Network analysis libraries

Network science

Python

• NetworkX (http://networkx.github.io): easy to install & use. slow but ok for many occasions.
• NetworKit: seems to be easier to install & pretty fast.
• graph-tool: it uses the Boost library and very fast. A bit difficult to satisfy all the installation requirements. Fairly ok to install with Anaconda (Python)
• igraph (http://igraph.org)
• Stanford Network Analysis Platform (http://snap.stanford.edu/index.html)
• rustworkx: python + rust

Julia

• https://juliagraphs.org

Probably not so useful in most cases

• GraphX: a graph library on top of (Apache Spark).
• http://github.com/xslogic/phoebus - “Phoebus is a distributed framework for large scale graph processing written in Erlang.”
• Conedy
• Cassovary