Statistical Library for JavaScript

AntV upper level visual component library

Standard library statistical functions.

Adds a quality selector menu for HLS sources played in videojs.

High quality image resize in browser.

Enterprise-grade streaming multi-format data analysis with comprehensive statistical insights and intelligent relationship detection - supports CSV, JSON, Excel, TSV, Parquet - memory-efficient, cross-platform

The Maps component is used to visualize the geographical data and represent the statistical data of a particular geographical area on earth with user interactivity, and provides various customizing options

[](https://npmjs.org/package/esbuild-visualizer) [](https://travis-ci.com/btd/esbuild-visualizer)

Exposes a list of quality levels available for the source.

Statistical process control, process capability, Weibull reliability, change-point detection, measurement system analysis (Gage R&R), correlation, regression, distribution analysis, and hypothesis testing.

A reliable pseudo random number generator

Adds a quality selector menu for HLS sources played in videojs. Requires `videojs-contrib-hls` and videojs-contrib-quality-levels plugins.

Statistical Library for JavaScript

Role and Attribute based Access Control for Node.js

An open source scientific computing library for JS and TS developers

Npm module for calculating chi-square test that gives us p-value for statistical significance with practical use in A/B testing.

Calculate statistical regressions for two-dimensional data

A collection of statistical methods including mean, mode, median, range, variance, standard deviation, sum and product

Quickly calculate common statistics on lists of numbers

Non-inferiority testing, exact upper confidence bounds, anytime-valid confidence sequences, Holm family control. Zero runtime dependencies by design — every bound is auditable and the package is importable standalone.