# opengeos/GeoLibre

A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

Repository: https://github.com/opengeos/GeoLibre
Canonical: https://ross.abutalabs.com/products/geolibre
Homepage: https://geolibre.app
Language: TypeScript
License: MIT
License Family: permissive
Topics: data-science, geospatial, maplibre, maplibre-gl-js, tauri-app, duckdb, geolibre, gis
Last push: 2026-08-26T16:08:57+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 7
- inputs: {"age_days": 98, "days_push": 7, "days_rel": 11, "gap_med": 2, "n_releases_24m": 28}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6772, forks 676 (observed 2026-08-28T04:09:48.396735+00:00)

## What it is
GeoLibre is a free, open-source, lightweight cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. Built with Tauri, React, MapLibre GL JS, and DuckDB-WASM Spatial, it runs in the browser, on desktop and mobile, and inside Jupyter notebooks, with 1,000+ geoprocessing tools executing client-side via WebAssembly.

## Use cases
- visualize geospatial vector and raster data on an interactive map
- analyze LiDAR point clouds and terrain in the browser
- load cloud-optimized geotiffs and STAC catalogs like Planetary Computer
- edit and style map layers and export to GeoJSON, GeoParquet, or GeoPackage
- run geoprocessing tools like hydrology and remote sensing analysis locally without a server
- embed interactive maps in Jupyter notebooks with Python
- capture GPS field observations with custom forms
- connect to WMS, WFS, XYZ tiles, and Overture Maps data

## When to choose
- you need a free, lightweight QGIS alternative that runs entirely client-side
- you want your geospatial data to stay local and private with no server processing
- you need one GIS tool across web, desktop, mobile, and notebooks
- you work with cloud-native formats like COG, PMTiles, GeoParquet, and STAC
- you want browser-based geoprocessing without installing heavy GIS software

## When to avoid
- you need advanced desktop-GIS features like full PostGIS topology editing or print layouts
- you require server-side heavy batch geoprocessing on very large datasets
- you depend on ArcGIS-specific proprietary tooling or extensions
- you need the sandboxed Mac App Store build's excluded features like Python sidecars or external plugins

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, geospatial, image-processing, plugin-system, developer-tools
- domain: data-visualization, data-science, cross-platform
- platform: cross-platform, browser, windows, wasm, python
- tags: gis, maplibre, tauri, duckdb, geoprocessing, remote-sensing, lidar, jupyter, cloud-native-gis, qgis-alternative, geospatial, maps, web-server, desktop, mobile, macos, linux, android, ios

## Member repositories
- opengeos/GeoLibre (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:48.396735+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:42:24.672774+00:00, confidence not recorded.
  - readme: https://github.com/opengeos/GeoLibre (fetched 2026-08-28T04:09:48.396735+00:00, sha f15578300582)
  - homepage: https://geolibre.app (fetched 2026-08-29T08:38:50.602728+00:00, sha 922216626c3f)
  - site_page: https://geolibre.app/getting-started (fetched 2026-08-29T08:38:50.665716+00:00, sha 02a63712fea7)
  - site_page: https://geolibre.app/features (fetched 2026-08-29T08:38:50.699884+00:00, sha 6a0fd493b584)
  - site_page: https://geolibre.app/user-guide/data-integrations (fetched 2026-08-29T08:38:50.732164+00:00, sha 09d41c6e28d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.