Opyrability
Opyrability: A Python package for process operability analysis - Published in JOSS (2024)
Science Score: 98.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 10 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: sciencedirect.com, joss.theoj.org -
✓Committers with academic emails
4 of 10 committers (40.0%) from academic institutions -
✓Institutional organization owner
Organization codes-group has institutional domain (fernandolima.faculty.wvu.edu) -
✓JOSS paper metadata
Published in Journal of Open Source Software
Repository
Python-based Process Operability Package
Basic Info
Statistics
- Stars: 22
- Watchers: 2
- Forks: 10
- Open Issues: 2
- Releases: 25
Metadata Files
README.md
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.

Authors: - Victor Alves - San Dinh - Jonh Kitchin - Vitor Gazzaneo - Juan C. Carrasco - Fernando V. Lima
Documentation and Process Operability Principles
Full documentation and discussion regarding process operability principles are available in opyrability's online portal.
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):
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 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
Owner
- Name: CODES Research Group
- Login: CODES-group
- Kind: organization
- Location: Morgantown
- Website: https://fernandolima.faculty.wvu.edu/
- Repositories: 1
- Profile: https://github.com/CODES-group
JOSS Publication
Opyrability: A Python package for process operability analysis
Authors
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
Department of Chemical Engineering, Universidad de Concepción, Concepción, Chile
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
Tags
Process systems engineering Process operability Process design and control Computational geometry Nonlinear optimizationGitHub Events
Total
- Issues event: 4
- Watch event: 3
- Member event: 1
- Issue comment event: 20
- Push event: 14
- Pull request review comment event: 5
- Pull request review event: 8
- Pull request event: 15
- Fork event: 6
Last Year
- Issues event: 4
- Watch event: 3
- Member event: 1
- Issue comment event: 20
- Push event: 14
- Pull request review comment event: 5
- Pull request review event: 8
- Pull request event: 15
- Fork event: 6
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Victor Alves | 5****s | 245 |
| hunterbarber | b****5@m****u | 21 |
| sanqdinh | 6****h | 13 |
| Victor Cunha Alves | v****4@m****u | 12 |
| savannahsakhai | s****1@m****u | 7 |
| Rafael Heilbuth | r****h@u****r | 4 |
| Vitor Renan | 3****n | 2 |
| Kyle Niemeyer | k****r@f****m | 1 |
| KrishnamurthyBusam | 1****m | 1 |
| Hunter Barber | b****5@m****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 11
- Total pull requests: 10
- Average time to close issues: 11 days
- Average time to close pull requests: 22 days
- Total issue authors: 7
- Total pull request authors: 8
- Average comments per issue: 3.27
- Average comments per pull request: 1.0
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 6
- Average time to close issues: 27 minutes
- Average time to close pull requests: about 2 months
- Issue authors: 2
- Pull request authors: 5
- Average comments per issue: 1.5
- Average comments per pull request: 1.5
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- hunterbarber (5)
- savannahsakhai (2)
- sanqdinh (2)
- mustafaalsalmi1999 (1)
- victoraalves (1)
- dhuynh10 (1)
- Spogis (1)
Pull Request Authors
- v2renan (5)
- rafaelrheil (5)
- hunterbarber (3)
- savannahsakhai (2)
- KrishnamurthyBusam (2)
- Spogis (2)
- kyleniemeyer (2)
- victoraalves (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 73 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 25
- Total maintainers: 1
pypi.org: opyrability
Process operability analysis in Python
- Documentation: https://opyrability.readthedocs.io/
- License: MIT
-
Latest release: 1.4.9
published almost 2 years ago
