{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"},{"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":"Python interface to the igraph graph library for network analysis and complex graph algorithms; this is a legacy package superseded by the igraph package.","skillfed_tags":["deprecated","graph-algorithms","network-analysis"],"use_cases":["Analyze social network structures, compute centrality measures, and detect communities in large graphs","Perform graph algorithms like shortest path, spanning trees, and connectivity analysis on network data","Generate publication-quality visualizations of network graphs using Cairo rendering","Research complex networks in biology, physics, or information science with high-performance graph operations","Migrate or maintain legacy code that depends on the python-igraph API"],"what_it_does":"python-igraph is a Python wrapper around the igraph C library, providing high-performance data structures and algorithms for working with graphs and networks. It is designed for complex network research and analysis, supporting operations like centrality calculations, community detection, and graph traversal. The package includes optional plotting capabilities via Cairo libraries (pycairo or cairocffi recommended).\n\nThis package is deprecated and no longer maintained as of Sep 1, 2022; the maintainers recommend using the igraph package directly instead. While the repository remains active and receives occasional syncs, new features and bug fixes go into igraph. If you are starting a new project, you should use igraph; python-igraph is only appropriate for maintaining existing code or when legacy compatibility is required.","worth_installing":"No, unless you are maintaining existing code that depends on python-igraph. The package is deprecated and no longer updated as of Sep 1, 2022. For new projects, use the igraph package instead. The deprecation notice is explicit in the package description, and the maintainers have redirected users to the replacement."},"id":"python-igraph","links":{"html":"https://skillfed.io/packages/python-igraph","md":"https://skillfed.io/packages/python-igraph.md","pypi":"https://pypi.org/project/python-igraph/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-10-23","license_spdx":null,"license_treatment":"copyleft","name":"python-igraph","python_support":"supports_current","summary":"High performance graph data structures and algorithms (legacy package)"},"popularity":{"monthly_downloads":596671,"position":5838,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}