igraph – The network analysis package 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 …

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. This …

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 …

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and …

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 …

Tutorial (Español) Esta página es un tutorial detallado de las capacidades de igraph para Python. Para obtener una impresión rápida de lo que igraph puede hacer, consulte el Quick Start. Si aún no ha …

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

Tutorial ¶ Tutorial Starting igraph Creating a graph from scratch Generating graphs Setting and retrieving attributes Structural properties of graphs Querying vertices and edges based on attributes …

Description Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods …

Note igraph is updated quite often: if you need a more recent version than your package manager offers, use pip or conda as shown above. For bleeding-edge versions, compile from source (see below).