BAYESLAB · LEARNING RESOURCES
Your next Bayesian network workspace. Right in the browser.
Looking for a GeNIe alternative? BayesLab brings visual modelling, probability exploration, and decision analysis into one approachable browser workspace. Open a link and start building.
By the BayesLab team · Updated 18 September 2026
Spend your time modelling, not setting up.
BayesLab puts the model at the centre of the experience. Draw variables and relationships, enter conditional probabilities, and observe how evidence changes the picture. The current editor is free to use, with no installation or account required to get started.
For a lecture, a tutorial, or your own study session, that means a straightforward starting point: share the link, open a model, and explore the same ideas together.
Why choose BayesLab?
| Your workflow | What BayesLab brings |
|---|---|
| Start a model | A visual browser canvas with chance, decision, and utility nodes. |
| Explore uncertainty | Editable probability tables and updated beliefs as you set evidence. |
| Understand the result | Worked explanations, learning tools, and built-in examples. |
| Compare possibilities | Evidence scenarios and expected-utility exploration for decision choices. |
| Take your work with you | Downloadable .bayes projects, model-sharing links, and diagram exports. |
A fresh approach to the GeNIe workflow
If you know GeNIe, the core ideas will feel familiar: variables, relationships, probability tables, and evidence. BayesLab presents those ideas in a browser-first workspace, with learning resources close at hand. GeNIe Modeler is a desktop application; BayesLab’s starting point is simply a web link.
Our ambition is to make BayesLab your go-to alternative for Bayesian modelling. The features above are available today, and university pilot feedback will help shape what comes next.
Bring your next exercise into BayesLab
Start a fresh model, give each variable meaningful states, connect the relationships, and enter your probability tables. Recreating an exercise is also a useful way to examine its assumptions. Save your work as a .bayes project and share a model snapshot by link when you are ready to discuss it.
From the first question to the “aha” moment
Build the two-node rain and wet-pavement model in our Bayesian network introduction, then predict how observing wet pavement should change your belief in rain. The educator guide turns it into a classroom activity. For a richer built-in example, try Rain, Sprinkler & Wet Grass in the editor.
BayesLab is an independent project. It is not affiliated with or endorsed by BayesFusion. GeNIe and SMILE are BayesFusion product names.
Desktop product reference: GeNIe Modeler, checked 18 September 2026. BayesFusion also offers browser-access products; this page refers to GeNIe Modeler.