Written by Kevin Murphy.
Last updated 28 July 2008.
If you want your package to be listed, please send me email in the format specified here (use view source to see this properly).
| 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 (No longer maintained) |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 |
| 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 | - |
| 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 | - |
| 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 |
| MIM | HyperGraph Software | N | N | W | G | Y | Y | Y | N | $ | CG | Jtree | Up to 52 variables. |
| 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 | - |