ChartGPU: Open-Source WebGPU-Based Charting Library for High-Performance Data Visualization
By
huntergemmer
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
ChartGPU is an open-source TypeScript charting library built on WebGPU technology that enables high-performance, interactive data visualization. It can render up to 50 million data points at 60 frames per second, making it ideal for real-time dashboards and large datasets. The library features a streaming multi-chart dashboard demo showing live charts with annotations, latency percentiles, throughput, error rates, and resource utilization all streaming simultaneously. The project includes documentation and cookbooks for developers to build their own high-performance charting applications.
Key quotes
· 5 pulledThe fastest open-source charting library — 50M points at 60 FPS.
ChartGPU is a TypeScript charting library built on WebGPU for smooth, interactive rendering—especially when you have lots of data.
Five live charts. Annotations ticking in real time. Latency percentiles, throughput, error rates, resource utilization — all streaming simultaneously at 60 FPS on a single shared GPUDevice.
This is what ChartGPU was built for.
Want to build your own? Check out the Multi-Chart Dashboard Cookbook for hands-on recipes and tips to get started!
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