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Boot to Qt 6.7

By: Qt Group Latest Version: Boot to Qt 6.7 Beta 1
Linux/Unix
Linux/Unix

Product Overview

Develop Scalable Embedded Systems with Dedicated End-to-end Tooling using Boot to Qt.
Qt offers a unified framework for delivering a consistently branded user experience across different platforms. By coding once and deploying anywhere, you save time, ensure a consistent look-and-feel, and reduce dependency on hardware suppliers.
With its broad coverage of industry-grade use cases, Qt delivers out-of-the-box UI components and functionality for the creation of modern, fluid, and dynamic 2D and 3D UIs on any device.
Boot to Qt with Creator IDE features include:
-Pre-built prototyping stack for embedded Linux, based on Yocto project
-Includes Yocto recipes for building the latest Qt versions
-No-setup USB communication from Qt Creator IDE to target device
-Ready to use, one-click build-deploy-and-run and remote debugging

Qt embedded development is typically done in a cross-compilation environment where development tools such as Qt Creator IDE are used in a development host while the embedded hardware is used as a separate target device connected to the development host with cables.
In AWS, the target device is an EC2 instance running the Boot to Qt AMI, and the development host can be either local machine or a separate EC2 instance. You can also use AWS Workspaces for the host side, again on top of the EC2 service. Development host usage requires a separate Qt Device Creation license.
Once you are ready with development and need to test with real hardware, you can enjoy the comprehensive hardware support of the Qt framework.
You can deploy different kinds of projects on your Boot to Qt EC2 instance such as Qt Examples for easy start and projects that you have created yourself with your custom code. You can use Qt Creator's project wizard and create a new Qt Quick project, build and run the project, and deploy it to an EC2 instance.

Version

Boot to Qt 6.7 Beta 1

Operating System

Linux/Unix, Other 4.3

Delivery Methods

  • Amazon Machine Image

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