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What Output Formats Does nanobench Support?: nanobench supports four built-in output formats—CSV, JSON, HTML box plots, and Python's pyperf format—plus custom rendering through Mustache-like tem…
Getting Started with nanobench and Reading Its Output: To start with nanobench, add its single header to your project (direct inclusion or CMake integration), include nanobench.h, create an ankerl::nanobe…
How does nanobench compare with Google Benchmark, Catch2, and other C++ benchmark libraries?: nanobench is a single-header C++ benchmarking library that integrates by direct inclusion or CMake, runs each benchmark through a warmup and multiple…
How nanobench Measures and Reports Benchmark Results: nanobench measures a benchmark by repeatedly running a timed loop (an epoch) until it has a stable sample, reduces each round to a single number, and…
What is nanobench and what is it used for?: nanobench is a C++ microbenchmarking library for measuring small code snippets. It is header-only and can be used by direct inclusion or through CMak…