Loading video...

Video Failed to Load

Go Home

Texas makes 14.3 million parcels available as open data. Modern geospatial tooling unlocks it in a web browser.

kyle_e_walker's profile picture

Kyle Walker

19,702 subscribers

52,900 views • 1 month ago •via X (Twitter)

Science & TechnologyNews & Politics
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.
1:21

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.

Kyle Walker

35,714 views • 3 months ago

14.3 million Texas parcels in a browser. Click anywhere, query the full database in real time. No server. No complex infrastructure. Just modern geospatial tech on a laptop.
1:25

14.3 million Texas parcels in a browser. Click anywhere, query the full database in real time. No server. No complex infrastructure. Just modern geospatial tech on a laptop.

Kyle Walker

58,168 views • 6 months ago

365,000 miles of Texas pipeline, mapped. Nearly 500,000 line segments filterable by type and diameter. Open data makes it accessible; the right architecture with modern GIS tooling makes it fast.
1:07

365,000 miles of Texas pipeline, mapped. Nearly 500,000 line segments filterable by type and diameter. Open data makes it accessible; the right architecture with modern GIS tooling makes it fast.

Kyle Walker

54,984 views • 2 months 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
0:51

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 • 23 days ago

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

19,625 views • 2 months ago

Nearly 18 million California jobs in 2023, visualized by 2-digit NAICS category with block-level precision. Open data and modern geospatial technology make powerful labor market analytics possible.
2:14

Nearly 18 million California jobs in 2023, visualized by 2-digit NAICS category with block-level precision. Open data and modern geospatial technology make powerful labor market analytics possible.

Kyle Walker

56,483 views • 7 months ago

640,000 parcels in Dallas County Texas, visualized in 3D by appraised value per square foot. The data prep? Vector tiles generated in 15 seconds directly from a DuckDB database using my latest geospatial tool, {freestiler}. Package announcement coming tomorrow!
0:57

640,000 parcels in Dallas County Texas, visualized in 3D by appraised value per square foot. The data prep? Vector tiles generated in 15 seconds directly from a DuckDB database using my latest geospatial tool, {freestiler}. Package announcement coming tomorrow!

Kyle Walker

46,418 views • 6 months ago

Mapped every pipeline in Texas: 368,000 miles of infrastructure at your fingertips. For energy operators, midstream companies, and data center site selectors, understanding pipeline proximity matters. Open data + modern GIS makes it accessible.
1:09

Mapped every pipeline in Texas: 368,000 miles of infrastructure at your fingertips. For energy operators, midstream companies, and data center site selectors, understanding pipeline proximity matters. Open data + modern GIS makes it accessible.

Kyle Walker

118,539 views • 7 months ago

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
0:29

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

12,704 views • 6 months 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

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

34,744 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
0:45

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

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
1:04

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

368,000 miles of pipeline infrastructure in Texas. Comprising nearly 500,000 line segments. Visualized smoothly in the browser with PMTiles. There has never been a better time than now to build geospatial apps.
1:02

368,000 miles of pipeline infrastructure in Texas. Comprising nearly 500,000 line segments. Visualized smoothly in the browser with PMTiles. There has never been a better time than now to build geospatial apps.

Kyle Walker

30,214 views • 6 months ago

OpenLedger unlocks endless possibilities for decentralized AI applications. One standout example is a browser extension that scrapes live market data and translates it into real trading intelligence.
0:36

OpenLedger unlocks endless possibilities for decentralized AI applications. One standout example is a browser extension that scrapes live market data and translates it into real trading intelligence.

OpenLedger

50,405 views • 11 months 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
0:20

🚀 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

94,422 views • 1 month ago

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
0:58

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 views • 6 months 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

Web3 made it easy to trade. Shelby makes it possible to create. Store. Price. Analyze. Infer. Data becomes infrastructure. pranav | Shelby from Aptos Labs breaks down how Shelby unlocks a new data economy.
2:01

Web3 made it easy to trade. Shelby makes it possible to create. Store. Price. Analyze. Infer. Data becomes infrastructure. pranav | Shelby from Aptos Labs breaks down how Shelby unlocks a new data economy.

Shelby

74,299 views • 11 months ago