Description
Lets Python code create, analyze, and visualize graph structures through the igraph library. It is useful for network analysis, relationships between entities, clustering, paths, and scientific graph workflows.
Researchers, students, and developers use it in notebooks, scripts, and data pipelines. Large graphs can consume significant memory and processing time, so datasets should be sized carefully.