The Workflow Designer is a low-code environment for building multi-disciplinary workflows
using a drag-and-drop interface. Workflows can be easily built by dragging data access,
engineering functions, and data-driven blocks visually to your workflow canvas and
connecting them in the right order to implement your workflow logic. The workflow designer
features 16 design of experiments techniques, 13 machine learning techniques, 16
optimization algorithms, and 27 probability distributions. It also comes with built-in
Python 3.x scripting capabilities that allow you to go beyond the built-in functionality.