SpamBayes is a Bayesian anti-spam classifier written in Python.
In other words, SpamBayes is a tool used to segregate unwanted mail (spam) from the mail you want (ham). Before SpamBayes can be your spam filter of choice you need to train it on representative samples of email you receive. After it’s been trained, you use SpamBayes to classify new mail according to its spamminess and hamminess qualities. It’s best to train on recent email, because your interests and the nature of what spam looks like change over time.
When SpamBayes filters your email, it compares each unclassified message against the information it saved from training and makes a decision about whether it thinks the message qualifies as ham or spam, or if it’s unsure about how to classify the message. It then adds its classification to the message, either by adding a header (X-Spambayes-Classification: spam|ham|unsure), modifying the To: or Subject: headers, or adding a “Spam” field to the message. Depending on which SpamBayes application you are using, it may then filter this message for you, or you can set up your own filters (to file away suspected spam into its own mail folder, for example).
Features include:
- Can be used as a POP3 or an IMAP proxy.
- Simple mail filter for use with procmail.
Website: spambayes.sourceforge.io
Support: Wiki
Developer: Tim Peters and others
License: Python Software Foundation
SpamBayes is written in Python. Learn Python with our recommended free books and free tutorials.
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