A benchmark suite comparing the performance of Go HTTP request routers and web frameworks using real-world API routing structures.
go-http-routing-benchmark is a comprehensive benchmark suite that evaluates the performance of various Go HTTP request routers and web frameworks. It implements the routing structures of real-world APIs like GitHub, Google+, and Parse to provide realistic comparisons, helping developers choose routers based on performance metrics such as speed and memory efficiency.
Go developers and architects who need to select an HTTP router or web framework for performance-critical applications, such as high-traffic APIs or services where low latency and efficient resource usage are priorities.
Developers choose this benchmark because it offers objective, reproducible performance comparisons using real-world API structures, covering over 16 popular routers. Its transparent methodology and focus on both micro and macro benchmarks help identify routers that minimize overhead and scale well, unlike generic or synthetic tests.
Go HTTP request router and web framework benchmark
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Implements routing structures from GitHub, Google+, and Parse APIs, providing realistic performance comparisons rather than synthetic tests.
Tests 16+ popular Go routers and frameworks, including HttpRouter, Gorilla Mux, and Martini, offering a broad view of the ecosystem.
Measures routing speed, memory consumption, and allocation counts across micro and macro benchmarks, helping identify efficient routers.
Provides clear results and methodology in the README, ensuring reproducible benchmarks and honest conclusions about trade-offs.
Runs on Go 1.3, an old version; performance characteristics may have changed in newer Go releases, limiting current relevance.
The author admits bias as the creator of HttpRouter, which dominates benchmarks, potentially skewing focus and conclusions.
May not include newer routers or frameworks released after its creation, reducing its usefulness for modern comparisons.
Requires installing all 16+ router dependencies, which can be time-consuming and prone to version conflicts or installation issues.