Version 40 (modified by https://forked.de/tiagopeixoto, 3 years ago) (diff)

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Version 2.2.24 of graph-tool released!

This version contains bug fixes, improvements to random graph generation, much faster implementation of the spectral module, as well as the complete_graph() and circular_graph() convenience functions. Get it in the download section.

graph
}}} = Welcome to graph-tool! = graph-tool is an efficient [http://www.python.org python] module for manipulation and statistical analysis of [http://en.wikipedia.org/wiki/Graph_%28mathematics%29 graphs]. With graph-tool you can do the following: {{{ #!html
  • Easily create directed or undirected graphs and manipulate them in an arbitrary fashion, using the convenience and expressiveness of the python language!
  • Associate arbitrary information to the vertices, edges or even the graph itself, by means of property maps.
  • Filter vertices and/edges edges "on the fly", such that they appear to have been removed from the graph, but can be easily recovered.
  • Instantaneously reverse the edge direction of directed graphs, and easily transform directed graphs into undirected, and vice-versa.
  • Save and load your graphs from files using the graphml and dot file formats, which provide interoperability with other software. You can also pickle your graphs at will!
  • Conveniently draw your graphs, using a variety of algorithms and output formats (including to the screen). graph-tool works as a very comfortable interface to the excellent graphviz package.
  • Collect all sorts of statistics: degree/property histogram, combined degree/property histogram, vertex-vertex correlations, assortativity, average vertex-vertex shortest distance, etc.
  • Run several topological algorithms on your graphs, such as isomorphism, minimum spanning tree, connected components, dominator tree, maximum flow, etc.
  • Generate random graphs, with arbitrary degree distribution and degree correlation.
  • Calculate clustering coefficients, motif statistics, communities, centrality measures, etc.
  • Ad-hoc compilation and execution of C++ code, for efficient implementation of throw-away code for specific projects.
  • And probably more stuff I'm forgetting...
}}} == graph-tool is ''fast''! == Despite its nice, soft outer appearance of a regular python module, the core algorithms and data structures of graph-tool are written in C++, making use of the [http://www.boost.org/doc/libs/release/libs/graph Boost Graph Library], and [http://en.wikipedia.org/wiki/Template_metaprogramming template metaprogramming], with performance in mind. Most of the time, you can expect the algorithms to run just as fast as if graph-tool were a pure C++ library. == graph-tool is ''fully'' documented! == Every single function in the module is documented in the docstrings and in the online [/doc/index.html documentation], which is full of examples. == Getting started == You should probably start by the [/doc/quickstart.html quick start guide], which gives a short overview of the basic features, with some usage examples. == Downloading it == You can get it from the [GraphToolDownload download] page. From there you can grab the latest release. == Problems and bugs == See the [GraphToolSupport support] page for instructions on how to submit bugs or ask for help. == Related software == See the [RelatedSoftware related software] list, for some information of other software out there which is somehow related to graph-tool. == Authorship and license == graph-tool was written by [http://forked.de/TiagoPeixoto Tiago de Paula Peixoto] and is free software, released under the [http://www.gnu.org/licenses/gpl-3.0.html GPL]. {{{ #!html }}}