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
=======
0.1.0 (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.
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
=======
0.1.0 (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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file scikit-validate-0.2.0rc1.tar.gz
.
File metadata
- Download URL: scikit-validate-0.2.0rc1.tar.gz
- Upload date:
- Size: 1.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 79f71a8721521ec5ed7fe8ed38403ec0478d31c273620b6e5aa65ec565bf096c |
|
MD5 | 7a2faed742dd8f0a58963185d9627c29 |
|
BLAKE2b-256 | c41c55a74394c7c6b67cc4db5a97b532d1becdf9e1521859519636dec9d98258 |
File details
Details for the file scikit_validate-0.2.0rc1-py2.py3-none-any.whl
.
File metadata
- Download URL: scikit_validate-0.2.0rc1-py2.py3-none-any.whl
- Upload date:
- Size: 257.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2218f65137873f0f825e8a90c0a517a2eefb915d53da00c5887907083822d0dc |
|
MD5 | 42e8e2ef99e45e56197a3496dd51dac7 |
|
BLAKE2b-256 | d630b25394c8e0d4b4487ff9a0de94b716653a3d1bffaff93b49b9a0c173c522 |