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Science validation toolkit

Project description

scikit-validate

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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.

It is meant to provide analysis groups or small experiments with some of the fundamental features needed tovalidate (i.e. compare to a reference) the outcomes of their code and to provide easy access to the results.

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.

History

0.1.0 (2018-10-25)

  • added comparisons between objects in ROOT files

  • all items under skvalidate.commands are now automatically installed as scripts

0.0.1 (2018-07-19)

  • First release on PyPI.

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