Celero
A C++14 library for authoring and executing benchmarks with a GoogleTest-like API, supporting statistical analysis and performance tracking.
What is Celero?
Celero is a C++ benchmarking library and framework that enables developers to write, execute, and analyze performance tests for their code. It solves the problem of inconsistent and hard-to-reproduce benchmark results by providing a structured, GoogleTest-like API that integrates seamlessly into C++ projects. The library focuses on statistical accuracy, automating measurements, and tracking performance over time.
C++ developers and teams who need to measure and optimize code performance, particularly those working on performance-critical applications or libraries where benchmarking is essential for validating algorithm choices and design decisions.
Developers choose Celero because it offers a comprehensive, easy-to-integrate solution for C++ benchmarking with features like automated RAM tracking, statistical reporting, and CI/CD support. Its GoogleTest-like API lowers the learning curve, while its focus on accuracy and historical tracking helps teams maintain performance standards over time.
Overview
C++ Benchmark Authoring Library/Framework
Use Cases
Best For
- Comparing performance of different algorithms or data structures in C++
- Tracking performance regressions in continuous integration pipelines
- Measuring memory usage alongside execution time in benchmarks
- Scaling benchmark complexity with problem space values for algorithm analysis
- Writing multi-threaded performance tests for concurrent code
- Generating performance graphs and CSV outputs for reporting
Not Ideal For
- Projects stuck on C++ standards older than C++14
- Teams needing quick, one-off timing measurements without statistical rigor or framework setup
- Environments where minimizing dependencies is crucial, as it requires GoogleTest for unit test builds
Pros & Cons
Pros
Celero emphasizes statistical soundness by automatically computing optimal samples and iterations, and capturing rich timing statistics to ensure accurate, reproducible benchmark results.
It includes automated RAM tracking, user-defined measurements, and problem space scaling, allowing for multi-faceted performance analysis beyond just execution time.
With a GoogleTest-like API and a single header file, Celero integrates seamlessly into C++ projects, lowering the learning curve for developers familiar with testing frameworks.
Outputs results in JUnit XML format for continuous integration, enabling automated performance regression tracking in pipelines, as highlighted in the README.
Cons
Celero requires developers to provide GoogleTest to build its unit tests, adding an external dependency that complicates setup and maintenance.
Features like user-defined measurements and problem spaces require additional boilerplate code and deeper understanding, which can be overwhelming for simple benchmarking needs.
It only supports C++14 and above, excluding legacy projects or those constrained by older compiler standards, limiting its adoption in some environments.
Frequently Asked Questions
Related Projects
Google MockGoogleTest - Google Testing and Mocking Framework
googletestGoogleTest - Google Testing and Mocking Framework
Catch2A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
benchmarkA microbenchmark support library
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