Analyzed
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based on code collected
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Project Summary
Super sparse multi-class machine learning with Cython.
thinc is a Cython library for learning models with millions of parameters and dozens of classes. It drives http://honnibal.github.io/spaCy , a pipeline of very efficient NLP components. I’ve only used thinc from Cython; no real Python API is currently available.
Currently the only model implemented is the averaged perceptron, which is surprisingly competitive for these problems.
In a Nutshell, thinc...
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took an estimated 5 years of effort (COCOMO model)
starting with its first commit in June, 2014
ending with its most recent commit over 6 years ago
Quick Reference
https://github.com/honnibal/thinc
MIT License
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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 SummaryOct 16 2025 — Nov 15 2025
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12 Month SummaryNov 15 2024 — Nov 15 2025
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