I have noticed that a recurring question is: “What is a good network graph library for language X”. I have played with quite a few of the libraries and I can share my experiences with you.
Python:
NetworkX is a robust library which has built-in visualization but also has an interface to Graphviz using pyGraphviz. (pyGraphviz and NetworkX are written by the same author). NetworkX is open source and a very easy to use.
Perl:
Circos is developed to visualize genomes and other highly complex datasets. It will always use a circular layout but that it often the most appropriate layout if your network is really large and its ‘modularity’ score is low. Circos is open source.
.Net:
NodeXL is developed by Microsoft Research and is both an add-on for Excel and a .Net 3.5 library. It’s pretty open (for Microsoft’s standards) and uses Fruchterman-Reingold algorithm for visualization.
Java:
JUNG2 has recently been released and is also a robust library. Has extended visualization and key metrics support. JUNG2 is open source.
UbiGraph:
UbiGraph has interfaces to different languages including Python (and NetworkX has UbiGraph support), Ruby, PHP, Java, C, C++, C#, Haskell, and OCaml. It has very neat 3D visualization of network graphs using an XML-RPC server. The basic version is free, you have to pay for the professional version.
Standalone:
You can always use an off-the-shelf package such as: Graphviz (Win, Linux, OSX), Pajek (Win), UCINET (Win), or even Visio (Win).
I am sure there are many more packages, but these are the ones that I have used myself. What other libraries or packages are available?
question from:
https://stackoverflow.com/questions/942361/what-is-a-good-network-graph-library-for-language-x 与恶龙缠斗过久,自身亦成为恶龙；凝视深渊过久,深渊将回以凝视…
