A lightweight authenticated publish-subscribe protocol for binary data feeds, commonly used in security monitoring.
hpfeeds is an authenticated publish-subscribe protocol designed for lightweight, secure data distribution. It allows systems to publish and subscribe to channels carrying arbitrary binary payloads, commonly used to stream JSON-formatted security events and monitoring data. The project provides both a broker and client libraries, focusing on simplicity and cross-language compatibility.
Security researchers, threat intelligence teams, and developers building distributed monitoring systems or honeypots that require real-time, authenticated data feeds.
Developers choose hpfeeds for its minimal protocol overhead, ease of implementation in any language, and built-in authentication, making it a reliable choice for secure data exchange in collaborative security environments without proprietary dependencies.
Honeynet Project generic authenticated datafeed protocol
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The protocol's minimal design allows quick implementation in any programming language, reducing development time for custom clients as highlighted in the README.
Built-in identity and secret-based authentication secures data feeds, making it ideal for security applications without additional overhead.
Supports arbitrary binary payloads and a straightforward protocol, enabling interoperability across diverse systems and tools.
Includes an asyncio-based broker and lightweight client library for Python 3, offering efficient async handling for real-time data streams.
Has fewer community-contributed client libraries and integrations compared to established message brokers like RabbitMQ or Kafka, which can hinder adoption.
Lacks advanced messaging capabilities such as message persistence, dead-letter queues, or native clustering, requiring custom solutions for scaling.
Requires manual setup and maintenance of the broker, including SQLite database management for access keys, adding operational burden.