[Spambayes] ANNOUNCE: SpamBayes release 1.0.1
ta-meyer at ihug.co.nz
Thu Jan 27 04:12:34 CET 2005
The SpamBayes team is pleased to announce release 1.0.2 of SpamBayes.
As is now usual, this is both a release of the source code and of an
installation program for all Microsoft Windows users.
This is a bug-fix release that fixes a number of minor issues with the 1.0.1
release, but includes no new functionality, and is entirely compatible with
the 1.0 release. A 1.1a1 release, including many new features, will
probably be released soon (probably within a few weeks).
This release fixes a couple of bugs with the sb_server/sb_imapfilter web
interface which are particularly annoying, so we strongly recommend all such
This release also includes the first binary built with Python 2.4 - as a
result, malformed email should no longer be a problem.
Details about the bugs that have been fixed in this release can be found at
You can get the release via the 'Download' page at
Enjoy the new release and your spam-free mailbox :-)
As always, thanks to everyone involved in this release, and, as always, the
Python development team, particularly Barry, Anthony and the rest of the
team responsible for email 3.0.
(on behalf of the SpamBayes team)
--- What is SpamBayes? ---
The SpamBayes project is working on developing a Bayesian (of sorts)
anti-spam filter (in Python), initially based on the work of Paul Graham,
but since modified with ideas from Robinson, Peters, et al.
The project includes a number of different applications, all using the same
core code, ranging from a plug-in for Microsoft Outlook, to a POP3 proxy, to
various command-line tools.
The Windows installation program will install either the Outlook add-in (for
Microsoft Outlook users), or the SpamBayes server program (for all other
POP3 mail client users, including Microsoft Outlook Express). All Windows
users (including existing users of the Outlook add-in) are encouraged to use
the installation program.
If you wish to use the source-code version, you will also need to install
Python - see README.txt in the source tree for more information.
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