Anand Shah

GeoLibre v3.5.0 is here! GeoLibre is 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. This release draws the map in other coordinate systems, including planetary grids for the Moon and Mars, makes ArcGIS editing follow your service's own rules, and turns story maps into interactive presentations. It brings together 65 pull requests from 13 contributors, 7 of them contributing for the first time. Thank you to everyone who helped! What's new in v3.5.0 - Other coordinate systems: draw the map in another CRS, including planetary grids, with WMS basemaps rendered to match. - Smarter ArcGIS editing: start new features from a published template, with contingent values checked as you edit and before every save. - Organization geocoders: use your organization's ArcGIS locators for place search, batch geocoding, and reverse geocoding, with suggestions as you type. - Interactive story maps: autoplay chapters, pause to explore, and mark up the map live while presenting. - More data in more places: ArcGIS VTPK and TPKX packages, MBTiles on the web, PostGIS on Android and iOS, and point clouds from STAC catalogs. - A smoother workspace: bottom panels that sit under the map, a searchable Processing menu, and a map view that stays in the web address. - A more capable AI Assistant: it can switch on an installed plugin and use its tools in the same turn. Try it out - Launch GeoLibre Web: web.geolibre.app - GitHub: github.com/opengeos/GeoLibre - Documentation: geolibre.app - Release notes: github.com/opengeos/GeoLibre… #GIS #GeospatialData #OpenSource #ArcGIS #PlanetaryScience #StoryMaps #MapLibre #Python

terrio v0.5.0 is here! terrio reads, writes, converts and reprojects geospatial rasters, vectors and point clouds in pure Rust, with no GDAL and no C dependencies. Use it from the command line, Python, JavaScript (WebAssembly) or Rust, or let an AI agent drive it. What's new in v0.5.0 - Vector processing: buffer, overlay (intersection, union, difference), dissolve, is-valid, make-valid and clean, plus centroid, singlepart, vertices and footprint. - Raster analysis: contour lines, zonal statistics across bands and rasters, and sampling many rasters at points. - SQL: a standalone terrio sql command for querying vector layers. - A rio command line: terrio-rio runs rasterio's rio commands (info, clip, merge, warp, calc and more). - New formats: GRIB1 and GRIB2 weather data, read lazily from local files or remotely from NOAA and ECMWF. - Point clouds: more of PDAL's filters (dbscan, covariancefeatures, lof, dem, colorization, overlay and more), and appending points to EPT datasets in place. - Coordinates: transformations between vertical CRSs, point motion between coordinate epochs. - Multidimensional data: Zarr arrays with more than three dimensions, netCDF groups written from Python and JavaScript, and xarray subdatasets, GCPs and RPCs opened as rioxarray opens them. - STAC: POST searches with paging, and Microsoft Planetary Computer signing. - WebAssembly: multithreading (6 to 8x faster decoding and COG writing in Node.js, Chromium and Firefox), a terrio-js/core module that is less than half the download, and terrio-js/memory64 for datasets larger than 4 GB. Every new processing command is also an MCP tool, so AI agents can run them too. Try it out - Playground in your browser: terrio.opengeos.org/playgrou… - Documentation: terrio.opengeos.org - GitHub: github.com/opengeos/terrio - Release notes: github.com/opengeos/terrio/r… #GIS #Rust #OpenSource #Geospatial #Python #WebAssembly #GDAL