RustGIS v0.3.0 is here! RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script. This release puts the world's open data a search away, draws maps on the GPU, and brings RustGIS to Python and Jupyter. It is our biggest release yet: 150 pull requests from 16 contributors, 15 of them contributing for the first time. Thank you to everyone who helped! What's new in v0.3.0 - Open data, built in: search STAC catalogs, Planetary Computer, Overture Maps, Source Cooperative, OpenStreetMap, geoBoundaries, data.gov and other open-data portals, and browse S3 buckets. - Cloud-native by address: GeoParquet, FlatGeobuf and cloud-optimised GeoTIFFs open by their web address and are read in place, only the parts you need. - More formats and services: live PostGIS tables, DXF, LiDAR (LAS, LAZ, COPC), MBTiles, Zarr, WCS, OGC API Tiles and many more, plus an SQL pane powered by DuckDB Spatial. - A faster map: GPU rendering (beta), smooth zoom and pan, and a globe with your map draped over it under the stars. - Python and Jupyter: pip install rustgis to run the engine in Python and open the app in a notebook with rustgis.Map. - Process plugins: plugins that run as programs, with their own Python environments, in the background with progress and Cancel. - AI Assistant: sign in with ChatGPT to use your plan, and let external AI clients drive the app. Try it out - Launch the web app: web.rustgis.app - Download: downloads.rustgis.app - Documentation: rustgis.app - GitHub: github.com/opengeos/RustGIS - Release notes: github.com/opengeos/RustGIS/… #GIS #Rust #OpenSource #Geospatial #OpenData #Python #CloudNative

Subway Builder is released!