Computers

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.

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.

Bayesian networks in Java.

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

Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks

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

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

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)

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

Developers of the Hugin tool

Bayesian network, simulation and risk analysis software. Supports exact and approximate inference in hybrid and dynamic networks for decision support, diagnosis, statistical learning and prediction applications.

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.

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

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.