skip to navigation
skip to content

Pyomo 5.2

Pyomo: Python Optimization Modeling Objects

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models.

Modeling optimization applications is a core capability of Pyomo. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. 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
  • Bilevel programming
  • Mathematical programming with equilibrium constraints

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 PySP package provides generic solvers for stochastic programming. PySP 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.


BSD. See the LICENSE.txt file.


File Type Py Version Uploaded on Size
Pyomo-5.2-py2-none-any.whl (md5) Python Wheel 2.7 2017-05-14 1MB
Pyomo-5.2.tar.gz (md5) Source 2017-05-14 1MB