{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"scikit-network provides graph algorithms and analysis tools for Python, representing graphs as sparse matrices and offering a scikit-learn-inspired API for machine learning on network data.","skillfed_tags":["graph-algorithms","network-analysis","sparse-matrices"],"use_cases":["Analyze community structure or clustering within social networks and collaboration graphs.","Compute node centrality and importance rankings in large network datasets.","Process citation networks, co-authorship graphs, or academic collaboration structures.","Incorporate graph topology as features in machine-learning pipelines.","Perform link prediction or graph embedding on sparse real-world networks."],"what_it_does":"scikit-network is a Python library for analyzing and computing on graph-structured data, using memory-efficient sparse matrix representations compatible with scipy. It combines fast algorithms with an API modeled after scikit-learn, making it accessible to users familiar with the broader Python machine-learning ecosystem. The library depends on numpy and scipy for its numerical and sparse-matrix foundations.\n\nThe package is actively maintained, supports Python 3.10\u20133.14, and is published under a permissive BSD License. It has been in development since 2018 and is cited in peer-reviewed literature, indicating established use in research and production settings. Medium install friction is offset by comprehensive platform coverage with pre-built wheels.","worth_installing":"Yes. scikit-network is actively maintained with no known vulnerabilities, supports current Python versions (3.10\u20133.14), and offers a mature, well-documented API for graph analysis. Medium install friction is manageable with pre-built wheels across major platforms. Suitable for research, production graph analysis, and machine-learning workflows involving network data."},"id":"scikit-network","links":{"html":"https://skillfed.io/packages/scikit-network","md":"https://skillfed.io/packages/scikit-network.md","pypi":"https://pypi.org/project/scikit-network/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-11-19","license_spdx":null,"license_treatment":"permissive","name":"scikit-network","python_support":"supports_current","summary":"Graph algorithms"},"popularity":{"monthly_downloads":1109468,"position":4357,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.33.5"}