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The Caml Hump: Communications and networking :: Email

Recently updated contribs

Older contribs

Bindings with C libraries
OCaml-Milter [25-Sep-2012, version 1.0.0, Stable]
This library provides OCaml bindings to libmilter.
Author: Andre Nathan.
Bindings with C libraries
OCaml-SRS [25-Sep-2012, version 1.0.0, Stable]
This library provides OCaml bindings to libsrs2.
Author: Andre Nathan.
Bindings with C libraries
OCaml-SPF [25-Sep-2012, version 1.0.0, Stable]
This library provides OCaml bindings to libspf2.
Author: Andre Nathan.
Native OCaml libraries
OCamlnet [16-Aug-2012, version 3.6, Mature] Has a Godi packageHas a documentation
A collection of modules for the Objective Caml language which focus on application-level Internet protocols and conventions.
Author: Gerd Stolpmann.
Others
kom [07-Jul-2006, version 1.0, Stable] Has a tutorial
Kom stands for "Keep old mails". It imports emails in a MySQL database and provides a frontend in gtk2 to search and browse the archived emails. Some options can be used to incrementally import mails (do to it each month for example). It can also export mails stored in the database, in mbox format or one-message-per-file format, and generate some statistics.
Author: Maxence Guesdon.
Others
mbox-cleaner [07-Apr-2005, version 1.0.0, Stable]
A tool which throws away doublettes of mails (comparing body-contents). It reads from stdin and writes to stdout.
Author: Oliver Bandel.
Native OCaml libraries
mail-smtp [02-Jun-2003, version 0.1.3, Alpha] Has a documentation
An Objective Caml library implementing part of the SMTP protocol.
Author: Robert Silve.
Major applications
SpamOracle [26-Aug-2002, version 1.4, Stable] Has a documentation
SpamOracle, a.k.a. "Saint Peter", is a tool to help detect and filter away "spam" (unsolicited commercial e-mail). It proceeds by statistical analysis of the words that appear in the e-mail, comparing the frequencies of words with those found in a user-provided corpus of known spam and known legitimate e-mail. The classification algorithm is based on Bayes' formula, and is described in Paul Graham's paper, A plan for spam.
Author: Xavier Leroy.