Python Graph Library [closed]

Each Answer to this Q is separated by one/two green lines.

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?

There are two excellent choices:




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

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.

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

Also, you might want to take a look at NetworkX

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

You could also take a look at pygraphlib on sourceforge.

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

I second zweiterlinde’s suggestion to use python-graph. I’ve used it as the basis of a graph-based research project that I’m working on. The library is well written, stable, and has a good interface. The authors are also quick to respond to inquiries and reports.

The answers/resolutions are collected from stackoverflow, are licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 .

Leave a Reply

Your email address will not be published.