bogofilter Fast Bayesian Spam Filter

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Analyzed about 1 month ago. based on code collected 2 months ago.

Project Summary

Bogofilter is a Bayesian spam filter. In its normal mode of operation, it takes an email message or other text on standard input, does a statistical check against lists of "good" and "bad" words, and returns a status code indicating whether or not the message is spam. Bogofilter is designed with fast algorithms (including Berkeley DB system), coded directly in C, and tuned for speed, so it can be used for production by sites that process a lot of mail.

In a Nutshell, bogofilter Fast Bayesian Spam Filter...

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has had 6,353 commits made by 19 contributors
representing 42,285 lines of code
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is mostly written in C
with an average number of source code comments
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has a well established, mature codebase
maintained by one developer
with increasing Y-O-Y commits
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took an estimated 10 years of effort (COCOMO model)
starting with its first commit in September, 2002
ending with its most recent commit 10 months ago

Quick Reference

Project Links:

Homepage

Code Locations:

https://gitlab.com/bogofilter/bo...

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Project Security

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