Skip to content
forked from sharkdp/hyperfine

A command-line benchmarking tool

License

Apache-2.0, MIT licenses found

Licenses found

Apache-2.0
LICENSE-APACHE
MIT
LICENSE-MIT
Notifications You must be signed in to change notification settings

ptzagk/hyperfine

 
 

Repository files navigation

hyperfine

CICD Version info 中文

A command-line benchmarking tool.

Demo: Benchmarking fd and find:

hyperfine

Features

  • Statistical analysis across multiple runs.
  • Support for arbitrary shell commands.
  • Constant feedback about the benchmark progress and current estimates.
  • Warmup runs can be executed before the actual benchmark.
  • Cache-clearing commands can be set up before each timing run.
  • Statistical outlier detection to detect interference from other programs and caching effects.
  • Export results to various formats: CSV, JSON, Markdown, AsciiDoc.
  • Parameterized benchmarks (e.g. vary the number of threads).
  • Cross-platform

Usage

Basic benchmark

To run a benchmark, you can simply call hyperfine <command>.... The argument(s) can be any shell command. For example:

hyperfine 'sleep 0.3'

Hyperfine will automatically determine the number of runs to perform for each command. By default, it will perform at least 10 benchmarking runs. To change this, you can use the -m/--min-runs option:

hyperfine --min-runs 5 'sleep 0.2' 'sleep 3.2'

Warmup runs and preparation commands

If the program execution time is limited by disk I/O, the benchmarking results can be heavily influenced by disk caches and whether they are cold or warm.

If you want to run the benchmark on a warm cache, you can use the -w/--warmup option to perform a certain number of program executions before the actual benchmark:

hyperfine --warmup 3 'grep -R TODO *'

Conversely, if you want to run the benchmark for a cold cache, you can use the -p/--prepare option to run a special command before each timing run. For example, to clear harddisk caches on Linux, you can run

sync; echo 3 | sudo tee /proc/sys/vm/drop_caches

To use this specific command with Hyperfine, call sudo -v to temporarily gain sudo permissions and then call:

hyperfine --prepare 'sync; echo 3 | sudo tee /proc/sys/vm/drop_caches' 'grep -R TODO *'

Parameterized benchmarks

If you want to run a benchmark where only a single parameter is varied (say, the number of threads), you can use the -P/--parameter-scan option and call:

hyperfine --prepare 'make clean' --parameter-scan num_threads 1 12 'make -j {num_threads}'

This also works with decimal numbers. The -D/--parameter-step-size option can be used to control the step size:

hyperfine --parameter-scan delay 0.3 0.7 -D 0.2 'sleep {delay}'

This runs sleep 0.3, sleep 0.5 and sleep 0.7.

Shell functions and aliases

If you are using bash, you can export shell functions to directly benchmark them with hyperfine:

$ my_function() { sleep 1; }
$ export -f my_function
$ hyperfine my_function

If you are using a different shell, or if you want to benchmark shell aliases, you may try to put them in a separate file:

echo 'my_function() { sleep 1 }' > /tmp/my_function.sh
echo 'alias my_alias="sleep 1"' > /tmp/my_alias.sh
hyperfine 'source /tmp/my_function.sh; eval my_function'
hyperfine 'source /tmp/my_alias.sh; eval my_alias'

Export results

Hyperfine has multiple options for exporting benchmark results: CSV, JSON, Markdown (see --help text for details). To export results to Markdown, for example, you can use the --export-markdown option that will create tables like this:

Command Mean [s] Min [s] Max [s] Relative
find . -iregex '.*[0-9]\.jpg$' 2.275 ± 0.046 2.243 2.397 9.79 ± 0.22
find . -iname '*[0-9].jpg' 1.427 ± 0.026 1.405 1.468 6.14 ± 0.13
fd -HI '.*[0-9]\.jpg$' 0.232 ± 0.002 0.230 0.236 1.00

The JSON output is useful if you want to analyze the benchmark results in more detail. See the scripts/ folder for some examples.

Installation

Packaging status

On Ubuntu

Download the appropriate .deb package from the Release page and install it via dpkg:

wget https://github.com/sharkdp/hyperfine/releases/download/v1.12.0/hyperfine_1.12.0_amd64.deb
sudo dpkg -i hyperfine_1.12.0_amd64.deb

On Fedora

On Fedora, hyperfine can be installed from the official repositories:

dnf install hyperfine

On Alpine Linux

On Alpine Linux, hyperfine can be installed from the official repositories:

apk add hyperfine

On Arch Linux

On Arch Linux, hyperfine can be installed from the official repositories:

pacman -S hyperfine

On Funtoo Linux

On Funtoo Linux, hyperfine can be installed from core-kit:

emerge app-benchmarks/hyperfine

On NixOS

On NixOS, hyperfine can be installed from the official repositories:

nix-env -i hyperfine

On Void Linux

Hyperfine can be installed via xbps

xbps-install -S hyperfine

On macOS

Hyperfine can be installed via Homebrew:

brew install hyperfine

Or you can install using MacPorts:

sudo port selfupdate
sudo port install hyperfine

On FreeBSD

Hyperfine can be installed via pkg:

pkg install hyperfine

On OpenBSD

doas pkg_add hyperfine

With conda

Hyperfine can be installed via conda from the conda-forge channel:

conda install -c conda-forge hyperfine

With cargo (Linux, macOS, Windows)

Hyperfine can be installed via cargo:

cargo install hyperfine

Make sure that you use Rust 1.51 or higher.

From binaries (Linux, macOS, Windows)

Download the corresponding archive from the Release page.

Alternative tools

Hyperfine is inspired by bench.

Integration with other tools

Chronologer is a tool that uses hyperfine to visualize changes in benchmark timings across your Git history.

Make sure to check out the scripts folder in this repository for a set of tools to work with hyperfine benchmark results.

Origin of the name

The name hyperfine was chosen in reference to the hyperfine levels of caesium 133 which play a crucial role in the definition of our base unit of time — the second.

License

hyperfine is dual-licensed under the terms of the MIT License and the Apache License 2.0.

See the LICENSE-APACHE and LICENSE-MIT files for details.

About

A command-line benchmarking tool

Resources

License

Apache-2.0, MIT licenses found

Licenses found

Apache-2.0
LICENSE-APACHE
MIT
LICENSE-MIT

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Rust 93.8%
  • Python 6.2%