Flagr is an open-source Go microservice for feature flagging, A/B testing, and dynamic configuration.
Flagr is an open-source Go microservice that enables teams to deliver targeted experiences through feature flags, A/B testing, and dynamic configuration. It provides clear REST APIs for managing flags and evaluating them in real-time, helping teams safely roll out features and monitor their impact without code deploys.
Engineering teams and developers building microservices or distributed applications who need a language-agnostic, API-first solution for feature management and experimentation.
Developers choose Flagr for its high performance, low-latency evaluation optimized for thousands of requests per second, and its standalone, easy-to-integrate design with official multi-language SDKs and an intuitive web UI.
Flagr is a feature flagging, A/B testing and dynamic configuration microservice
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Benchmarks show Flagr handles thousands of requests per second with mean latency under 400µs, optimized for low-latency production environments as evidenced in the README.
Provides clear REST APIs and official SDKs for Go, JavaScript, Python, and Ruby, making it easy to integrate into diverse tech stacks without language constraints.
Includes an intuitive interface for creating, managing, and monitoring flags and experiments visually, reducing reliance on API-only management.
Apache 2.0 licensed and self-hosted, offering full control over data and customization without vendor lock-in, as highlighted in the community-driven approach.
Requires self-hosting and maintenance of a Go microservice, adding complexity in deployment, scaling, and monitoring compared to managed SaaS solutions.
Focuses on basic flag evaluation and A/B testing but lacks built-in statistical analysis or machine learning features for deeper experiment insights.
While core SDKs exist, the ecosystem may have fewer third-party integrations, plugins, or community tools compared to established commercial alternatives.