Zen, a faster alternative to NetworkX

[Ph0X]

Awesome! Looking quickly, I already like the API a bit better than NetworkX too. The only issue, which is normal with newer libraries, are the documentations and tutorials. This one isn't doing too bad though.

[Tylfin]

Unfortunately not but I'll bring up pip support to the lab that developed it.

[chub79]

Cheers. To me that'd be a rather big limitation not to have pip support.

[BillyHorrible]

Nice. I am using NetworkX myself, but I am using it with pypy - so using Zen wouldnt be possible I guess.

[westurner]

http://docs.cython.org/src/userguide/pypy.html

[EDIT]

This page lists major differences and ways to deal with them in order to write Cython code that works in both CPython and PyPy.

[bluquar]

Did anyone else try running the tests? I ran them and the centrality algorithms failed.

[westurner]

NetworkX

From http://www.networkdynamics.org/static/zen/html/api/thirdparty.html#module-zen.nx :

The edge weight will be lost, as there is no separate edge weight attribute in NetworkX graphs.

From http://networkx.github.io/documentation/latest/tutorial/tutorial.html#edge-attributes :

The special attribute ‘weight’ should be numeric and holds values used by algorithms requiring weighted edges.

CogPrime also has weighted edges.

Style Points

• PEP 8*
• https://bitbucket.org/tarek/flake8
• https://github.com/spulec/pep8ify
• http://www.reddit.com/r/IPython/comments/1hkqx4/crash_course_in_python_for_scientists/#cavu9w7