gurobi-optimods is an open-source Python repository of implemented optimization use cases, each with clear, informative, and pretty documentation that explains how to use it and the mathematical model behind it.

gurobi-optimods allows users to:

• quickly apply optimization to solve a specific problem in their field of interest via intuitive, data-driven APIs
• learn about the mathematical model behind their use-case through thorough documentation
• contribute new mods to grow the library

pip install gurobi-optimods

• gurobipy: Python modelling interface for the Gurobi Optimizer
• numpy: The fundamental package for scientific computing with Python
• scipy: Fundamental algorithms for scientific computing in Python
• pandas: powerful Python data analysis toolkit
• gurobipy-pandas: Convenience wrapper for building optimization models from pandas data

Full documentation for gurobi-optimods is hosted on readthedocs.

gurobi-optimods is distributed under the terms of the Apache License 2.0.

For questions related to using gurobi-optimods please use the Gurobi Community Forum.

For reporting bugs, issues and feature requests, specific to gurobi-optimods, please open an issue.

If you encounter issues with Gurobi or gurobipy please contact Gurobi Support.