spb/tools-spboucher-ai
Public
1{2 "slug": "qgis",3 "name": "QGIS",4 "aliases": [5 "Quantum GIS"6 ],7 "vendor": {8 "name": "QGIS.org association",9 "slug": "qgis-org",10 "website": "https://qgis.org"11 },12 "homepage_url": "https://qgis.org/",13 "docs_url": "https://docs.qgis.org/latest/en/docs/",14 "repo_url": "https://github.com/qgis/QGIS",15 "license_url": "https://github.com/qgis/QGIS/blob/master/COPYING",16 "product_type": "application",17 "product_status": "active",18 "summary": "Open-source desktop GIS for viewing, editing, analysing and publishing vector and raster geodata, extensible with Python plugins",19 "description": "QGIS is a free and open-source desktop geographic information system maintained by the QGIS.org association and a large contributor community, and it is the reference open-source tool in the GIS and mapping category. It runs on macOS, Windows and Linux and opens hundreds of vector and raster formats through GDAL/OGR, connects to PostGIS, SpatiaLite, GeoPackage and web services (WMS, WFS, WMTS, XYZ tiles), and provides digitising, attribute editing, georeferencing, styling, labelling and print-layout composition.\n\nAnalysis runs through the Processing framework, which wraps native algorithms alongside GDAL, GRASS GIS, SAGA and other providers and chains them into graphical models or batch jobs. A Python console and PyQGIS API expose the whole application, and the plugin repository hosts thousands of community extensions for tasks from OpenStreetMap download to 3D visualisation. QGIS Server publishes projects as OGC web services, and QGIS Cloud-style hosts or Lizmap turn projects into web maps.\n\nIn property-valuation and urban-research work QGIS is typically where assessment rolls, cadastral layers, listings and census geographies are joined, inspected and mapped before statistics are run elsewhere; PostGIS often serves as the backing database. Releases arrive several times a year, with a long-term release line for stability.\n\nLimits are those of a desktop tool: very large datasets are better processed in a database or with command-line GDAL, multi-user editing requires a database backend, plugin quality varies, and the interface's breadth means a learning curve for newcomers. There is no vendor support contract unless bought from a commercial sustainer.",20 "capabilities": [21 "Read and write hundreds of vector and raster formats via GDAL/OGR",22 "Connections to PostGIS, SpatiaLite, GeoPackage and OGC web services",23 "Digitising, topology-aware editing and georeferencing",24 "Processing framework with GDAL, GRASS and SAGA algorithms and model builder",25 "PyQGIS Python API and plugin ecosystem",26 "Cartographic styling, labelling and print layouts",27 "QGIS Server for publishing OGC services"28 ],29 "workflows": [30 "Join a municipal assessment roll to cadastral polygons and symbolise values",31 "Build a repeatable geoprocessing model and run it in batch",32 "Design a print map from PostGIS layers"33 ],34 "advantages": [35 "Free, GPL-licensed and cross-platform",36 "Largest open-source GIS plugin ecosystem",37 "Interoperates with PostGIS, GDAL and Python stacks"38 ],39 "limitations": [40 "Desktop-bound; heavy processing belongs in a database or CLI",41 "Multi-user editing needs a database backend",42 "Plugin quality and maintenance vary",43 "Broad interface has a learning curve"44 ],45 "prerequisites": [46 "macOS, Windows or Linux desktop",47 "Python knowledge for PyQGIS automation (optional)"48 ],49 "audiences": [50 "GIS analysts and cartographers",51 "Urban, housing and environmental researchers",52 "Real estate analysts mapping parcels and comparables"53 ],54 "alternatives": [55 "postgis",56 "geopandas",57 "openstreetmap",58 "mapbox"59 ],60 "comparison_notes": "PostGIS stores and queries geodata in SQL and is often QGIS's backend; GeoPandas does scripted analysis in Python without a GUI. OpenStreetMap is a data source QGIS consumes, and Mapbox is a hosted web-map stack for publishing rather than desktop analysis.",61 "categories": [62 {63 "slug": "gis-mapping",64 "primary": true65 },66 {67 "slug": "real-estate-valuation",68 "label": "Parcel and comparables mapping"69 }70 ],71 "tags": [72 "gis",73 "desktop",74 "open-source",75 "python",76 "raster",77 "vector",78 "cartography"79 ],80 "use_cases": [81 "map-geodata",82 "value-real-estate"83 ],84 "operating_systems": [85 "macos",86 "windows",87 "linux"88 ],89 "execution_modes": [90 "local"91 ],92 "interfaces": [93 "desktop",94 "library"95 ],96 "deployment_models": [97 "desktop"98 ],99 "integrations": [100 "GDAL/OGR",101 "PostGIS",102 "GRASS GIS",103 "SAGA",104 "OpenStreetMap",105 "WMS/WFS/WMTS",106 "Python"107 ],108 "data_formats": [109 "Shapefile",110 "GeoPackage",111 "GeoJSON",112 "GeoTIFF",113 "KML",114 "CSV",115 "DXF",116 "FGDB"117 ],118 "languages": [119 "C++",120 "Python"121 ],122 "source_model": "open-source",123 "license_spdx": "GPL-2.0-or-later",124 "pricing_model": [125 "open-source",126 "free"127 ],128 "self_hostable": true,129 "sources": [130 {131 "url": "https://qgis.org/",132 "type": "official_site",133 "supports": [134 "name",135 "summary",136 "product_type"137 ],138 "checked_at": "2026-11-02",139 "title": "QGIS — Spatial without Compromise"140 },141 {142 "url": "https://docs.qgis.org/latest/en/docs/",143 "type": "official_docs",144 "supports": [145 "capabilities",146 "data_formats",147 "integrations"148 ],149 "checked_at": "2026-11-02",150 "title": "QGIS Documentation"151 },152 {153 "url": "https://github.com/qgis/QGIS/blob/master/COPYING",154 "type": "license_page",155 "supports": [156 "license_spdx",157 "source_model"158 ],159 "checked_at": "2026-11-02",160 "title": "QGIS COPYING (GPL v2)"161 },162 {163 "url": "https://plugins.qgis.org/",164 "type": "official_site",165 "supports": [166 "capabilities"167 ],168 "checked_at": "2026-11-02",169 "title": "QGIS Python Plugins Repository"170 }171 ],172 "confidence": "high",173 "depth": "deep",174 "featured": true,175 "discovery_method": "editorial-research",176 "editorial_status": "reviewed",177 "visibility": "public",178 "author": "batch-F"179}180