7 Integrations with RT-Thread

View a list of RT-Thread integrations and software that integrates with RT-Thread below. Compare the best RT-Thread integrations as well as features, ratings, user reviews, and pricing of software that integrates with RT-Thread. Here are the current RT-Thread integrations in 2024:

  • 1
    Visual Studio Code
    VSCode: Code editing. Redefined. Free. Built on open source. Runs everywhere. Go beyond syntax highlighting and autocomplete with IntelliSense, which provides smart completions based on variable types, function definitions, and imported modules. Debug code right from the editor. Launch or attach to your running apps and debug with break points, call stacks, and an interactive console. Working with Git and other SCM providers has never been easier. Review diffs, stage files, and make commits right from the editor. Push and pull from any hosted SCM service. Want even more features? Install extensions to add new languages, themes, debuggers, and to connect to additional services. Extensions run in separate processes, ensuring they won't slow down your editor. Learn more about extensions. With Microsoft Azure you can deploy and host your React, Angular, Vue, Node, Python (and more!) sites, store and query relational and document based data, and scale with serverless computing.
  • 2
    AWS Cloud9
    AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, PHP, and more, so you don’t need to install files or configure your development machine to start new projects. Since your Cloud9 IDE is cloud-based, you can work on your projects from your office, home, or anywhere using an internet-connected machine. Cloud9 also provides a seamless experience for developing serverless applications enabling you to easily define resources, debug, and switch between local and remote execution of serverless applications. With Cloud9, you can quickly share your development environment with your team, enabling you to pair program and track each other's inputs in real time.
  • 3
    Lua

    Lua

    Lua

    Lua is a free online PDF converter. No download required! Convert PDF to Word DOC, Excel, JPG, PNG, PPT and HTML files, or convert to PDF on the cloud. Follow these steps to combine/merge PDF online: 1. Click Choose PDF Files and select the PDF files you want to merge. 2. PDF Combiner will start the merger job immediately. 3. Wait for the tool to finish the task. 4. Your PDF files will be merged into a single document.
    Starting Price: Free
  • 4
    LVGL

    LVGL

    LVGL

    LVGL is the most popular free and open source embedded graphics library to create beautiful UIs for any MCU, MPU, and display type. Use SquareLine Studio, our drag-and-drop UI editor, to simplify the development. 30+ built-in widgets, 100+ style properties, web-inspired layout managers, and a typography system supporting many languages. LVGL is fully open source and has no external dependencies which makes its porting incredibly simple. It works with any modern MCU or MPU and can be used with any (RT)OS or bare metal setup to drive ePaper, monochrome, OLED, or TFT displays, and even monitors. Besides, it's free even for commercial projects. SquareLine Studio is an easy-to-use drag-and-drop UI editor tool for LVGL where even designers can create fully functional UIs. Just like LVGL, SquareLine Studio is also fully vendor-agnostic. We have a great network of people and companies who can help you design and develop your UIs, implement drivers, or the whole application.
    Starting Price: Free
  • 5
    QEMU

    QEMU

    QEMU

    QEMU is a generic and open-source machine emulator and virtualizer. Run operating systems for any machine, on any supported architecture. Run programs for another Linux/BSD target, on any supported architecture. Run KVM and Xen virtual machines with near-native performance. Guest memory dumps are now fully supported, along with pre-copy/post-copy migration and background guest snapshots. Support for nw DEVICE_UNPLUG_GUEST_ERROR to detect guest-reported hotplug failures. macOS hosts with Apple Silicon CPUs now support ‘hvf’ accelerator for AArch64 guests. M-profile MVE extension is now supported for Cortex-M55. AMD SEV guests now support measurement of kernel binary when doing direct kernel boot (not using a bootloader). Support for vhost-user and numa mem options across all boards.
  • 6
    EJM Construction

    EJM Construction

    Emwin Systems

    The EJMProject system is crucial in managing a project throughout its lifespan, from the estimate to the final accounts. With this system, you can import the Bill of quantities, price it with resources to determine the allowable, choose the supplier’s rate to be used, analyze it and mark it up to come to a sell bill. The first (major) level numbered 1 to 9 reflects the major cost groups such as Plant, Labour, Material, Subcontractor, etc. Every major level can have up to 26 sub-divisions (A to Z). Use it for example to differentiate between unskilled and skilled labor, major and minor plants, the different types of materials. This three-tier resource library results in well-structured resource-base reports such as allowable and variance reports. With the MasterBill you can create recurring items that can be used in rapidly pricing a tender. A MasterBill can be a collection of resources that are commonly used together such as sand and cement to form mortar.
  • 7
    MicroPython

    MicroPython

    MicroPython

    The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.
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