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Project Summary
scikit-learn is a Python module integrating various machine learning algorithms under a common interface. It offers a wide range of methods such as Support Vector Machines, linear models (L1, L2 penalized), logistic regression, gaussian mixture models and more. The large number of algorithms aleady implemented allows for easy comparison of accuracy and performance of various algorithms.
In a Nutshell, scikit-learn...
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has a well established, mature codebase
maintained by a very large development team
with stable Y-O-Y commits -
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took an estimated 22,521 years of effort (COCOMO model)
starting with its first commit in January, 2010
ending with its most recent commit 2 days ago
BSD 3-clause "New" or "Revised" License
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Use Trademarks
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Include Copyright
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
Project Vulnerability Report
Security Confidence Index
Poor security track-record
Favorable security track-record
Vulnerability Exposure Index
Many reported vulnerabilities
Few reported vulnerabilities
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55% of companies leverage OSS for production infrastructure
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30 Day SummaryNov 19 2025 — Dec 19 2025
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12 Month SummaryDec 19 2024 — Dec 19 2025
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