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@ -18,9 +18,9 @@ A command-line benchmarking tool.
* 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.
* Export results to various formats: CSV, JSON, Markdown.
* Parameterized benchmarks.
* 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
@ -77,24 +77,17 @@ Hyperfine has multiple options for exporting benchmark results: CSV, JSON, Markd
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 [ms] | Min…Max [ms] |
|:---|---:|---:|
| `find . -iregex '.*[0-9]\.jpg$'` | 506.0 ± 8.1 | 495.4…518.6 |
| `find . -iname '*[0-9].jpg'` | 304.9 ± 3.1 | 299.8…309.3 |
| `fd -HI '.*[0-9]\.jpg$'` | 66.2 ± 5.8 | 62.5…86.3 |
| Command | Mean [s] | Min [s] | Max [s] | Relative |
|:---|---:|---:|---:|---:|
| `find . -iregex '.*[0-9]\.jpg$'` | 2.395 ± 0.033 | 2.355 | 2.470 | 7.7 |
| `find . -iname '*[0-9].jpg'` | 1.416 ± 0.029 | 1.389 | 1.494 | 4.6 |
| `fd -HI '.*[0-9]\.jpg$'` | 0.309 ± 0.005 | 0.305 | 0.320 | 1.0 |
The JSON output is useful if you want to analyze the benchmark results in more detail. See the
[`scripts/`](https://github.com/sharkdp/hyperfine/tree/master/scripts) folder for some examples.
## Installation
### On macOS
Hyperfine can be installed via [Homebrew](https://brew.sh):
```
brew install hyperfine
```
### On Ubuntu
Download the appropriate `.deb` package from the [Release page](https://github.com/sharkdp/hyperfine/releases)
@ -119,6 +112,13 @@ Hyperfine can be installed via xbps
xbps-install -S hyperfine
```
### On macOS
Hyperfine can be installed via [Homebrew](https://brew.sh):
```
brew install hyperfine
```
### With conda
![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/hyperfine.svg)