WEBWEAVR-III is a Java application that supports the construction of Bayesian networks, inference in standard and dynamic Bayesian networks and decomposable Markov networks, construction and verification of multiply-sectioned Bayesian networks (MSBNs), inference in multi-agent MSBNs, and learning decomposable Markov networks.

A tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning Group of Professor Adnan Darwiche at UCLA.

Robert Dodier's open source package for distributed, heterogeneous belief networks in Java - allows different conditional distributions

Tool for propagating uncertainty through local computations based on the general framework of valuation systems proposed by Shenoy and Shafer.

Netica is a complete program for working with belief networks and influence diagrams. Feature compiles belief (Bayesian) networks into a junction tree of cliques for fast probabilistic reasoning.

Windows program for graphical modelling.

Makers of Analytica, visual software tool for creating, analyzing, and communicating quantitative business models.

Builds and licenses diagnostic software based upon Bayesian Belief Networks for medical, industrial and management applications. Software includes editors/compilers, test/review tools and inference engines embeddable in stand-alone and web-based applications.

Most up-to-date list available.

Bayesian networks in Java.

A probabilistic reasoning tool that allows its user to model uncertain situations and to perform inference using Bayesian networks and its variants such as Influence Nets. The tool is developed by the Artificial Intelligence Lab @ IBA and currently works in Windows environment.

Developers of the Hugin tool

GeNIe is a development environment for building graphical decision-theoretic models running under Windows operating systems. SMILE is its portable inference engine, consisting of a library of C++ classes, currently compiled for Windows, Solaris and Linux.

A data mining software company that has a fully automated data modeling and predictive analytics package.

BAYDA software implements Bayesian predictive discriminant analysis, where the aim is to build a model for predicting the value of one discrete (class, group, category) variable using other variables.

Develops and exploits proprietary Relational Bayesian Modeling (RBM) technology and applications that provide real-time, actionable results from large amounts of dynamic, multi-faceted, ambiguous information.

BNet.Builder is a desktop application for rapidly creating Belief Networks, entering information, and getting results. BNet.EngineKit is a developer toolkit for researchers and engineers to use to embed belief networks in software applications.

Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods.

BNet.Builder is a belief network software application. BNet.EngineKit provides an embeddable engine.

System based on Jie Cheng's three-phase belief network construction algorithm. Includes a wizard-like user interface and a belief network construction engine.

Very generic and free (LGPL) Belief Network Framework in C++ - supports a broad range of knowledge and dependency types for network variables and clusters of variables

Open-source suite of software tools for research and development using graphical models of probability, published by Kansas State University Laboratory for Knowledge Discovery in Databases (KDD)

Kevin Murphy's MATLAB toolbox - supports dynamic BNs, decision networks, many exact and approximate inference algorithms, parameter estimation, and structure learning