Welcome to opyrability, a Python-based package for performing Process Operability analysis.

opyrability is developed by the Control, Optimization and Design for Energy and Sustainability (CODES) Group at West Virginia University.

Authors:

• Victor Alves
• San Dinh
• Jonh Kitchin
• Vitor Gazzaneo
• Juan C. Carrasco
• Fernando V. Lima

Full documentation and discussion regarding process operability principles are available in opyrability's online portal.

To cite us, please use the following BibTeX entry below:

@article{Alves2024, 
doi = {10.21105/joss.05966}, 
url = {https://doi.org/10.21105/joss.05966}, 
year = {2024}, 
publisher = {The Open Journal}, 
volume = {9}, 
number = {94}, 
pages = {5966}, 
author = {Victor Alves and San Dinh and John R. Kitchin and Vitor Gazzaneo and Juan C. Carrasco and Fernando V. Lima}, 
title = {Opyrability: A Python package for process operability analysis}, journal = {Journal of Open Source Software} 
}

A paper describing opyrability's main functionalities is available in the Journal of Open Source Software (JOSS):

The Anaconda distribution is needed to have some of opyrability's dependencies.

The following commands will install opyrability and all dependencies on any OS (Windows, Linux and macOS):

pip install opyrability

Then install Cyipopt from conda:

conda install -c conda-forge cyipopt

The single command below will install opyrability and all requirements/dependencies on Linux/macOS operating systems automatically:

conda install -c codes-group -c conda-forge opyrability