A simple drag and drop application to help visualise various graph algorithms
Project description
Node Demonstrator
Building a drag and drop desktop (Tkinter) application to help visualise various graph algorithms.
Current progress
- drag and drop interface to build a graph
- can be weighted or unweighted
- in "node" mode...
- click to create a node
- drag to move a node and associated edges
- double-click to rename nodes, if the default names aren't sufficient
- double-right click to delete a node
- in "edge" mode...
- click and drag between nodes to create an edge
- drag to rotate a loopback edge out of the way
- double-click to change the weight of an edge
- double-right click to delete an edge
- choice of stepped or timed trace of supported algorithms
- available algorithms
- breadth-first / depth-first from a given start point (with or without end point, ie traversal and/or search)
- Dijkstra, A*, and Bellman-Ford shortest path
- Prim's and Kruskal's minimum spanning trees
- tree traversal algorithms (within certain constraints)
- available algorithms
- view of the adjacency matrix behind the drawn graph
Usage
- This project uses the ttkbootstrap library (it should have installed as part of the process - need to add a way to override the theme)
- To run, install package then launch with "python -m nodemon"
Future algorithm support
Project details
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