spb/tools-spboucher-ai

1{2  "slug": "weights-and-biases",3  "name": "Weights & Biases",4  "aliases": ["W&B", "wandb", "W&B Weave", "CoreWeave Forge (umbrella brand)"],5  "vendor": { "name": "CoreWeave", "slug": "coreweave", "website": "https://wandb.ai/site" },6  "homepage_url": "https://wandb.ai/site",7  "docs_url": "https://docs.coreweave.com/products/wandb",8  "repo_url": "https://github.com/wandb/wandb",9  "pricing_url": "https://coreweave.com/forge-pricing",10  "license_url": "https://github.com/wandb/wandb/blob/main/LICENSE",11  "product_type": "platform",12  "product_status": "active",13  "summary": "ML experiment tracking, sweeps, artifacts and model registry plus Weave for LLM tracing and evaluation, now sold by CoreWeave within its Forge platform with a free academic tier",14  "description": "Weights & Biases is a platform for tracking and comparing machine-learning work. The `wandb` Python SDK (MIT) logs metrics, configurations, gradients and media from training runs; Sweeps run hyperparameter searches; Artifacts and Registry version datasets and models; Tables and Reports provide interactive exploration and shareable dashboards. Weave extends the same account to LLM applications with traces, evaluations, a prompt playground and production monitors, and Serverless Inference exposes hosted open models. Integrations cover PyTorch, Keras, Hugging Face Transformers, Lightning and most training frameworks.\n\nAfter CoreWeave acquired the company, the product became part of CoreWeave Forge; documentation moved to docs.coreweave.com and pricing to coreweave.com, while the Weights & Biases name and SDK remain. Plans are Free, Pro, Enterprise and Academic; Enterprise adds SSO, audit logs, customer-managed keys and dedicated or private hosting, and the Academic plan is free for researchers at academic institutions. W&B is a sensible default for experiment tracking in research groups, with the caveats that the hosted service is proprietary, that free-tier storage is limited, and that the ownership change has shifted URLs and branding, so older links may redirect.",15  "capabilities": ["Experiment tracking of metrics, configs, gradients and media", "Sweeps for hyperparameter optimization", "Artifacts and Registry for dataset and model versioning", "Tables and Reports for exploration and sharing", "Weave: LLM traces, evaluations, playground and monitors", "Serverless Inference for hosted open models", "Integrations with PyTorch, Keras, Transformers and Lightning"],16  "workflows": ["Log a fine-tuning run and compare it against earlier experiments", "Run a sweep across learning rates and report results", "Trace and evaluate an LLM agent with Weave"],17  "advantages": ["Mature, widely adopted tracking SDK", "Free academic plan", "Experiment and LLM tooling under one account"],18  "limitations": ["Proprietary hosted platform; self-managed deployment only for Enterprise", "Free-tier storage and ingestion caps", "Branding and URLs in flux after the CoreWeave acquisition"],19  "prerequisites": ["W&B account and API key", "Python training code to instrument"],20  "audiences": ["ML researchers and students", "Teams training or fine-tuning models", "LLM application teams using Weave"],21  "alternatives": ["langfuse", "langsmith", "braintrust"],22  "categories": [{ "slug": "model-training", "primary": true }, { "slug": "llm-ops", "label": "Weave tracing and evaluation" }],23  "tags": ["experiment-tracking", "monitoring", "python", "llm", "evaluation", "academic"],24  "use_cases": ["fine-tune-models", "evaluate-llm-apps"],25  "operating_systems": ["web", "any"],26  "execution_modes": ["cloud", "self-hosted"],27  "interfaces": ["web", "sdk", "api", "cli"],28  "deployment_models": ["saas", "managed-cloud", "on-premises"],29  "integrations": ["PyTorch", "Keras", "Hugging Face Transformers", "PyTorch Lightning", "OpenAI", "Anthropic"],30  "data_formats": ["JSON", "Parquet (Tables)", "Images, audio, video (media logging)"],31  "languages": ["Python", "TypeScript (Weave)"],32  "source_model": "mixed",33  "license_spdx": "MIT",34  "pricing_model": ["freemium", "paid", "enterprise", "academic"],35  "pricing_checked_at": "2026-11-02",36  "self_hostable": true,37  "sources": [38    { "url": "https://wandb.ai/site", "type": "official_site", "title": "Weights & Biases", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02", "note": "States that Weights & Biases is now part of CoreWeave Forge" },39    { "url": "https://docs.coreweave.com/products/wandb", "type": "official_docs", "title": "Weights & Biases documentation (CoreWeave)", "supports": ["capabilities"], "checked_at": "2026-11-02", "note": "docs.wandb.ai redirects here" },40    { "url": "https://coreweave.com/forge-pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02", "note": "Free, Pro, Enterprise, Academic" },41    { "url": "https://github.com/wandb/wandb/blob/main/LICENSE", "type": "license_page", "title": "wandb SDK license (MIT)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }42  ],43  "confidence": "high",44  "uncertainty_note": "license_spdx applies to the open-source wandb SDK; the hosted platform is proprietary. The wandb.ai root now redirects to forge.coreweave.com, so wandb.ai/site is recorded as the homepage.",45  "discovery_method": "editorial-research",46  "depth": "standard",47  "editorial_status": "reviewed",48  "visibility": "public",49  "featured": false,50  "author": "batch-A"51}52