A graphical user interface can dramatically accelerate all aspects of the HTM development cycle: building a hierarchical network, understanding how each node groups patterns of data, and adjusting the topology and parameters of the nodes.
Click on screenshots to expand. 
three main views
- Creation view: build networks, set parameters and train your network.
- Training Results view: see detailed statistics such as coincidence and group formation for every node in the network.
- Debug view: see the belief distribution of your entire network alongside sensor inputs and how it changes over time.
look ma, no python
- Create, train and debug HTM networks without using any Python programming.
- Make fast adjustments clicking through menus and dialogs rather than poring over lines of code.
- Import networks that were created in Python.
see the forest and the trees
- See top-level views of your network with visual options to highlight individual nodes or links.
- Isolate any specific node and its descendants for easier analysis.
- Drill down to a single node and see its belief distribution or all your available parameters.