# VictorTaelin/WebMonkeys

Massively parallel GPU programming on JavaScript, simple and clean.

Repository: https://github.com/VictorTaelin/WebMonkeys
Canonical: https://ross.abutalabs.com/products/webmonkeys
Language: JavaScript
License: MIT
License Family: permissive
Topics: hacktoberfest
Last push: 2023-06-09T21:41:38+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3666, "days_push": 1181, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1444, forks 53 (observed 2026-08-28T04:04:45.026202+00:00)

## What it is
A JavaScript library that lets you spawn thousands of parallel tasks on the GPU through a minimal set/get/work API, using GLSL 1.0 without requiring WebGL extensions. It works both in the browser (with browserify) and in Node.js.

## Use cases
- run massively parallel computations on the gpu from javascript
- square or transform large arrays in parallel
- prototype gpu algorithms without learning webgl
- mine cryptocurrency hashes on the gpu
- do vector and matrix math in parallel in node
- offload cpu-heavy number crunching to the gpu

## When to choose
- you want the simplest possible gpu programming api in javascript
- you need parallel array processing in the browser or node without webgl boilerplate
- you're prototyping gpu algorithms with glsl

## When to avoid
- you need modern gpu features like compute shaders or webgpu
- you need high-performance production gpgpu with fine control over memory and kernels
- your workload is small enough that gpu transfer overhead outweighs gains

## Facets
- artifact type: library
- maturity: maintenance
- function: gpu-computing, concurrency, developer-tools
- domain: developer-tools, gpu-computing
- platform: browser
- tags: gpgpu, webgl, parallel-computing, glsl, algorithms, nodejs, javascript

## Member repositories
- VictorTaelin/WebMonkeys (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.026202+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 2026-08-30T04:36:16.973166+00:00, confidence not recorded.
  - readme: https://github.com/VictorTaelin/WebMonkeys (fetched 2026-08-28T04:04:45.026202+00:00, sha 70e3328307e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.