Backend services increasingly rely on rate limiting to shield APIs from abuse and resource exhaustion. To address that need, developer Yasser Elgammal released a production-ready, thread-safe library written in Go, built around the classic Token Bucket algorithm. The design permits controlled bursts while maintaining a smooth request flow.

Key features include in-memory storage, detailed rate limit results such as remaining tokens and retry‑after timestamps, and optional cleanup of stale entries. Extensive unit tests and race-condition testing guarantee reliability under concurrency. A concise code snippet shows configuration of 10 requests per second with a burst of 20, ready for REST APIs, Go microservices, or public‑facing services.

The project lives on GitHub under an MIT license, inviting contributions from the Go community. By offering a lightweight, thread‑safe limiter, it helps teams enforce fair and controlled request handling without heavyweight proxies. Watch for upcoming integrations with popular frameworks and potential metrics exporters to monitor usage in production environments.