Analyzed
about 13 hours
ago.
based on code collected
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ago.
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 17,618 years of effort (COCOMO model)
starting with its first commit in January, 2010
ending with its most recent commit about 18 hours ago
BSD 3-clause "New" or "Revised" License
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Use Trademarks
Required
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
Did You Know...
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in 2016, 47% of companies did not have formal process in place to track OS code
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by exploring contributors within projects, you can view details on every commit they have made to that project
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nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
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30 Day SummaryOct 28 2025 — Nov 27 2025
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12 Month SummaryNov 27 2024 — Nov 27 2025
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