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Image Georeferencing Using GeoLibre in the Browser Learn how to georeference images, scanned maps, and historical maps directly in your web browser using GeoLibre, with no desktop GIS software required. Video tutorial: In this tutorial, I demonstrate how to georeference a campus map by selecting ground control points, choosing...

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Qiusheng Wu

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35,369 views • 3 days ago •via X (Twitter)

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GeoLibre now supports rendering Google Photorealistic 3D Tiles! 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. Try it out with your own Google Maps API key: - Launch GeoLibre web: - GitHub: - Documentation: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre
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GeoLibre now supports rendering Google Photorealistic 3D Tiles! 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. Try it out with your own Google Maps API key: - Launch GeoLibre web: - GitHub: - Documentation: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre

Qiusheng Wu

19,625 views • 2 months ago

Regularize Building Footprints in the Browser with GeoLibre! Learn how to regularize building footprints directly in your web browser using GeoLibre, with no installation required. In this tutorial, you'll see how GeoLibre uses the high performance Rust-based engine to clean up irregular building polygons generated from AI models or manual digitizing. The video demonstrates how to load data, configure regularization parameters, compare before and after results, export the processed data, and access hundreds of additional geospatial analysis tools powered by the GeoLibre-Rust project. Try it out - Video tutorial: - Live demo: - Launch GeoLibre Web: - GeoLibre: - GeoLibre-Rust: - Sample building dataset: #geospatial #opensource #MapLibre #GeoLibre
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Regularize Building Footprints in the Browser with GeoLibre! Learn how to regularize building footprints directly in your web browser using GeoLibre, with no installation required. In this tutorial, you'll see how GeoLibre uses the high performance Rust-based engine to clean up irregular building polygons generated from AI models or manual digitizing. The video demonstrates how to load data, configure regularization parameters, compare before and after results, export the processed data, and access hundreds of additional geospatial analysis tools powered by the GeoLibre-Rust project. Try it out - Video tutorial: - Live demo: - Launch GeoLibre Web: - GeoLibre: - GeoLibre-Rust: - Sample building dataset: #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

17,934 views • 1 month ago

GeoLibre v1.4.0 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 brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
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GeoLibre v1.4.0 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 brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

30,046 views • 2 months ago

I'm excited to introduce GeoLibre, a lightweight, cloud-native desktop GIS built with MapLibre GL JS and Tauri. GeoLibre is designed for modern geospatial workflows, combining the flexibility of web technologies with the performance of a native desktop application. The current prototype includes a MapLibre-powered map workspace, local vector data import, project persistence, and built-in plugins for basemaps, layer control, swipe, street view, lidar, GeoAgent, and GeoEditor integrations. GeoLibre can run directly in a web browser or as a standalone cross-platform desktop application (<30 MB). GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #GeoLibre #GIS #Geospatial #MapLibre #OpenSource #CloudNative
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I'm excited to introduce GeoLibre, a lightweight, cloud-native desktop GIS built with MapLibre GL JS and Tauri. GeoLibre is designed for modern geospatial workflows, combining the flexibility of web technologies with the performance of a native desktop application. The current prototype includes a MapLibre-powered map workspace, local vector data import, project persistence, and built-in plugins for basemaps, layer control, swipe, street view, lidar, GeoAgent, and GeoEditor integrations. GeoLibre can run directly in a web browser or as a standalone cross-platform desktop application (<30 MB). GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #GeoLibre #GIS #Geospatial #MapLibre #OpenSource #CloudNative

Qiusheng Wu

34,794 views • 3 months ago

Mapping the 2026 Nepal Floods with Free High-Resolution Satellite Imagery In this tutorial, I demonstrate how to use GeoLibre to find, visualize, compare, and download open disaster imagery from Vantor, Planet Labs, and OpenAerialMap. You’ll learn how to create an interactive layer-swipe map, explore the terrain in 3D, and examine affected buildings and infrastructure. Video tutorial: Try it out: - Web app: - GitHub: #Nepal #NepalFloods #geospatial #opensource #GeoLibre
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Mapping the 2026 Nepal Floods with Free High-Resolution Satellite Imagery In this tutorial, I demonstrate how to use GeoLibre to find, visualize, compare, and download open disaster imagery from Vantor, Planet Labs, and OpenAerialMap. You’ll learn how to create an interactive layer-swipe map, explore the terrain in 3D, and examine affected buildings and infrastructure. Video tutorial: Try it out: - Web app: - GitHub: #Nepal #NepalFloods #geospatial #opensource #GeoLibre

Qiusheng Wu

64,015 views • 9 days ago

I am very excited to release GeoLibre v1.0 🌍 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 Try it: GitHub: Full video tutorial: 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. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre
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I am very excited to release GeoLibre v1.0 🌍 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 Try it: GitHub: Full video tutorial: 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. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre

Qiusheng Wu

39,593 views • 3 months ago

GeoLibre now ships 1000+ free and open-source geospatial tools running entirely in your browser, no server, no Python, no install. It builds on whitebox-wasm (the WASM-ready fork of whitebox_next_gen) and ships as a superset: 735 tools that whitebox-wasm offers, plus 274 GeoLibre-authored tools. This is part of the broader GeoLibre effort to build a fast, open, and dependency-light geospatial stack that works anywhere the web does. - Launch GeoLibre Web: - GitHub: - Documentation: - GeoLibre Rust: All the tools are accessible via GeoLibre, Python, Jupyter notebook and JavaScript. Feedback and contributions are welcome. #OpenSource #Geospatial #Rust #WebAssembly #GIS #RemoteSensing #GeoLibre #WhiteboxTools
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GeoLibre now ships 1000+ free and open-source geospatial tools running entirely in your browser, no server, no Python, no install. It builds on whitebox-wasm (the WASM-ready fork of whitebox_next_gen) and ships as a superset: 735 tools that whitebox-wasm offers, plus 274 GeoLibre-authored tools. This is part of the broader GeoLibre effort to build a fast, open, and dependency-light geospatial stack that works anywhere the web does. - Launch GeoLibre Web: - GitHub: - Documentation: - GeoLibre Rust: All the tools are accessible via GeoLibre, Python, Jupyter notebook and JavaScript. Feedback and contributions are welcome. #OpenSource #Geospatial #Rust #WebAssembly #GIS #RemoteSensing #GeoLibre #WhiteboxTools

Qiusheng Wu

27,096 views • 1 month ago

GeoLibre + GeoLens: A Modern GIS Stack for Self-Hosting Geospatial Data In this tutorial, I introduce a modern, fully open-source GIS stack for self-hosting, managing, visualizing, editing, and analyzing geospatial data using GeoLens and GeoLibre. GeoLens provides an easy-to-deploy platform for hosting vector and raster datasets, while GeoLibre connects directly to GeoLens for interactive visualization and geospatial analysis. Together, they provide a powerful open-source workflow for organizations, researchers, and individuals who want to manage their own geospatial infrastructure. Everything is built around open-source software and open geospatial standards. GeoLibre: GeoLibre Web: GeoLibre GitHub: GeoLens: #geospatial #opensource #MapLibre #GeoLibre #GeoLens
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GeoLibre + GeoLens: A Modern GIS Stack for Self-Hosting Geospatial Data In this tutorial, I introduce a modern, fully open-source GIS stack for self-hosting, managing, visualizing, editing, and analyzing geospatial data using GeoLens and GeoLibre. GeoLens provides an easy-to-deploy platform for hosting vector and raster datasets, while GeoLibre connects directly to GeoLens for interactive visualization and geospatial analysis. Together, they provide a powerful open-source workflow for organizations, researchers, and individuals who want to manage their own geospatial infrastructure. Everything is built around open-source software and open geospatial standards. GeoLibre: GeoLibre Web: GeoLibre GitHub: GeoLens: #geospatial #opensource #MapLibre #GeoLibre #GeoLens

Qiusheng Wu

20,236 views • 28 days ago

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: 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. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre
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🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: 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. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

94,647 views • 1 month ago

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre
0:51

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

Qiusheng Wu

42,457 views • 3 months ago

Introducing the GeoLibre R package! GeoLibre already runs as a desktop app, a web app, and a Jupyter widget. Now it runs in R too. The new geolibre R package is an htmlwidgets interface that embeds the full GeoLibre GIS in the RStudio Viewer, Quarto, R Markdown, and Shiny. What you get: - A real GIS, not a static map. Layer panel, styling, drawing tools, identify, and the processing toolbox are all there inside your R session. - Bring your own data. `sf` objects, GeoJSON, CSV and XY tables, Shapefile, GeoPackage, FlatGeobuf, GeoParquet, KML, Cloud Optimized GeoTIFF, XYZ, WMS, WMTS, WFS, PMTiles, vector tiles, 3D Tiles, and even video overlays. - Shiny, in both directions. `geolibre_proxy()` updates a live map without rebuilding it, and drawn features, selected features, identify results, and the current view come back as Shiny inputs. You can even run processing algorithms from the server. The package is on GitHub now while the first CRAN submission is prepared. Try it out - R package website: - Live interactive example: - Source: - GeoLibre Web: - Documentation: #RStats #GIS #Geospatial #OpenSource #Shiny #MapLibre #GeoLibre
0:36

Introducing the GeoLibre R package! GeoLibre already runs as a desktop app, a web app, and a Jupyter widget. Now it runs in R too. The new geolibre R package is an htmlwidgets interface that embeds the full GeoLibre GIS in the RStudio Viewer, Quarto, R Markdown, and Shiny. What you get: - A real GIS, not a static map. Layer panel, styling, drawing tools, identify, and the processing toolbox are all there inside your R session. - Bring your own data. `sf` objects, GeoJSON, CSV and XY tables, Shapefile, GeoPackage, FlatGeobuf, GeoParquet, KML, Cloud Optimized GeoTIFF, XYZ, WMS, WMTS, WFS, PMTiles, vector tiles, 3D Tiles, and even video overlays. - Shiny, in both directions. `geolibre_proxy()` updates a live map without rebuilding it, and drawn features, selected features, identify results, and the current view come back as Shiny inputs. You can even run processing algorithms from the server. The package is on GitHub now while the first CRAN submission is prepared. Try it out - R package website: - Live interactive example: - Source: - GeoLibre Web: - Documentation: #RStats #GIS #Geospatial #OpenSource #Shiny #MapLibre #GeoLibre

Qiusheng Wu

24,836 views • 1 month ago

GeoLibre v0.5.0 is out! This update significantly expands data format support, making it easier to work with a wide range of geospatial datasets in a lightweight, modern GIS environment. Newly supported formats and services include: GeoJSON, Shapefile, GeoPackage, GeoParquet, KML/KMZ, FlatGeobuf, PMTiles MBTiles, GeoTIFF, Zarr, LiDAR point clouds, Gaussian Splatting, and ArcGIS services. GeoLibre is a lightweight, cloud-native GIS built with MapLibre and Tauri. It runs directly in the browser and is also available as a standalone cross-platform desktop application at only ~30 MB. GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #geospatial #opensource #maplibre
1:45

GeoLibre v0.5.0 is out! This update significantly expands data format support, making it easier to work with a wide range of geospatial datasets in a lightweight, modern GIS environment. Newly supported formats and services include: GeoJSON, Shapefile, GeoPackage, GeoParquet, KML/KMZ, FlatGeobuf, PMTiles MBTiles, GeoTIFF, Zarr, LiDAR point clouds, Gaussian Splatting, and ArcGIS services. GeoLibre is a lightweight, cloud-native GIS built with MapLibre and Tauri. It runs directly in the browser and is also available as a standalone cross-platform desktop application at only ~30 MB. GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #geospatial #opensource #maplibre

Qiusheng Wu

19,168 views • 3 months ago

The GeoLibre R package is now available on CRAN! GeoLibre already runs as a desktop app, a web app, and a Jupyter widget. Now it runs in R too. The new geolibre R package is an htmlwidgets interface that embeds the full GeoLibre GIS in the RStudio Viewer, Quarto, R Markdown, and Shiny. What you get: - A real GIS, not a static map. Layer panel, styling, drawing tools, identify, and the processing toolbox are all there inside your R session. - Bring your own data. `sf` objects, GeoJSON, CSV and XY tables, Shapefile, GeoPackage, FlatGeobuf, GeoParquet, KML, Cloud Optimized GeoTIFF, XYZ, WMS, WMTS, WFS, PMTiles, vector tiles, 3D Tiles, and even video overlays. - Shiny, in both directions. `geolibre_proxy()` updates a live map without rebuilding it, and drawn features, selected features, identify results, and the current view come back as Shiny inputs. You can even run processing algorithms from the server. Try it out - R package website: - Live interactive example: - Source: - GeoLibre Web: - Documentation: #RStats #GIS #Geospatial #OpenSource #Shiny #MapLibre #GeoLibre
0:36

The GeoLibre R package is now available on CRAN! GeoLibre already runs as a desktop app, a web app, and a Jupyter widget. Now it runs in R too. The new geolibre R package is an htmlwidgets interface that embeds the full GeoLibre GIS in the RStudio Viewer, Quarto, R Markdown, and Shiny. What you get: - A real GIS, not a static map. Layer panel, styling, drawing tools, identify, and the processing toolbox are all there inside your R session. - Bring your own data. `sf` objects, GeoJSON, CSV and XY tables, Shapefile, GeoPackage, FlatGeobuf, GeoParquet, KML, Cloud Optimized GeoTIFF, XYZ, WMS, WMTS, WFS, PMTiles, vector tiles, 3D Tiles, and even video overlays. - Shiny, in both directions. `geolibre_proxy()` updates a live map without rebuilding it, and drawn features, selected features, identify results, and the current view come back as Shiny inputs. You can even run processing algorithms from the server. Try it out - R package website: - Live interactive example: - Source: - GeoLibre Web: - Documentation: #RStats #GIS #Geospatial #OpenSource #Shiny #MapLibre #GeoLibre

Qiusheng Wu

14,328 views • 5 days ago

GeoLibre v2.1 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 adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
1:49

GeoLibre v2.1 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 adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

12,139 views • 1 month ago

GeoLibre v1.10.0 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 brings photorealistic city-scale 3D to the map, adds OGC API vector tiles, and makes vector tiles and live editing easier to work with. What's new in v1.10.0 - Google Photorealistic 3D Tiles: drape entire cities in photorealistic 3D right in the map, streamed and rendered through - ArcGIS I3S scene layers: stream Integrated Mesh and 3D Object scene layers and render them in 3D on the shared instance. - OGC API vector tiles: add standards-based OGC API - Tiles vector tile services as a remote source, right alongside XYZ and ArcGIS vector tiles. - Local HDF5 and NetCDF-4 loading: open scientific HDF5 and NetCDF-4 files straight from disk, no cloud references required. - GeoEditor from the current view: pull the vector features currently visible in the map into the GeoEditor and start editing what you are looking at, without re-importing the source data. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre
1:29

GeoLibre v1.10.0 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 brings photorealistic city-scale 3D to the map, adds OGC API vector tiles, and makes vector tiles and live editing easier to work with. What's new in v1.10.0 - Google Photorealistic 3D Tiles: drape entire cities in photorealistic 3D right in the map, streamed and rendered through - ArcGIS I3S scene layers: stream Integrated Mesh and 3D Object scene layers and render them in 3D on the shared instance. - OGC API vector tiles: add standards-based OGC API - Tiles vector tile services as a remote source, right alongside XYZ and ArcGIS vector tiles. - Local HDF5 and NetCDF-4 loading: open scientific HDF5 and NetCDF-4 files straight from disk, no cloud references required. - GeoEditor from the current view: pull the vector features currently visible in the map into the GeoEditor and start editing what you are looking at, without re-importing the source data. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre

Qiusheng Wu

24,578 views • 2 months ago

Planetary Mapping in the Browser with GeoLibre! Web mapping just left Earth orbit. GeoLibre, the open-source cloud-native GIS platform, now maps nine more worlds beyond Mars and the Moon: - Mercury - Venus - Io, Europa, Ganymede, and Callisto (Jupiter's Galilean moons) - Titan (Saturn's largest moon) - Pluto and Charon You can browse each one right in your browser, with no install required. A few things I'm excited about under the hood: The imagery comes from USGS Astrogeology, which publishes these mosaics only in an equirectangular projection. MapLibre renders Web Mercator, so GeoLibre reprojects each tile to Web Mercator on the fly at the edge, with no pre-processing and no giant downloads. Every body carries its own radius. Switch to the Moon or Pluto and your distance, area, and scale-bar measurements use that world's geometry instead of Earth's, so the numbers are actually right. A planet switcher in the Layers panel lets you hop between Earth, the Moon, Mars, and the rest with one click. Whether you are teaching planetary science, prototyping a mission map, or just curious what Titan looks like next to a scale bar, it is all a click away. Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: Thanks to USGS Astrogeology and OpenPlanetaryMap for making this data open. #GIS #OpenSource #Geospatial #PlanetaryScience #MapLibre #WebGIS #GeoLibre #Astronomy
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Planetary Mapping in the Browser with GeoLibre! Web mapping just left Earth orbit. GeoLibre, the open-source cloud-native GIS platform, now maps nine more worlds beyond Mars and the Moon: - Mercury - Venus - Io, Europa, Ganymede, and Callisto (Jupiter's Galilean moons) - Titan (Saturn's largest moon) - Pluto and Charon You can browse each one right in your browser, with no install required. A few things I'm excited about under the hood: The imagery comes from USGS Astrogeology, which publishes these mosaics only in an equirectangular projection. MapLibre renders Web Mercator, so GeoLibre reprojects each tile to Web Mercator on the fly at the edge, with no pre-processing and no giant downloads. Every body carries its own radius. Switch to the Moon or Pluto and your distance, area, and scale-bar measurements use that world's geometry instead of Earth's, so the numbers are actually right. A planet switcher in the Layers panel lets you hop between Earth, the Moon, Mars, and the rest with one click. Whether you are teaching planetary science, prototyping a mission map, or just curious what Titan looks like next to a scale bar, it is all a click away. Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: Thanks to USGS Astrogeology and OpenPlanetaryMap for making this data open. #GIS #OpenSource #Geospatial #PlanetaryScience #MapLibre #WebGIS #GeoLibre #Astronomy

Qiusheng Wu

10,325 views • 1 month ago

GeoLibre v1.6.0 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 brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography
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GeoLibre v1.6.0 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 brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

Qiusheng Wu

15,473 views • 2 months ago

GeoLibre v2.5.0 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 is about meeting you where your work already lives: open your QGIS and ArcGIS Pro projects directly, talk to your team on the map itself, explore hyperspectral imagery as a 3D cube, work in discrete global grids, and host sharing and live collaboration on your own server. It is also the most community-driven release so far: 121 pull requests and 52 issues closed in 8 days, from 14 contributors, 12 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.5.0 - Comments on the map: pin a comment to any location or feature, reply in a thread, resolve it when it is handled. - Live collaboration, on your own server: several people can open the same session and see each other's edits, cursors, and comments in real time. - QGIS and ArcGIS Pro project import: open a .qgs, .qgz, .aprx, or .mapx and get the layers. - Discrete global grids: three new DGGS plugins (A5, DGGRID, and DGGAL) render and identify cells over the current view, plus DGGS Generator, Binning, and Compact processing tools. - Hyperspectral data you can actually read: local NetCDF and HDF grids are colormapped in the browser, a cube gets an RGB band combination picked by wavelength. - Spectral profiles from a click: identify a pixel to chart its spectrum against wavelength. - Smart styling on add: every new layer arrives with its own color and geometry-appropriate sizing, and a Style suggestions strip offers one-click renderers. - Autosave, crash recovery, and project history, plus an Elements panel for managing every annotation from a list, a Layer Library for saving a fully configured layer and re-adding it to any later project, and project duplication and templates. - GeoLibre Desktop is on the Mac App Store, and Thai brings the shipped locales to 16 languages besides English, all at 100% coverage. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
1:55

GeoLibre v2.5.0 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 is about meeting you where your work already lives: open your QGIS and ArcGIS Pro projects directly, talk to your team on the map itself, explore hyperspectral imagery as a 3D cube, work in discrete global grids, and host sharing and live collaboration on your own server. It is also the most community-driven release so far: 121 pull requests and 52 issues closed in 8 days, from 14 contributors, 12 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.5.0 - Comments on the map: pin a comment to any location or feature, reply in a thread, resolve it when it is handled. - Live collaboration, on your own server: several people can open the same session and see each other's edits, cursors, and comments in real time. - QGIS and ArcGIS Pro project import: open a .qgs, .qgz, .aprx, or .mapx and get the layers. - Discrete global grids: three new DGGS plugins (A5, DGGRID, and DGGAL) render and identify cells over the current view, plus DGGS Generator, Binning, and Compact processing tools. - Hyperspectral data you can actually read: local NetCDF and HDF grids are colormapped in the browser, a cube gets an RGB band combination picked by wavelength. - Spectral profiles from a click: identify a pixel to chart its spectrum against wavelength. - Smart styling on add: every new layer arrives with its own color and geometry-appropriate sizing, and a Style suggestions strip offers one-click renderers. - Autosave, crash recovery, and project history, plus an Elements panel for managing every annotation from a list, a Layer Library for saving a fully configured layer and re-adding it to any later project, and project duplication and templates. - GeoLibre Desktop is on the Mac App Store, and Thai brings the shipped locales to 16 languages besides English, all at 100% coverage. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

26,788 views • 1 month ago

GeoLibre v1.1 is out! 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 builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre
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GeoLibre v1.1 is out! 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 builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

20,999 views • 3 months ago

GeoLibre v2.3.0 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 brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre
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GeoLibre v2.3.0 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 brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre

Qiusheng Wu

293,802 views • 1 month ago