
Web-based platform for viewing, sharing, and managing Bayesian network models and probabilistic graphical models in a browser.
Vendor
BayesFusion
Company Website
BayesBox is a web-based application designed to make Bayesian networks and other probabilistic graphical models accessible and interactive through any modern web browser. It serves as both a viewer and a repository, allowing users to upload, manage, and share models without the need for specialized desktop software. BayesBox supports all major model types, including Bayesian networks, influence diagrams, dynamic Bayesian networks, and hybrid models. The platform can be deployed as a cloud service or installed on-premises (Linux or Windows), and is optimized for low memory usage and fast performance, even with large models. It includes features for user management, access control, and dashboard creation, making it suitable for collaborative decision support, diagnostics, and business process applications.
Key Features
Web-Based Model Viewer and Repository Interactive access to models from any browser.
- No installation or plugins required.
- Efficient rendering of large and complex networks.
Supports All Major Model Types Handles Bayesian networks, influence diagrams, dynamic and hybrid models.
- Unlimited number of models can be uploaded and managed.
- Fast enough for networks with thousands of nodes.
Flexible Deployment Available as a hosted service or on-premises installation.
- Runs on Linux or Windows.
- Can be configured for serverless probability calculations.
Case Management and Sharing Save, restore, and share evidence sets for collaborative analysis.
- User and access management with optional login.
- Dashboard functionality for focused views on key variables.
Customization and Branding Adaptable interface for organizational needs.
- Customizable name, logo, and color scheme.
- Mobile browser support for on-the-go access.
Benefits
Accessibility and Collaboration Enables easy sharing and interactive use of models.
- No need for specialized software or technical setup.
- Supports collaborative decision-making and feedback.
Scalability and Performance Handles large models efficiently.
- Suitable for enterprise and research environments.
- Low memory requirements for on-premises deployments.
Security and Control Flexible user and access management.
- Can be fully controlled on-premises for sensitive data.
- Optional password protection and user roles.