Wednesday, December 18, 2024

ST Releases Embedded Development Tools for OS X

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In a recent development by ST Microelectronics, the development tools for STM32 microcontrollers are now available to Mac users, who can now create embedded designs without leaving their favorite operating environment.
 
The STM32 development tools for the OS X operating system support embedded design flow and comprise the STM32 CubeMX graphical configuration tool and System Workbench for STM32 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.
 
This is followed by the 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.
 
The STM32cubemx and the SW4STM32 tools for all platforms can be downloaded freely from the ST website. Compatibility with STM32 Cube Hardware Abstraction Layer (HAL), middleware components and demonstration code, and ST’s Standard Peripheral Library are some of the listed features. Users can also use STM32 Snippets low-overhead code examples, STM32 Cube expansion software packages, and accelerated hardware development using STM32 Nucleo boards, STM32 Discovery Kits, or fully-featured Evaluation boards.
 
ST features support for embedded-system designers to choose from over 600 STM32 microcontroller variants by extending its free tools across the main PC operating systems.
These 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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