Process operability analysis in Python

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Project description

opyrability - Process Operability Analysis in Python.

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 under Dr. Fernando V. Lima's supervision.

Authors: Victor Alves and San Dinh

Installation

From PyPI:

pip install opyrability

Then install Cyipopt (non-automated dependency) and Polytope's latest version hosted on GitHub:

conda install -c conda-forge cyipopt

pip install git+https://github.com/tulip-control/polytope.git@main

Conda packaging coming soon.

Documentation and Process Operability Principles

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

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

1.4.9

Mar 21, 2024

1.4.8

Mar 21, 2024

1.4.7

Mar 4, 2024

1.4.6

Mar 1, 2024

1.4.5

Feb 5, 2024

1.4.4

Nov 1, 2023

1.4.3

Sep 5, 2023

1.4.2

Aug 31, 2023

1.4.1

Aug 31, 2023

1.4.0

Aug 31, 2023

1.3.9

Aug 31, 2023

1.3.8

Aug 31, 2023

1.3.7

Aug 31, 2023

1.3.6

Aug 31, 2023

1.3.5

Aug 31, 2023

1.3.4

Aug 31, 2023

1.3.3

Aug 31, 2023

1.3.2

Aug 31, 2023

1.3.1

Aug 31, 2023

1.3

Aug 31, 2023

1.2.2

Aug 30, 2023

1.2.1

Aug 30, 2023

This version

1.2

Aug 30, 2023

1.1

Aug 28, 2023

1.0

Aug 24, 2023

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