igraph

Health v2 · maintenance only

Adoption not part of the score

2001 stars · 446 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

igraph is a C library for complex network analysis and graph theory, emphasizing efficiency, portability, and ease of use. It offers bindings for R, Python, and Mathematica, and reached a stable 1.0 API in 2025 after nearly twenty years of development.

Use cases

• analyze large networks and compute centrality, community detection, and shortest paths
• generate random graphs such as Erdős–Rényi models for research
• study complex networks and graph theory in Python or R
• compute cliques, cycles, and other graph structures efficiently
• build spatial network models for scientific computing

When to choose

• you need high-performance graph algorithms on large networks
• you want a mature, stable API with long-term versioning guarantees
• you work in C/C++, R, Python, or Mathematica and need consistent graph functionality across languages

When to avoid

• you need a permissively licensed library (igraph is GPL-2.0)
• you only need simple graph data structures in pure Python without native dependencies
• you want distributed or GPU-accelerated graph processing

Facets

library · maturity stable

math data-science developer-tools data-science mathematics cpp python cross-platform graph-algorithms network-analysis graph-theory complex-networks c-library python-bindings algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="igraph/igraph")