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.

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    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
    Leader badge
    Downloads: 468 This Week
    Last Update:
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  • 2
    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: 4 This Week
    Last Update:
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  • 3
    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: 1 This Week
    Last Update:
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  • 4
    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:
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