{"library":"abbajs","type":"library","category":null,"description":"ABBA.js is a JavaScript library designed for statistical analysis relevant to A/B testing, including functions for normal and binomial distributions, and a utility for computing experiment results. It provides methods for density, cumulative distribution function (CDF), survival function, and inverse CDF for both normal and binomial distributions. Additionally, it offers an `Experiment` class to calculate proportion, relative improvement, and p-value for A/B test variations against a baseline. The package is currently at version 0.1.4, published in 2014, and appears to be abandoned, with no significant updates or active maintenance in over 7 years. Its core differentiator lies in offering common statistical distribution functions and A/B test result computation directly in JavaScript, without external dependencies, though its age makes it unsuitable for modern ESM-first environments.","language":"javascript","status":"abandoned","version":"0.1.4","tags":["javascript"],"last_verified":"Wed May 27","install":[{"cmd":"npm install abbajs","imports":["const Abba = require('abbajs');","const Abba = require('abbajs');\nconst normal = new Abba.NormalDistribution(mean, standardDeviation);","const Abba = require('abbajs');\nconst experiment = new Abba.Experiment(numVariations, baselineNumSuccesses, baselineNumTrials, intervalAlpha);"]},{"cmd":"yarn add abbajs","imports":[]},{"cmd":"pnpm add abbajs","imports":[]}],"homepage":null,"github":"https://github.com/thii/abbajs","docs":null,"changelog":null,"pypi":null,"npm":"https://www.npmjs.com/package/abbajs","openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"18–22","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/abbajs/compatibility"}}