* [ChartGPU v0.3.0](https://github.com/ChartGPU/ChartGPU) – WebGPU-based TypeScript charting library for high-performance, smooth interactive charts with large datasets.

* [TypeGPU v0.10.0](https://github.com/software-mansion/TypeGPU) – TypeScript library enhancing the WebGPU API for type-safe resource management.

* [SuperSplat v2.24.2](https://github.com/playcanvas/supersplat) – Browser-based tool for inspecting, editing, optimizing, and publishing 3D Gaussian Splats.

* [gogpu/ui v0.1.0](https://github.com/gogpu/ui) – Enterprise-grade GUI toolkit for Go with GPU-accelerated rendering, reactive state, widgets, and Flexbox+Grid layouts.

* [WebLLM v0.2.82](https://github.com/mlc-ai/web-llm) – High-performance in-browser LLM inference engine using WebGPU for hardware-accelerated, serverless model inference.

* [jax-js jax/v0.1.10](https://github.com/ekzhang/jax-js) – JAX-style machine learning library for browsers with WebGPU and WebAssembly backends.

* [Ripl v1.0.0-beta.2](https://github.com/andrewcourtice/ripl) – Unified API for 2D Canvas and SVG browser rendering focused on high-performance interactive data visualization.