NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
It allows users to load and store networks in standard and nonstandard data formats, generate many types of random and classic networks, analyze network structure, build network models, design new network algorithms, draw networks, and much more.
NetworkX is a open source library, which means that is free for everyone to use and anyone can contribute to it. For more information, you can visit one of the following resources:
Our repository where you can learn how to use the library.
Thank you for supporting our project! Your sponsorship will help us to mantain and grow our library in order to make scientific computing more open and accessible.
2 sponsors are funding networkx’s work.
Meet the team
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Researcher at Berkeley Institute for Data Science, open source scientific Python developer (NumPy, scikit-image, etc.), author of Elegant SciPy.
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Senior at Michigan Technological University. Looking to get into data science and visualization. Also interested in discrete mathematics and graph theory.
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