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Visualize BFS and DFS traversal orders on custom graph inputs to understand node exploration patterns.
Visual practice for graph traversal, sorting, complexity understanding, and interview prep.
Paste edges and explore BFS/DFS orders with a visual node map.
Visit Order: A -> B -> C -> D -> E -> F -> G
Nodes detected: 7
Graph algorithms are abstract until you can watch them run. The Graph Traversal Visualizer animates BFS and DFS step-by-step on custom graphs — making the difference in visited order, frontier expansion, and backtracking visually concrete for students and interview preparation.
Run the visualizer on the exact example graph from a problem first. Watching the algorithm execute on familiar data builds intuition faster than re-reading pseudocode.
Check time and space complexity with Complexity Cheatsheet.
BFS explores level by level — ideal for shortest paths. DFS goes deep first — better for cycle detection and topological ordering.
Yes. Add nodes and edges interactively to run traversal on the exact graph structure you are studying.
BFS visits nodes in order of distance from the source. The first time it reaches a node is guaranteed to be the shortest path in unweighted graphs.
Check out our technical guides to learn more about how browser-side processing works.
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