Skip to content

Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments

License

Notifications You must be signed in to change notification settings

kostrykin/pypers

Repository files navigation

To support the sustainability of your software experiments

Installation:

git clone git@github.com:kostrykin/pypers.git
cd pypers && python setup.py install

Documentation: https://pypers-batch.readthedocs.io

Development instructions:

  • Use python -m unittest in the root directory of the repository to run the test suite.
  • Or use coverage.py instead to also produce a test coverage report:

    coverage run -m unittest && python -m coverage html

    This requires coverage.py to be installed, like pip install coverage.


Copyright (c) 2017-2024 Leonid Kostrykin, Biomedical Computer Vision Group, Heidelberg University
This work is licensed under the terms of the MIT license. For a copy, see LICENSE.

About

Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Languages