gurobi-optimods: data-driven APIs for common optimization tasks
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.
Features
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
Installation
pip install gurobi-optimods
Dependencies
- 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
Documentation
Full documentation for gurobi-optimods is hosted on readthedocs.
License
gurobi-optimods is distributed under the terms of the Apache License 2.0.
Contact Us
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.
3 maintainers
Metadata
3 maintainers
Release files for gurobi-optimods 3.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gurobi_optimods-3.2.0.tar.gz | 4.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gurobi_optimods-3.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.2 MB
Release files / gurobi_optimods-3.2.0.tar.gz
| Download URL | gurobi_optimods-3.2.0.tar.gz |
|---|---|
| Size | 4.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
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Release files / gurobi_optimods-3.2.0-py3-none-any.whl
| Download URL | gurobi_optimods-3.2.0-py3-none-any.whl |
|---|---|
| Size | 284.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
