Hypertune
Type-safe feature flags platform with A/B testing, analytics, and app configuration optimized for TypeScript
Bucketeer
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.
Overview
Maximize Development with Minimum Risk
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.
Advanced Capabilities
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.
Multi-Platform Support
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.
Highlights
Feature flags with dark launch and staged rollout capabilities based on user segments
Bayesian A/B testing for faster experimentation with smaller sample sizes
Trunk-based development support to reduce merge conflicts and accelerate releases
Native and OpenFeature SDKs for client-side, server-side, and mobile platforms
Pros
- Bayesian algorithm reduces sample size requirements and experimentation costs
- Supports trunk-based development workflows for large teams
- Multi-platform SDK coverage including OpenFeature ecosystem
- Apache-2.0 license with no vendor lock-in
Considerations
- Documentation is still a work in progress
- Smaller community compared to commercial alternatives
- Limited server-side SDK options (Go and Node.js only)
- Requires self-hosting infrastructure and operational expertise
Managed products teams compare with
When teams consider Bucketeer, these hosted platforms usually appear on the same shortlist.
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Fit guide
Great for
- Engineering teams practicing trunk-based development and continuous deployment
- Organizations requiring Bayesian A/B testing with faster results
- Teams needing multi-platform feature flag support across mobile and web
- Companies seeking open-source alternatives to commercial feature flag vendors
Not ideal when
- Teams without infrastructure resources for self-hosted deployments
- Organizations requiring extensive server-side language support beyond Go and Node.js
- Projects needing mature, comprehensive documentation immediately
- Small teams preferring fully managed SaaS solutions
How teams use it
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.
Tech snapshot
Go74%
TypeScript25%
Makefile1%
Shell1%
CSS1%
Mustache1%
Frequently asked questions
What makes Bucketeer's A/B testing different from other platforms?
Bucketeer uses Bayesian algorithms instead of Frequentist methods, requiring smaller sample sizes to reach statistical significance. This delivers faster results and lowers experimentation costs.
Which programming languages and platforms are supported?
Client-side: Android, iOS, JavaScript, Flutter, React, React Native. Server-side: Go, Node.js. OpenFeature SDKs available for JavaScript, Swift, Kotlin, and Go.
Is Bucketeer a managed service or self-hosted?
Bucketeer is self-hosted. Teams deploy and operate the platform on their own infrastructure. An online demo is available for evaluation.
How does Bucketeer support trunk-based development?
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.
What license does Bucketeer use?
Bucketeer is licensed under Apache-2.0, providing permissive open-source terms without vendor lock-in.
Project at a glance
Active- Stars
- 457
- Watchers
- 457
- Forks
- 28
LicenseApache-2.0
Repo age3 years old
Last commityesterday
Primary languageGo
Last synced yesterday