Gurobi OptiMods: data-driven APIs for common optimization tasks.
Gurobi/gurobi-optimods is an open-source Python repository of implemented optimization use cases using Gurobi, each with clear, informative, and pretty documentation that explains how to use it and the mathematical model behind it.
The package is a collection of independent 'Mods'. Each Mod is intended to be immediately applicable to real use cases. However, we expect that for many practical applications users will need to understand and extend the implementation of a Mod to tailor it to their use case. Read the usage section first for an overview of the design and use case for the OptiMods.
Check out gallery for a quick overview of the current set of implemented Mods. We welcome contributions of new Mods based on use cases you are interested in, as well as fixes and improvements to existing Mods. See contributing and adding for more information on how to get involved in the project.
Please note: while this project is open source, the gurobipy library that it depends on is commercial software and requires a license. See license for further details.
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