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ST embedded design tool supports any desktop OS

16 May 2016

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STMicroelectronics has revealed that its free development tools for STM32 MCUs is now available to Mac computer users, allowing them to create embedded designs. The STM32 development tools for the OS X operating system support the complete embedded design flow and include the STM32CubeMX graphical configuration tool and System Workbench for STM32 such as the drivers that allow direct use of ST debugging and programming probes, added the company.

The latest release follows the recent launch of corresponding tools for Linux users, making the STM32 family readily accessible to techs and creatives comfortable with any popular computer platform, whether Windows, Linux or OS X operating systems, stated the company.

STM32 development tool

Figure 1: The STM32 development tools for the OS X comprise the STM32CubeMX graphical configuration tool and System Workbench for STM32 including drivers that enable use of ST debugging and programming probes.

Tools for all platforms can be downloaded freely at and They are compatible with the STM32Cube Hardware Abstraction Layer (HAL), middleware components and demonstration code, and ST's Standard Peripheral Library. Users can also take advantage of STM32Snippets low-overhead code examples, STM32Cube expansion software packages, and accelerated hardware development using STM32 Nucleo boards, STM32 Discovery Kits, or fully-featured evaluation boards.

By extending its free tools across the main PC operating systems, ST empowers embedded system designers to choose from over 600 STM32 MCU variants. Devices span the core performance and power spectrum from low-frequency ARM Cortex-M0 to high-speed Cortex-M7, cost-sensitive devices with minimal peripheral integration and low pin-count packages, as well as richly-featured variants with high on-chip Flash density and peripherals such as precision analogue, USB, Ethernet and hardware encryption.

The STM32 MCU family also includes two special ultra-low-power STM32L series, featuring the Cortex-M0 or Cortex-M4 core, which are optimised for the most energy-conscious applications.

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