Benchmark of popular graph/network packages v2

This is an update of a benchmark of popular graph / network packages post. This study aims to serve as a starting point for anyone interested in applied graph or network analysis. The featured network packages offer a convenient and standardised API for modelling data as graphs and extracting network related insights. Some common use cases include finding the shortest path between entities or calculating a measure of centrality such as the page rank score. [Read More]

Benchmark of popular graph/network packages

This post is superseded by an updated benchmark In this post I benchmark the performance of 5 popular graph/network packages. This was inspired by two questions I had: Recently, I have been working with large networks (millions of vertices and edges) and often wonder what is the best currently available package/tool that would scale well and handle large scale network analysis tasks. Having tried out a few (networkx in Python and igraph in R) but on different problems, I thought it would be nice to have a head to head comparison. [Read More]