
Hypertune
Type-safe feature flags platform with A/B testing, analytics, and app configuration optimized for TypeScript
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Feature flag management and A/B testing platform
Open-source platform for feature flags, A/B testing, and progressive rollouts. Reduce deployment risk and accelerate releases with Bayesian experimentation and trunk-based development workflows.

Bucketeer is a feature flag management and A/B testing platform created by CyberAgent that helps engineering teams make data-driven decisions while reducing deployment lead time and release risk. By decoupling deployment from release, teams can continuously ship code to production without exposing incomplete features to end users.
The platform supports dark launches, staged rollouts, and user segmentation based on attributes, devices, and custom segments. Its A/B testing engine leverages Bayesian algorithms to deliver faster results with smaller sample sizes compared to traditional Frequentist approaches, lowering experimentation costs while accelerating insights.
Bucketeer enables trunk-based development workflows by allowing developers to merge feature-flagged code directly to the main branch without merge conflicts or delayed QA cycles. This practice is essential for large teams maintaining a continuously releasable shared branch.
The platform provides native SDKs for client-side environments (Android, iOS, JavaScript, Flutter, React, React Native) and server-side runtimes (Go, Node.js), plus OpenFeature ecosystem integration for JavaScript, Swift, Kotlin, and Go. Built primarily in Go and TypeScript with an Apache-2.0 license, Bucketeer is designed for teams seeking production-grade feature management without vendor lock-in.
When teams consider Bucketeer, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Progressive Feature Rollout
Deploy new features to production behind flags, then gradually release to user segments while monitoring performance and rolling back instantly if issues arise.
Trunk-Based Development at Scale
Enable large engineering teams to merge incomplete features to main branch without conflicts, maintaining a continuously releasable codebase and reducing code review overhead.
Data-Driven Product Decisions
Run Bayesian A/B tests to compare feature variants with smaller sample sizes, achieving statistical significance faster and reducing experimentation costs.
Dark Launch Validation
Release backend services and APIs to production invisibly, validate performance and stability with real traffic, then expose to users only after confidence is established.
Bucketeer uses Bayesian algorithms instead of Frequentist methods, requiring smaller sample sizes to reach statistical significance. This delivers faster results and lowers experimentation costs.
Client-side: Android, iOS, JavaScript, Flutter, React, React Native. Server-side: Go, Node.js. OpenFeature SDKs available for JavaScript, Swift, Kotlin, and Go.
Bucketeer is self-hosted. Teams deploy and operate the platform on their own infrastructure. An online demo is available for evaluation.
Developers can merge feature-flagged code to the main branch while features remain disabled, preventing merge conflicts from long-lived branches and maintaining a continuously releasable codebase.
Bucketeer is licensed under Apache-2.0, providing permissive open-source terms without vendor lock-in.
Project at a glance
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