What is a Graph BFS DFS Visualizer?
A graph BFS DFS visualizer draws a graph from an edge list and shows the visit order for breadth-first search or depth-first search. It is useful when learning graph traversal, queues, stacks, connected components, and coding interview problems.
For the full visual learning set, browse the Data Structure Visualizers hub.
How to use this graph traversal tool
- Paste one edge per line, such as
A B. - Choose whether the graph is undirected or directed.
- Enter a start node.
- Click Run BFS or Run DFS.
- Compare the highlighted nodes, traversed edges, visit order, and adjacency list.
BFS explores neighbors level by level. DFS follows one path as deeply as possible before backtracking.
BFS vs DFS
Breadth-first search usually uses a queue and is useful for shortest paths in an unweighted graph.
Depth-first search usually uses recursion or a stack and is useful for exploring connected components, cycle checks, and topological-style traversals.
If you need a dependency-safe order for a directed acyclic graph, use the Topological Sort Visualizer. If you are comparing traversal on grids, use the Matrix Traversal Visualizer. If you are comparing traversal output on trees, use the Binary Tree Visualizer. If you need connected components without traversing every query, try the Union Find Visualizer. If you need weighted shortest paths, try the Dijkstra Algorithm Visualizer. If you are comparing ordering algorithms, use the Sorting Algorithm Visualizer.