Related Software

This is a list of software related in a way or another with graph-tool, which can also be of interest to those interested in graph-tool.

Packages similar to graph-tool

•  igraph: A graph manipulation library written in C, but also with bindings for python and R. Very nice collection of algorithms.
•  NetworkX: A pure python module for graph manipulation.
•  Network Workbench: A Java-based toolkit for network analysis.
•  bgl-python: The official python bindings for the  Boost Graph Library. However, it no longer seems to be maintained.

Libraries and algorithms

•  The Boost Graph Library (BGL) - A really excellent C++ library for graphs. It is used extensively in graph-tool.
•  webgraph: Dealing with very (very) large graphs.
•  Computational Geometry Algorithms Library: Excellent C++ package for computational geometry. It includes integration with the  BGL.

Visualization

•  graphviz: An excellent graph drawing tool from AT&T. It is also accessible as a library, and it is used by graph-tool.
•  flare: Data visualization for the web.
•  http://www.research.att.com/~yifanhu/GALLERY/GRAPHS/index1.html: A collection of large graph drawings, using a  multilevel algorithm.
•  http://zvtm.sourceforge.net/zgrviewer.html: A java graphviz visualizer.
•  http://www.visualcomplexity.com/vc/: Nice pictures to hang on your wall and make you feel good.
•  cytoscape.org: A java GUI-based gene-transcription analysis tool with some impressive-looking network visualization.
•  gephi.org: A java GUI-based graph visualization and manipulation package.
•  The ARF layout: Description of the ARF layout algorithm, by Markus M. Geipel.
•  Pajek: A proprietary windows-only graph visualization package. [please avoid proprietary software in scientific research]

Network Data

•  The Stanford Large Network Dataset Collection: A very useful, and up-to-date collection of different sort of networks.
•  http://www-personal.umich.edu/~mejn/netdata: Mark Newman's network collection.
•  Pajek dataset: Several freely-available networks for the  Pajek package.
•  http://www.cise.ufl.edu/research/sparse/matrices/: The University of Florida Sparse Matrix Collection