# nicolaspanel/numjs

Like NumPy, in JavaScript

Repository: https://github.com/nicolaspanel/numjs
Canonical: https://ross.abutalabs.com/products/numjs
Language: JavaScript
License: MIT
License Family: permissive
Topics: linear-algebra, ndarray, javascript, nodejs
Last push: 2024-05-31T01:46:40+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": 3854, "days_push": 825, "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 2450, forks 180 (observed 2026-08-28T04:06:52.908711+00:00)

## What it is
NumJs is a JavaScript library for scientific computing that provides an N-dimensional array object, linear algebra functions, FFT, and basic image processing, modeled after NumPy. It runs in both Node.js and the browser.

## Use cases
- do numpy-style array math in javascript
- perform linear algebra in nodejs
- manipulate images in the browser with ndarrays
- compute fast fourier transforms in javascript
- store and slice multidimensional data in js

## When to choose
- you need NumPy-like N-dimensional arrays in JavaScript or Node.js
- you want lightweight linear algebra, FFT, or image array manipulation in the browser

## When to avoid
- you need GPU-accelerated or high-performance tensor computation
- you need an actively developed ecosystem with deep learning support
- you are in Python and can use NumPy directly

## Facets
- artifact type: library
- maturity: maintenance
- function: math, image-processing, data-science
- domain: data-science, web-development
- platform: browser
- tags: ndarray, linear-algebra, numpy-like, scientific-computing, fft, typed-arrays, algorithms, nodejs, javascript

## Member repositories
- nicolaspanel/numjs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:52.908711+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 2026-08-30T02:30:13.757942+00:00, confidence not recorded.
  - readme: https://github.com/nicolaspanel/numjs (fetched 2026-08-28T04:06:52.908711+00:00, sha b3a55c0c5aef)
  - registry_npm: https://registry.npmjs.org/numjs (fetched 2026-08-29T10:11:39.706033+00:00, sha f5a578b2e3f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.