Python tools to visualize 100k Vertices and 1M Edges? [closed]

Answer 1

I don't have any experience with it, but tulip seems to be made for that.

Answer 2

Have you considered using ParaView or VisIt? These are two interactive plotting programs which are designed to deal with and plot (very!) large data sets. They both also have a Python scripting interface, so you can automate/control your visualizations from within the Python interpreter.

Answer 3

You should ask on the official wxPython mailing list. There are people there that can probably help you. I am surprised that matplotlib isn't able to do this though. It may just require you to restructure your code in some way. Right now, the main ways to draw in wxPython are via the various DCs, one of the FloatCanvas widgets or for graphing, wx.Plot or matplotlib.

Answer 4

Maybe PyOpenGL? It can be used together with wxPython.

Edit: Just tried the performance without any optimization, it takes 0.2s to draw 100k vertices and 4s to draw 1M edges.

Answer 5

Have you considered graphviz? Not interactive although it was designed from the outset to handle very large graphs (although 1M edges may be beyond even it's capabilities).

There's a python module (pydot) that makes interacting with graphviz simple. Again, can't say for sure it'll scale to your levels. However, it should be easy to find out: installation of both is simple.

hth.

Answer 6

Have you tried Gephi ?

I believe it scales very well.