DSPAM milter is an implementation of the milter interface available in several MTAs for DSPAM_, a statistical spam and content filter for e-mail. The milter talks to the DSPAM daemon over the regular DSPAM socket, using the DLMTP protocol.
Development of dspam-milter is hosted on Github_, releases can be downloaded from Pypi_. For questions, bugs and patches, please open an issue_. You can also try to send an e-mail_.
.. image:: https://travis-ci.org/whyscream/dspam-milter.png?branch=master :target: https://travis-ci.org/whyscream/dspam-milter :alt: build status
To install, run pip install dspam-milter in order to get everything
installed. If you downloaded/forked the git repository, you can use python setup.py install in the repository root.
Dspam-milter is a ready to use application. The command dspam-milter should
have been installed in your path. Behaviour of the daemon can be controlled
by a configuration file. You can create the default config by running
dspam-milter --default-config > /etc/dspam-milter.cfg.
In general, dlmtp_* settings under [dspam] need to be configured, and
DSPAM configuration needs to be altered to match these. Details on which
changes need to be made in the DSPAM configuration are also available
in the config file.
When the configuration files have been altered and DSPAM is reloaded to enable
the new config, you can run dspam-milter by executing dspam-milter --config /etc/dspam-milter.cfg. There is also an upstart init script available
in the misc/ folder for those running Ubuntu.
Currently the package contains:
The dspam-milter code is available under the New (3-clause) BSD license. See LICENSE for details.
.. _DSPAM: http://sourceforge.net/projects/dspam .. _Github: http://github.com/whyscream/dspam-milter .. _Pypi: https://pypi.python.org/pypi/dspam-milter .. _issue: https://github.com/whyscream/dspam-milter/issues .. _e-mail: dspam-milter@whyscream.net .. _pymilter: https://pypi.python.org/pypi/pymilter
FAQs
Milter interface to the DSPAM spam filter engine
We found that dspam-milter demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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