JupyterGIS#

JupyterGIS is an in-browser, collaborative Geographical Information System (GIS). It is built on top of Project Jupyter but independently useable. As flagship project of the open GeoJupyter community it aims to enable organizations, researchers, students, anyone interested to easily explore, use and work with geospatial data. We’d love to hear from you at a community meeting!

Try with JupyterLite

Note

Backend-free JupyterGIS via JupyterLite runs entirely in the browser and does not support real-time collaboration.

Highlights#

  • Real-time collaboration — like Google Docs or Miro for GIS, with spatial annotations and comments

  • QGIS interoperability — import and export QGIS project files

  • Python API — scriptable workflows in collaborative notebooks

  • Many data formats — GeoJSON, GeoTIFF/COG, GeoParquet, GeoPackage, Shapefile, PMTiles, WMS/WMTS, and more

  • Grammar-driven symbology — flexible rule-based styling, similar to Vega-Lite

  • Storymaps — guided narratives through your maps

  • Hillshade & heatmaps — terrain and density visualization

  • GDAL processing — rasterize, warp, and translate directly in the browser or on the server

  • STAC & OpenEO — cloud-native data catalog and processing support

  • Pangeo integration — dynamic raster tile serving via TiTiler backed by the Pangeo stack

  • Identify tool — click features to inspect their properties

  • Layer gallery — pre-built layer catalog for quick setup

  • Embeddable — use as a standalone map, an IDE, or from within a notebook

  • AI skills — integration with Jupyter & JupyterLite-AI. Map operations in natural language

JupyterGIS application

For more details, check out About JupyterGIS.

Documentation