Classify GPU's based on their benchmark score in order to provide an adaptive experience.
The luma.gl core Device API
[](https://www.npmjs.com/package/stats-gl) [](https://www.npmjs.com/package/st
KTX 2.0 (.ktx2) parser and serializer.
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
JupyterLab - Code Console
ONNXRuntime Node.js binding
llama addon for qvac
Path tracing renderer and utilities for three.js built on top of three-mesh-bvh.
GPU Accelerated JavaScript
A simple mocker for testing threaded development
API and CLI for compressing images using the ASTC, ETC, ETC2, BCn (DXTn) and BASIS texture compression standard.
WebGPU for node
Compressing images using the BC1 (DXT1), BC2 (DXT3), BC3 (DXT5), BC4, BC5 & BC7 texture compression standard.
Classify GPU's based on their benchmark score in order to provide an adaptive experience.
Compressing images using the Basis Universal Supercompressed GPU Texture Codec.
Javascript ICC Profile Color Engine with additional features for color management and analysis
**GPU accelerated image resizer**
[](https://www.npmjs.com/package/@wpro/magento)
Compressing images using the ETC & ETC2 texture compression standard.
WebGL performance monitor that showing percentage of GPU/CPU load
Minimal WebGPU shader library
A Javascript library for running ONNX models on browsers
Compressing images using the ASTC texture compression standard.
Shared CUDA/HIP C++ kernel sources for RLX GPU backends (NVRTC / hipRTC).
AMD ROCm/HIP backend — same .cu kernel sources as rlx-cuda, dispatched via HIP. Mac-iterable scaffold; real HIP runtime bindings are follow-up work.
NVIDIA CUDA backend — cuBLAS for matmul + NVRTC-compiled kernels for everything else, via the pure-Rust `cudarc` crate.