Summary
A Python application built with pygame and pygame-gui to visualize common graph search algorithms. It provides an interactive interface to configure start and goal coordinates, select search parameters, and control the execution flow (start, pause, abort, and step-by-step).
Lessons Learned
Developing this tool reinforced the theoretical mechanics of pathfinding algorithms. It also demonstrated the architectural necessity of decoupling algorithm state and computation from the application’s rendering loop to ensure fluid UI updates during execution.
Algorithms and Configuration
The application supports Depth-First Search (DFS), Breadth-First Search (BFS), Uniform Cost Search (UCS), Greedy Search, and A*. Users can evaluate the behavior of these algorithms by applying different cost and heuristic constraints.