AntiSpam for email

 

Spamnihilator
Spamihilator works between email client and the Internet and examines every incoming email. Spam mails are filtered out and automatically placed in trashcan. This process runs completely in the background.

The Learning Filter uses the rules of Thomas Bayes (English mathematician, 18th century) and calculates a certain Spam-Probability for every email. This filter has to be trained (with good and spam mail) to work fine. Hence the recognition rate will continuously increase.

In addition Spamihilator uses a Word-Filter, that searches messages for known keywords.

Spamihilator works with most email clients: most popular clients (Outlook Express, Thunderbird) are directly supported, but you can configure in a moment even clients (like Foxmail) not directly supported.

download

OVERALL: VERY GOOD
POPFile

POPFile is an automatic mail classification tool. Once properly set up and trained, it will scan all email as it arrives and classify it based on your training. You can give it a simple job, like separating out junk e-mail, or a complicated one like filing mail into a dozen folders. Think of it as a personal assistant for your inbox.

Not very easy to configure, but very effective against spam (especially when you have trained it well).

download

OVERALL: GOOD
SpamBayes
SpamBayes will attempt to classify incoming email messages as 'spam', 'ham' (good, non-spam email) or 'unsure'. This means you can have spam or unsure messages automatically filed away in a different mail folder, where it won't interrupt your email reading. First SpamBayes must be trained by each user to identify spam and ham. Essentially, you show SpamBayes a pile of email that you like (ham) and a pile you don't like (spam). SpamBayes will then analyze the piles for clues as to what makes the spam and ham different.

The major difference between this and other, similar projects is the emphasis on testing newer approaches to scoring messages. While most anti-spam projects are still working with the original graham algorithm, SpamBayes found that a number of alternate methods yielded a more useful response.

download

OVERALL: GOOD