Collaborative GIS editing in JupyterLab
summary
JupyterGIS claims live collaborative editing of GIS files inside JupyterLab, including supports QGIS project import/export, with a programmatic Python API that acts like another collaborator. The UI handles raster and vector layers, cloud‑optimized GeoTIFFs, styling and time sliders, and a STAC/catalog browser integrated with the Pangeo/xarray stack. Collaboration uses CRDTs (Yjs) for real‑time sync, projects embed data and export, demos run in JupyterLite and GitHub Pages, and story maps plus R integration remain ongoing work.
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chapters (18)
- 0:00Collaborative GIS and CAD in JupyterLab
- 1:11Traditional GIS and CAD pain points
- 3:21Jupyter CAD features
- 4:04Live demo: Jupyter CAD 3D modeling
- 8:03Collaborative editing in Jupyter CAD
- 9:56File formats and extensibility in Jupyter CAD
- 10:59Jupyter CAD MCP with LLMs
- 12:06Jupyter GIS capabilities
- 12:49Live demo: Jupyter GIS collaboration
- 13:32Styling and visualization in Jupyter GIS
- 15:40Advanced Jupyter GIS features
- 17:26Python API and processing in Jupyter GIS
- 18:52Stack browser and TTERR extension
- 19:57Jupyter CAD/GIS architecture
- 20:39JupyterLite deployment benefits
- 21:42Use cases and community
- 22:26Jupyter GIS roadmap
- 23:33Q&A
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