🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.

Kubernetes deployment strategies explained

Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)

Open Source Feature Flagging and A/B Testing Platform

A GitOps recipe for Progressive Delivery with Flux v2, Flagger and Istio

📈 The Rack Based A/B testing framework

Flagr is a feature flagging, A/B testing and dynamic configuration microservice

Proctor is a Java-based A/B testing framework developed by, and used heavily within, Indeed.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A/B Testing — A complete guide to statistical testing

A feature flags service written in .NET

Kai Sheng Teh - Udacity Predictive Analytics for Business Nanodegree

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

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, Descri…

A JavaScript port of Facebook's PlanOut Experimentation Framework

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Tweek - an open source feature manager

Izanami is a centralized versatile feature flag solution, well suited for micro service architectures.

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Benchmarking and monitoring automation, designed for cloud, built with .NET.