A rule engine extension for A/B and multivariate testing.

Expectation maximization using multivariate gaussian distribution library - clustering lib

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Feature flagging, A/B and multivariate testing for redux.

lit-element elements for multivariate analysis (depend on crossfilter, universe, reductio, multichart and multiverse)

Library for solving multivariate equations from simpler relations between variables.

Radviz visualization for multivariate data

Cubic spline approximation (smoothing) for Node.js and the browser. A dependency-free TypeScript port of the Python csaps library — univariate, multivariate and N-D gridded data smoothing.

polymer elements for multivariate analysis (depend on crossfilter, universe, reductio, multi-geo and multi-chart)

Fast multidimensional filtering for coordinated views.

Official Node.js SDK for FlagWithMe - A powerful feature flag management system with support for boolean, string, number, JSON, and multivariate flags

PostHog adapter for mab-kit: read exposure/conversion stats via HogQL and drive multivariate feature-flag rollout with Thompson Sampling

TensorFlow Data API in JavaScript

Port of NumPy's random.multivariate_normal to Node.JS

<LogoRadarChart/> a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point.

## Installation

Feature flags as a Convex component — variants, targeting, percentage rollouts, and per-subject overrides, evaluated on the backend and streamed live to clients.

Exploratory Data Analysis Tools

JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.

Fast multidimensional filtering for coordinated views.