STMicroelectronics has made its free development tools for STM32 microcontrollers available to Mac computer users, who can now easily create embedded designs without leaving their favorite operating environment. Free Tools from STMicroelectronics Extend Developer Access to STM32 Microcontrollers across All Desktop Environments
The STM32 development tools for the OS X operating system support the complete embedded design flow and comprise the STM32CubeMX graphical configuration tool and System Workbench® for STM321 including the drivers that enable direct use of ST debugging and programming probes. The tools are easy to install and use, as OS X users have come to expect from their equipment.
The current 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.
Tools for all platforms can be downloaded freely at www.st.com/stm32cubemx and www.st.com/sw4stm32. 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 microcontroller 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 analog, USB, Ethernet, and hardware encryption.
The STM32 microcontroller family also includes two special ultra-low-power STM32L series, featuring the Cortex-M0 or Cortex-M4 core, which are optimized for the most energy-conscious applications.
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