{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/5"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"igraph provides a Python interface to a high-performance C graph library for constructing, analyzing, and visualizing networks and complex graphs.","skillfed_tags":["graph-algorithms","network-analysis","scientific-computing"],"use_cases":["Analyze social networks, citation networks, or biological networks to compute centrality measures and detect community structure","Perform graph algorithms like shortest paths, spanning trees, or clique detection on large datasets","Generate publication-quality network visualizations using Cairo integration for research papers or reports","Study discrete mathematical properties of graphs in academic research or algorithm development","Build network-based applications requiring fast graph operations on millions of nodes or edges"],"what_it_does":"igraph is a Python binding to a high-performance C graph library designed for network research and complex network analysis. It provides data structures and algorithms for constructing graphs, computing network metrics, detecting communities, and analyzing structural properties. The package is aimed at researchers and developers working with graph-based problems in biology, physics, social networks, and discrete mathematics.\n\nThe library's core functionality is written in C for speed, but is exposed through a Python API. Graph visualization is optional and requires separate installation of Cairo bindings (cairocffi or pycairo); the description notes that cairocffi is recommended for Jupyter notebook compatibility. The package supports Python 3.9 and later, with precompiled wheels for most common platforms, reducing installation complexity compared to pure source builds.","worth_installing":"Yes, if you need to work with graphs or networks. igraph is actively maintained, widely used (top 5000 on PyPI), has no known vulnerabilities, and offers substantial performance advantages over pure-Python graph libraries due to its C backend. The copyleft GPL license is a consideration if you plan to redistribute; otherwise it poses no barrier to use. Medium install friction is acceptable given the availability of prebuilt wheels."},"id":"igraph","links":{"html":"https://skillfed.io/packages/igraph","md":"https://skillfed.io/packages/igraph.md","pypi":"https://pypi.org/project/igraph/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-10-23","license_spdx":null,"license_treatment":"copyleft","name":"igraph","python_support":"supports_current","summary":"High performance graph data structures and algorithms"},"popularity":{"monthly_downloads":3425214,"position":2626,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}