ab-testing
There are 862 repositories under ab-testing topic.
PostHog/posthog
🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.
growthbook/growthbook
Open Source Feature Flagging and A/B Testing Platform
fluxcd/flagger
Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)
ContainerSolutions/k8s-deployment-strategies
Kubernetes deployment strategies explained
splitrb/split
:chart_with_upwards_trend: The Rack Based A/B testing framework
openflagr/flagr
Flagr is a feature flagging, A/B testing and dynamic configuration microservice
featbit/featbit
Enterprise-level feature flag platform that you can self-host. Get started - free.
stefanprodan/gitops-istio
A GitOps recipe for Progressive Delivery with Flux v2, Flagger and Istio
featurevisor/featurevisor
Feature flags, experiments, and remote config management with version control
dezoito/ollama-grid-search
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
indeedeng/proctor
Proctor is a Java-based A/B testing framework developed by, and used heavily within, Indeed.
olahol/react-ab
Simple declarative and universal A/B testing component for React.
Soluto/tweek
Tweek - an open source feature manager
zalando/expan
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
rawls238/react-experiments
React components for implementing UI experiments
dollarshaveclub/study
A simple, progressive, client/server AB testing library 📚
bucketeer-io/bucketeer
Feature Flag Management and A/B Testing platform
FrankPortman/bayesAB
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
rawls238/PlanOut.js
A JavaScript port of Facebook's PlanOut Experimentation Framework
30lm32/ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
e10v/tea-tasting
A Python package for the statistical analysis of A/B tests.
iter8-tools/iter8
Kubernetes release optimizer
MobileTeleSystems/Ambrosia
Ambrosia is a Python library for A/B tests design, split and result measurement
nuxt-community/google-optimize-module
SSR friendly Google Optimize module for Nuxt.js
doubaokun/node-ab
A command tool to test the performance of HTTP services.
switchfeat-com/switchfeat
SwitchFeat is an open source and self-hosted feature flags and A/B testing framework written in Nodejs, Typescript and React.
MAIF/izanami
Izanami is a centralized versatile feature flag solution, well suited for micro service architectures.
amatsuda/motorhead
A Rails Engine framework that helps safe and rapid feature prototyping
FrancescoCasalegno/AB-Testing
A/B Testing — A complete guide to statistical testing
xieliaing/Data_Science_Industrial_Practice
《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。
sharmaroshan/Statistics-for-Data-Science
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
Betterment/test_track
Server app for the TestTrack multi-platform split-testing and feature-gating system
ben182/laravel-ab
Laravel A/B experiment testing tool
torchbox/wagtail-experiments
A/B testing for Wagtail
abrouter/laravel-abtest
ABRouter Laravel AB test is a simple package for the base library to run ab-tests and feature flags via ABRouter with Laravel. Prepare and run your ab-test in 10 minutes. Easy to manage and run. Can be also used as a feature flag or feature toggle. Free cloud version available for free. Completely open-source.
sb-ai-lab/HypEx
Fast and customizable framework for automatic and quick Causal Inference in Python