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Python

VISIT, VISIT_EDGE, POST_VISIT = range(3)
def strongly_connected_components(graph):
'''
Find strongly connected components in a graph using iterative
depth-first search.
Based on:
http://code.activestate.com/recipes/578507-strongly-connected-components-of-a-directed-graph/
'''
identified = set()
stack = []
index = {}
boundaries = []
for v in graph:
if v not in index:
todo = [(VISIT, v)]
while todo:
op, v = todo.pop()
if op == VISIT:
index[v] = len(stack)
stack.append(v)
boundaries.append(index[v])
todo.append((POST_VISIT, v))
todo.extend([(VISIT_EDGE, w) for w in graph[v]])
elif op == VISIT_EDGE:
if v not in index:
todo.append((VISIT, v))
elif v not in identified:
while index[v] < boundaries[-1]:
boundaries.pop()
else:
# op == POST_VISIT
if boundaries[-1] == index[v]:
boundaries.pop()
scc = stack[index[v]:]
del stack[index[v]:]
identified.update(scc)
yield scc