Open Source Go Operating System Kernels

Browse free open source Go Operating System Kernels and projects below. Use the toggles on the left to filter open source Go Operating System Kernels by OS, license, language, programming language, and project status.

  • Gen AI apps are built with MongoDB Atlas Icon
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  • 1
    SulinOS

    SulinOS

    Indipendent distro uses inary package system. Sulin is roolling donkey

    Sulin is rolling donkey Gitlab: https://gitlab.com/sulinos Github: https://github.com/sulinos Telegram: https://t.me/sulinos powered by donkey team
    Downloads: 122 This Week
    Last Update:
    See Project
  • 2
    umi-project

    umi-project

    Just bring Linux for a better world

    U M I, pronounce "ou" "ème" "aie" to an approach of "you & I" expression, is meant to be a derivative of Ubuntu, a Linux distribution. U M I is a system that wants generalist, simple and tailored to your needs. M I perhaps as "Maths Infos", "Mission Impossible", "Micro Imagination", "Museum Incarnation", ..., "Mandela Ideologie", ...,"Magne Isapèt" :), ... ; but in reality M I for "Me Inside", inside Linux, inside Debian, inside Ubuntu. This project designates all logistics associated developments. The goal is to promote the development of secure and robust software combining beauty and elegance for Linux platforms .
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    Hawaii

    Hawaii

    Wayland/QtQuick based OS with incremental updates and bundles

    Hawaii is a desktop operating system built on the GNU/Linux stack with a new lightweight and fast Wayland desktop environment written with QtQuick and deeply integrated with systemd. Hawaii delivers incremental and atomic updates which gives users to ability to rollback the whole system to a known good state if a regression happens.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 4
    Glazier

    Glazier

    A tool for automating the installation of Windows OS

    Glazier is an automation framework developed by Google for deploying and managing Windows operating systems at scale. It streamlines the entire Windows imaging process by booting systems into the Windows Preinstallation Environment (WinPE), retrieving installation instructions from a web server, and automatically applying operating systems, software, and configurations. The tool is fully text-based and code-driven, with configurations written in YAML, allowing teams to leverage source control for versioning, collaboration, and quality assurance. By distributing installation data via HTTPS, Glazier ensures scalability and flexibility, supporting both simple local servers and large-scale cloud-based deployments. Its extensibility makes it easy for administrators to create custom actions using Python or PowerShell, enabling tailored automation for diverse enterprise environments. Designed for engineers, Glazier emphasizes repeatability, maintainability, and transparency in Windows.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 5
    elastic-jupyter-operator

    elastic-jupyter-operator

    Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes

    Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to the specified notebooks even if the data scientists do not need them currently. This project proposes some Kubernetes CRDs to solve these problems.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    syzkaller

    syzkaller

    syzkaller is an unsupervised coverage-guided kernel fuzzer

    syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable reports. A distributed architecture coordinates many fuzzing VMs, collects crash signatures, deduplicates them, and bisects to the first bad commit when possible. syzkaller maintains per-kernel “syz” descriptions so it understands arguments, flags, and resources of thousands of syscalls and ioctls across Linux and other kernels. It also ships sophisticated reproducers and minimization routines so developers get small, deterministic test cases they can run locally to fix bugs quickly.
    Downloads: 0 This Week
    Last Update:
    See Project
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