Opyrability

Opyrability: A Python package for process operability analysis - Published in JOSS (2024)

https://github.com/codes-group/opyrability

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • 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
Last synced: 6 months ago · JSON representation

Repository

Python-based Process Operability Package

Basic Info
  • Host: GitHub
  • Owner: CODES-group
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 97.6 MB
Statistics
  • Stars: 22
  • Watchers: 2
  • Forks: 10
  • Open Issues: 2
  • Releases: 25
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

Opyrability - Process Operability Analysis in Python.

PyPI Downloads GitHub forks GitHub Repo stars GitHub top language Website GitHub License DOI

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):

DOI

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

JOSS Publication

Opyrability: A Python package for process operability analysis
Published
February 06, 2024
Volume 9, Issue 94, Page 5966
Authors
Victor Alves
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
San Dinh
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
John R. Kitchin
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Vitor Gazzaneo
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
Juan C. Carrasco
Department of Chemical Engineering, Universidad de Concepción, Concepción, Chile
Fernando V. Lima
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
Editor
Kyle Niemeyer ORCID
Tags
Process systems engineering Process operability Process design and control Computational geometry Nonlinear optimization

GitHub 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

All Time
  • Total Commits: 307
  • Total Committers: 10
  • Avg Commits per committer: 30.7
  • Development Distribution Score (DDS): 0.202
Past Year
  • Commits: 25
  • Committers: 5
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.56
Top Committers
Name Email 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
bug (1) help wanted (1) question (1)
Pull Request Labels
documentation (1)

Packages

  • Total packages: 1
  • 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

  • Versions: 25
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 73 Last month
Rankings
Dependent packages count: 7.5%
Average: 38.7%
Dependent repos count: 69.8%
Maintainers (1)
Last synced: 6 months ago