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

A/B test sample size calculator which uses a two-tailed sequential likelihood ratio test with false discovery rate controls to calculate statistical significance.

g-test algorithm to compute statistical significance

Calculate statistical significance (z-test), for e.g. polls.

Test Raptor results for statistical significance

SEO A/B testing CLI — measure the real impact of changes with Google Search Console data and statistical significance.

CLI tool for calculating statistical significance

Simple library for handling statistical significance with mulitple variations in an A/B test.

Record a sample and compute its statistical significance

A framework forcing evidence-based claims via statistical significance + effect size + practical threshold

API benchmarking with A/B comparison and statistical significance testing

Statistical Library for JavaScript

A/B testing framework for LLM prompts with statistical significance testing

AntV upper level visual component library

A/B Test Calculator MCP App Server with statistical significance analysis

Octo A/B testing framework — experiment definition, traffic allocation, event tracking, and statistical significance

Pure functions for core marketing metrics: ad performance (CTR/CPC/CPM/CPA/CR), ROMI/ROAS, social engagement (ER/ERR), and A/B incrementality testing with statistical significance. Zero dependencies.

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

CLI micro- and macro-benchmarking for Node, Deno, and Bun — hot loops, ms-scale operations, and whole commands — with nonparametric statistics and significance testing.

Local Indicators of Spatial Association module for GeoDaLib