Pyomo is an object-oriented algebraic modeling language for Python that’s designed for formulating, analyzing, and solving structured optimization problems.
It lets users define symbolic models, create concrete problem instances, and solve them with standard optimization solvers. The software supports scripting and analysis within Python, making it suitable for building higher-level optimization tools and workflows.
This is free and open source software.
Key Features
- Supports linear, quadratic, nonlinear, and mixed-integer optimization models.
- Can formulate stochastic programming, generalized disjunctive programming, and constraint programming problems.
- Models are expressed using Python objects and scripting capabilities.
- Works with standard optimization solvers to solve concrete problem instances.
- Includes support for differential algebraic equations and mathematical programming with equilibrium constraints.
- Provides documentation, examples, tutorials, and related modelling resources.
Website: github.com/Pyomo/pyomo
Support:
Developer: Pyomo Development Team
License: BSD 3-Clause License
Pyomo is written in Python. Learn Python with our recommended free books and free tutorials.
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| SymPy | Library for symbolic mathematics |
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| mpmath | Library for arbitrary-precision floating-point arithmetic |
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