Nonius
A header-only C++ micro-benchmarking framework for statistically rigorous performance measurement of small code snippets.
What is Nonius?
Nonius is a C++ micro-benchmarking framework that measures the execution time of small code snippets and performs statistical analysis on those measurements. It helps developers understand the performance characteristics of their C++ code through rigorous timing and analysis.
C++ developers who need to measure and optimize the performance of small, isolated code snippets, particularly those working on performance-critical applications or libraries.
Developers choose Nonius for its simplicity as a header-only library, its statistical rigor inspired by the Haskell Criterion tool, and its specialized focus on micro-benchmarking without requiring complex build system integration.
Overview
A C++ micro-benchmarking framework
Use Cases
Best For
- Benchmarking small, isolated C++ functions or code blocks
- Performance comparison between different algorithm implementations
- Measuring optimization improvements in C++ code
- Statistical analysis of code execution timing
- Header-only benchmarking without build dependencies
- Micro-benchmarking in C++ projects inspired by Haskell's Criterion
Not Ideal For
- Benchmarking large-scale, integrated systems or applications
- Teams needing graphical reporting or GUI tools for benchmark results
- Projects requiring extensive third-party integrations or plugin ecosystems
- Real-time performance monitoring in production environments
Pros & Cons
Pros
Nonius is distributed as a single header file, making it trivial to integrate into any C++ project without build system dependencies, as stated in the README: 'The library is header-only so you don’t have to build it.'
Inspired by the Haskell Criterion tool, it performs statistical analysis on timing measurements to provide reliable performance insights, ensuring accurate benchmarking for micro-optimizations.
Specifically designed for benchmarking small, isolated C++ code snippets, offering targeted tools for developers optimizing fine-grained performance without unnecessary overhead.
Cons
As a niche tool inspired by a Haskell library, it likely has fewer third-party integrations, community plugins, or extensive documentation compared to mainstream alternatives like Google Benchmark.
Lacks advanced reporting tools, such as graphical outputs or CI/CD integrations, which are common in other benchmarking frameworks, potentially requiring manual work for result analysis.
The statistical analysis and header-only nature might introduce measurement overhead that could skew results for extremely low-latency code, a trade-off for accuracy in micro-benchmarking.
Frequently Asked Questions
Related Projects
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benchmarkA microbenchmark support library
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