Installation & Usage
Install either with pipx or pip. Both work, use what you want. Or optionally you can install from github using pip install git+https://github.com/wasi-master/fastero
For usage please check out the documentation
Features
For more info on all of these features, please the documentation
đ Beautiful formatted, and colored output. Output is reminiscent of hyperfineđ¤¯ Amazing exporting optionsđ Export as a bar plot with matplotlibđ Export as a beautiful image with the console outputâšī¸ Export as Markdown, HTML, CSV, AsciiDoc tablesđž Export as JSON and YAML data to use them elsewheređ You can also import the JSON data later within fastero to re-run the benchmark with the same parameters or to export the data again with different parameters.
đ Extremely intuitive and easy to use.đĸ Benchmark multiple snippetsđ¤ Assign a name to each snippet to make it easier to distinguishđ Get nice statistics about the each of the snippet and a summary on how fast each of them are compared to each other
⊠Enter multiline code in an input with syntax highlighting and amazing autocompleteâ° Excellent time parsing. Inputs like500ms,10s,1m5s,1.5m,1h30m15s, etc. work flawlesslyđĨ Run a few times without timing with the warmup parameter to fill caches and things like that.đ¨ Customize it to your liking.- đŖ Custom time formats e.g. nanoseconds, microseconds, milliseconds, seconds etc.
- đ¨ Custom theme for code input and/or output.
- đī¸ Control how long each snippet is benchmarked for
đĸ Specify a minimum and a maximum amount of runs to calculate the number of runs automatically based on run durationđ Or specify a definite number of runs for manual override
- đģ Cross-platform.
đ¤¯ Open source.đ Extensive documentation.
Acknowledgements
- hyperfine - Inspiration for creating this library and the UI.
- snappify.io - Inspiration for the Image export.
- rich - Used for beautiful output