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libSieve provides a library to interpret Sieve scripts, and to execute those scripts over a given set of messages. The return codes from the libSieve functions let your program know how to handle the message, and then it's up to you to make it so. libSieve makes no attempt to have knowledge of how SMTP, IMAP, or anything else work; just how to parse and deal with a buffer full of emails. The rest is up to you!

OSBF-Lua (Orthogonal Sparse Bigrams with confidence Factor) is a Lua C module for text classification. It is a port of the OSBF classifier implemented in the CRM114 project. This implementation attempts to put focus on the classification task itself by using Lua as the scripting language, a powerful yet light-weight and fast language, which makes it easier to build and test more elaborated filters and training methods.

Email::Abstract provides module writers with the ability to write representation-independent mail handling code. For instance, in the cases of Mail::Thread or Mail::ListDetector, a key part of the code involves reading the headers from a mail object. Where previously one would either have to specify the mail class required, or to build a new object from scratch, Email::Abstract can be used to perform certain simple operations on an object regardless of its underlying representation.

This is a module for finding a subset of RFC 822 email addresses in arbitrary text. The addresses it finds are not guaranteed to exist or even actually be email addresses at all, but they will be valid RFC 822 syntax. Email::Find will perform some heuristics to avoid some of the more obvious red herrings and false addresses, but there's only so much which can be done without a human. -Anton <tobez@FreeBSD.org>

Mail::Audit was inspired by Tom Christiansen's audit_mail and deliverlib programs. It allows a piece of email to be logged, examined, accepted into a mailbox, filtered, resent elsewhere, rejected, replied to, and so on. It's designed to allow you to easily create filter programs to stick in a .forward file or similar. Mail::Audit groks MIME; when appropriate, it subclasses MIME::Entity. Read the MIME::Tools man page for details.

POP3VScan is a transparent POP3-Proxy with virus-scanning capabilities. This means that all your POP3-Clients in the Network can't fetch mails from the internet without that POP3VScan have scanned it. If a virus has been found the mail is replaced with a notification and the original (infeceted) version is stored on the harddisc. Transparent means, that neither the client nor any of the used POP3-servers has to be configured.

Bogofilter is a trainable email spam detector. Bogofilter takes an email message or other text on standard input, parses it into words, does a statistical check against databases of "good" and "bad" words, and returns a status code indicating whether or not the message is spam. Bogofilter decodes base64 or quoted-printable encoded texts and ignores non-text attachments and HTML comments. The supported database backends are Berkeley DB, QDBM and SQLite3.

smtp-cli is a powerful SMTP command line client with a support for advanced features, such as STARTTLS, SMTP-AUTH, or IPv6 and with a scriptable message composition capabilities supporting anything from simple plain-text messages right up to building complex HTML emails with alternative plain-text part, attachments and inline images. The MIME-Type of the attachments can either be guessed automatically or alternatively set on the command line, separately for each attachment if required.

dlmodeler is a set of user-friendly functions to simplify the state-space modelling, fitting, analysis and forecasting of Generalized Dynamic Linear Models (DLMs). It includes functions to name and extract individual components of a DLM, build classical seasonal time-series models (monthly, quarterly, yearly, etc. with calendar adjustments) and provides a unified interface compatible with other state-space packages including: dlm, FKF and KFAS.

The MPFR library is a C library for multiple-precision floating-point computations with exact rounding (also called correct rounding). It is based on the GMP multiple-precision library. The main goal of MPFR is to provide a library for multiple-precision floating-point computation which is both efficient and has a well-defined semantics. It copies the good ideas from the ANSI/IEEE-754 standard for double-precision floating-point arithmetic (53-bit mantissa).