List of the Top 2 Real-Time Operating Systems (RTOS) for Mac in 2025

Arm Mbed OS is a freely available operating system specifically designed for Internet of Things (IoT) applications, equipping developers with the essential resources to create advanced IoT devices. This powerful operating system is optimized for smart and connected products that utilize Arm Cortex-M architecture, providing features like machine learning capabilities, secure connectivity options, an RTOS kernel, and drivers for a range of sensors and I/O devices. Tailored for the needs of the Internet of Things, Arm Mbed OS encompasses functionalities in connectivity, machine learning, networking, and security, along with an extensive library of software, development boards, tutorials, and real-world examples. It encourages collaboration within a broad ecosystem, supporting over 70 partners across various sectors, including silicon manufacturers, module developers, cloud service providers, and OEMs, thus broadening the options available for developers. By utilizing the Mbed OS API, developers can produce clean, portable, and easy-to-manage application code while also taking advantage of enhanced security, communication, and machine learning features. This integrated solution not only simplifies the development process but also significantly reduces costs, shortens development time, and mitigates risks. Moreover, Mbed OS facilitates innovation by allowing developers to quickly prototype and confidently deploy IoT solutions, ultimately driving technological advancement in the field. The comprehensive support provided by the Mbed community further enriches the development experience, making it an ideal choice for both novice and experienced developers alike.

This system encompasses a wide array of devices, from fundamental embedded environmental sensors and LED wearables to sophisticated embedded controllers, smartwatches, and IoT wireless applications, featuring a configurable architecture that includes stack-overflow protection, permission tracking for kernel objects and device drivers, and enhanced thread isolation through thread-level memory protection across various architectures such as x86, ARC, and ARM, along with distinct userspace and memory domains. Additionally, for systems that do not have a Memory Management Unit (MMU) or Memory Protection Unit (MPU) and those constrained by limited memory, it facilitates the combination of application-specific code with a customized kernel to create a monolithic image that can be seamlessly loaded and executed on the hardware. Within this framework, both the application and kernel code function within a single address space, promoting efficient resource management and performance enhancements. Consequently, this architecture is adept at enabling even the most resource-limited environments to effectively utilize advanced applications and sophisticated functionalities, thereby broadening the scope of what can be achieved in embedded systems.