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What is µ-velOSity RTOS?

The µ-velOSity RTOS is distinguished as the most compact offering in Green Hills Software's collection of real-time operating systems. Engineered as a C library, it boasts high adaptability for different target architectures, which simplifies the integration process. Its minimalistic design works seamlessly with the MULTI IDE, making µ-velOSity not only easy to grasp but also highly accessible for users. By offering a straightforward and concise API, it aids in reducing development timeframes and improving product maintainability. This efficiency can result in significant cost savings and quicker market entry for developers moving from standalone systems or environments without an operating system. Due to its effective design and reduced memory footprint, µ-velOSity excels against many rivals by fitting comfortably within on-chip memory. This strategic choice avoids dependence on off-chip memory, leading to enhanced execution speed. Moreover, the RTOS is crafted to reduce CPU clock cycles during the boot process, a critical aspect for embedded systems that require swift startup capabilities. Furthermore, µ-velOSity is exceptionally optimized for embedded devices that face strict power consumption limitations, guaranteeing high performance without sacrificing energy efficiency. In conclusion, µ-velOSity stands out as a powerful solution for developers in search of a dependable and efficient RTOS for a wide array of embedded applications, enabling innovative creations across various industries.

What is RT-Thread?

RT-Thread, which stands for Real Time-Thread, is a multi-threaded operating system specifically built for embedded real-time applications. This operating system is designed to facilitate multi-tasking, enabling various tasks to operate concurrently. While a single processor core can only handle one task at a time, RT-Thread manages to execute all tasks swiftly and alternates between them based on their priority, which gives users the perception that tasks are running simultaneously. Primarily developed in the C programming language, RT-Thread is straightforward to comprehend and transfer to different environments. It employs object-oriented programming techniques in the design of real-time systems, leading to code that is not only elegant and structured but also modular and highly customizable. RT-Thread is available in various editions. The NANO version features a compact kernel that requires merely 3KB of flash memory and 1.2KB of RAM, making it suitable for devices with limited resources. Additionally, for more capable IoT devices, RT-Thread supports an online software package management tool in conjunction with system configuration utilities, facilitating a user-friendly and rapid modular design process. This versatility allows developers to easily adapt the system to meet their specific project needs.

Media

Media

Integrations Supported

AWS Cloud9
EJM Construction
LVGL
Lua
MULTI IDE
MicroPython
QEMU
TimeMachine
Visual Studio Code

Integrations Supported

AWS Cloud9
EJM Construction
LVGL
Lua
MULTI IDE
MicroPython
QEMU
TimeMachine
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Green Hills Software

Date Founded

1982

Company Location

United States

Company Website

www.ghs.com/products/micro_velosity.html

Company Facts

Organization Name

RT-Thread

Date Founded

2006

Company Website

www.rt-thread.io

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