pyomo

The Pyomo optimization modeling framework

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Project links

Project description

Pyomo Overview

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Pyomo supports a wide range of problem types, including:

Linear programming
Quadratic programming
Nonlinear programming
Mixed-integer linear programming
Mixed-integer quadratic programming
Mixed-integer nonlinear programming
Mixed-integer stochastic programming
Generalized disjunctive programming
Differential algebraic equations
Mathematical programming with equilibrium constraints
Constraint programming

Pyomo supports analysis and scripting within a full-featured programming language. Further, Pyomo has also proven an effective framework for developing high-level optimization and analysis tools. For example, the mpi-sppy package provides generic solvers for stochastic programming. mpi-sppy leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using Python parallel communication libraries.

Pyomo was formerly released as the Coopr software library.

Pyomo is available under the BSD License - see the LICENSE.md file.

Pyomo is currently tested with the following Python implementations:

CPython: 3.9, 3.10, 3.11, 3.12, 3.13, 3.14
PyPy: 3.11

Testing and support policy:

At the time of the first Pyomo release after the end-of-life of a minor Python version, we will remove testing for that Python version.

Installation

PyPI

pip install pyomo

Anaconda

conda install -c conda-forge pyomo

Tutorials and Examples

Pyomo — Optimization Modeling in Python
Pyomo Workshop Slides
Prof. Jeffrey Kantor's Pyomo Cookbook
The companion notebooks for Hands-On Mathematical Optimization with Python
Pyomo Gallery

Getting Help

To get help from the Pyomo community ask a question on one of the following:

Developers

Pyomo development moved to this repository in June 2016 from Sandia National Laboratories. Developer discussions are hosted by Google Groups.

The Pyomo Development team holds weekly coordination meetings on Tuesdays 12:30 - 14:00 (MT). Please contact wg-pyomo@sandia.gov to request call-in information.

By contributing to this software project, you are agreeing to the following terms and conditions for your contributions:

You agree your contributions are submitted under the BSD license.
You represent you are authorized to make the contributions and grant the license. If your employer has rights to intellectual property that includes your contributions, you represent that you have received permission to make contributions and grant the required license on behalf of that employer.

Related Packages

See https://pyomo.readthedocs.io/en/latest/related_packages.html.

Project details

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Project links

Release history Release notifications | RSS feed

This version

6.9.5

Oct 17, 2025

6.9.4

Aug 28, 2025

6.9.3

Aug 6, 2025

6.9.2

Apr 16, 2025

6.9.1

Mar 5, 2025

6.9.0

Feb 21, 2025

6.8.2

Nov 18, 2024

6.8.1

Nov 15, 2024

6.8.0

Aug 20, 2024

6.7.3

May 29, 2024

6.7.2

May 9, 2024

6.7.1

Feb 21, 2024

6.7.0

Nov 30, 2023

6.6.2

Aug 24, 2023

6.6.1

May 30, 2023

6.6.0

May 24, 2023

6.5.0

Feb 16, 2023

6.4.4

Dec 9, 2022

6.4.3

Nov 28, 2022

6.4.2

Aug 17, 2022

6.4.1

May 13, 2022

6.4.0

Mar 16, 2022

6.3.0

Feb 24, 2022

6.2

Nov 17, 2021

6.1.2

Aug 20, 2021

6.1.1

Aug 17, 2021

6.1

Aug 17, 2021

6.0.1

Jun 4, 2021

6.0

May 20, 2021

5.7.3

Jan 29, 2021

5.7.2

Dec 17, 2020

5.7.1

Sep 16, 2020

5.7

Jun 19, 2020

5.6.9

Mar 18, 2020

5.6.8

Dec 13, 2019

5.6.7

Nov 7, 2019

5.6.6

Jun 21, 2019

5.6.5

Jun 10, 2019

5.6.4

May 24, 2019

5.6.3

May 24, 2019

5.6.2

May 1, 2019

5.6.1

Jan 18, 2019

5.6

Dec 19, 2018

5.5.1

Oct 26, 2018

5.5.0

Apr 14, 2018

5.4.3

Mar 2, 2018

5.4.2

Mar 2, 2018

5.4.1

Feb 28, 2018

5.3

Oct 22, 2017

5.2

May 14, 2017

5.1.1

Jan 8, 2017

5.1

Jan 5, 2017

5.0.1

Nov 16, 2016

5.0

Nov 16, 2016

4.4.1

Aug 23, 2016

4.3.11388

May 13, 2016

4.3.11377

Apr 24, 2016

4.3.11345

Apr 21, 2016

4.3.11329

Apr 15, 2016

4.3.11328

Apr 10, 2016

4.3.11327

Apr 8, 2016

4.3.11323

Apr 7, 2016

4.2.10784

Sep 21, 2015

4.2.10782

Sep 20, 2015

4.1.10527

Aug 2, 2015

4.1.10526

Aug 2, 2015

4.1.10519

Jul 19, 2015

4.1.10509

Jul 15, 2015

4.1.10505

Jul 14, 2015

4.1.10486

Jul 11, 2015

4.0.9682

Jan 23, 2015

4.0.9638

Jan 10, 2015

4.0.9629

Jan 9, 2015

4.0rc9540 pre-release

Dec 25, 2014

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Algorithm	Hash digest
SHA256	`3f103e018e2c14d2ce74128d2e7e350e5555e51ee0be6c3e8f07e4c096c8f327`
MD5	`189650f618fc6b5b5e0b433f04a9da25`
BLAKE2b-256	`282a06eb389e9dac189a9c54563e5e26755eccff46dc83623680be70613ce8b4`

Algorithm	Hash digest
SHA256	`de02bbf1f114e155a8617804ac3c2abbfa9176bc0dfd6e21376b11c5e62d9032`
MD5	`49bdb3e3982906987142f9624b6569c5`
BLAKE2b-256	`d2b59509756c5525c9cebce19c6f2303b12297318853c394fbe600a96467d636`

Algorithm	Hash digest
SHA256	`f6504b8d000185795280f2a4f4665c7f8854cb5512f5ee15da1b5d7575402bd7`
MD5	`5817f459f7b702de88a9ec778a392e82`
BLAKE2b-256	`e3945b88528436ac16445b89738bde5fcba259b5411363441da16f26ea8bc75d`

Algorithm	Hash digest
SHA256	`51da017a6fb858106815fb8376d6a4fea1580f2b30738955340a7bb8f11320a4`
MD5	`0bdc0bc068aaeed9ace0173d9badbadd`
BLAKE2b-256	`6313f1f9d051709af881e355ca1900fb133f2251e07b2267709802a55abe0704`