Compare the Top IoT Operating Systems for Mac as of June 2025

What are IoT Operating Systems for Mac?

IoT operating systems (OS) are specialized software platforms designed to run on Internet of Things (IoT) devices, providing the necessary functionality for resource management, communication, and real-time processing. These operating systems are optimized for low power consumption, small memory footprints, and efficient processing, allowing IoT devices to operate in environments with limited resources. IoT operating systems typically offer features like device control, sensor management, connectivity protocols, and security to ensure that IoT devices perform reliably and securely. They are used in a variety of IoT applications, such as smart home devices, wearables, industrial machinery, and automotive systems. Compare and read user reviews of the best IoT Operating Systems for Mac currently available using the table below. This list is updated regularly.

  • 1
    Mbed OS
    Arm Mbed OS is a free, open-source IoT operating system that includes all the necessary features to develop IoT products. The OS includes everything you need to develop smart, connected products on Arm Cortex-M based hardware, including machine learning capabilities, security, connectivity stacks, an RTOS kernel and drivers for sensors and I/O devices. Arm Mbed OS is designed for the Internet of Things. It is integrated with connectivity, machine learning, networking, and security stacks and is supported with software libraries, development hardware, tutorials and examples. From hardware to the cloud, Mbed OS supports more than 70 silicon, module, cloud, and OEM partners, optimizing your developer choice. By using the Mbed OS API, your application code can remain clean, portable, and simple, while taking advantage of security, communications and machine learning. The integrated solution reduces development cost, time, and risk.
  • 2
    Contiki-NG

    Contiki-NG

    Contiki-NG

    Contiki-NG is an open-source, cross-platform operating system for Next-Generation IoT devices. It focuses on dependable (secure and reliable) low-power communication and standard protocols, such as IPv6/6LoWPAN, 6TiSCH, RPL, and CoAP. Contiki-NG comes with extensive documentation, tutorials, a roadmap, release cycle, and well-defined development flow for smooth integration of community contributions. Unless explicitly stated otherwise, Contiki-NG sources are distributed under the terms of the 3-clause BSD license. This license gives everyone the right to use and distribute the code, either in binary or source code format, as long as the copyright license is retained in the source code.
    Starting Price: $4 per user per month
  • 3
    Raspberry Pi OS

    Raspberry Pi OS

    Raspberry Pi Foundation

    Raspberry Pi Imager is the quick and easy way to install Raspberry Pi OS and other operating systems to a microSD card, ready to use with your Raspberry Pi. Watch our 45-second video to learn how to install an operating system using Raspberry Pi Imager. Download and install Raspberry Pi Imager to a computer with an SD card reader. Put the SD card you'll use with your Raspberry Pi into the reader and run Raspberry Pi Imager. Browse a range of operating systems provided by Raspberry Pi and by other organisations, and download them to install manually.
  • 4
    Micrium OS

    Micrium OS

    Silicon Labs

    At the heart of any embedded OS is a kernel, which provides vital task scheduling and multi-tasking services to ensure that the timing requirements of your application code can be met, even as you regularly update and expand that code with new features. Micrium OS is more than a kernel, though, providing a number of additional modules to help you meet your project’s needs. Micrium OS is provided entirely free of charge for deployment on Silicon Labs EFM32 and EFR32 devices! You can begin adding Micrium’s professional-quality components to your projects today without payment of any licensing fees.
  • 5
    Zephyr

    Zephyr

    Zephyr

    From simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. Implements configurable architecture-specific stack-overflow protection, kernel object and device driver permission tracking, and thread isolation with thread-level memory protection on x86, ARC, and ARM architectures, userspace, and memory domains. For platforms without MMU/MPU and memory constrained devices, supports combining application-specific code with a custom kernel to create a monolithic image that gets loaded and executed on a system’s hardware. Both the application code and kernel code execute in a single shared address space.
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