# turbo/js

turbo.js - perform massive parallel computations in your browser with GPGPU.

Repository: https://github.com/turbo/js
Canonical: https://ross.abutalabs.com/products/turbo-js
Homepage: https://turbo.js.org
Language: JavaScript
License: MIT
License Family: permissive
Topics: glsl, gpu, vector, simd, calculations, shaders, gpgpu, parallel
Archived: true
Last push: 2019-08-11T13:12:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3590, "days_push": 2579, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2654, forks 265 (observed 2026-08-28T04:07:07.232946+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: gpu-computing, math, developer-tools
- domain: gpu-computing, web-development, performance
- platform: browser
- tags: gpgpu, glsl, webgl, parallel-computing, simd, shaders, float32array, algorithms, javascript, nodejs

## Member repositories
- turbo/js (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:07.232946+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:18:39.171183+00:00, confidence not recorded.
  - readme: https://github.com/turbo/js (fetched 2026-08-28T04:07:07.232946+00:00, sha b83d92461001)
  - homepage: https://turbo.js.org (fetched 2026-08-29T10:01:40.404788+00:00, sha 15e18d562bb4)
- Data as of 2026-08-30T08:39:29.467469+00:00.