Analyzed
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ago.
based on code collected
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Project Summary
category_encoders is a Python library of scikit-learn-style transformers for converting categorical data to numeric representations. It implements many encoding strategies used in machine learning pipelines and is hosted under the scikit-learn-contrib organization. Package docs: https://contrib.scikit-learn.org/category_encoders/ . PyPI: category-encoders.
In a Nutshell, category_encoders...
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has a well established, mature codebase
maintained by a large development team
with increasing Y-O-Y commits -
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in November, 2015
ending with its most recent commit 8 days ago
Quick Reference
https://github.com/scikit-learn-...
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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