kostrykin / pypers

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

To support the sustainability of your software experiments

pypers

Installation:

git clone [e-mail]: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.

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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.