A curated list of MQTT brokers, clients, tools, resources, and more for IoT and messaging applications.
Awesome MQTT is a curated GitHub repository that aggregates MQTT-related software, libraries, tools, and resources. It helps developers and IoT practitioners discover brokers, clients, and integrations for building MQTT-based systems, from simple messaging apps to complex IoT networks.
IoT developers, embedded systems engineers, smart home enthusiasts, and anyone working with MQTT who needs a centralized reference for tools and libraries.
It saves time by providing a vetted, organized list of MQTT resources across multiple platforms and use cases, eliminating the need to search scattered sources.
Curated list of MQTT brokers, clients, tools, resources and more.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The README organizes resources into over 20 detailed sections like Brokers, Clients, Tools, and Smart Home Interfaces, enabling targeted discovery without sifting through scattered sources.
It actively invites contributions via clear guidelines, ensuring the list evolves with the MQTT ecosystem, as evidenced by the 'Contribute' section linking to contribution rules.
Explicitly highlights resources for MQTT 3.1, 3.1.1, and 5.0, such as in the Brokers section listing HiveMQ and EMQ X, aiding compatibility planning.
Dedicated sections for smart home hardware interfaces, industrial applications, and monitoring tools cater directly to IoT developers, with entries like zigbee2mqtt and Home Assistant.
The list merely aggregates links without assessing tool reliability, security vulnerabilities, or maintenance status, forcing users to perform due diligence independently.
Reliance on community contributions means some resources may be deprecated or unmaintained, as there's no version tracking or automated update checks in the static README.
As a markdown-based directory, it offers no search, filtering, or user ratings, limiting usability compared to dynamic platforms with real-time feedback or examples.