Snapshot 2026-08-03 23:56:39 UTC · version 1
A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
It also ships 1,000+ geoprocessing tools that run entirely in your browser on WebAssembly — terrain, hydrology, LiDAR, remote sensing, and vector analysis with no server, no install, and no data ever leaving your machine.
GeoLibre is built with Tauri v2, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl. The same workspace runs as a native desktop app, a native Android app, in any modern web browser, and adapts responsively to mobile and small screens.
Click any screenshot to open it at full resolution, or any animation to play the full-quality video.
Manhattan building footprints extruded in 3D and colored by construction era, with the MTA subway lines and stations on top and a legend generated automatically from the layers' symbology.
The animation below runs the Time Slider along the buildings' construction year, from 1850 to 2025, so Manhattan fills in era by era. Click it to play the full-quality video.
GeoLibre is not limited to Earth. Planetary basemaps from OpenPlanetaryMap and USGS Astrogeology cover the Moon, Mars, Mercury, Venus, the Galilean moons (Io, Europa, Ganymede, Callisto), Titan, Pluto, and Charon, with a per-project ellipsoid so distance, area, and scale measurements match the body you are mapping. The deep-space starfield behind each globe comes from the Atmosphere Effects plugin.
| Earth | Moon | Mars |
| Mercury | Pluto | Venus |
| Europa | Callisto | Charon |
Switch bodies from the planet switcher in the Layers panel. See Demos for more.
Processing → Whitebox opens a toolbox of 1,000+ geoprocessing tools that execute in the browser through a WebAssembly runtime with native raster and vector I/O. There is no Python sidecar to install and no server to call — the tools, your data, and the results all stay on your machine, so the full toolbox is available on GeoLibre Web, on the desktop app, and on Android alike.
The tools come from the Whitebox Next Gen suite plus GeoLibre's own WASM tools, and are browsable by category straight from the Processing menu:
| Category | Tools | Examples |
|---|---|---|
| Vector | 280 | overlays, buffers, joins, cleaning, topology, generalization |
| Raster | 232 | algebra, filters, reclassification, zonal and focal statistics |
| Remote sensing | 154 | spectral indices, band math, classification, change detection |
| Hydrology | 100 | flow accumulation, watersheds, stream networks, depression filling |
| Terrain | 99 | slope, aspect, hillshade, curvature, ruggedness, viewsheds |
| LiDAR | 65 | point-cloud filtering, ground classification, DEM/DSM generation |
| Conversion | 49 | format translation to cloud-native GeoParquet, PMTiles, and COG |
| Network | 26 | connectivity, cost distance, and routing analysis |
| Projection | 4 | reprojection for raster and vector data |
Any tool is deep-linkable with a ?tool= URL parameter that preselects it and
pre-fills its form. See the Processing Tools guide
for details, and Geoprocessing in the Browser for
a video walkthrough.
Full documentation, including the User Guide and Tutorials, is published at geolibre.app.
Contributions are welcome. See the Contributing guide for the development setup, repository layout, and quality gate.
GeoLibre is built on the free and open-source geospatial and web communities — including MapLibre GL JS, deck.gl, DuckDB-WASM Spatial, Turf.js, Tauri, React, and many more. See the full Acknowledgements page for the complete list of projects and community contributors.
If you use GeoLibre in your work, please cite it. GeoLibre is archived on Zenodo, which mints a DOI for every release. The concept DOI below always resolves to the latest version.
Wu, Q. (2026). GeoLibre: A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. Zenodo. https://doi.org/10.5281/zenodo.20785400
You can also use GitHub's "Cite this repository" button (which reads CITATION.cff) to copy a ready-made APA or BibTeX entry. See the How to Cite page for more formats.
Sign in to join the discussion.
Snapshot 2026-08-03 23:56:39 UTC · version 1
A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
It also ships 1,000+ geoprocessing tools that run entirely in your browser on WebAssembly — terrain, hydrology, LiDAR, remote sensing, and vector analysis with no server, no install, and no data ever leaving your machine.
GeoLibre is built with Tauri v2, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl. The same workspace runs as a native desktop app, a native Android app, in any modern web browser, and adapts responsively to mobile and small screens.
Click any screenshot to open it at full resolution, or any animation to play the full-quality video.
Manhattan building footprints extruded in 3D and colored by construction era, with the MTA subway lines and stations on top and a legend generated automatically from the layers' symbology.
The animation below runs the Time Slider along the buildings' construction year, from 1850 to 2025, so Manhattan fills in era by era. Click it to play the full-quality video.
GeoLibre is not limited to Earth. Planetary basemaps from OpenPlanetaryMap and USGS Astrogeology cover the Moon, Mars, Mercury, Venus, the Galilean moons (Io, Europa, Ganymede, Callisto), Titan, Pluto, and Charon, with a per-project ellipsoid so distance, area, and scale measurements match the body you are mapping. The deep-space starfield behind each globe comes from the Atmosphere Effects plugin.
| Earth | Moon | Mars |
| Mercury | Pluto | Venus |
| Europa | Callisto | Charon |
Switch bodies from the planet switcher in the Layers panel. See Demos for more.
Processing → Whitebox opens a toolbox of 1,000+ geoprocessing tools that execute in the browser through a WebAssembly runtime with native raster and vector I/O. There is no Python sidecar to install and no server to call — the tools, your data, and the results all stay on your machine, so the full toolbox is available on GeoLibre Web, on the desktop app, and on Android alike.
The tools come from the Whitebox Next Gen suite plus GeoLibre's own WASM tools, and are browsable by category straight from the Processing menu:
| Category | Tools | Examples |
|---|---|---|
| Vector | 280 | overlays, buffers, joins, cleaning, topology, generalization |
| Raster | 232 | algebra, filters, reclassification, zonal and focal statistics |
| Remote sensing | 154 | spectral indices, band math, classification, change detection |
| Hydrology | 100 | flow accumulation, watersheds, stream networks, depression filling |
| Terrain | 99 | slope, aspect, hillshade, curvature, ruggedness, viewsheds |
| LiDAR | 65 | point-cloud filtering, ground classification, DEM/DSM generation |
| Conversion | 49 | format translation to cloud-native GeoParquet, PMTiles, and COG |
| Network | 26 | connectivity, cost distance, and routing analysis |
| Projection | 4 | reprojection for raster and vector data |
Any tool is deep-linkable with a ?tool= URL parameter that preselects it and
pre-fills its form. See the Processing Tools guide
for details, and Geoprocessing in the Browser for
a video walkthrough.
Full documentation, including the User Guide and Tutorials, is published at geolibre.app.
Contributions are welcome. See the Contributing guide for the development setup, repository layout, and quality gate.
GeoLibre is built on the free and open-source geospatial and web communities — including MapLibre GL JS, deck.gl, DuckDB-WASM Spatial, Turf.js, Tauri, React, and many more. See the full Acknowledgements page for the complete list of projects and community contributors.
If you use GeoLibre in your work, please cite it. GeoLibre is archived on Zenodo, which mints a DOI for every release. The concept DOI below always resolves to the latest version.
Wu, Q. (2026). GeoLibre: A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. Zenodo. https://doi.org/10.5281/zenodo.20785400
You can also use GitHub's "Cite this repository" button (which reads CITATION.cff) to copy a ready-made APA or BibTeX entry. See the How to Cite page for more formats.
Sign in to join the discussion.