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igraph enables fast network analysis across the sciences. Its highly optimized core is programmed in C, on top of which igraph offers interfaces to high-level languages: R, Python and Mathematica. This is a unique feature among network libraries and greatly lowers the barrier to entry for new users.
Meet the team
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Szabolcs Horvát szhorvatAssistant professor / complex systems scientist at Reykjavik University.
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Vincent Traag vtraagSenior Researcher @CWTSLeiden. Computational social sciences, science studies, modelling & networks. Math & sociology.
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Fabio Zanini iosonofabioPhysics, bioinformatics, virology, evolution, data science, and bioengineering. I usually code in Python, C++, and Javascript.
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Maëlle Salmon maelleR(esearch) Software Engineer, Blogger
Featured work
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igraph/igraph
Library for the analysis of networks
C 1,760 -
igraph/rigraph
igraph R package
R 555 -
igraph/python-igraph
Python interface for igraph
Python 1,322