networkx Reviews & Product Details

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.

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.

Best tutorial, very well-organized structure, and simplified coding language. Review collected by and hosted on G2.com.

The visualization results is not as pretty as Gephi or R packages such as igraph. It is also difficult to create beautiful dynamic networks. Review collected by and hosted on G2.com.

Many standard graph algorithms

Network structure and analysis measuresmeasures

Well tested with over 90% code coverage Review collected by and hosted on G2.com.

This is python package. I use java as well in different projects so I think it would be great is we can use it in java as well. Review collected by and hosted on G2.com.

It is easy to use, with straightforward functions and attributes. Review collected by and hosted on G2.com.

It is not functional with lots of nodes and edges. Review collected by and hosted on G2.com.

I like the fact that I can customize my graph in any way I need and NetworkX can calculate all the degrees of closeness and nearness for me Review collected by and hosted on G2.com.

I usually use GEPHI to open NetworkX files and its so slow. Wish there was a NetworkX program to open it on Review collected by and hosted on G2.com.

supports a large set of graph algorithms and the APIs are easy to work with, and compatible with other python libraries. Review collected by and hosted on G2.com.

probably better to use other distributed libraries when you work with larger datasets or graphs. Review collected by and hosted on G2.com.

It is very easy to use. Possible can find anything on the internet related to it. Review collected by and hosted on G2.com.

Networkx is a Python library, so when working with big data, it consumes a lot of memory. Review collected by and hosted on G2.com.

The visual aspects of it are so intuitive. Review collected by and hosted on G2.com.

The speed and correlation of maps would help a lot Review collected by and hosted on G2.com.

It has a lot of useful functions. More functions than snap.py library. Review collected by and hosted on G2.com.

There should be more functions to visualize the graps. graph Review collected by and hosted on G2.com.

Methods' names are self-explanatory, intuitive Review collected by and hosted on G2.com.

Visualization capabilities. Integrate machine/deep learning capabilities Review collected by and hosted on G2.com.