GeoLibre v1.2.0 is here!
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.
This release packs in 35+ pull requests of new capabilities. A few highlights:
- Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server.
- A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots).
- More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a https://t.co/Iu3zs18eJk Layer builder for custom overlays.
- Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning.
- New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools.
- Print and share. A print layout composer that exports your map to PNG or PDF.
- Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations.
- Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests.
Try the live demo: https://t.co/hOVekblXMc
Star it on GitHub: https://t.co/VXq8c1o2Nd
Docs and roadmap: https://t.co/7VA2AQoCUc
Release notes: https://t.co/G7VorFZxIy
#GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre
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🎨 Ever wondered what it’s like to be a Cartographer at Esri?
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📖 Read the blog: https://t.co/KXQlRfDOHB
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#DataScience#DataScientist
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Bookmark this before someone takes it down:
The open source community offers devs many opportunities to collaborate, learn, & grow.
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A Wall Street quant who ran a trading desk for 12 years just released the exact framework behind building algorithmic trading systems from scratch publicly for free.
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