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
Supports hard and soft structural priors
Has facilities for transparent parallel execution
Calculates edge marginals and consensus networks
Presents results in a variety of formats
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