.dev/",
		7	+ "docs_url": "https://docs.orbstack.dev/",
		8	+ "repo_url": "https://github.com/orbstack/orbstack",
		9	+ "pricing_url": "https://orbstack.dev/pricing",
		10	+ "product_type": "application",
		11	+ "product_status": "active",
		12	+ "summary": "macOS application that runs Docker containers, Linux machines and a local Kubernetes cluster as a lighter replacement for Docker Desktop",
		13	+ "description": "OrbStack is a proprietary macOS application that provides a Docker-compatible container engine, full Linux virtual machines and an optional single-node Kubernetes cluster on Apple Silicon and Intel Macs. It reuses the standard Docker CLI, Compose files and images, so existing workflows carry over, while its own virtualization layer aims at low memory use, fast start-up and transparent file sharing and networking between macOS and the guest.\n\nIt is typically adopted by developers who want Docker Desktop's convenience on a Mac without that product's resource footprint or licensing terms. The documentation states that macOS 14.0 or newer is required and that Intel and Apple Silicon builds are separate. OrbStack is free for personal, non-commercial use; business use requires a paid Pro subscription, with an Enterprise option for organizations. The GitHub repository hosts issues and release notes rather than the application's source code, so it should be treated as closed source.",
		14	+ "capabilities": ["Docker-compatible engine usable with the standard docker and docker compose CLIs", "Lightweight Linux machines (Ubuntu, Debian, Fedora, Alpine and others) with shared files and SSH access", "Optional local Kubernetes cluster", "Automatic HTTPS domains for containers and machines on the local network", "Menu-bar GUI with container, volume and image management"],
		15	+ "workflows": ["Replace Docker Desktop on a development Mac", "Run a Linux shell for tooling that lacks macOS builds", "Spin up a throwaway Kubernetes cluster for manifests testing"],
		16	+ "advantages": ["Low idle resource use compared with VM-based alternatives", "Drop-in for existing Docker CLI and Compose usage", "Rosetta-based x86 emulation on Apple Silicon"],
		17	+ "limitations": ["macOS only; requires a recent macOS release", "Closed source; commercial use requires a paid license", "Smaller ecosystem than Docker Desktop for extensions and enterprise controls"],
		18	+ "prerequisites": ["Mac running macOS 14.0 or newer"],
		19	+ "audiences": ["Developers on macOS", "Teams standardizing on Apple Silicon laptops"],
		20	+ "alternatives": ["docker", "podman"],
		21	+ "comparison_notes": "Docker Desktop is the vendor-supported reference on macOS with broader enterprise features; Podman with podman machine is the fully open-source route. OrbStack sits between them: proprietary, macOS-specific, and oriented toward efficiency on Apple hardware.",
		22	+ "categories": [{ "slug": "containers-virtualization", "primary": true }, { "slug": "macos-utilities" }],
		23	+ "tags": ["containers", "macos", "apple-silicon", "virtual-machines", "kubernetes"],
		24	+ "use_cases": ["reproduce-environments", "host-web-apps"],
		25	+ "operating_systems": ["macos"],
		26	+ "execution_modes": ["local"],
		27	+ "interfaces": ["desktop", "cli"],
		28	+ "deployment_models": ["desktop"],
		29	+ "integrations": ["Docker CLI", "Docker Compose", "Kubernetes", "Visual Studio Code"],
		30	+ "data_formats": ["OCI image", "Compose YAML"],
		31	+ "languages": [],
		32	+ "source_model": "proprietary",
		33	+ "pricing_model": ["freemium", "paid", "enterprise"],
		34	+ "pricing_checked_at": "2026-11-02",
		35	+ "self_hostable": false,
		36	+ "sources": [
		37	+ { "url": "https://orbstack.dev/", "type": "official_site", "title": "OrbStack · Fast, light, simple Docker & Linux on macOS", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://docs.orbstack.dev/faq", "type": "official_docs", "title": "OrbStack FAQ", "supports": ["prerequisites", "operating_systems", "capabilities"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://orbstack.dev/pricing", "type": "pricing_page", "title": "OrbStack Pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "discovery_method": "editorial-research",
		43	+ "depth": "standard",
		44	+ "editorial_status": "reviewed",
		45	+ "visibility": "public",
		46	+ "featured": false,
		47	+ "author": "batch-B2"
		48	+}

added content/tools/orcid.json +49 −0

				@@ -0,0 +1,49 @@
		1	+{
		2	+ "slug": "orcid",
		3	+ "name": "ORCID",
		4	+ "aliases": ["ORCID iD", "Open Researcher and Contributor ID"],
		5	+ "vendor": { "name": "ORCID, Inc.", "slug": "orcid", "website": "https://info.orcid.org" },
		6	+ "homepage_url": "https://orcid.org/",
		7	+ "docs_url": "https://info.orcid.org/documentation/",
		8	+ "repo_url": "https://github.com/ORCID/ORCID-Source",
		9	+ "product_type": "service",
		10	+ "product_status": "active",
		11	+ "summary": "Non-profit registry of persistent researcher identifiers (ORCID iDs) with user-controlled records, Public and Member APIs, OAuth sign-in and an annual CC0 public data file",
		12	+ "description": "ORCID is a non-profit organization that issues persistent identifiers for researchers and maintains the records linked to them. An ORCID iD distinguishes a researcher from others with similar names and travels with them across employers, funders and publishers; the record lists works, affiliations, funding and peer-review activity, with privacy settings controlled by the researcher and \"trust markers\" indicating which items were asserted by member organizations. Registration and record maintenance are free for individuals; the organization is funded by fees from member institutions, publishers and funders.\n\nIntegrations use two APIs. The Public API, available to anyone after registering client credentials, supports OAuth sign-in with ORCID, collection of authenticated iDs and reading and searching public record data in XML or JSON, with a sandbox for testing. The Member API, for fee-paying members, adds the ability to write to records with the researcher's permission and comes with integration support. An annual public data file of all public record content is released under a CC0 waiver. ORCID does not verify the claims in records (members' assertions provide the trust layer), and the registry contains many sparsely populated or duplicate records, so it is an identifier rather than a bibliometric source.",
		13	+ "capabilities": ["Persistent researcher identifiers with self-maintained records", "Privacy controls and trust markers for member-asserted data", "OAuth sign-in with ORCID", "Public API for reading and searching public data", "Member API for writing to records with permission", "Annual CC0 public data file", "Sandbox environment for integrations"],
		14	+ "workflows": ["Adding ORCID login to a journal or repository system", "Disambiguating authors in a bibliometric dataset", "Auto-updating a researcher's works from Crossref and DataCite"],
		15	+ "advantages": ["Free for researchers and widely required by publishers and funders", "Open APIs and CC0 data file", "Non-profit governance"],
		16	+ "limitations": ["Record contents are self-reported unless member-asserted", "Many sparse or duplicate records", "Write access requires paid membership"],
		17	+ "prerequisites": ["Free ORCID account; client credentials for API use"],
		18	+ "audiences": ["Researchers", "Publishers, funders and institutions integrating identity", "Scientometricians"],
		19	+ "alternatives": ["openalex", "crossref", "zenodo", "google-scholar"],
		20	+ "comparison_notes": "OpenAlex builds its own author entities and links them to ORCID iDs; Crossref registers DOIs for works and carries ORCID iDs in metadata; Google Scholar profiles are a proprietary alternative identity layer without an API. ORCID is the neutral identifier the others reference.",
		21	+ "categories": [{ "slug": "research-dissemination", "primary": true }],
		22	+ "tags": ["identifiers", "api", "open-data", "oauth"],
		23	+ "use_cases": ["write-papers", "collaborate"],
		24	+ "operating_systems": ["web"],
		25	+ "execution_modes": ["cloud"],
		26	+ "interfaces": ["web", "api"],
		27	+ "deployment_models": ["saas"],
		28	+ "integrations": ["Crossref", "DataCite", "Zenodo", "Overleaf", "publisher submission systems"],
		29	+ "data_formats": ["XML", "JSON", "Public data file (XML/JSON)"],
		30	+ "languages": [],
		31	+ "source_model": "open-source",
		32	+ "pricing_model": ["free", "enterprise"],
		33	+ "self_hostable": false,
		34	+ "sources": [
		35	+ { "url": "https://orcid.org/", "type": "official_site", "title": "ORCID", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		36	+ { "url": "https://info.orcid.org/what-is-orcid/", "type": "official_docs", "title": "About ORCID", "supports": ["description", "pricing_model", "vendor", "capabilities"], "checked_at": "2026-11-02", "note": "Non-profit; free for researchers; member fees; CC0 public data file" },
		37	+ { "url": "https://info.orcid.org/what-is-orcid/services/public-api/", "type": "official_docs", "title": "Public API - ORCID", "supports": ["capabilities", "interfaces"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://info.orcid.org/documentation/", "type": "official_docs", "title": "ORCID Documentation", "supports": ["docs_url"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://github.com/ORCID/ORCID-Source", "type": "repository", "title": "ORCID/ORCID-Source", "supports": ["repo_url", "source_model"], "checked_at": "2026-11-02" }
		40	+ ],
		41	+ "confidence": "high",
		42	+ "uncertainty_note": "'enterprise' pricing model denotes organizational membership fees; no SPDX identifier recorded because the repository's LICENSE.md could not be retrieved in raw form.",
		43	+ "discovery_method": "editorial-research",
		44	+ "depth": "standard",
		45	+ "editorial_status": "reviewed",
		46	+ "visibility": "public",
		47	+ "featured": false,
		48	+ "author": "batch-E"
		49	+}

added content/tools/osf.json +51 −0

				@@ -0,0 +1,51 @@
		1	+{
		2	+ "slug": "osf",
		3	+ "name": "OSF (Open Science Framework)",
		4	+ "aliases": ["Open Science Framework", "osf.io"],
		5	+ "vendor": { "name": "Center for Open Science", "slug": "cos", "website": "https://www.cos.io" },
		6	+ "homepage_url": "https://osf.io/",
		7	+ "docs_url": "https://help.osf.io/",
		8	+ "repo_url": "https://github.com/CenterForOpenScience/osf.io",
		9	+ "license_url": "https://github.com/CenterForOpenScience/osf.io/blob/develop/LICENSE",
		10	+ "product_type": "platform",
		11	+ "product_status": "active",
		12	+ "summary": "Free, open-source research management platform from the Center for Open Science for projects, preregistrations, registries, preprint services and linking outputs across storage providers",
		13	+ "description": "OSF is a free, open-source platform operated by the non-profit Center for Open Science to document and share research across its lifecycle. Projects and components hold files, wikis and contributors with private-by-default visibility and fine-grained public sharing; registrations create time-stamped, read-only snapshots used for preregistration of hypotheses and analysis plans, optionally embargoed; community-run preprint services (such as SocArXiv and PsyArXiv) operate on the platform; and OSF Institutions gives universities branded views of their researchers' public work. Files are versioned automatically and projects can link to materials held in GitHub, Dropbox, Google Drive, Box, OneDrive, Amazon S3, figshare, Dataverse and similar services through add-ons, and to repositories such as Zenodo and Dryad.\n\nA JSON:API-style REST API (v2) with personal access tokens or OAuth exposes nodes, registrations, preprints, files and users. The codebase is Apache-2.0 on GitHub. The Center for Open Science publishes a roadmap that shifts OSF toward registering plans and linking outputs rather than acting as the primary file store, and public registrations are backed up to the Internet Archive. Storage on OSF itself is capped per project, the service depends on grant and donor funding, and the platform is more popular in psychology and the social sciences than in economics or finance.",
		14	+ "capabilities": ["Projects and components with private or public visibility", "Preregistrations and registrations with embargo", "Community preprint services", "File versioning and storage add-ons (GitHub, Dropbox, Google Drive, S3, Dataverse)", "DOIs for public projects and registrations", "OSF Institutions views", "REST API v2 with tokens and OAuth"],
		15	+ "workflows": ["Preregistering a study before data collection", "Organizing a project's materials, code and data with linked storage", "Posting to a community preprint server"],
		16	+ "advantages": ["Free and open source (Apache-2.0)", "Preregistration templates developed with research communities", "Links to existing storage rather than forcing migration"],
		17	+ "limitations": ["Per-project storage caps on OSF Storage", "Funding-dependent non-profit service", "Less used in economics and finance than Zenodo or SSRN"],
		18	+ "prerequisites": ["Free account (ORCID or institutional login supported)"],
		19	+ "audiences": ["Researchers preregistering studies", "Labs managing shared project materials", "Institutions promoting open science"],
		20	+ "alternatives": ["zenodo", "github", "ssrn", "arxiv"],
		21	+ "comparison_notes": "Zenodo is primarily an archive that mints DOIs for files and software releases; GitHub is a code host without preservation guarantees; SSRN and arXiv are preprint servers. OSF is distinctive for preregistration and project-level organization linking those services together.",
		22	+ "categories": [{ "slug": "reproducibility", "primary": true }, { "slug": "research-dissemination" }],
		23	+ "tags": ["open-science", "preregistration", "open-source", "api", "reproducibility"],
		24	+ "use_cases": ["write-papers", "collaborate", "back-up-data"],
		25	+ "operating_systems": ["web"],
		26	+ "execution_modes": ["cloud", "self-hosted"],
		27	+ "interfaces": ["web", "api"],
		28	+ "deployment_models": ["saas"],
		29	+ "integrations": ["GitHub", "Dropbox", "Google Drive", "Box", "OneDrive", "Amazon S3", "figshare", "Dataverse", "Zenodo", "Zotero", "Mendeley", "ORCID"],
		30	+ "data_formats": ["Any file type", "JSON:API"],
		31	+ "languages": ["Python", "JavaScript"],
		32	+ "source_model": "open-source",
		33	+ "license_spdx": "Apache-2.0",
		34	+ "pricing_model": ["free"],
		35	+ "self_hostable": true,
		36	+ "sources": [
		37	+ { "url": "https://osf.io/", "type": "official_site", "title": "OSF", "supports": ["name", "summary", "pricing_model"], "checked_at": "2026-11-02" },
		38	+ { "url": "https://www.cos.io/products/osf", "type": "official_site", "title": "The Open Science Framework – Center for Open Science", "supports": ["description", "capabilities", "vendor"], "checked_at": "2026-11-02" },
		39	+ { "url": "https://help.osf.io/", "type": "official_docs", "title": "OSF Support", "supports": ["docs_url", "capabilities"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://developer.osf.io/", "type": "official_docs", "title": "OSF APIv2 Documentation", "supports": ["interfaces"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://github.com/CenterForOpenScience/osf.io/blob/develop/LICENSE", "type": "license_page", "title": "osf.io LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		42	+ ],
		43	+ "confidence": "high",
		44	+ "uncertainty_note": "Storage add-on list combines the cos.io product page with the help-center categories; individual add-on availability should be confirmed in the OSF add-ons documentation.",
		45	+ "discovery_method": "editorial-research",
		46	+ "depth": "standard",
		47	+ "editorial_status": "reviewed",
		48	+ "visibility": "public",
		49	+ "featured": false,
		50	+ "author": "batch-E"
		51	+}

added content/tools/overleaf.json +53 −0

				@@ -0,0 +1,53 @@
		1	+{
		2	+ "slug": "overleaf",
		3	+ "name": "Overleaf",
		4	+ "aliases": ["ShareLaTeX", "Overleaf Community Edition", "Overleaf Server Pro"],
		5	+ "vendor": { "name": "Overleaf (Digital Science)", "slug": "overleaf", "website": "https://www.overleaf.com" },
		6	+ "homepage_url": "https://www.overleaf.com/",
		7	+ "docs_url": "https://www.overleaf.com/learn",
		8	+ "repo_url": "https://github.com/overleaf/overleaf",
		9	+ "pricing_url": "https://www.overleaf.com/user/subscription/plans",
		10	+ "license_url": "https://github.com/overleaf/overleaf/blob/main/LICENSE",
		11	+ "product_type": "platform",
		12	+ "product_status": "active",
		13	+ "summary": "Collaborative online LaTeX editor with real-time co-editing, templates and reference-manager sync, available as a hosted service and an AGPL self-hosted edition",
		14	+ "description": "Overleaf is a browser-based LaTeX editor and compiler operated by Digital Science. Users write in a code or visual editor, compile against a hosted TeX Live, and collaborate in real time with comments and track changes; the platform offers a large template gallery, a symbol palette and an AI assistant. Free accounts allow unlimited projects with one collaborator per project and a short document history, while Student, Standard and Pro plans add more collaborators, full history and restore, longer compile timeouts, track changes and integrations with Git, GitHub, Dropbox, Zotero and Mendeley. Group and organizational licences add single sign-on, user administration and, for large buyers, on-premises hosting.\n\nThe server software is published under the AGPL-3.0 as Overleaf Community Edition, installed through the Overleaf Toolkit with Docker. The community image compiles without sandboxing, so the maintainers recommend it only where all users are trusted; the commercial Server Pro edition adds sandboxed compiles, LDAP/SAML single sign-on, administration tools and tracked changes, and comes with support.\n\nOverleaf is the default choice for co-authored LaTeX papers because collaborators need no local TeX installation and journals publish templates there. Limits are the compile-time ceilings on cheaper plans, the fact that large projects compile more slowly than locally, dependence on an internet connection, and the collaborator restrictions of the free tier. Users who want local editing can keep a Git mirror of a project and compile with their own TeX Live.",
		15	+ "capabilities": ["Real-time collaborative LaTeX editing in the browser", "Hosted TeX Live compilation with PDF preview", "Rich text (visual) editor alongside code editor", "Track changes, comments and document history", "Git, GitHub, Dropbox, Zotero and Mendeley sync", "Template gallery including journal and thesis templates", "Self-hosted Community Edition (AGPL) and Server Pro", "Group, institutional and on-premises licensing with SSO"],
		16	+ "workflows": ["Co-authoring a journal submission from its official template", "Keeping a Git clone of an Overleaf project for local builds", "Running a Community Edition instance for a trusted lab", "Syncing a Zotero library into the project bibliography"],
		17	+ "advantages": ["No local TeX installation needed for collaborators", "Open-source server edition for self-hosting", "Widely used journal templates", "Integrates with major reference managers"],
		18	+ "limitations": ["Free plan limited to one collaborator and short history", "Compile timeout and speed depend on plan", "Community Edition compiles are not sandboxed", "Requires a network connection; offline editing only via Git"],
		19	+ "prerequisites": ["Web browser; Docker host for self-hosting"],
		20	+ "audiences": ["Academic co-authors", "Students writing theses", "Institutions providing LaTeX to many users"],
		21	+ "alternatives": ["tex-live", "texstudio", "typst", "zotero"],
		22	+ "comparison_notes": "TeX Live with TeXstudio gives the same compiler locally without collaboration features; Typst's web app offers comparable real-time collaboration for a different, non-TeX markup. Overleaf's distinguishing assets are the hosted compile service, templates and the AGPL server edition.",
		23	+ "categories": [{ "slug": "latex-typesetting", "primary": true }, { "slug": "academic-writing" }],
		24	+ "tags": ["latex", "collaboration", "self-hosted", "open-source", "typesetting"],
		25	+ "use_cases": ["write-papers", "typeset-documents", "collaborate"],
		26	+ "operating_systems": ["web"],
		27	+ "execution_modes": ["cloud", "self-hosted"],
		28	+ "interfaces": ["web"],
		29	+ "deployment_models": ["saas", "on-premises"],
		30	+ "integrations": ["Git", "GitHub", "Dropbox", "Zotero", "Mendeley", "TeX Live", "Docker"],
		31	+ "data_formats": ["LaTeX", "BibTeX", "PDF", "ZIP"],
		32	+ "languages": ["JavaScript", "TeX"],
		33	+ "source_model": "open-source",
		34	+ "license_spdx": "AGPL-3.0-only",
		35	+ "pricing_model": ["freemium", "paid", "enterprise", "academic", "open-source"],
		36	+ "pricing_checked_at": "2026-11-02",
		37	+ "self_hostable": true,
		38	+ "sources": [
		39	+ { "url": "https://www.overleaf.com/", "type": "official_site", "title": "Overleaf, Online LaTeX Editor", "supports": ["name", "summary"], "checked_at": "2026-11-02" },
		40	+ { "url": "https://www.overleaf.com/user/subscription/plans", "type": "pricing_page", "title": "Plans and Pricing - Overleaf", "supports": ["pricing_model", "capabilities", "limitations", "vendor"], "checked_at": "2026-11-02" },
		41	+ { "url": "https://www.overleaf.com/learn", "type": "official_docs", "title": "Learn LaTeX - Overleaf", "supports": ["docs_url"], "checked_at": "2026-11-02" },
		42	+ { "url": "https://github.com/overleaf/overleaf", "type": "repository", "title": "overleaf/overleaf", "supports": ["self_hostable", "limitations", "description"], "checked_at": "2026-11-02" },
		43	+ { "url": "https://github.com/overleaf/overleaf/blob/main/LICENSE", "type": "license_page", "title": "overleaf/overleaf LICENSE", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }
		44	+ ],
		45	+ "confidence": "high",
		46	+ "uncertainty_note": "Server Pro is proprietary; license_spdx applies to the Community Edition repository. Digital Science ownership is inferred from the plans page footer.",
		47	+ "discovery_method": "editorial-research",
		48	+ "depth": "deep",
		49	+ "editorial_status": "reviewed",
		50	+ "visibility": "public",
		51	+ "featured": false,
		52	+ "author": "batch-E"
		53	+}

added content/tools/overpass-api.json +35 −0

				@@ -0,0 +1,160 @@
		1	+{
		2	+ "slug": "overpass-api",
		3	+ "name": "Overpass API",
		4	+ "aliases": [
		5	+ "Overpass QL",
		6	+ "Overpass turbo"
		7	+ ],
		8	+ "vendor": {
		9	+ "name": "Roland Olbricht and the OpenStreetMap community",
		10	+ "slug": "overpass-api",
		11	+ "website": "https://overpass-api.de"
		12	+ },
		13	+ "homepage_url": "https://overpass-api.de/",
		14	+ "docs_url": "https://wiki.openstreetmap.org/wiki/Overpass_API",
		15	+ "repo_url": "https://github.com/drolbr/Overpass-API",
		16	+ "license_url": "https://github.com/drolbr/Overpass-API/blob/master/COPYING",
		17	+ "product_type": "api-service",
		18	+ "product_status": "active",
		19	+ "summary": "Read-only query service for OpenStreetMap data using the Overpass QL language, available on public instances or self-hosted",
		20	+ "description": "Overpass API is a read-only query engine for OpenStreetMap data written by Roland Olbricht and maintained with the OSM community. Clients send a query in Overpass QL (or an XML form) describing tags, areas, bounding boxes and relationships, and receive matching nodes, ways and relations as JSON or XML, optionally with geometry. Public instances such as overpass-api.de are updated within minutes of OSM edits and are free to use under fair-use limits, while the Overpass turbo web front end helps compose and visualise queries. The server software is AGPL-licensed and can be installed on your own hardware from planet extracts for unrestricted throughput. Query cost grows quickly with area and tag complexity, public servers apply timeouts and rate limits, and results carry the ODbL obligations of OSM data.",
		21	+ "capabilities": [
		22	+ "Filter OSM objects by tag, bounding box, area or proximity",
		23	+ "Recursion over relations and ways to assemble full geometries",
		24	+ "JSON and XML output with optional geometry",
		25	+ "Minute-level freshness on public instances",
		26	+ "Self-hostable server from planet files",
		27	+ "Overpass turbo for interactive query building"
		28	+ ],
		29	+ "workflows": [
		30	+ "Fetch all amenities within a radius of each property in a sample",
		31	+ "Download building footprints for a municipality into GeoPandas"
		32	+ ],
		33	+ "advantages": [
		34	+ "Free public access with current data",
		35	+ "Expressive query language",

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