Software Packages for Graphical Models / Bayesian Networks

Written by Kevin Murphy.
Last updated 7 September 2010.

Review articles

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Name Authors Src API Exec Cts GUI Params Struct Utility Free Undir Inference Comments
AgenaRisk Agena N Y W,U Cx Y Y N N $ D JTree Simulation by Dynamic discretisation
Analytica Lumina N Y W,M G Y N N Y $ D sampling spread sheet compatible
Banjo Hartemink Java Y W,U,M Cd N N Y N 0 D none structure learning of static or dynamic networks of discrete variables
Bassist U. Helsinki C++ Y U G N Y N N 0 D MH Generates C++ for MCMC. (No longer maintained)
BayesBuilder Nijman (U. Nijmegen) N N W D Y N N N 0 D ? -
BayesiaLab Bayesia Ltd N N - Cd Y Y Y N $ CG jtree,G Structural learning, adaptive questionnaires, dynamic models
Bayes Server Bayes Server N Y W G Y Y N N $ D RelevanceTree,Varelim Supports inference and learning with Dynamic Bayesian networks and continuous variables
Bayesware Discoverer Bayesware N N WUM Cd Y Y Y N $ D ? Uses bound and collapse for learning with missing data.
B-course U. Helsinki N N WUM Cd Y Y Y N 0 D ? Runs on their server: view results using a web browser.
Belief net power constructor Cheng (U.Alberta) N W W D Y Y CI N 0 D ? -
BayesBlocks Helsinki Python/C++ Y - Y N Y N N 0 Dir Variational Non-Gaussian Latent variable models
Blaise Bonnowitz and Mansinghka Java Y - Y N Y N N 0 Fgraph MCMC, SMC General MC toolkit, also handles non-parametric Bayesian models
BNT Murphy (U.C.Berkeley) Matlab/C Y WUM G N Y Y Y 0 D,U Many Also handles dynamic models, like HMMs and Kalman filters.
BNJ Hsu (Kansas) Java - - D Y N Y N 0 D jtree, IS -
BNL frank rijmen Matlab - - D N N N N 0 D jtree Supports (ordinal) logistic regression CPDs and EM learning
BUGS MRC/Imperial College N N WU Cs W Y N N 0 D Gibbs -
Causal discoverer Vanderbilt N N W - - N Y N 0 D - structure learning only
CoCo+Xlisp Badsberg (U. Aalborg) C/lisp Y U D Y Y CI N 0 U Jtree Designed for contingency tables.
CIspace Poole et al. (UBC) Java N WU D Y N N N 0 D Varelim -
CRFtoolbox Schmidt and Murphy Matlab/C Y - N N Y N N 0 U Loopy BP Conditional random fields, arbitrary structure
DBNbox Roberts et al Matlab - - Y N Y N N Y D Various DBNs
Deal Bottcher et al R - - G Y Y Y N 0 D None Structure learning.
DeriveIt DeriveIt LLC N - - ? ? Y Y ? $ D Jtree, Gibbs Exploits local structure in CPDs.
Elvira Elvira consortium (Spain) Java Y W,U,M Cd,Cx Y Y Y Y 0 D JTree,varelim,IS "Also includes classification, abductive inference and model fusion"
Ergo Noetic systems N Y W,M D Y N N N $ D jtree -
FastInf Jaimovich et al (Hebrew U) C++ Y U,M D N Y N N 0 U JTree,G,VMP Also supports GBP,TRBP
GDAGsim Wilkinson (U. Newcastle) C Y WUM G N N N N 0 D Exact Bayesian analysis of large linear Gaussian directed models.
GeNIe and SMILE Decision Systems Laboratory, University of Pittsburgh SMILE wrappers only Y W,U,M,other Cs,equations W,U,M Y Y Y free D JTree,sampling DBNs, support for diagnostic applications
GGM West et al (Duke) C++ - - G N Y Y N 0 U SL MCMC and stochastic search for structure learning of GGMs
GMRFsim Rue (U. Trondheim) C Y WUM G N N N N 0 U MCMC Bayesian analysis of large linear Gaussian undirected models.
GMTk Bilmes (UW), Zweig (IBM) N Y U D N Y Y N 0 D Jtree Designed for speech recognition.
gR Lauritzen et al. R - - - - - - - 0 - - Various packages
Grappa Green (Bristol) R - - D N N) N N 0 D Jtree -
HdBCS Dobra et al (Washington) C++ - - G N Y Y N 0 U SL stochastic search for structure learning of GGMs
Hugin Expert Hugin N Y W G W Y CI Y $ CG Jtree -
Hydra Warnes Java - - Cs Y Y N N 0 U,D MCMC - IBAyes -Artificial Intelligence Lab @ IBA (Pakistan) -N -N -W -D -Y -N -N -N -0 -D -Junction Tree, Sampling "-"
Infer.NET John Winn, Tom Minka C# Y Y Y N Y N N 0 Y VMP, EP, Gibbs Bayesian parameter estimation as well
JAGS Martyn Plummer Java Y - Y N Y N N 0 Y Gibbs Similar to BUGS
Java Bayes Cozman (CMU) Java Y WUM D Y N N Y 0 D Varelim, jtree -
LibB Friedman (Hebrew U) N Y W D N Y Y N 0 D SL Structure learning
libDAI Mooij et al. C++ Y - D N Y N N 0 Fgraph JTree,VarElim,G,VMP also supports GBP,HAK,LCBP,TreeEP,TRWBP
MIM HyperGraph Software N N W G Y Y Y N $ CG Jtree Up to 52 variables.
Mocapy++ U. Copenhagen C++ Y W,U,M G N Y N N 0 D Gibbs sampling Support for directional statistics
MSBNx Microsoft N Y W D W N N Y 0 D Jtree -
Netica Norsys N WUM W G W Y N Y $ D jtree -
Bayes net learner Moore, Wong (CMU) N N W,U D N Y Y N 0 D SL optimal reinsertion algorithm
PMT Pavlovic (BU) Matlab/C - - D N Y N N 0 D special purpose -
PNL Eruhimov (Intel) C++ - - D N Y Y N 0 U,D Jtree A C++ version of BNT; will be released 12/03.
Pulcinella IRIDIA Lisp Y WUM D Y N N N 0 D ? Uses valuation systems for non-probabilistic calculi.
RISO Dodier (U.Colorado) Java Y WUM G Y N N N 0 D Polytree Distributed implementation.
Sam Iam Darwiche (UCLA) N N ? WU ? (Java executable) G ? Y Y N ? Y 0 D Recursive conditioning Also does sensitivity Analysis
LADR Structured Data N Y - Cd N N Y N $ D none "Structure learning of massive static or dynamic networks"
Tetrad CMU N N WU G N Y CI N 0 U,D SL -
UC Irvine Dechter (UCI) Y N W,U D N N N N 0 UD AND/OR Search Bucket Elimination, AND/OR search for P(evidence), MPE in Bayesian networks
UnBBayes Mario Vieira et al Java - - D Y N Y N 0 D jtree K2 for struct learning
Vibes Winn (MSR Cambridge) Java Y WU Cx Y Y N N 0 D VMP
WinMine Microsoft N N W Cx Y Y Y N 0 U,D SL Learns BN or dependency net structure.
XBAIES 2.0 Cowell (City U.) N N W G Y Y N Y 0 CG Jtree -

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