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SpamAssassin

Email Security

Open Source
Free Tier
Self-hosted
OpenMSP Score
62
45
Reddit Impact Score
Github Score
20M
327Stars
83Forks
31KCommits
Apache License 2.0License
Mar 21, 2026Last commit
SpamAssassin is an open-source mail filter that uses a variety of techniques to identify and filter spam. It offers content filtering, Bayesian filtering, and DNS blocklists with extensive customization options and plugin support for mail servers.
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Key Features

Robust Scoring Framework

Uses hundreds of tests and scoring system to classify email, assigning points to various elements like sender address, subject line, and content to determine spam likelihood

Bayesian Filtering

Machine learning-based Bayesian spam filtering that learns from spam and ham (non-spam) emails to improve accuracy over time

Flexible Integration

Encapsulates logic in well-designed API that can be integrated with procmail, sendmail, Postfix, qmail, and many other email systems

DNS Blocklists

Integrates with DNS-based blocklists and collaborative filtering databases to identify known spam sources and patterns

Easy Configuration

Requires minimal configuration with customizable rules stored in plain text, making it easy to add new rules and modify existing ones

Rule-based spam detection

Extensive ruleset analyzing message headers, body, and metadata with scoring system for accurate spam identification.

Pros and Cons

Pros

Industry standard

De facto standard for open source spam filtering

Rule-based filtering

Comprehensive rule-based filtering system

Bayesian filtering

Effective Bayesian statistical filtering

Extensive plugins

Large ecosystem of plugins and rules

Open source

Free and open source with Apache Foundation backing

Cons

Resource intensive

Can be resource-heavy on high-volume servers

Maintenance required

Requires regular rule updates and maintenance

Limited GUI

No native graphical interface

Configuration complexity

Complex configuration for optimal performance

Requires Technical Expertise

Configuration and optimization require technical knowledge of email systems and spam filtering concepts

Feature Comparison

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