stdlib-js/stdlib
✨ The fundamental numerical library for JavaScript and TypeScript. ✨ observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 87
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 3814
- days_rel: 88
- days_push: 7
- n_releases_24m: 4
Adoption not part of the score
5943 stars · 1247 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
stdlib is a standard library for JavaScript and TypeScript with an emphasis on numerical and scientific computing, providing math, statistics, probability distributions, PRNGs, plotting, and general utilities. It runs in browsers and Node.js, is fully decomposable into individual packages, and includes a REPL, benchmark framework, and extensive documentation.
Use cases
- compute statistics and math functions in JavaScript
- evaluate probability distributions and PDFs/CDFs in Node.js
- generate random numbers with seedable PRNGs
- plot data for exploratory analysis in the browser
- validate and transform data with assertion utilities
- do scientific computing on the web
- find a JavaScript equivalent to NumPy or R's stats functions
When to choose
- you need rigorous, well-tested numerical or statistical routines in JS/TS
- you want a batteries-included standard library for Node.js or browsers
- you need seedable PRNGs or many probability distributions
- you want to bundle scientific computing into a web app
When to avoid
- you need GPU-accelerated or massively parallel numerical computing
- your project is in Python, R, or another language with mature scientific stacks
- you only need one small utility and want a minimal dependency
Facets
library · maturity active
math data-science data-visualization benchmarking testing mathematics data-science developer-tools browser cross-platform standard-library statistics numerical-computing probability-distributions prng typescript blas repl scientific-computing algorithms nodejs javascript
6 sources
- readme: https://github.com/stdlib-js/stdlib · fetched 2026-08-28 · df67c3d4f5e4
- homepage: https://stdlib.io · fetched 2026-08-29 · f2cec8357e4f
- site_page: https://stdlib.io/docs/api/latest · fetched 2026-08-29 · 8da4f0bfc146
- site_page: https://stdlib.io/docs/api/latest/@stdlib/math · fetched 2026-08-29 · d48cc6f8af8e
- site_page: https://stdlib.io/docs/api/latest/@stdlib/plot · fetched 2026-08-29 · a029a7d450c1
- site_page: https://stdlib.io/docs/api/latest/@stdlib/utils · fetched 2026-08-29 · 33b836c5cd95
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| stdlib-js/stdlib | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="stdlib-js/stdlib")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem