Rspamd VS cppq

• High Performance
  Rspamd is designed to handle hundreds of messages per second, providing high efficiency with low system resource consumption.
• Modular Architecture
  Rspamd has a very flexible modular architecture which allows for the easy integration and customization of modules tailored to specific spam filtering needs.
• Advanced Machine Learning
  Rspamd includes a powerful machine learning component that can significantly improve the accuracy of spam detection by learning from past data.
• Flexible Integration
  Rspamd can be easily integrated with various MTA solutions and is compatible with different mail servers, promoting adaptability in different server setups.
• Open Source
  Being open-source, Rspamd is freely available for modification and distribution, allowing users to customize and contribute to its development.

Possible disadvantages

• Complex Configuration
  Setting up and configuring Rspamd may be complex for users without advanced technical skills, requiring a deep understanding of its architecture and components.
• Limited Documentation
  The available documentation may be insufficient for some users, making it harder to troubleshoot issues or fully utilize all features.
• Community Support Dependent
  Being an open-source project, support can be limited and largely relies on community interaction and available public resources.
• Potential Overhead
  While optimized for performance, inappropriate configuration can lead to unnecessary system load, impacting overall server performance.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

No analysis of Rspamd yet.

Rspamd: fast opensource spam filter

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• The Worst Spam Emails: Inside iLands' AI Agent Hustle

  Thankfully the maintainers of rspamd should find it trivially easy to write a matching pattern for these "agent" emails and send them to the spam queue where they belong. https://rspamd.com/. - Source: Hacker News / about 1 month ago

• Ok, I've migrated email to selfhosted

  Spamassassin or rspamd or ASSP. All very good. Spamassassin just works, but you need to feed it a good cohort of spam and ham (about 1000 messages each). Most people only send it the spam which will then bias it quite a bit and not... Source: over 3 years ago

• SpamMail

  Https://rspamd.com/ is what we use on our mail servers blocks around 60% of incoming emails some get thu but not a lot. Source: over 3 years ago

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Tracking cppq since Nov 2022.