Which is better for network analysis: igraph or NetworkX?

I'm trying to decide between igraph and NetworkX for my network analysis project. Which one should I choose?

Both igraph and NetworkX are powerful libraries for network analysis, but they have different strengths. igraph is known for its performance and scalability, especially with large graphs, while NetworkX is more user-friendly and has a rich set of features for smaller graphs. It really depends on your specific needs.

What are the main features of igraph that make it stand out?

igraph offers efficient algorithms for graph manipulation, visualization capabilities, and support for large-scale networks. It also has a variety of built-in functions for community detection, centrality measures, and more.

And what about NetworkX? What are its advantages?

NetworkX is highly flexible and easy to use, making it great for prototyping and smaller projects. It has extensive documentation and a large community, which can be very helpful for beginners.

Can I use both libraries together in a project?

Yes, you can! You can convert graphs between igraph and NetworkX formats, allowing you to leverage the strengths of both libraries in your project.