Metadata-Version: 2.1
Name: opyrability
Version: 1.4.6
Summary: Process operability analysis in Python
License: MIT
Author: Victor Alves
Requires-Python: >=3.9.0,<4.0.0
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: cvxopt (>=1.2.7,<2.0.0)
Requires-Dist: jax[cpu] (>=0.4.13,<0.5.0)
Requires-Dist: matplotlib (>=3.6.2,<3.8.0)
Requires-Dist: numpy (>=1.24.1,<1.26.0)
Requires-Dist: polytope (>=0.2.4,<0.3.0)
Requires-Dist: scipy (>=1.10.0,<2.0.0)
Requires-Dist: tqdm (>=4.64.1,<5.0.0)
Description-Content-Type: text/markdown

# Opyrability - Process Operability Analysis in Python.

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[![DOI](https://joss.theoj.org/papers/10.21105/joss.05966/status.svg)](https://doi.org/10.21105/joss.05966)


Welcome to opyrability, a Python-based package for performing [Process Operability](https://www.sciencedirect.com/science/article/pii/S1474667017338028) analysis.

opyrability is developed by the [Control, Optimization and Design for Energy and Sustainability (CODES) Group](https://fernandolima.faculty.wvu.edu/) at West Virginia University.

![](/docs/opyrability_overview.png)

Authors:
- [Victor Alves](https://github.com/victoraalves)
- [San Dinh](https://github.com/sanqdinh)
- [Jonh Kitchin](https://github.com/jkitchin)
- Vitor Gazzaneo
- Juan C. Carrasco
- [Fernando V. Lima](https://github.com/fvlima-codes)

## Documentation and Process Operability Principles

Full documentation and discussion regarding process operability principles are available in [opyrability's online portal.](https://codes-group.github.io/opyrability/)

## Citing Us

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):

[![DOI](https://joss.theoj.org/papers/10.21105/joss.05966/status.svg)](https://doi.org/10.21105/joss.05966)



## Installation

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

### From PyPI/conda (Windows, Linux and macOS):

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

```console
pip install opyrability
```

Then install [Cyipopt](https://github.com/mechmotum/cyipopt) from **conda**:

```console
conda install -c conda-forge cyipopt
```

### From conda (Linux and macOS only):

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

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



