Features:
* Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested
Additional benefits due to Python:
* Allows fast prototyping of new algorithms * Easy to teach * Multi-platform * Allows easy access to almost any database
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