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: 3.10, 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.
Release files for pyomo 6.10.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyomo-6.10.1.tar.gz | 3.3 MB | Details |
Built distributions (wheels)
Total release size: 159.6 MB
Release files / pyomo-6.10.1.tar.gz
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| Tags | CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|
Release files / pyomo-6.10.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | pyomo-6.10.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 15.3 MB |
| Tags | CPython 3.10 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|
Release files / pyomo-6.10.1-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | pyomo-6.10.1-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 7.5 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|
Release files / pyomo-6.10.1-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | pyomo-6.10.1-cp310-cp310-macosx_10_9_x86_64.whl |
|---|---|
| Size | 7.7 MB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|
