Python, visualized

Draw a graph. Write Python. Watch it run.

An interactive graph editor where real Python drives the canvas — write a traversal, press run, and see every step animate in front of you.

Open your projects Explore sample graphs

dfs.pyPython

visited = set()

def dfs(node):
    if node in visited:
        return
    visited.add(node)
    for neighbour in graph.getNeighbors(node):
        dfs(neighbour)   # the canvas animates as the graph is read

dfs("A")

Real Python, in your browser

CPython compiled to WebAssembly (Pyodide) with networkx preloaded. No server round-trips — your code runs in a Web Worker next to the canvas.

Watch algorithms think

Plain textbook code animates the canvas by itself — every graph read becomes a frame, with the executing line highlighted in sync. Play, pause, step and scrub through every decision.

Your graphs, saved and private

Sign in with GitHub or Google. Graphs are stored in Postgres behind row-level security — private by default, shareable when you say so.