Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Introducing a new #Python package called mapwidget - creating interactive 3D maps in a Jupyter environment using popular JavaScript libraries, such as #CesiumJS, #Mapbox, #MapLibre, #Leaflet, and #OpenLayers GitHub: #geospatial #gischat #anywidget

Qiusheng Wu

53,622 subscribers

154,990 Aufrufe • vor 3 Jahren •via X (Twitter)

#Python #CesiumJS #Mapbox #MapLibre #Leaflet #OpenLayers #geospatial #gischat #anywidget

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Qiusheng Wu

Qiusheng Wuvor 3 Jahren

The mapwidget Python package is built upon the #anywidget pacakge by @trevmanz. Thank you for making it so much easier to build Jupyter widget from JavaScript libraries.

Profilbild von Qiusheng Wu

Qiusheng Wuvor 3 Jahren

Note that mapwidget has bidirectional communication. You can pass data from JavaScript back to Python for further processing, e.g., getting map center, bounds, zoom level. Try it out 👇

Profilbild von Julio

Juliovor 3 Jahren

Great news! Thank you

Profilbild von Antony.Barja

Antony.Barjavor 3 Jahren

Maplibre ❤️

Profilbild von ul

ulvor 3 Jahren

amazing!!

Profilbild von Thepowerofgis

Thepowerofgisvor 3 Jahren

Nice one from Sifu... Amazing 3D view

Profilbild von Diego Chávez

Diego Chávezvor 3 Jahren

Awesome !

Profilbild von Archer

Archervor 3 Jahren

Good one

Profilbild von Amit Kokje Ph.D | अमित कोकजे

Amit Kokje Ph.D | अमित कोकजेvor 3 Jahren

Excellent, Thank you.

Profilbild von Danish Khan❄️

Danish Khan❄️vor 3 Jahren

Good work, keep it up

Ähnliche Videos

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

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

102,582 Aufrufe • vor 8 Monaten

The anymap-ts Python package now supports creating choropleth maps from vector data with a few simple clicks! Give it a try: Web demo: Jupyter demo: GitHub: Documentation: #geospatial #opensource

The anymap-ts Python package now supports creating choropleth maps from vector data with a few simple clicks! Give it a try: Web demo: Jupyter demo: GitHub: Documentation: #geospatial #opensource

Qiusheng Wu

12,496 Aufrufe • vor 8 Monaten

GeoLibre now supports Mapbox as a rendering engine, alongside MapLibre and Cesium. With Mapbox integration, GeoLibre can take advantage of the Mapbox ecosystem for high-performance mapping, rich cartographic styling, and interactive geospatial visualization. More rendering capabilities and integrations are coming soon. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GeoLibre #Mapbox #MapLibre #GIS #3DGIS #OpenSource #Geospatial

GeoLibre now supports Mapbox as a rendering engine, alongside MapLibre and Cesium. With Mapbox integration, GeoLibre can take advantage of the Mapbox ecosystem for high-performance mapping, rich cartographic styling, and interactive geospatial visualization. More rendering capabilities and integrations are coming soon. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GeoLibre #Mapbox #MapLibre #GIS #3DGIS #OpenSource #Geospatial

Qiusheng Wu

15,279 Aufrufe • vor 1 Monat

How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre

How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre

Qiusheng Wu

12,745 Aufrufe • vor 7 Monaten

Visualize real-time movement data in 3D with #Leafmap and #MapLibre 🗺️💻 Update GPS tracking data from vehicles, animals, hikers, sports, and more on interactive 3D maps! 🚗🐘🚴‍♀️⚽ GitHub: Notebook: #geospatial #dataviz #opensource #python 🌍📊🐍

Visualize real-time movement data in 3D with #Leafmap and #MapLibre 🗺️💻 Update GPS tracking data from vehicles, animals, hikers, sports, and more on interactive 3D maps! 🚗🐘🚴‍♀️⚽ GitHub: Notebook: #geospatial #dataviz #opensource #python 🌍📊🐍

Qiusheng Wu

20,599 Aufrufe • vor 2 Jahren

📢 Exciting news! Leafmap now supports creating 3D 🌎 maps with Mapbox! This demo showcases how to visualize the ESA global land cover from #EarthEngine on a 3D globe. Explore the 100 PB+ Earth Engine Data Catalog and display any geospatial datasets in 3D 🚀 Notebook: #leafmap #geospatial #opensource #python

📢 Exciting news! Leafmap now supports creating 3D 🌎 maps with Mapbox! This demo showcases how to visualize the ESA global land cover from #EarthEngine on a 3D globe. Explore the 100 PB+ Earth Engine Data Catalog and display any geospatial datasets in 3D 🚀 Notebook: #leafmap #geospatial #opensource #python

Qiusheng Wu

18,749 Aufrufe • vor 2 Jahren

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

Qiusheng Wu

12,908 Aufrufe • vor 1 Jahr

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

Qiusheng Wu

18,248 Aufrufe • vor 2 Jahren

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

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 Aufrufe • vor 3 Monaten

I am excited to introduce OpenGeoAgent, a powerful open-source multimodal AI agent for automated geospatial analysis and visualization! It supports QGIS, Jupyter notebook, and Python scripting. In this tutorial, you’ll learn how to automate GIS workflows using natural language, generate maps, analyze satellite data, and even run complex hydrological models. You can even interact with the agent using voice commands (no typing needed). Video: GitHub: QGIS Plugin: #geospatial #GeoAgent #OpenSource #AI

I am excited to introduce OpenGeoAgent, a powerful open-source multimodal AI agent for automated geospatial analysis and visualization! It supports QGIS, Jupyter notebook, and Python scripting. In this tutorial, you’ll learn how to automate GIS workflows using natural language, generate maps, analyze satellite data, and even run complex hydrological models. You can even interact with the agent using voice commands (no typing needed). Video: GitHub: QGIS Plugin: #geospatial #GeoAgent #OpenSource #AI

Qiusheng Wu

63,819 Aufrufe • vor 5 Monaten

🚀 A brand-new feature is coming to the SAMGeo Python package: interactive remote-sensing image segmentation with text prompts powered by SAM3. This update makes geospatial segmentation even more intuitive: just describe what you want to detect, and let GeoAI do the rest. ✨ GitHub PR: #GeoAI #SAM3 #OpenSource #Python

Qiusheng Wu

32,950 Aufrufe • vor 10 Monaten

GeoLibre v3.1.0 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 Mapbox GL JS and the ArcGIS Maps SDK in as full rendering engines next to MapLibre and Cesium, turns the 3D globe into a live situation room with the new God's Eye View plugin, and adds OAuth sign-in for sharing your maps. What's new in v3.1.0 - Four rendering engines: switch the whole workspace between MapLibre, Mapbox, Cesium, and ArcGIS from the View menu. Your layers, styles, popups, and most plugins come along, and GeoLibre remembers your choice. - ArcGIS in 2D and 3D: native ArcGIS services, 3D scenes with terrain and extrusion, PMTiles, Zarr, and NetCDF, plus print atlases, all on the ArcGIS engine. - God's Eye View: watch live earthquakes, satellite orbits, active fires, transit, traffic cameras, live traffic flow, and ship positions on the Cesium globe. - Secure sharing: sign in with OAuth on the web and desktop, and share projects with view, comment, or edit roles, link expiry, passwords, and revocation. - A faster AI Assistant: talk to it with avoice commands, get simple map commands done in under a second, pick OpenRouter as a provider, and find Whitebox tools by describing what you want. - New data plugins: Fields of the World agricultural field boundaries, Satellite Embeddings from foundation models such as AlphaEarth, and IGN LiDAR HD point clouds for France. - More languages and links: Hebrew joins the right-to-left locales, and new ?stac= links open a STAC catalog straight from a URL. This release landed 220 pull requests from 15 contributors, and 8 people made their first contribution to GeoLibre. Thank you to everyone who filed an issue, reviewed a change, or sent a patch. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #CesiumJS #ArcGIS #Mapbox #MapLibre #3DMapping

GeoLibre v3.1.0 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 Mapbox GL JS and the ArcGIS Maps SDK in as full rendering engines next to MapLibre and Cesium, turns the 3D globe into a live situation room with the new God's Eye View plugin, and adds OAuth sign-in for sharing your maps. What's new in v3.1.0 - Four rendering engines: switch the whole workspace between MapLibre, Mapbox, Cesium, and ArcGIS from the View menu. Your layers, styles, popups, and most plugins come along, and GeoLibre remembers your choice. - ArcGIS in 2D and 3D: native ArcGIS services, 3D scenes with terrain and extrusion, PMTiles, Zarr, and NetCDF, plus print atlases, all on the ArcGIS engine. - God's Eye View: watch live earthquakes, satellite orbits, active fires, transit, traffic cameras, live traffic flow, and ship positions on the Cesium globe. - Secure sharing: sign in with OAuth on the web and desktop, and share projects with view, comment, or edit roles, link expiry, passwords, and revocation. - A faster AI Assistant: talk to it with avoice commands, get simple map commands done in under a second, pick OpenRouter as a provider, and find Whitebox tools by describing what you want. - New data plugins: Fields of the World agricultural field boundaries, Satellite Embeddings from foundation models such as AlphaEarth, and IGN LiDAR HD point clouds for France. - More languages and links: Hebrew joins the right-to-left locales, and new ?stac= links open a STAC catalog straight from a URL. This release landed 220 pull requests from 15 contributors, and 8 people made their first contribution to GeoLibre. Thank you to everyone who filed an issue, reviewed a change, or sent a patch. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #CesiumJS #ArcGIS #Mapbox #MapLibre #3DMapping

Qiusheng Wu

44,478 Aufrufe • vor 24 Tagen

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

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 Aufrufe • vor 2 Monaten

An interactive 3D visualization of age, income, and education in Manhattan as a rotatable layer stack. Mapbox GL JS, #rstats, and the mapgl R package make it possible. I've made the code available for you here to try out:

An interactive 3D visualization of age, income, and education in Manhattan as a rotatable layer stack. Mapbox GL JS, #rstats, and the mapgl R package make it possible. I've made the code available for you here to try out:

Kyle Walker

16,693 Aufrufe • vor 2 Jahren

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

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

25,441 Aufrufe • vor 2 Monaten

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

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

20,799 Aufrufe • vor 2 Monaten

RustGIS is now on PyPI: pip install rustgis RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script. The new rustgis Python package brings the RustGIS engine into Python and the full RustGIS app into your Jupyter notebook, with no server to run and nothing else to install. What you can do - The engine in-process: open the same data the app opens, run any of RustGIS's commands and geoprocessing tools, style layers and render maps, all from Python. - GeoPandas in and out: turn any layer into a GeoDataFrame, or add a GeoDataFrame as a layer. - The whole app in a notebook cell: shows the ribbon, panes and map right below your code. - Two-way sync: what Python adds or styles appears in the app, and what you pan, edit or add in the app comes back to Python. - Projects that travel: save a .rgis project from Python and open it as it is in the desktop app or the web app. - Runs where you work: JupyterLab, Jupyter Notebook, VS Code and Google Colab, with prebuilt wheels for Windows, macOS and Linux. Get started in three lines: import rustgis m = m Try it out - Open the getting-started notebook in Colab: - PyPI: - Python guide: - Launch the web app: - GitHub: #GIS #Rust #Python #Jupyter #OpenSource #Geospatial

RustGIS is now on PyPI: pip install rustgis RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script. The new rustgis Python package brings the RustGIS engine into Python and the full RustGIS app into your Jupyter notebook, with no server to run and nothing else to install. What you can do - The engine in-process: open the same data the app opens, run any of RustGIS's commands and geoprocessing tools, style layers and render maps, all from Python. - GeoPandas in and out: turn any layer into a GeoDataFrame, or add a GeoDataFrame as a layer. - The whole app in a notebook cell: shows the ribbon, panes and map right below your code. - Two-way sync: what Python adds or styles appears in the app, and what you pan, edit or add in the app comes back to Python. - Projects that travel: save a .rgis project from Python and open it as it is in the desktop app or the web app. - Runs where you work: JupyterLab, Jupyter Notebook, VS Code and Google Colab, with prebuilt wheels for Windows, macOS and Linux. Get started in three lines: import rustgis m = m Try it out - Open the getting-started notebook in Colab: - PyPI: - Python guide: - Launch the web app: - GitHub: #GIS #Rust #Python #Jupyter #OpenSource #Geospatial

Qiusheng Wu

13,576 Aufrufe • vor 6 Tagen

Explore AR advancements in architectural design 🏙 Follow Geopogo's Mike Hoppe as he tests a new geospatial update for the Magic Leap 2 AR glasses, built using Cesium and our Photorealistic 3D Tiles 🤩 → What immersive experience are you creating?

Explore AR advancements in architectural design 🏙 Follow Geopogo's Mike Hoppe as he tests a new geospatial update for the Magic Leap 2 AR glasses, built using Cesium and our Photorealistic 3D Tiles 🤩 → What immersive experience are you creating?

Google Maps Platform

19,912 Aufrufe • vor 3 Jahren

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

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

19,198 Aufrufe • vor 4 Monaten

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

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

39,768 Aufrufe • vor 4 Monaten