Alternatives
Products that do what ChartGPU – WebGPU-powered charting library (1M points at 60fps) does
Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…
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Hi HN, I built ChartGPU because existing webgpu libraries are paid-for libraries like Scichart. F that. Keep it, I'll just build my own and make it open source :) The problem: I needed to visualize 1M+ data points for [your use case]. ECharts, Chart.js, and others dropped to single-digit FPS. The solution: Built a charting library from scratch using WebGPU. Key features: - Line, area, bar, scatter, pie charts - LTTB downsampling on GPU - Real-time streaming support - ECharts-style declarative API - React wrapper included Live demo: https://chartgpu.github.io/ChartGPU/…
Jan 2026 · github.com
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Have you ever lost your mind at Desmos or Geogebra for occasionally being so god-damn slow and laggy? I have and, as a result, decided to make my own, GPU-accelerated (webgl2) graph plotter that renders equations, shaded plots, etc. with butter-smooth framerates. Equations we are used to think as unplottable (with usable real-time performance), like for example `e ^ (sin(x) * x ^ 2 * cos(y)) = cos(e ^ (x * y))`, will render just as smoothly [0] as something simple, like `y = x ^ 2`. Goals: * Rendering (almost) any equation without performance problems * Enabling acquiring new insights from…
2023 · kaapporaivio.fi
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Jul 2026 · github.com
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GitHub: https://github.com/Sportinger/MasterSelects I built this Browser-based video compositor with a GPU-first architecture. No Canvas 2D in the rendering path — video textures go in as texture_external (zero-copy), compositing runs through a ping-pong WGSL shader pipeline, and export captures frames directly from the GPU canvas via WebCodecs. 39 GPU effects, 37 blend modes, nested compositions, keyframe animation with bezier curves, vector masks, 10-band live EQ, video scopes, and AI-driven editing via GPT function calling. 13 production dependencies. The compositor,…
Feb 2026 · masterselects.com
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2020 · blog.scottlogic.com
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2016 · github.com
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Grant Sanderson (3Blue1Brown) created Manim, the Python library he uses to make the math animations in his videos. We reimplemented Manim with the same Python API, but the implementation underneath is Rust, connected to Python through PyO3. The Rust code uses wgpu, so rendering happens on the GPU. To run it in the browser, we compiled the Rust parts to WebAssembly so the PyO3 extension loads in Pyodide. In the browser, wgpu targets the WebGPU API, so animations render in real time on your GPU through the browser. The editor is Monaco (the editor that powers VS Code) with a live preview:…
Jul 2026 · studio.academa.ai
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It's annoying having so many ML and GS training tools rely exclusively on cuda/nvidia . So for our open-source command-line gaussian splat converter/compressor, we decided to try WebGPU instead. It's working well so far and a single codebase runs on Linux, MacOS and Windows without too much fuss. This is mostly thanks to Google's dawn project <3. Eventually some of this could also run directly in the browser.
Sep 2025 · github.com
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Tabs, splits, and tmux work fine until you have several projects open with logs, tests, and long-running shells. I kept rebuilding context instead of resuming work. Horizon puts shells on an infinite canvas. You can arrange them into workspaces and reopen later with layout, scrollback, and history intact. Built in 3 days with Claude/Codex, dogfooding the workflow as I went. Feedback and contributions welcome.
Mar 2026 · github.com
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2021 · github.com
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Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
Jul 2026 · getcomputable.com
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Hi HN, I built PantheonGPU because I wanted a better way to answer a simple question: is this GPU actually healthy and performing the way it should? A GPU can show normal temperatures and utilization and still be underperforming, unstable under certain workloads, or have memory, PCIe, or configuration issues. PantheonGPU actively tests the GPU instead of only monitoring telemetry. It currently includes 45+ tests covering compute, tensor workloads, memory, cache, PCIe, thermals, stability, and AI/LLM inference. It supports both NVIDIA CUDA and AMD ROCm. I’m also exploring a larger use…
19d ago · pantheongpu.com
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Hi HN, I’ve been working on Zephyr3D, an open-source 3D rendering engine for the modern web, plus a visual editor that runs entirely in the browser. - Written in TypeScript - Supports WebGL/WebGL2/WebGPU - Comes with a visual editor that runs in the browser (no installation required) With the recent updates, a few things might be interesting to people here: Engine & rendering ------------------ - WebGL/WebGPU abstraction with a TypeScript API - PBR rendering - Cluster lighting & Shadow Maps - Clipmap-based terrain for large landscapes - Sky Atmosphere & Height-based fog - FFT…
Nov 2025 · zephyr3d.org
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2019 · github.com
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Mar 2026 · github.com
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