UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports BN, ID, MSBN, OOBN, HBN, MEBN/PR-OWL, structure, parameter and incremental learning.
I find this tool very helpful. The key UnBBayes improvement over other bayesian modeling tools is in support of Multi-entity bayesian modeling (MEBN) theory and the OWL ontology language and its probabilistic extension PR-OWL. Bayesian Modeling can be looked at as a language for representing uncertain knowledge and relations among entities. The relation may be expressed logically and the uncertainty probabilistically. The MEBN theory is a formal integration of first order logic and probability theory.
In my experience and observation since May 2009,Unbbayes has developed tremendously. Both in terms of the functionalities it provides and the support offered. If the tutorials donot answer my questions, Rommel provides help through email. The tool also provides support for basic BNs to more complex MEBNs. If you had issues with its UI in the past, the latest version(3.52.7) is really cool and user friendly.
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