Gurobi Optimization
Mathematical optimization solver for decision-making models
About Gurobi Optimization
Gurobi Optimization develops the Gurobi Optimizer, a solver for linear, mixed-integer and related mathematical programs used for scheduling, routing and planning. It also offers open source tooling to embed trained machine learning models in optimization models.
Common use cases
- Supply chain planning
- Workforce scheduling
- Energy dispatch
- Prescriptive analytics on ML forecasts
Products and services
Gurobi Optimizer
Solver for linear, mixed-integer and quadratic optimization problems.
Gurobi Machine Learning
Open source package to embed trained ML models into optimization models.
Gurobi Cloud
Hosted compute for solving optimization models.
Key features
- MIP and LP solvers
- Python and other APIs
- Cloud solving
- ML model embedding
- Parallel solving
- Academic licensing
Integrations
- Python
- Pyomo
- AMPL
- scikit-learn
- PyTorch
- AWS
- Microsoft Azure
Gurobi Optimization alternatives
- FXFICO Xpress
- ICIBM CPLEX
- MathWorksMATLAB and Simulink software for engineering and scientific computing, including ML
- HEHexaly
FAQs
Is Gurobi an ML tool?
It is an optimization solver rather than an ML platform; it complements ML by turning predictions into optimal decisions.
How is it licensed?
Commercial licenses, with free academic licenses available.
Which languages does it support?
Python, Java, C++, .NET, MATLAB and R, among others.

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