Superposition is a context-based configuration management system designed to facilitate safe and flexible rollout of config changes
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Updated
Nov 5, 2026 - Rust
Superposition is a context-based configuration management system designed to facilitate safe and flexible rollout of config changes
ML Experimentation Platform
Specialized Python research application for conducting child trust assessment experiments with stimulus presentation and automated data logging.
Polyglot advertising experimentation fabric for creative analysis, cross-platform A/B testing, and multi-agent ad operations.
This project focuses on Exploratory Data Analysis (EDA) and Uplift Modeling to predict customer response to marketing campaigns.
Experimentation and causal inference platform for product decision systems, implementing A/B testing, CUPED variance reduction, and Difference-in-Differences analysis with reproducible pipelines.
REX Platform is a feature flag and experimentation service that propagates flag changes to connected clients over WebSockets in milliseconds, advances staged rollouts automatically while watching error rates, and refuses to declare an A/B test winner until the data passes both a significance test and a sample size gate.
Causal bandit orchestration platform for real-time adaptive experimentation, sequential testing, and interference-aware decisioning.
A platform to arrive to the best Qdrant configuration for your particular workload.
ExperimentIQ — full-stack A/B testing platform (FastAPI + React) with real statistical rigor: Sample Ratio Mismatch detection, guardrail metrics, and pluggable AI-generated insights.
A production-grade Python and Power BI experimentation platform designed to evaluate A/B tests, detect hidden segment friction, quantify novelty decay, and prevent costly deployment failures
The iteration stack for AI-native Growth teams. Open-source platform for rapid experimentation — pluggable data sources, configurable workflows, and a multi-agent engine that compresses the loop from weeks to hours
Open-source A/B testing and feature flags that you run yourself: frequentist, sequential and Bayesian statistics, CUPED, holdouts. Apache-2.0.
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