pyworkflow is a simple workflow platform used in scientific applications. It has been initially developed within the Scipion framework for image processing in Electron Microscopy.
pyworkflow allows you to define a working Domain by defining the following group of classes:
- Objects: input/outputs that will be generated by different programs
- Protocols: special type of Objects that have defined input parameters and will produce some output
- Viewers: Entities that provide graphical analysis of results.
- Wizards: Small GUIs that can be develop to help users to select given parameter values.
To install pyworkflow for development purposes, one can do:
# Create a clean virtual environment
conda create -n scipion python=3.8
conda activate
git clone https://github.com/scipion-em/scipion-pyworkflow.git
cd scipion-pyworkflow
pip install -e .conda activate scipion
cd scipion-pyworkflow
export SCIPION_DOMAIN="pyworkflowtests/tests/mock_domain"
python -m unittest discover
# Simple project GUI can be shown after running tests:
python pyworkflow/apps/pw_project.py TestProtocolOutputsAll test projects are located in ~/ScipionUserData/Tests/
https://scipion-em.github.io/docs/release-3.0.0/api/pyworkflow/pyworkflow.html
