ChartGPU – WebGPU charting library, 1M+ points at 60fps
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/…
What it does
In the maker’s words, at launch
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/ npm: https://www.npmjs.com/package/chartgpu WebGPU requires Chrome 113+ or Edge 113+. No Safari yet. Would love feedback on the API design and what chart types to prioritize next.
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