Using Solvers with Pyomo

Pyomo supports modeling and scripting but does not install a solver automatically. For numerous reasons (including stability and managing intermittent dependency conflicts), Pyomo does not bundle solvers or have strict dependencies on any third-party solvers. The table below lists a subset of the solvers compatible with Pyomo that can be installed using pip or conda. It includes both commercial and open-source solvers – users are responsible for understanding the license requirements for their desired solver.

Table 1 Available Solvers through pip and conda

Solver	Pip	Conda	License Docs
cplex	pip install cplex	conda install ‑c \ ibmdecisionoptimization cplex	License Docs
CPoptimizer	pip install cplex docplex	conda install ‑c \ ibmdecisionoptimization \        cplex docplex	License Docs
cuOpt	CUDA-version dependent; see the official documentation.	CUDA-version dependent; see the official documentation.	License Docs
cyipopt	pip install cyipopt	conda install ‑c conda‑forge cyipopt	License Docs
glpk	N/A	conda install ‑c conda‑forge glpk	License Docs
Gurobi	pip install gurobipy	conda install ‑c gurobi gurobi	License Docs
HiGHS	pip install highspy	conda install ‑c conda‑forge highspy	License Docs
KNITRO	pip install knitro	N/A	License Docs
MAiNGO	pip install maingopy	N/A	License Docs
PyMUMPS	pip install pymumps	conda install ‑c conda‑forge pymumps	License Docs
SCIP	N/A	conda install ‑c conda‑forge scip	License Docs
XPRESS	pip install xpress	conda install ‑c fico‑xpress xpress	License Docs

Note

We compiled this table of solvers to help you get started, but we encourage you to consult the official documentation of your desired solver for the most up-to-date and detailed information.