GeoLibre 1.0: A Free, Open-Source Cloud-Native GIS That Runs Anywhere (Browser, Desktop & Jupyter)

GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. In this video, I walk through GeoLibre 1.0 step by step: how to install and run it, load vector and raster data, stream gigabyte-scale cloud-native datasets without downloading them, edit attributes and geometry, work with PMTiles, 3D tiles, LiDAR point clouds, and DuckDB, and share your projects as static links. GeoLibre is built on MapLibre GL JS, React + TypeScript, Tauri (Rust), DuckDB, and deck.gl. 🌐 Try it: https://geolibre.app ⭐ GitHub: https://github.com/opengeos/GeoLibre If you have feature requests or run into bugs, leave a comment or open an issue on GitHub. And if you find GeoLibre useful, please give it a star. ⏱️ Chapters 00:00 Introduction: what is GeoLibre 01:30 Three ways to run it (browser, desktop, Jupyter) 02:30 The web app + mobile/responsive layout + light/dark mode 04:30 Installing and running the desktop app 07:30 Running GeoLibre in a Jupyter notebook 10:30 Saving and loading projects (bidirectional) 12:30 Website tour and the tech stack (MapLibre, React, Tauri, DuckDB, deck.gl) 15:00 Live demo: 3D tiles and navigating the map canvas 16:30 Layers panel and styling panel overview 18:00 Creating a new project and choosing a base map 19:30 Drag-and-drop vector data + the identify tool 21:00 Attribute table: select, edit, and export 22:30 Editing geometry (move, rotate, add, delete vertices) 24:00 Drag-and-drop raster data (DEM) 25:00 Adding a GeoParquet layer 26:00 Streaming a 180 GB vector dataset (no download) 28:00 Vector styling: zoom levels, labels, 3D extrusion 29:30 Raster data: COGs, local files, color maps, pixel inspection 32:00 CSV / lat-long points and GPS (GPX) tracks 33:30 XYZ, WFS, and WMS web services 35:00 PMTiles (Overture buildings) in 2D and 3D 37:00 LiDAR point clouds and 3D tiles 38:30 Connecting to DuckDB 40:00 Map controls: scale, terrain, search, color bar, legend, measurement, bookmarks, minimap 43:00 Plugins and extending GeoLibre 44:00 Sharing projects, tokens, and map-only embed links 46:30 Wrap-up and what's next --------------------------------------------------------- 📌 More Resources: 📚 Get My Books on GeoAI, DuckDB, and GIS Programming: https://opengeopub.com/bundles/geopython 📺 GeoAI Playlist:    • GeoAI Tutorials   👋 Let’s Connect: YouTube:    / @giswqs   LinkedIn:   / giswqs   Twitter:   / giswqs   Facebook:   / opengeos