Depth-first search on a graph: the stack dives deep and backtracks, building a DFS tree — every push, pop, and visit narrated step by step.
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
DFS Visualizer is a free, browser-based tool that helps you turn raw numbers into clear charts. Depth-first search on a graph: the stack dives deep and backtracks, building a DFS tree — every push, pop, and visit narrated step by step. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.
Visualize the dataset after it has been cleaned enough for reliable labels and numeric values.
Review the preview, copy or download the result, and keep everything local in your browser.
BFS Visualizer: Breadth-first search on a graph: the queue-driven frontier expands ring by ring with every discovery narrated — plus a grid version with walls.
Open toolTopological Sort Visualizer: Kahn's topological sort animated on a task DAG: in-degrees tick down, zero-degree tasks emit in order, and leftover nodes reveal a cycle.
Open toolPathfinding Visualizer: Draw walls and weights on a grid, then watch BFS, DFS, Dijkstra, A*, and Greedy Best-First explore and find the shortest path — with step narration and visit-count comparisons.
Open tool1DFS from A using a STACK (recursion): dive as deep as possible before backtracking. Contrast with BFS's ring-by-ring queue.
stack = [start]while stack not empty:u = pop(); visit upush unvisited neighborsall reachable nodes visited
Stack-driven (or recursive) exploration that dives deep before backtracking. The engine behind topological sort, cycle detection, and connected components.
