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Analyzed 1 day ago. based on code collected 1 day ago.

Project Summary

Winnow efficiently trains and operates any number of unique Naive Bayes classifiers on large sets of content. Written in C, runs on any Unix, very high performance, works with very small
training and unbalanced training sets. Winnow powers http://winnowtag.org, an innovative web feed reader that uses smart tags that learn and find the content you want to see, from more sources than you can follow with traditional feed readers. Subscribe, create, and share tags. Add feeds, import feed lists, publish tags as feeds. http://winnowtag.org shows Winnow’s accuracy and performance searching over 3/4 million items updated daily from 8,000 feeds. Winnow works particularly well with Ruby and Ruby on Rails.

Tags

bayes bayesian bayesianfiltering c recommender recommendersystem textmining

In a Nutshell, Winnow content recommendation engine...

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

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Poor security track-record
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Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

Did You Know...

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    55% of companies leverage OSS for production infrastructure
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    data presented on the Open Hub is available through our API
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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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About Project Security

Languages

Languages?height=75&width=75
XML
46%
C
45%
Ruby
6%
5 Other
3%

30 Day Summary

Feb 3 2021 — Mar 5 2021

12 Month Summary

Mar 5 2020 — Mar 5 2021

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