- 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)
- GraphLab, GraphChi
- GraphX: a graph library on top of (Apache Spark).
Probably not so useful #
- APGL (another Python graph library)
- http://github.com/xslogic/phoebus - "Phoebus is a distributed framework for large scale graph processing written in Erlang."
- Conedy
- Cassovary
Incoming Links #
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- More suggestions...