| Name | Pyomo JSON |
| Version |
6.8.2
JSON |
| download |
| home_page | http://pyomo.org |
| Summary | Pyomo: Python Optimization Modeling Objects |
| upload_time | 2024-11-18 22:55:21 |
| maintainer | Pyomo Developer Team |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | BSD |
| keywords |
optimization
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
[](https://www.coin-or.org)
## 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`](https://github.com/Pyomo/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 Home](http://www.pyomo.org)
* [About Pyomo](http://www.pyomo.org/about)
* [Download](http://www.pyomo.org/installation/)
* [Documentation](http://www.pyomo.org/documentation/)
* [Performance Plots](https://pyomo.github.io/performance/)
Pyomo was formerly released as the Coopr software library.
Pyomo is available under the BSD License - see the
[`LICENSE.md`](https://github.com/Pyomo/pyomo/blob/main/LICENSE.md) file.
Pyomo is currently tested with the following Python implementations:
* CPython: 3.8, 3.9, 3.10, 3.11, 3.12, 3.13
* PyPy: 3.9
_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 [](https://pypi.org/project/Pyomo/) [](https://pypistats.org/packages/pyomo)
pip install pyomo
#### Anaconda [](https://anaconda.org/conda-forge/pyomo) [](https://anaconda.org/conda-forge/pyomo)
conda install -c conda-forge pyomo
### Tutorials and Examples
* [Pyomo — Optimization Modeling in Python](https://link.springer.com/book/10.1007/978-3-030-68928-5)
* [Pyomo Workshop Slides](https://github.com/Pyomo/pyomo-tutorials/blob/main/Pyomo-Workshop-December-2023.pdf)
* [Prof. Jeffrey Kantor's Pyomo Cookbook](https://jckantor.github.io/ND-Pyomo-Cookbook/)
* The [companion notebooks](https://mobook.github.io/MO-book/intro.html)
for *Hands-On Mathematical Optimization with Python*
* [Pyomo Gallery](https://github.com/Pyomo/PyomoGallery)
### Getting Help
To get help from the Pyomo community ask a question on one of the following:
* [Use the #pyomo tag on StackOverflow](https://stackoverflow.com/questions/ask?tags=pyomo)
* [Pyomo Forum](https://groups.google.com/forum/?hl=en#!forum/pyomo-forum)
### Developers
Pyomo development moved to this repository in June 2016 from
Sandia National Laboratories. Developer discussions are hosted by
[Google Groups](https://groups.google.com/forum/#!forum/pyomo-developers).
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:
1. You agree your contributions are submitted under the BSD license.
2. 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.
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