jstat/jstat

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1806 stars · 248 forks observed · 2026-08-28

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

jStat is a JavaScript library providing native implementations of statistical functions, including many probability distributions (weibull, cauchy, poisson, hypergeometric, beta) with pdf, cdf, inverse, mean, variance, and sampling. It also offers linear algebra, statistical tests, and regression models, and works in both the browser and Node.js.

Use cases

• compute probability distribution pdf and cdf values in JavaScript
• calculate statistical tests like t-test in the browser
• run linear regression on a dataset in Node.js
• sample random values from a beta or poisson distribution
• compute mean, variance, and standard deviation of a dataset
• find inverse cdf / critical values for distributions

When to choose

• you need a broad set of statistical distributions and tests in JavaScript
• you want a lightweight, dependency-free stats library usable in the browser via CDN
• you need regression or linear algebra helpers alongside distribution functions

When to avoid

• you need high-performance numerical computing for large datasets (use Python/R instead)
• you need machine learning features beyond classical statistics
• you need TypeScript typings or modern ESM-first packaging

Facets

library · maturity stable

math data-science data-science web-development browser statistics probability-distributions regression linear-algebra nodejs javascript

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