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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...

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Qiusheng Wu

53,069 subscribers

19,106 次观看 • 2 个月前 •via X (Twitter)

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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
1:08

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

34,621 次观看 • 2 个月前

GeoLibre now supports rendering 3D Tiles! Try it out: GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop, mobile, and web environments. GitHub: Website: #geospaptial #opensource #maplibre #GeoLibre
0:40

GeoLibre now supports rendering 3D Tiles! Try it out: GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop, mobile, and web environments. GitHub: Website: #geospaptial #opensource #maplibre #GeoLibre

Qiusheng Wu

14,460 次观看 • 2 个月前

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
0:33

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

19,409 次观看 • 1 个月前

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
1:49

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

39,504 次观看 • 2 个月前

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 次观看 • 2 个月前

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

24,203 次观看 • 7 天前

Introducing anymap-ts: a new Python package that makes geospatial visualization easy! Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook. It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat. It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor. Try it out: Web demo: Jupyter demo: GitHub: Documentation: Video tutorial: #mapping #maplibre #typescript #jupyter #python
1:48

Introducing anymap-ts: a new Python package that makes geospatial visualization easy! Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook. It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat. It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor. Try it out: Web demo: Jupyter demo: GitHub: Documentation: Video tutorial: #mapping #maplibre #typescript #jupyter #python

Qiusheng Wu

102,401 次观看 • 6 个月前

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

26,828 次观看 • 18 天前

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 次观看 • 1 个月前

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
1:12

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

29,659 次观看 • 2 个月前

Excited to share that maplibre-gl-lidar v0.6.0 is now available! This release adds support for the Entwine Point Tile (EPT) format ( making it possible to stream and visualize billions of LiDAR points directly in the browser with ease and performance. The demo below showcases the visualization of an incredible 184 billion LiDAR points! Live Demo Viewer: GitHub Repository: Full Video Tutorial: Huge thanks to U.S. Geological Survey (USGS) and the 3DEP Program ( for acquiring nationwide LiDAR data, Hobu, Inc. for processing the point clouds into Entwine format ( and the Amazon Web Services (AWS) Open Data Program ( for hosting this massive and continually growing collection of over 350 TB of EPT data with over 75 trillion points. #lidar #opensource #opendata #geospatial #maplibre #deckgl
0:35

Excited to share that maplibre-gl-lidar v0.6.0 is now available! This release adds support for the Entwine Point Tile (EPT) format ( making it possible to stream and visualize billions of LiDAR points directly in the browser with ease and performance. The demo below showcases the visualization of an incredible 184 billion LiDAR points! Live Demo Viewer: GitHub Repository: Full Video Tutorial: Huge thanks to U.S. Geological Survey (USGS) and the 3DEP Program ( for acquiring nationwide LiDAR data, Hobu, Inc. for processing the point clouds into Entwine format ( and the Amazon Web Services (AWS) Open Data Program ( for hosting this massive and continually growing collection of over 350 TB of EPT data with over 75 trillion points. #lidar #opensource #opendata #geospatial #maplibre #deckgl

Qiusheng Wu

13,071 次观看 • 7 个月前

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
0:55

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

20,833 次观看 • 2 个月前

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 次观看 • 1 个月前

Excited to share a new open-source project for the web-mapping and LiDAR community: maplibre-gl-lidar 🚀 With maplibre-gl-lidar, you can visualize large-scale LiDAR point clouds (LAS/LAZ, including COPC) directly in the browser using MapLibre GL JS. It supports point-cloud data stored locally or hosted on the web, and comes with an interactive GUI featuring customizable color schemes, classification legends, and point picking. It even works seamlessly inside Jupyter Notebooks. Visualizing tens of millions of LiDAR points has never been this simple or fast, making it easy to build modern, lightweight, and fully interactive web-based LiDAR viewers. Try it out: Live Demo Viewer: GitHub Repository: Full Video Tutorial: #MapLibre #LiDAR #WebGIS #OpenSource #PointCloud #3DMapping
0:55

Excited to share a new open-source project for the web-mapping and LiDAR community: maplibre-gl-lidar 🚀 With maplibre-gl-lidar, you can visualize large-scale LiDAR point clouds (LAS/LAZ, including COPC) directly in the browser using MapLibre GL JS. It supports point-cloud data stored locally or hosted on the web, and comes with an interactive GUI featuring customizable color schemes, classification legends, and point picking. It even works seamlessly inside Jupyter Notebooks. Visualizing tens of millions of LiDAR points has never been this simple or fast, making it easy to build modern, lightweight, and fully interactive web-based LiDAR viewers. Try it out: Live Demo Viewer: GitHub Repository: Full Video Tutorial: #MapLibre #LiDAR #WebGIS #OpenSource #PointCloud #3DMapping

Qiusheng Wu

52,915 次观看 • 7 个月前

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
0:38

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 次观看 • 1 个月前

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 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: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre
1:25

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 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: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,959 次观看 • 2 个月前

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

26,378 次观看 • 9 天前

GeoLibre v2.2 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. What's new in v2.2.0 - Terrain-aware 3D measurement: the Measure tool now follows the terrain surface for true slope distances and volumes. - Timelapse plugin: animate an image or map series and export it as a shareable GIF or video. - Styled offline basemaps: export PMTiles basemaps that keep their styling, with the offline menus consolidated into one place. - Advanced symbology: a rule-based renderer with per-rule symbol properties, scale-dependent visibility, and nested rules, plus a Style Manager that saves reusable symbol, ramp, and label presets to a personal library. - Diagrams and a symbology pack: draw pie, donut, and bar charts on features, and reach for inverted-polygon masks, arrow and marker lines, geometry generators, and data-driven proportional marker sizing. - Expression everywhere: a shared Expression Builder with a function reference, field list, live preview, and variables. - Print Atlas: generate a map series in the Print Layout, one page per feature or a uniform run of pages along a river or trail, with attribute-table and chart blocks on the page. - Browser-native conversions: COG, FlatGeobuf, Shapefile, and GeoPackage conversions now run in the browser, and Vector to PMTiles. - More formats: VRT raster support, and Esri File Geodatabase (.gdb) layers on the desktop app. - Better recordings: Record Video now captures on-map panels (HTML, legend, colorbar) in the output. - Processing History: a panel that lists every tool you have run, with one-click re-run and Copy as Python to turn a session into a reproducible script. - Live GPS tracking: a moving position marker, a recorded track log, and digitizing new features straight from the GPS feed. - Data quality tools: check validity, fix geometries, and check topology rules to catch and repair bad geometries before they bite. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
2:27

GeoLibre v2.2 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. What's new in v2.2.0 - Terrain-aware 3D measurement: the Measure tool now follows the terrain surface for true slope distances and volumes. - Timelapse plugin: animate an image or map series and export it as a shareable GIF or video. - Styled offline basemaps: export PMTiles basemaps that keep their styling, with the offline menus consolidated into one place. - Advanced symbology: a rule-based renderer with per-rule symbol properties, scale-dependent visibility, and nested rules, plus a Style Manager that saves reusable symbol, ramp, and label presets to a personal library. - Diagrams and a symbology pack: draw pie, donut, and bar charts on features, and reach for inverted-polygon masks, arrow and marker lines, geometry generators, and data-driven proportional marker sizing. - Expression everywhere: a shared Expression Builder with a function reference, field list, live preview, and variables. - Print Atlas: generate a map series in the Print Layout, one page per feature or a uniform run of pages along a river or trail, with attribute-table and chart blocks on the page. - Browser-native conversions: COG, FlatGeobuf, Shapefile, and GeoPackage conversions now run in the browser, and Vector to PMTiles. - More formats: VRT raster support, and Esri File Geodatabase (.gdb) layers on the desktop app. - Better recordings: Record Video now captures on-map panels (HTML, legend, colorbar) in the output. - Processing History: a panel that lists every tool you have run, with one-click re-run and Copy as Python to turn a session into a reproducible script. - Live GPS tracking: a moving position marker, a recorded track log, and digitizing new features straight from the GPS feed. - Data quality tools: check validity, fix geometries, and check topology rules to catch and repair bad geometries before they bite. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

56,840 次观看 • 26 天前

GeoLibre v1.9.0 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 CAD drawing import, smarter WMS and WFS service discovery, and a docked SQL workspace with autocomplete. What's new in v1.9.0 - CAD import: Add CAD drawings (DXF/DWG) as a layer, with a picker for choosing which drawing layers to load and a CRS selector for placing them correctly on the map. - Smarter service discovery: WMS and WFS panels now read the service's GetCapabilities, so you pick available layers and feature types from a populated dropdown instead of typing names by hand. - Docked SQL Workspace: The SQL Workspace now docks as a resizable panel beside the map, with editor autocomplete for tables, columns, and SQL keywords. - Generic Vector to Vector conversion: Convert between any supported vector formats by file extension, alongside the existing targeted converters. - Richer camera tours: Per-keyframe hold and transition duration controls for finer pacing, plus save and reload of a named tour setup. - Better story maps: A hide-itinerary toggle, subtitle and byline fields on the printable handout, and dedicated start and closing slides. - Styling and plugin extras: A transparent (no fill / no outline) option in the color picker, a Legend populated from a paletted raster's color table, and plugins can now use the maplibre-gl-raster stack and the projection control. Try it out - Launch GeoLibre web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
0:54

GeoLibre v1.9.0 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 CAD drawing import, smarter WMS and WFS service discovery, and a docked SQL workspace with autocomplete. What's new in v1.9.0 - CAD import: Add CAD drawings (DXF/DWG) as a layer, with a picker for choosing which drawing layers to load and a CRS selector for placing them correctly on the map. - Smarter service discovery: WMS and WFS panels now read the service's GetCapabilities, so you pick available layers and feature types from a populated dropdown instead of typing names by hand. - Docked SQL Workspace: The SQL Workspace now docks as a resizable panel beside the map, with editor autocomplete for tables, columns, and SQL keywords. - Generic Vector to Vector conversion: Convert between any supported vector formats by file extension, alongside the existing targeted converters. - Richer camera tours: Per-keyframe hold and transition duration controls for finer pacing, plus save and reload of a named tour setup. - Better story maps: A hide-itinerary toggle, subtitle and byline fields on the printable handout, and dedicated start and closing slides. - Styling and plugin extras: A transparent (no fill / no outline) option in the color picker, a Legend populated from a paletted raster's color table, and plugins can now use the maplibre-gl-raster stack and the projection control. Try it out - Launch GeoLibre web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

19,611 次观看 • 1 个月前

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
0:52

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 次观看 • 1 个月前