Python timeit CLI for the 21st century.
Python timeit CLI for the 21st century
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
For more info on all of these features, please the documentation
- 🌟 Beautiful formatted, and colored output. Output is reminiscent of hyperfine
- 🤯 Amazing exporting options
- 📊 Export as a bar plot with matplotlib
- 🌃 Export as a beautiful image with the console output
- ℹ️ Export as Markdown, HTML, CSV, AsciiDoc tables
- 💾 Export as JSON and YAML data to use them elsewhere
- 🔁 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.
- 🚀 Extremely intuitive and easy to use.
- 🔢 Benchmark multiple snippets
- 🔤 Assign a name to each snippet to make it easier to distinguish
- 📈 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
- ⏰ Excellent time parsing. Inputs like
1h30m15s, etc. work flawlessly
- 🔥 Run a few times without timing with the warmup parameter to fill caches and things like that.
- 👨 Customize it to your liking.
- 🔣 Custom time formats e.g. nanoseconds, microseconds, milliseconds, seconds etc.
- 🎨 Custom theme for code input and/or output.
- 🎛️ Control how long each snippet is benchmarked for
- 🔢 Specify a minimum and a maximum amount of runs to calculate the number of runs automatically based on run duration
- 🔟 Or specify a definite number of runs for manual override
- 💻 Cross-platform.
- 🤯 Open source.
- 📚 Extensive documentation.
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