OpenBT

OpenBT is an extensible software project that implements a variety of Bayesian tree models for scientific and industry applications, including regression, model mixing, sensitivity analysis and multiobjective optimization.

The heart of OpenBT is a set of C++ tools that can be used directly via the command line or indirectly through the openbt Python package or RopenBT R package, which wrap the tools.

The introduction of a Python wrapper in the OpenBT project was started in this PyPI project space as the openbt package. These efforts were later expanded independently in the OpenBTMixing project, which was based off of the original Bitbucket OpenBT project, and its openbtmixing package. These two projects were merged together with the resulting, modernized Python package being distributed here as the openbt package as of v1.2.0.

This repository and its contents are being established and developed as part of BAND framework.

License & Copyright

Please see LICENSE.

Support

To

• report potential problems with OpenBT or any of the packages derived from it,
• propose a change, or
• request a new feature,

please check if a related Issue already exists before creating a new issue. For all other communication, please send an email to the OpenBT development team

• mpratola@iu.edu
• jcyannotty@gmail.com

Documentation

User and Developer Guides are hosted on ReadTheDocs. Please refer to those documents for information including examples.

Installation & Testing

Refer to the getting started sections in the User Guides related to the tools or packages that you intend to use.

Contributing to OpenBT

Contributions are welcome in a variety of forms; see Contributing in the Developer Guide.

Cite OpenBT

@techreport{openbt2026,
  author      = {Matthew T. Pratola and John C. Yannotty},
  title       = {{OpenBT} User Guides},
  institution = {},
  number      = {Version 1.2.0},
  year        = {2026},
  url         = {https://openbt.readthedocs.io/}
}