Analyzed
1 day
ago.
based on code collected
2 days
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 2,038 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
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 )
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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nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
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30 Day SummaryNov 2 2023 — Dec 2 2023
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12 Month SummaryDec 2 2022 — Dec 2 2023
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