π‘ Pick it for the easiest Python API, broadest ecosystem, and strongest documentation.
NetworkX is a Python package for the creation, manipulation, and study of complex networks.
graph-tool is a Python library for efficient creation, manipulation, and statistical analysis of large graphs and networks. Its C++ implementation and Bayesian inference algorithms make it suitable for network scientists and performance-sensitive researchers.
π‘ Pick it for the easiest Python API, broadest ecosystem, and strongest documentation.
NetworkX is a Python package for the creation, manipulation, and study of complex networks.
π‘ Choose it for a fast, mature alternative with strong Python, R, and C support.
igraph is a collection of network analysis tools with an emphasis on efficiency and ease of use.
Free / Paid
NetworKit Developers
π‘ Pick it when parallel C++ performance matters more than graph-tool's statistical inference features.
NetworKit is an open-source toolkit for large-scale network analysis with Python bindings and a C++ core. It is designed for researchers and...
Free, open source
π‘ Use it for massive social or information networks and Stanford's specialized analysis algorithms.
Snap is a multimedia messaging app known for its disappearing messages and AR features.
π‘ Choose it for interactive network visualization and visual exploration without writing Python.
Gephi is an open-source network analysis and visualization software. It is known for its interactive visualization capabilities.
π‘ Pick it for biological networks, rich annotations, and a large ecosystem of analysis plugins.
Cytoscape is an open-source software platform for visualizing molecular interaction networks and integrating these interactions with gene expression profiles and other state...
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