Documentation center

Welcome to the Bayes Server documentation center.

This is the central repository for all documentation about Bayesian networks, the Bayes Server User interface, articles, and walkthroughs.

Our advanced Bayesian network software, used by well known companies and research institutions worldwide enables Prediction, Diagnostics, Decision automation (prescriptive analytics), Anomaly detection, Automated insight (descriptive analytics), Time series modeling, and more.

User interface

The documentation center includes help for the Bayes Server User interface (shown below).

Bayes Server User Interface

Code center

Please visit our Code center for examples of how to use the Bayes Server API.

.NET API

Bayes Server includes a sophisticated .NET API. The API has no dependencies (other than the .NET runtime) making it simple to reference and deploy.

Please visit our .NET API documentation for information on all the classes and function available in the .NET version of the Bayes Server API.

Java API

Bayes Server includes a sophisticated Java API. The API has no dependencies (other than the Java runtime) making it simple to reference and deploy.

Please visit our Java API documentation for information on all the classes and function available in the Java version of the Bayes Server API.

Other languages

In addition to the .NET and Java APIs, Bayes Server can be called from Python, R, Matlab, used from Excel functions and Apache Spark. For examples, please visit our Code center.