Pyomo currently supports the following versions of Python:
CPython: 3.8, 3.9, 3.10, 3.11, 3.12
At the time of the first Pyomo release after the end-of-life of a minor Python version, Pyomo will remove testing for that Python version.
We recommend installation with conda, which is included with the Anaconda distribution of Python. You can install Pyomo in your system Python installation by executing the following in a shell:
conda install -c conda-forge pyomo
Optimization solvers are not installed with Pyomo, but some open source optimization solvers can be installed with conda as well:
conda install -c conda-forge ipopt glpk
The standard utility for installing Python packages is pip. You can install Pyomo in your system Python installation by executing the following in a shell:
pip install pyomo
Extensions to Pyomo, and many of the contributions in pyomo.contrib, often have conditional dependencies on a variety of third-party Python packages including but not limited to: matplotlib, networkx, numpy, openpyxl, pandas, pint, pymysql, pyodbc, pyro4, scipy, sympy, and xlrd.
A full list of conditional dependencies can be found in Pyomo’s setup.py and displayed using:
python setup.py dependencies --extra optional
Pyomo extensions that require any of these packages will generate an error message for missing dependencies upon use.
When using pip, all conditional dependencies can be installed at once using the following command:
pip install 'pyomo[optional]'
When using conda, many of the conditional dependencies are included with the standard Anaconda installation.
You can check which Python packages you have installed using the command
conda list or
pip list. Additional Python packages may be
installed as needed.