Description:
fastero 0.2.5
fastero
Python timeit CLI for the 21st century
Read the Documentation
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 hyperfine
đ¤¯ Amazing exporting options
đ Export as a bar plot with matplotlib
đ Export as a beautiful image with the console output
âšī¸ Export as Markdown, HTML, CSV, AsciiDoc tables
đž Export as JSON and YAML data to use them elsewhere
đ 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 snippets
đ¤ Assign a name to each snippet to make it easier to distinguish
đ 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 autocomplete
â° Excellent time parsing. Inputs like 500ms, 10s, 1m5s, 1.5m, 1h30m15s, etc. work flawlessly
đĨ 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 duration
đ 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
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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