Metadata-Version: 1.2
Name: perfume-bench
Version: 0.1.6
Summary: Interactive performance benchmarking in Jupyter
Home-page: https://github.com/leifwalsh/perfume
Author: Leif Walsh
Author-email: leif.walsh@gmail.com
License: BSD license
Description: =======
        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 <docs/example.ipynb>`__ 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
        
        
        
        =======
        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.
        
Keywords: perfume python performance benchmarking jupyter interactive
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.4, <4
