NT
Nguyen T.
Academic Coach
Mid-Market (51-1000 emp.)
"Excellent toolset for data scientists working with graphs."
What do you like best about networkx?
A python package with pythonic apis. Integration with Pandas and GeoPandas. A plethora of built-in graph algorithms that are relatively fast implementations (not the best, but good enough for most non-production use cases) Review collected by and hosted on G2.com.
What do you dislike about networkx?
Nothing. I use NetworkX as a tool among many tools needed in a solution, so I do not expect it to be able to do everything. I'd like to see the library to focus on its strength: easy to start with and plenty of powerful graph-based algorithm available. Review collected by and hosted on G2.com.