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Update 11/15/2011

Pebl source code and issues are now hosted at http://github.com/abhik/pebl. This site is only for historical purposes.


Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features:

  • Can learn with observational and interventional data
  • Handles missing values and hidden variables using exact and heuristic methods
  • Provides several learning algorithms; makes creating new ones simple
  • Has facilities for transparent parallel execution using several cluster/grid resources
  • Calculates edge marginals and consensus networks
  • Presents results in a variety of formats

Pebl Documentation includes installation instructions, tutorial and API reference.

Pebl has been developed at the Systems Biology Lab at the University of Michigan and is available with a permissive MIT-style license.

Update 3/6/2009

Pebl is now published in the Journal of Machine Learning Research. Please cite the paper if you use Pebl for your work. Abstract and PDF

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