NetworkX as fundamental graph format/storage (100 cow points)

SuperCowPowers / workbench

Workbench: A scalable python framework for security research and development teams.

http://workbench.rtfd.org

MIT License

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Open brifordwylie opened 10 years ago

brifordwylie commented 10 years ago

Although we're using Neo4j, there are several reasons why using NetworkX as the 'fundamental' graph format is going to be beneficial:

Storage into the data store (json serialization is supported)
Lots of algorithms that will be useful (Union, Intersection, TONS more...)
NetworkX to D3 will be an easier path than Neo4j to D3
Also thanks to NeoNx taking a NetworkX graph and pushing it to Neo4j database will be straightforward.

jeffbaumes commented 10 years ago

+1. I've also been using networkx a bit lately and it seems pretty solid.

brifordwylie commented 9 years ago

0.3 is in one week, so pushing this one back to 0.4