You must be logged in to sponsor igraph
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
-
Szabolcs Horvát szhorvatAssistant professor / complex systems scientist at Reykjavik University.
-
Vincent Traag vtraagSenior Researcher @CWTSLeiden. Computational social sciences, science studies, modelling & networks. Math & sociology.
-
Fabio Zanini iosonofabioPhysics, bioinformatics, virology, evolution, data science, and bioengineering. I usually code in Python, C++, and Javascript.
-
Maëlle Salmon maelleR(esearch) Software Engineer, Blogger
Featured work
-
igraph/igraph
Library for the analysis of networks
C 1,753 -
igraph/rigraph
igraph R package
R 554 -
igraph/python-igraph
Python interface for igraph
Python 1,316