Open Source Feature Flagging and A/B Testing Platform

Contributor tools and guides for fluentui charting library

GO Feature Flag is a simple, complete and lightweight self-hosted feature flag solution 100% Open Source. 🎛️

Collection of end-to-end data science projects showcasing real-world analysis, modeling, and MLOps practices

A thought-provoking article exploring how to think like a data scientist, without writing a single line of code. Covers the mental framework behind curiosity, structured reasoning, hypothesis testing, and data-driven storytelling, helping readers build analytical intuition beyond tools or syntax.

Educational tool, a virtual laboratory for modelling and simulation of dynamical systems using the Stock and Flow methodology

🧪⚡ Lightweight, hackable multi-agent orchestration lab. YAML configs, CLI + Python API, 10 presets, transcripts, checkpoints. Perfect for LLM experiments!

RapidFire AI: Rapid Experimentation Engine for Customizing LLMs

Feature flags, experiments, and remote config management with version control

Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.

👹 YETi: The abominable snowman of YouTube A/B testing - statistically significant, AI-powered, and surprisingly friendly.

ReSimHub is a scalable research-grade backend framework providing REST + async APIs for reinforcement learning (RL) experimentation, simulation environments, training orchestration, and benchmarking.

Create your own study by cloning and editing configs; or check out the code behind the study components.

A/B test lift simulation & analysis in Python: CUPED variance reduction, power analysis, and guardrail metrics with reproducible pytest CI.

This app shows the use of bayesian statistics for AB Testing using the beta distribution.

GraphRAG-powered Small Language Model for experimentation and statistical analysis Q&A

Android SDK client for Split Software

Modern A/B experimentation utilities: CUPED/CUPAC hooks, triggered analysis, SRM, switchback helpers, and power sims.

A multi-rail prototyping board with microcontroller management.

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.