We are pleased to announce the launch of the FICO® Xpress Community Projects and Examplesrepository on GitHub. This initiative aims to foster collaboration and knowledge sharing among users of the FICO Xpress optimization suite, providing a centralized platform for community-driven contributions.
The repository is open to submissions from developers, researchers, and practitioners working with any component of the Xpress ecosystem, including Xpress Solver, Xpress Insight, and the suite of APIs available with the Xpress distribution for Python, Mosel, Java, C++, .NET, and others, as well as any open source API. Contributions that demonstrate real-world applications, innovative modeling techniques, or integrations with open-source systems are especially encouraged.
We welcome a wide range of contributions, including but not limited to:
Examples are given by the latest projects conducted by students jointly with the FICO Xpress team:
Contribution guidelines are detailed on the main page of the repository. We emphasize our focus on community and sharing reusable code by requesting all such contributions to be made under Apache 2.0 license.
If you are new to Xpress, try it out by downloading and using the free FICO® Xpress Community license.
Share your feedback or questions in the comments—we’d love to hear from you. Subscribe to our blog or YouTube channel and follow our Jupyter notebooks repo for more tutorials on optimization, Python, and DevOps best practices.
The repository is open to submissions from developers, researchers, and practitioners working with any component of the Xpress ecosystem, including Xpress Solver, Xpress Insight, and the suite of APIs available with the Xpress distribution for Python, Mosel, Java, C++, .NET, and others, as well as any open source API. Contributions that demonstrate real-world applications, innovative modeling techniques, or integrations with open-source systems are especially encouraged.
We welcome a wide range of contributions, including but not limited to:
- Optimization or analytical project examples that illustrate practical use cases or novel modeling approaches.
- Didactical examples, tutorials or notebooks that explain concepts, workflows, or best practices using Xpress tools.
- Enhancements or bug fixes to existing examples or utilities.
- Integrations with open-source platforms, data sources, or visualization tools.
Examples are given by the latest projects conducted by students jointly with the FICO Xpress team:
- Marco Deken: Bike Rebalancing Problem implementation with the FICO Xpress C++ API (GitHub) (Blog)
- Jingwen He: Vessel Schedule Recovery Problem — FICO Xpress Python API Implementation (GitHub)
Contribution guidelines are detailed on the main page of the repository. We emphasize our focus on community and sharing reusable code by requesting all such contributions to be made under Apache 2.0 license.
If you are new to Xpress, try it out by downloading and using the free FICO® Xpress Community license.
Share your feedback or questions in the comments—we’d love to hear from you. Subscribe to our blog or YouTube channel and follow our Jupyter notebooks repo for more tutorials on optimization, Python, and DevOps best practices.
Updated 1 year ago
Version 3.0