A curated list of awesome open source IoT frameworks, libraries, and software for embedded devices and constrained networks.
Awesome Open IoT is a curated list of open-source frameworks, libraries, and software specifically tailored for Internet of Things development. It solves the problem of discovering reliable, IoT-appropriate tools by filtering projects based on embedded suitability, network constraints, and community activity. The list serves as a specialized directory within the broader Awesome ecosystem.
IoT developers, embedded systems engineers, and hobbyists building connected devices who need to find vetted open-source components for communication, data handling, security, or device management.
Developers choose Awesome Open IoT because it saves time by providing a pre-vetted, focused collection of tools that are proven to work in resource-constrained IoT environments, unlike generic software lists that include irrelevant projects.
A curated list of awesome open source IoT frameworks, libraries and software.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Filters projects for embedded suitability and network constraints, ensuring tools like TinyCBOR for data encoding or microcoap for CoAP are optimized for IoT environments.
Includes niche connectivity options such as LoRaWAN and EnOcean, plus industrial protocols like Modbus and OPC-UA, catering to diverse IoT use cases.
Features implementations in C, Java, Python, Go, and Node.js, as seen with libraries like Gatt for BLE in Go or node-coap for CoAP in JavaScript.
Requires projects to have active commits, significant GitHub stars, and OSI-approved licenses, indicating reliability and ongoing maintenance.
Sections like KNX, RS-485, ZigBee, and Z-Wave are marked 'TBC' (to be completed), showing gaps in coverage for key IoT standards.
Provides only basic info (name, description, license, language) without performance benchmarks, setup complexity notes, or comparison insights.
Relies on community contributions for updates, which may lead to staleness or slow inclusion of emerging projects, as admitted in the contributing guidelines.