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JGraphT is a free Java graph library that provides mathematical graph-theory objects and algorithms. Although powerful, JGraphT is designed to be simple and type-safe (via Java 5 generics). For example, graph vertices can be of any objects. You can create graphs based on: Strings, URLs, XML ... [More] documents, etc; you can even create graphs of graphs! [Less]

graph-tool is a python module to help with statistical analysis of graphs. Its feature set includes support for both directed and undirected graphs with arbitrary vertex and edge properties, edge/vertex filtering, correlated random graph generation and community detection. It supports also ... [More] several statistical measurements, such as: degree histogram, combined degree histogram, vertex-vertex degree correlation, average nearest neighbours degree, vertex-edge-vertex correlation, clustering coefficients, extended clustering coefficient, assortativity coefficient, betweenness centrality, average distance, component statistics and reciprocity. The core algorithms are written in C++, making use of the Boost Graph Library, and template metaprogramming techniques, with performance in mind. [Less]

This is another library for creating and manipulating graphs. There is simply no other graph library out there which can be handle graphs of the size the author is confronted with efficiently. Whenever possible igraph tries to be also user friendly and portable. igraph started as an additional ... [More] package to the GNU R statistical environment, and still some functions which are hard to implement in C are available only in R (like interactive graphics). Most functions are however now written in C and they can be compiled without R as a separate library. [Less]