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Rate Limiter: Simple Leaky Bucket Implementation

Go rate limiter implements a leaky bucket algorithm for controlling request rates with minimal overhead. It provides a straightforward API for blocking leaky-bucket rate limiting in Go applications.
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Rate Limiter provides a Go implementation of the leaky-bucket rate limiting algorithm. It refils a bucket based on time elapsed, preventing bursts. The library allows you to control the rate of operations by introducing delays and is useful for managing API requests and preventing resource exhaustion. It prioritizes a simple API and minimal overhead.

The design focuses on simplicity and low overhead, making it suitable for performance-sensitive applications. It offers a straightforward API that's easy to integrate into existing Go projects. Unlike some alternatives, it avoids complex configuration options. The implementation is designed for blocking behavior, providing reliable rate limiting. The library includes comprehensive test coverage and is actively maintained.

  • Blocking Rate Limiting: Prevents exceeding a defined rate by pausing execution when the limit is reached. - Simple API: Easy to use with a single Take() method for acquiring permission to proceed. - Minimal Overhead: Designed for low CPU usage, suitable for high-throughput applications. - Configurable Rate: Allows setting a maximum number of operations per second. - Test Coverage: Includes unit and benchmark tests for reliability. - Go Modules: Uses Go modules for dependency management. - Clear Documentation: Includes a README with usage examples and explanations.

The project has been available since 2016 and has a stable release history, indicating sustained development and maintenance. Recent commits show ongoing updates and bug fixes. The presence of issues and a responsive maintainer suggests active community involvement. The documentation is complete and provides sufficient information for users.

This project is beneficial for developers building Go applications that require rate limiting. It's ideal for protecting APIs from abuse, managing resource consumption, and ensuring fair usage. It offers a simple, efficient alternative to more complex rate limiting solutions, especially when minimal overhead is crucial.

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9 years ago
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Updated 15 days ago

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