Analyzed
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based on code collected
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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 2,683 years of effort (COCOMO model)
starting with its first commit in January, 2010
ending with its most recent commit 1 day ago
BSD 3-clause "New" or "Revised" License
Permitted
Commercial Use
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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 )
There are no reported vulnerabilities
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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30 Day SummaryMar 19 2024 — Apr 18 2024
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12 Month SummaryApr 18 2023 — Apr 18 2024
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