Загрузка видео...

Не удалось загрузить видео

На главную

Bored of boring flat heatmaps? Introducing Topographical Explorer that turns any country into a real-time tactile landscape Search any country → watch real elevation data come alive as thousands of satisfying 3D blocks. Built entirely client-side with: - React Three Fiber + Three.js - AWS Terrain Tiles + OpenStreetMap...

AhmedShahnab's profile picture

shadows

1,356 subscribers

620,223 просмотров • 4 месяцев назад •via X (Twitter)

ИскусствоОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

I wanted to see what would happen if we stripped away pixels and polygons from a video, and instead tried to recreate moving footage using a single, unbroken, continuous line. Introducing SINGLETHREAD- experimental web app that transforms any video into a real-time, 3D oscilloscope-style sculpture, running entirely in the browser Tech Stack: React + Vite | Three.js + React-three-fiber + Postprocessing (Bloom glow) #CreativeCoding #ThreeJS #ReactThreeFiber #WebGL #GenerativeArt #TechArt #Frontend #3D
0:33

I wanted to see what would happen if we stripped away pixels and polygons from a video, and instead tried to recreate moving footage using a single, unbroken, continuous line. Introducing SINGLETHREAD- experimental web app that transforms any video into a real-time, 3D oscilloscope-style sculpture, running entirely in the browser Tech Stack: React + Vite | Three.js + React-three-fiber + Postprocessing (Bloom glow) #CreativeCoding #ThreeJS #ReactThreeFiber #WebGL #GenerativeArt #TechArt #Frontend #3D

shadows

75,882 просмотров • 5 месяцев назад

Beneath our feet, the Earth pulses with fiery veins- Magma rivers carving the planet's secrets. 3D interactive globe of global volcanoes like "Veins of the Earth"! Built w/ React + TypeScript + Three.js + React-three-fiber Data Source: Smithsonian global volcanism program Note- The volcano lines are not actual paths just a creative rendition Like/RT if you it's interesting.. #Volcano #DataViz #ThreeJS #Geospatial #CreativeCoding #GAI #VisualArt #climate
0:27

Beneath our feet, the Earth pulses with fiery veins- Magma rivers carving the planet's secrets. 3D interactive globe of global volcanoes like "Veins of the Earth"! Built w/ React + TypeScript + Three.js + React-three-fiber Data Source: Smithsonian global volcanism program Note- The volcano lines are not actual paths just a creative rendition Like/RT if you it's interesting.. #Volcano #DataViz #ThreeJS #Geospatial #CreativeCoding #GAI #VisualArt #climate

shadows

33,108 просмотров • 6 месяцев назад

What if every city can create its own songs with lyrics? (Sound on) Meet "Song of the City" turns real urban life data into music with Google Lyria 3. We map the actual rhythm of the city - morning coffee rushes, office flows, evening nightlife, late-night subway energy - and feed it into Google Lyria 3 AI model to generate the song. The result? A generative soundtrack that changes with the city itself. Playing: Song of the City- New York Like/Repost if want more experimental project :) #GenerativeAI #Lyria #CreativeCoding #GeoSpatial #MusicTech GoogleAIStudio Three.js React-three-fiber
2:58

What if every city can create its own songs with lyrics? (Sound on) Meet "Song of the City" turns real urban life data into music with Google Lyria 3. We map the actual rhythm of the city - morning coffee rushes, office flows, evening nightlife, late-night subway energy - and feed it into Google Lyria 3 AI model to generate the song. The result? A generative soundtrack that changes with the city itself. Playing: Song of the City- New York Like/Repost if want more experimental project :) #GenerativeAI #Lyria #CreativeCoding #GeoSpatial #MusicTech GoogleAIStudio Three.js React-three-fiber

SHAHNAB AHMED

21,528 просмотров • 4 месяцев назад

🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f
0:43

🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f

Anderson Mancini

23,984 просмотров • 2 месяцев назад

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless
0:57

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless

Om Patel

123,234 просмотров • 4 месяцев назад

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:
1:10

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:

ZEUS⚡️

50,596 просмотров • 2 месяцев назад

I make games, and one of the hardest part is always the world. A map that feels real, coherent, alive. So I'm introducing Bmap. Draw a box anywhere on Earth, and it rebuilds that place as a clean 3D world: terrain, every street and building, the coast, the parks, the rivers. A real city, 1:1, in your browser, in seconds. But the map is just the first piece. Real cities are already the perfect game maps, the layout, the density, the logic of a place that actually works. Bmap's mission is to unlock them: take any real place and turn it into a living world you can shape and play in. The generator is live today. Where it goes next is the part I'm most excited about. 👀 It's free. Everyone who joined the waitlist is already in. New here? Sign in too and you're on the list, I'm opening the rest in waves. Building in public. Come watch real cities become worlds. →
1:16

I make games, and one of the hardest part is always the world. A map that feels real, coherent, alive. So I'm introducing Bmap. Draw a box anywhere on Earth, and it rebuilds that place as a clean 3D world: terrain, every street and building, the coast, the parks, the rivers. A real city, 1:1, in your browser, in seconds. But the map is just the first piece. Real cities are already the perfect game maps, the layout, the density, the logic of a place that actually works. Bmap's mission is to unlock them: take any real place and turn it into a living world you can shape and play in. The generator is live today. Where it goes next is the part I'm most excited about. 👀 It's free. Everyone who joined the waitlist is already in. New here? Sign in too and you're on the list, I'm opening the rest in waves. Building in public. Come watch real cities become worlds. →

Playda

15,163 просмотров • 2 месяцев назад

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.
1:38

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.

Guri Singh

2,967,409 просмотров • 5 месяцев назад

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓
0:58

I plugged ChatGPT Luna 5.6 and Claude Opus 5 into Blender through MCP, and one of them is one-shotting entire 3D scenes now. Top is Luna 5.6 in fast mode modeling ship cannons with a firing animation. Watching the scene grow mesh by mesh in real time is a separate kind of dopamine. Bottom is Opus 5 building a full carriage scene with terrain, rocks and lighting. This one is simply built for 3D -- the whole thing from a single prompt with zero retries and zero corrections. The entire bridge is one open-source repo, no Python and no modeling skills required: > The repo is with 16.9k stars under MIT license. > It works with any model -- Claude, GPT, Cursor, any MCP client. > The model sees your scene through a live socket and edits it in real time. A year ago this workflow didn't exist, and now the gap between an idea and a rendered 3D scene is one prompt. Save this one -- you will come back for the repo ↓

slash1s

150,102 просмотров • 1 месяц назад

In our research lab, we are building “real-time dreaming” - the ability to generate fully playable video worlds prompted from any text or image. Our real-time, action conditioned world model (currently running internally at 16fps at 832x480p) is trained on a combination of data, including proprietary Roblox 3D avatar/world interaction data. World models are different from multiplayer engines in that they store state and memory in video latents. Roblox is multiplayer, and we are actively researching optimal ways to simultaneously store state for thousands of players, and keep them in sync with their environment. Our world model leverages database technology which stores all user interactions on Roblox in a vector format that can be used to re-render video and interaction from any camera angle. We see several immediate uses for our Roblox world model. We will use it side-by-side text, image and video prompts as a way to launch auto-generation of immersive worlds. In Roblox Studio, a creator could walk around and use prompts to “paint” a world and then convert it into a 3D representation or direct to Roblox native as a way for many people to play simultaneously. All of this comes alive as we explore the notion of a “Dream Theater” - where one user is dreaming, while others watch and prompt them. 2/4
1:17

In our research lab, we are building “real-time dreaming” - the ability to generate fully playable video worlds prompted from any text or image. Our real-time, action conditioned world model (currently running internally at 16fps at 832x480p) is trained on a combination of data, including proprietary Roblox 3D avatar/world interaction data. World models are different from multiplayer engines in that they store state and memory in video latents. Roblox is multiplayer, and we are actively researching optimal ways to simultaneously store state for thousands of players, and keep them in sync with their environment. Our world model leverages database technology which stores all user interactions on Roblox in a vector format that can be used to re-render video and interaction from any camera angle. We see several immediate uses for our Roblox world model. We will use it side-by-side text, image and video prompts as a way to launch auto-generation of immersive worlds. In Roblox Studio, a creator could walk around and use prompts to “paint” a world and then convert it into a 3D representation or direct to Roblox native as a way for many people to play simultaneously. All of this comes alive as we explore the notion of a “Dream Theater” - where one user is dreaming, while others watch and prompt them. 2/4

Roblox

4,405,773 просмотров • 7 месяцев назад

Two new #threejs projects on the way 😍 Working on my own gem renderer with a custom refraction material in TSL for #WebGPU, combining Screen Space Reflections + SSGTAO for superior results, as this allows diamonds to generate reflections on the metal mesh. The performance is incredible, even on gems with over 200 diamonds. This time, without any additional libraries. Just React Three Fiber and a lot of magic with custom shaders in TSL. GemGPU™ will also come with a very minimalist gem and metal customization panel that hides and lets the jewelry be the star. I also created a beautiful new stats panel that completely hides in the scene when not needed. It provides relevant optimization information, a performance gauge, summary and expanded modes, and day/night toggle. In the video, you can also see SSGI in action, with a pearl that reflects, in real time, all the objects in the scene, just as the objects in the scene reflect the pearl. It's magical. There are still a few things to fix, but I'll share the live link soon. Stay tuned.
3:43

Two new #threejs projects on the way 😍 Working on my own gem renderer with a custom refraction material in TSL for #WebGPU, combining Screen Space Reflections + SSGTAO for superior results, as this allows diamonds to generate reflections on the metal mesh. The performance is incredible, even on gems with over 200 diamonds. This time, without any additional libraries. Just React Three Fiber and a lot of magic with custom shaders in TSL. GemGPU™ will also come with a very minimalist gem and metal customization panel that hides and lets the jewelry be the star. I also created a beautiful new stats panel that completely hides in the scene when not needed. It provides relevant optimization information, a performance gauge, summary and expanded modes, and day/night toggle. In the video, you can also see SSGI in action, with a pearl that reflects, in real time, all the objects in the scene, just as the objects in the scene reflect the pearl. It's magical. There are still a few things to fix, but I'll share the live link soon. Stay tuned.

Anderson Mancini

12,113 просмотров • 6 месяцев назад

We’re on the verge of interactive, real-time, photorealistic video generation with what are called World Models. These require a fair amount of expensive compute, but costs will come down over time. Today, these interactions are essentially real-time dreams. They lack the persistence and shared logic that turns a video into a multiplayer game. Or concert. Or classroom. Or the holodeck. We believe the ultimate architecture for gaming (and the holodeck) is Roblox Reality. It’s a hybrid architecture that marries the structured data and logic of the Roblox Engine and Roblox Cloud with the generative power of Video World Models. The Roblox Engine provides the underlying synchronized ground truth—the score, physics, multiplayer sync, etc.—while our video model acts as a Super Upsampler to layer on photorealistic detail. We believe this will ultimately remove barriers to high-fidelity creation, allowing a team of three people to build a narrative-driven, photorealistic masterpiece in a single week. This is an early look at turning solitary AI dreams into a social, playable reality.
0:31

We’re on the verge of interactive, real-time, photorealistic video generation with what are called World Models. These require a fair amount of expensive compute, but costs will come down over time. Today, these interactions are essentially real-time dreams. They lack the persistence and shared logic that turns a video into a multiplayer game. Or concert. Or classroom. Or the holodeck. We believe the ultimate architecture for gaming (and the holodeck) is Roblox Reality. It’s a hybrid architecture that marries the structured data and logic of the Roblox Engine and Roblox Cloud with the generative power of Video World Models. The Roblox Engine provides the underlying synchronized ground truth—the score, physics, multiplayer sync, etc.—while our video model acts as a Super Upsampler to layer on photorealistic detail. We believe this will ultimately remove barriers to high-fidelity creation, allowing a team of three people to build a narrative-driven, photorealistic masterpiece in a single week. This is an early look at turning solitary AI dreams into a social, playable reality.

David Baszucki

786,566 просмотров • 4 месяцев назад

Microsoft's Fairwater Wisconsin went live today, ahead of schedule. It's the world's most powerful AI data center. Hundreds of thousands of NVIDIA GB200 GPUs, wired to behave as a single computer. The physical build is biblical. 315 acres. 1.2 million square feet across three buildings. 26.5 million pounds of steel. 46.6 miles of foundation piles. 120 miles of underground cable. The storage wing alone runs the length of five football fields. Each rack holds 72 GPUs sharing 14 terabytes of pooled memory, pushing 865,000 tokens per second. One rack generates more text per second than you've written in your entire life. Fairwater holds thousands of racks. The speed of light became a real bottleneck. Cable lengths between racks were introducing latency that slowed training. Microsoft's fix was a two-story layout so racks sit directly above and below each other. We are now architecting around special relativity to train AI. The power numbers are where it gets surreal. Phase 1 pulls 400 megawatts. Full build-out approaches 900 megawatts. Roughly a nuclear reactor, feeding one computer. The grid draw equals 300,000 homes. Fairwater Wisconsin is only the first. Atlanta is already online. Norway and the UK are next. Microsoft is stringing them together over 120,000 miles of dedicated fiber into one AI superfactory with 2+ gigawatts of total capacity. The buildings outlast the chips. GB200 gets swapped for GB300, then Rubin. The cells are modular. Microsoft's real bet is on the real estate, the power hookups, and the fiber. AI progress is now gated by concrete and megawatts.
0:21

Microsoft's Fairwater Wisconsin went live today, ahead of schedule. It's the world's most powerful AI data center. Hundreds of thousands of NVIDIA GB200 GPUs, wired to behave as a single computer. The physical build is biblical. 315 acres. 1.2 million square feet across three buildings. 26.5 million pounds of steel. 46.6 miles of foundation piles. 120 miles of underground cable. The storage wing alone runs the length of five football fields. Each rack holds 72 GPUs sharing 14 terabytes of pooled memory, pushing 865,000 tokens per second. One rack generates more text per second than you've written in your entire life. Fairwater holds thousands of racks. The speed of light became a real bottleneck. Cable lengths between racks were introducing latency that slowed training. Microsoft's fix was a two-story layout so racks sit directly above and below each other. We are now architecting around special relativity to train AI. The power numbers are where it gets surreal. Phase 1 pulls 400 megawatts. Full build-out approaches 900 megawatts. Roughly a nuclear reactor, feeding one computer. The grid draw equals 300,000 homes. Fairwater Wisconsin is only the first. Atlanta is already online. Norway and the UK are next. Microsoft is stringing them together over 120,000 miles of dedicated fiber into one AI superfactory with 2+ gigawatts of total capacity. The buildings outlast the chips. GB200 gets swapped for GB300, then Rubin. The cells are modular. Microsoft's real bet is on the real estate, the power hookups, and the fiber. AI progress is now gated by concrete and megawatts.

Aakash Gupta

382,622 просмотров • 4 месяцев назад

GeoLibre v2.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre
0:48

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

Qiusheng Wu

293,227 просмотров • 1 месяц назад

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:
1:40

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:

The Bugged Dev

98,323 просмотров • 2 месяцев назад

A very prominent African shared this video with me and joked, “…this is the best illustration of your people.” It is true that the real danger is not the fire; it is the blind obedience by the sheep. The real danger is no longer ZANUPF as far as the world is now concerned, it is the blind obedience we give it daily and our inability to see a way out of this mess. The same way these sheep are hopelessly made to go around a fire is the same way ZANUPF, and indeed the opposition, treats you. They throw out any useless idea, and you all run with it, regardless of how stupid it is. ZANUPF will tell you that sanctions have destroyed Zimbabwe, even as you witness their daily looting, and some fool will run with that cheap sanctions propaganda even when presented with figures of looted funds. Opposition supporters will be told that this time they do not need a constitution or structures, and they will still run with such a crazy idea, believing it will work. The real danger is the people’s inability to think for themselves and ask the right questions, instead of being shepherded into stupidity like sheep. A real man or woman doesn’t feel pity for being stupid when they find out, they fix the problem that created that stupidity and move on! They don’t defend being stupid, they realise their mistakes and remove the stupidity and become better people! Every Zimbabwean is a legitimate victim of shame due to the stupidity that has engulfed our country. Regardless of whether you drive a Bentley, are a professor, or an award-winning journalist, lawyer or doctor, as long as you are Zimbabwean, you carry the stain of the political stupidity that has come to define our country. Stupid people defend their stupidity; smart people realise they are in stupidity terrain and move away. What are you? What are we?
1:34

A very prominent African shared this video with me and joked, “…this is the best illustration of your people.” It is true that the real danger is not the fire; it is the blind obedience by the sheep. The real danger is no longer ZANUPF as far as the world is now concerned, it is the blind obedience we give it daily and our inability to see a way out of this mess. The same way these sheep are hopelessly made to go around a fire is the same way ZANUPF, and indeed the opposition, treats you. They throw out any useless idea, and you all run with it, regardless of how stupid it is. ZANUPF will tell you that sanctions have destroyed Zimbabwe, even as you witness their daily looting, and some fool will run with that cheap sanctions propaganda even when presented with figures of looted funds. Opposition supporters will be told that this time they do not need a constitution or structures, and they will still run with such a crazy idea, believing it will work. The real danger is the people’s inability to think for themselves and ask the right questions, instead of being shepherded into stupidity like sheep. A real man or woman doesn’t feel pity for being stupid when they find out, they fix the problem that created that stupidity and move on! They don’t defend being stupid, they realise their mistakes and remove the stupidity and become better people! Every Zimbabwean is a legitimate victim of shame due to the stupidity that has engulfed our country. Regardless of whether you drive a Bentley, are a professor, or an award-winning journalist, lawyer or doctor, as long as you are Zimbabwean, you carry the stain of the political stupidity that has come to define our country. Stupid people defend their stupidity; smart people realise they are in stupidity terrain and move away. What are you? What are we?

Hopewell Chin’ono

113,719 просмотров • 1 год назад

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!
1:33

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Sharpe AI

263,303 просмотров • 1 год назад

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev
7:21

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

Ibrahim Boona

58,625 просмотров • 5 месяцев назад

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!
0:53

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

87,048 просмотров • 3 месяцев назад

GeoLibre v2.4.0 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 is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre
1:04

GeoLibre v2.4.0 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 is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre

Qiusheng Wu

14,268 просмотров • 1 месяц назад