turbo/js

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

2654 stars · 265 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

turbo.js is a small JavaScript library for GPGPU computing in the browser, letting you run parallel kernels written in GLSL over large Float32Array datasets on the GPU. It exposes a minimal API (alloc/run) and works across browsers and desktop/mobile GPUs.

Use cases

• run parallel math computations on large arrays in the browser
• offload number-crunching to the GPU from JavaScript
• compute Mandelbrot or other per-element kernels with WebGL
• process millions of floats in parallel client-side
• write GLSL kernels callable from JavaScript

When to choose

• you need massively parallel element-wise computation on large float arrays in a browser
• you want a tiny dependency with a simple alloc/run API instead of a full WebGL framework
• your workload fits GPU parallelism and typed-array data transfer overhead is acceptable

When to avoid

• you need general-purpose GPU APIs like compute shaders, WebGPU, or CUDA features
• your data is small or irregular, so GPU transfer overhead outweighs gains
• you need active maintenance - the project has had no release since 2019
• you need integer, double-precision, or non-float32 data types

Facets

library · maturity maintenance

gpu-computing math developer-tools gpu-computing web-development performance browser gpgpu glsl webgl parallel-computing simd shaders float32array algorithms javascript nodejs

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