Experimentation
Showing 15 of 15 projects
An all-in-one open-source platform for product analytics, feature flags, session replay, experiments, and more to help build successful products.
A Ruby library for carefully refactoring critical paths by comparing old and new code behavior in production.
A programmer's guide to baking bread using A/B testing and iterative methodologies to master the craft.
A Rack-based A/B testing framework for Ruby web applications, designed to work with Rails, Sinatra, or any Rack-based app.
Flagr is an open-source Go microservice for feature flagging, A/B testing, and dynamic configuration.
A CLI-driven toolkit for writing and running Chaos Engineering experiments across any platform via extensions.
A .NET library for safely refactoring critical code paths by comparing old and new implementations in production.
A CLI tool to try Node.js modules instantly without adding them to your project dependencies.
A lightweight mobile A/B testing framework for iOS and Android apps, enabling remote feature control and user segmentation.
A scalable A/B testing backend using AWS Lambda and Redis HyperLogLog for cost-effective, privacy-conscious experimentation.
A React Native component library for implementing A/B tests with experiment and variant components.
A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.
A lightweight, pure Swift library for implementing A/B and split testing in iOS apps without requiring an HTTP client.
A Docker container providing a complete streaming environment for experimenting with Kafka, Spark Streaming, and Cassandra.
A Clojure library for building and training neural networks with support for various architectures and learning algorithms.
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