Process operability analysis in Python

These details have not been verified by PyPI

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 conda (recommended):

conda install -c codes-group opyrability

This will install opyrability and all requirements/dependencies automatically.

From PyPI:

pip install opyrability

Then install Cyipopt from conda (non-automated dependency on PyPI):

conda install -c conda-forge cyipopt

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

This version

1.3.1

Aug 31, 2023

1.3

Aug 31, 2023

1.2.2

Aug 30, 2023

1.2.1

Aug 30, 2023

1.2

Aug 30, 2023

1.1

Aug 28, 2023

1.0

Aug 24, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

opyrability-1.3.1.tar.gz (20.9 kB view details)

Uploaded Aug 31, 2023 Source

Built Distribution

opyrability-1.3.1-py3-none-any.whl (21.0 kB view details)

Uploaded Aug 31, 2023 Python 3

File details

Details for the file opyrability-1.3.1.tar.gz.

File metadata

Download URL: opyrability-1.3.1.tar.gz
Upload date: Aug 31, 2023
Size: 20.9 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for opyrability-1.3.1.tar.gz
Algorithm	Hash digest
SHA256	`29facbf8076c48909047cca0abaa85065349027fe8f532797cdc5559f0c96bec`
MD5	`041cebd1eb131d0742bcffb16ace452d`
BLAKE2b-256	`2dff10d44609a9a36140c6e8f221e99859662870c4169dd413f92813d36f8bc7`

See more details on using hashes here.

File details

Details for the file opyrability-1.3.1-py3-none-any.whl.

File metadata

Download URL: opyrability-1.3.1-py3-none-any.whl
Upload date: Aug 31, 2023
Size: 21.0 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for opyrability-1.3.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`5772ae0e1b376becfec5b889a033cd900b5fd432269970c97d7ac334c52163a1`
MD5	`94ea5c513833cf98e4372f036563b1da`
BLAKE2b-256	`41b0b735bab3a1727a124cd78ecbf90ebc560a2e25fe74b725bf5ea24f2e5c90`