Python Graph Library [closed]

Question

I'm writing a python application that will make heavy use of a graph data structure. Nothing horribly complex, but I'm thinking some sort of graph/graph-algorithms library would help me out. I've googled around, but I don't find anything that particularly leaps out at me.

Anyone have any good recommendations?

Answer 1

There are two excellent choices:

NetworkX

and

igraph

I like NetworkX, but I read good things about igraph as well. I routinely use NetworkX with graphs with 1 million nodes with no problem (it's about double the overhead of a dict of size V + E)

If you want a feature comparison, see this from the Networkx-discuss list

Feature comparison thread

Answer 2

I would like to plug my own graph python library: graph-tool.

It is very fast, since it is implemented in C++ with the Boost Graph Library, and it contains lots of algorithms and extensive documentation.

Answer 3

Have you looked at python-graph? I haven't used it myself, but the project page looks promising.

Answer 4

Also, you might want to take a look at NetworkX

Answer 5

Use the Boost Graph Library - Python Bindings.

Answer 6

Take a look at this page on implementing graphs in python.

You could also take a look at pygraphlib on sourceforge.

Answer 7

I'm having the most luck with pydot. Some of the others are hard to install and configure on different platforms like Win 7.

http://code.google.com/p/pydot/