A C++ library for microbenchmarking code snippets, providing a framework similar to unit tests for performance measurement.
Google Benchmark is a C++ library for microbenchmarking code snippets, providing a framework to measure and compare the performance of small, critical sections of code. It helps developers identify performance bottlenecks, optimize algorithms, and prevent performance regressions by treating benchmarks similarly to unit tests.
C++ developers and performance engineers who need to measure and optimize the execution time of specific functions, algorithms, or data structures in their applications.
Developers choose Google Benchmark for its accuracy, ease of integration with CMake and existing C++ projects, and its robust statistical reporting that provides reliable performance insights comparable to industry-standard testing practices.
A microbenchmark support library
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Uses a simple BENCHMARK macro similar to unit testing frameworks, making it easy to define and register benchmark functions, as shown in the basic usage example with BM_StringCreation.
Provides comprehensive metrics like mean, median, and standard deviation, helping analyze performance variability accurately, as highlighted in the features list.
Offers CMake targets like benchmark::benchmark for easy linking via find_package or add_subdirectory, simplifying project setup as described in the usage section.
Supports parameterized benchmarks and multithreaded code, allowing performance testing across different inputs and concurrency levels, per the key features.
Requires C++17 to build, which may exclude projects using older compilers or standards, as explicitly stated in the requirements section.
Needs Google Test for building and running tests, adding complexity unless disabled with -DBENCHMARK_ENABLE_GTEST_TESTS=OFF, as noted in the installation steps.
Newer features on the v2 branch are experimental and lack API stability, which might not be suitable for production use, as warned in the stable vs experimental section.