Probabilistic Suite
Community Hub
The central resource for users and developers of the Deltares Probabilistic Suite: a framework for uncertainty, reliability, and risk-based engineering analysis.
● Used in national flood-safety assessments in the Netherlands and applied to geotechnical projects
The Probabilistic Suite enables quantitative analysis of uncertainty, reliability, and sensitivity in engineering and scientific models.
Three tightly integrated components: choose your entry point or use all three together.
High-performance routines for reliability, uncertainty, and sensitivity analyses. The computational core powering the entire suite.
A user-friendly Python interface to the probabilistic kernel. Enables scripting, automation, and integration with your toolchain.
A graphical user interface for setting up, executing, and visualizing probabilistic analyses. No coding required!
Why engineers use the suite
Multi-interface, single engine
A graphical interface for practitioners, a clean Python API for scripting and automation, and a .NET layer for application builders. All running on one consistent, high-performance C++ engine underneath.
Institutional trust
Part of the Deltares software product line. Every component is thoroughly reviewed, tested, validated, documented, and actively maintained in stable release. Trusted for the flood safety assessment of the Netherlands.
Plug in your own model
Proven integration with D-Series, FEM solvers, and more. If your model can be driven by a Python wrapper, it connects directly to the probabilistic engine.
One library, complete workflow
From uncertainty definition to sensitivity analysis, reliability methods, and system assemblage: the full probabilistic workflow in a single framework, with methods that chain into end-to-end analysis pipelines.