https://github.com/leifwalsh/perfume

Interactive performance benchmarking in Jupyter
https://github.com/leifwalsh/perfume

benchmarking interactive jupyter performance python

Last synced: 30 days ago
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Interactive performance benchmarking in Jupyter

• Host: GitHub
• URL: https://github.com/leifwalsh/perfume
• Owner: leifwalsh
• License: other
• Created: 2017-07-10T14:34:03.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-11-04T17:25:08.000Z (about 1 month ago)
• Last Synced: 2024-11-04T18:29:25.878Z (about 1 month ago)
• Topics: benchmarking, interactive, jupyter, performance, python
• Language: Python
• Size: 2.29 MB
• Stars: 33
• Watchers: 3
• Forks: 3
• Open Issues: 3
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Authors: AUTHORS.rst

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README

        
=======

perfume

=======

.. image:: https://img.shields.io/pypi/v/perfume-bench.svg

        :target: https://pypi.python.org/pypi/perfume-bench

.. image:: https://img.shields.io/travis/leifwalsh/perfume.svg

        :target: https://travis-ci.org/leifwalsh/perfume

.. image:: https://readthedocs.org/projects/perfume/badge/?version=latest

        :target: https://perfume.readthedocs.io/en/latest/?badge=latest

        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/leifwalsh/perfume/shield.svg

        :target: https://pyup.io/repos/github/leifwalsh/perfume/

        :alt: Updates

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.

.. image:: docs/perfume.gif

.. image:: docs/cumulative_quantiles.png

Installing

----------

.. code-block:: none

    pip install perfume-bench

Credits

-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage