Science validation toolkit
Project description
=============
scikit-validate
=============
.. image:: https://img.shields.io/pypi/v/skvalidate.svg
:target: https://pypi-hypernode.com/pypi/skvalidate
.. image:: https://readthedocs.org/projects/scikit-validate/badge/?version=latest
:target: https://scikit-validate.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
* Free software: Apache Software License 2.0
* Documentation: https://scikit-validate.readthedocs.io.
Overview
--------
scikit-validate is a validation package for science output developed within `F.A.S.T.`_.
This package provides commands for monitoring and comparing analysis outputs, computing resource usage (e.g. CPU time/RAM) as well as commands for summarising findings.
Features
--------
* Collect metrics in JSON output
* measure file metrics (e.g. size)
* measure execution time and memory usage
* compare to previous executions
* compare ROOT files & plot discrepancies
* create validation reports
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _`F.A.S.T.`: https://fast-hep.web.cern.ch/fast-hep/public
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.0.1 (2018-07-19)
------------------
* First release on PyPI.
scikit-validate
=============
.. image:: https://img.shields.io/pypi/v/skvalidate.svg
:target: https://pypi-hypernode.com/pypi/skvalidate
.. image:: https://readthedocs.org/projects/scikit-validate/badge/?version=latest
:target: https://scikit-validate.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
* Free software: Apache Software License 2.0
* Documentation: https://scikit-validate.readthedocs.io.
Overview
--------
scikit-validate is a validation package for science output developed within `F.A.S.T.`_.
This package provides commands for monitoring and comparing analysis outputs, computing resource usage (e.g. CPU time/RAM) as well as commands for summarising findings.
Features
--------
* Collect metrics in JSON output
* measure file metrics (e.g. size)
* measure execution time and memory usage
* compare to previous executions
* compare ROOT files & plot discrepancies
* create validation reports
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _`F.A.S.T.`: https://fast-hep.web.cern.ch/fast-hep/public
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.0.1 (2018-07-19)
------------------
* First release on PyPI.
Project details
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