Interactive performance benchmarking in Jupyter
Project description
perfume
Interactive performance benchmarking in Jupyter
Free software: BSD license
Documentation: https://perfume.readthedocs.io.
Overview
perfume is a performance benchmarking tool that provides quick feedback on the systems under test.
The primary goals are:
Prioritize analysis of distributions of latency, not averages.
Support both immediate feedback and robust benchmarking with many samples, through a UI that updates as we collect more information.
Provide raw data back to the user, for flexible custom analysis.
Provide helpful post-processing analysis and charting tools.
Features
Live-updating histogram chart and descriptive statistics during a benchmark run.
Jupyter notebook integration.
Tunable benchmarking overhead.
Comparative analysis of multiple functions under test.
Powerful post-processing analysis tools.
Demo
You can check out an example notebook using perfume.
Installing
pip install perfume-bench
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.3 (2017-09-10)
Actually fix when only benchmarking one function (no K-S test) (oops).
0.1.2 (2017-09-10)
Fix when only benchmarking one function (no K-S test).
0.1.1 (2017-08-27)
Add dependency on matplotlib.
0.1.0 (2017-08-27)
First release on PyPI.
Interactive histogram while benchmarking with bokeh.
Interactive descriptive stats and K-S test.
Cumulative distribution plots.
Bucketed resampling.
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