Open Source Rust Software for ChromeOS

Rust Software for ChromeOS

Browse free open source Rust Software for ChromeOS and projects below. Use the toggles on the left to filter open source Rust Software for ChromeOS by OS, license, language, programming language, and project status.

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  • 1
    Rust Course

    Rust Course

    It has been the world's most popular language for 8 consecutive years

    The Rust语言圣经 (Rust Language Bible) is a comprehensive, Chinese-language Rust tutorial that aims to take learners from beginner concepts to advanced mastery. The course is carefully designed with a structured catalog, vivid and approachable language, and an engaging style that avoids the dry and mechanical tone of many technical books. It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance optimization, linked list implementations, async programming with Tokio, standard library internals, Cargo usage, and WebAssembly development. The project emphasizes practical learning through exercises, helping users approach Rust study as if it were a university course. It also provides a "Cookbook" section of practical code snippets for common tasks such as file operations, regex handling, and database interactions, allowing learners to quickly reference solutions without searching externally.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Comprehensive Rust

    Comprehensive Rust

    This is the Rust course used by the Android team at Google

    Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust, and FFI. It is designed to be taught in classroom settings but can also be followed independently, making it useful both for structured training and self-study. The materials are presented in a slide-based format with accompanying examples and hands-on exercises to reinforce key concepts. By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Boa

    Boa

    Embeddable and experimental Javascript engine written in Rust

    This is an experimental Javascript lexer, parser and interpreter written in Rust. Currently, it has support for some of the language.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    SafeUtils

    SafeUtils

    110+ developer tools as native MacOS, Linux & Windows desktop apps.

    Tools: https://safeutils.com/barcode-generator https://safeutils.com/color-picker https://safeutils.com/qr-code-generator https://safeutils.com/qr-code-scanner https://safeutils.com/word-counter https://safeutils.com/base-64-decoder https://safeutils.com/diff-checker https://safeutils.com/hex-to-ascii https://safeutils.com/json-formatter https://safeutils.com/lorem-ipsum-generator https://safeutils.com/random-generator https://safeutils.com/time-converter https://safeutils.com/xml-formatter https://safeutils.com/ascii-to-binary https://safeutils.com/ascii-to-hex https://safeutils.com/base-64-encoder https://safeutils.com/binary-to-ascii https://safeutils.com/case-converter https://safeutils.com/csv-to-json https://safeutils.com/decimal-to-ascii https://safeutils.com/html-formatter https://safeutils.com/html-preview https://safeutils.com/html-to-markdown https://safeutils.com/id-generator https://safeutils.com/json-to-csv https://safeutils.com/json-to-xml
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.
    Downloads: 0 This Week
    Last Update:
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