Dec 26, 2025 · igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. igraph is open source and free. igraph can be programmed in R, Python, …

For an overview of igraph’s functionality see the reference index. It includes experimental functions on which we especially welcome feedback (but feedback on any function is appreciated)!

igraph is a fast and open source library for the analysis of graphs or networks. The library consists of a core written in C and bindings for high-level languages including R, Python, and Mathematica.

Tutorial This page is a detailed tutorial of igraph ’s Python capabilities. To get an quick impression of what igraph can do, check out the Quick Start. If you have not installed igraph yet, follow the section …

R igraph manual pages Use this if you are using igraph from R

Graph analysis igraph enables analysis of graphs/networks from simple operations such as adding and removing nodes to complex theoretical constructs such as community detection. Read the API …

The main goals of the igraph library is to provide a set of data types and functions for 1) pain-free implementation of graph algorithms, 2) fast handling of large graphs, with millions of vertices and …

Various vertex shapes when plotting igraph graphs vertex.shape.pie Using pie charts as vertices in graph plots align_layout() Align a vertex layout This function centers a vertex layout on the …

Post specific igraph questions on Stack Overflow. Make sure that you include the igraph tag and that you include a minimal reproducible example, complete with code and data.

igraph supports inline plots within a Jupyter notebook via both the Cairo and matplotlib backend. If you are calling igraph.plot from a notebook cell without a matplotlib axes, the image will be shown inline …