POPFile!

Over 8 million people use MailWasher as their spam filter

Spamihilator works between your E-Mail client and the Internet and examines every incoming E-Mail. Useless spam mails (Junk) will be filtered out. This process runs completely in the background.

Spam Reader is a free anti-spam add-on for Microsoft Outlook. The software uses the most reliable approach to block junk emails - Bayesian algorithm based on statistical analysis, capable to be adjusted to user's needs and detect up to 98% of spam messages. Spam Reader automatically scans all incoming mails and sends detected spam messages to the special folder for further review.

Professional e-mail security free for private use: With Spamfence.net eleven offers the professional e-mail security of the spam filter and e-mail categorisation service eXpurgate absolutely free for private use!This free spamfence service nevertheless is identical with the commercial eXpurgate.ASP version and reqires only a minimum of time and effort by the user to be activated. eXpurgate - the professional filter from eleven against undesirable e-mail advertisement, free of charge for private users under http://www.spamfence.net/how-does-it-work.html ! »

Spamato is a spam filter system that combines several anti-spam techniques, from which thousands of users benefit. It is available as an add-on for Thunderbird and Outlook, and as a stand-alone proxy for other email clients. IMAP and POP are supported.

SpamSieve is an extremely accurate and easy to use Bayesian spam filter for Mac e-mail programs. Macworld's "Software of the Year".

Most people find spam e-mails the biggest nuisance on the Internet. Today, spam e-mails account for over 80% of all e-mail traffic and their volumes increase daily. Strike back with BullGuard Spamfilter.

SPAMfighter is a free spam filter for Microsoft Outlook, Outlook Express, Thunderbird, Windows Mail and Windows Live Mail, that automatically and efficiently filters spam. Install SPAMfighter now and be spam free in 2 minutes.

The SpamBayes project is working on developing a statistical (commonly, although a little inaccurately, referred to as Bayesian) anti-spam filter, initially based on the work of Paul Graham. 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, we found that a number of alternate methods yielded a more useful response. This is documented on the background page. »