#Ab-testing
Showing 31 of 31 repositories tagged #ab-testing, ranked by stars
π¦ PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
Open Source Feature Flags, Experimentation, and Product Analytics
Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)
Kubernetes deployment strategies explained
Flagr is a feature flagging, A/B testing and dynamic configuration microservice
Enterprise-grade feature flag platform that you can self-host. Get started - free.
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
Feature flags, experiments, and remote config management with version control
A GitOps recipe for Progressive Delivery with Flux v2, Flagger and Istio
Feature Flag Management and A/B Testing platform
Tweek - an open source feature manager
A Python package for the statistical analysis of A/B tests
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.
Fast and customizable framework for automatic and quick Causal Inference in Python
j8a [ dΚΚbbΚ ] is a modern TLS 1.3 reverse proxy server designed as a lightweight API gateway for REST APIs.
Rank images using TrueSkill by comparing them against each other in the browser. πΌπ
Feature flags for multi-module Kotlin Android projects
π¦ Type-safe Firebase-RemoteConfig helper library π¦
ππ Lets Python do AB testing analysis.
Machine learning based causal inference/uplift in Python
Transparent, robust and trustworthy A/B experimentation for Shopping feeds.
Step-by-step causal inference β method selection, assumptions, and robustness checks
LLM orchestration toolkit for agent workflows: planner + workers + synthesis, optional router (LLM + learned fallback), supports OpenAI/Anthropic/Ollama/llama.cpp, real scraping with caching, MCP server integration, and a TUI chat UI.
Data analysis workflow kit for AI coding agents. Structure your analysis with the ALIVE loop β Ask, Look, Investigate, Voice, Evolve.
Cloud-Native Feature Management & A/B Testing Platform (WIP) δΊεηη A/B ζ΅θ―εΉ³ε°
Blue / Green Deployments for Cloudflare Workers
[Archived] - Merged and move to https://github.com/openflagr/flagr
A simple to use AB testing framework that lets anyone perform bayesian data analysis
Statistical Analysis: Project with A/B testing and Machine Learning methodologies
Prompt Booster: A comprehensive tool for optimizing LLM prompts with version control, A/B testing, and template management. Supports multiple AI providers (OpenAI, Gemini, DeepSeek, Qwen, etc.) across web and desktop platforms. Increase your AI prompt effectiveness with professional engineering tools.
Long-form article introducing Decision Safety: a trust gate between dashboards and actions. Defines four pillars (coverage, freshness, stability, measurement risk), proposes a Decision Safety Score (0β100), shows common failure modes, and includes a copy-paste βDecision Safety Contractβ+checklist to block unsafe decisions without hiding dashboards.