
igraph – Network analysis software
Sep 20, 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, …
Network Analysis and Visualization • igraph
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)!
Tutorial — igraph 1.0.0 documentation
igraph can be used to create publication-quality plots by asking the plot() function to save the plot into a file instead of showing it on a screen. This can be done simply by passing the target filename as an …
igraph (R interface)
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.
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 …
R igraph manual pages
R igraph manual pages Use this if you are using igraph from R
python-igraph 1.0.0
python-igraph 1.0.0 Python interface of igraph, a fast and open source C library to manipulate and analyze graphs (aka networks). It can be used to:
Tutorial - igraph
Not too surprisingly, the script is called igraph, and provided that the script is on your path in the command line of your operating system (which is almost surely the case on Linux and OS X), you …
Visualisation of graphs — igraph 1.0.0 documentation
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 …
R igraph manual pages
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 …