Open Source Scala Operating System Kernels for Linux

Scala Operating System Kernels for Linux

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

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  • 1

    Debian Unstable/testing alpha.

    Pre-Alpha Console distro for high performance Linux computing.

    Basic Debian INTEL/AMD HPC console/desktop multi purpose. Linux for software devs/QA and thin laboratory clusters. MIC hardware, NUMA and live network memory and full IPv6 are supported. Final alpha release features: ======== * Usb image * General debian repos * VM optimizations * Hugepages by default * CGROUPs optimized by default * ALSA * Latest Debugging / Baremetal kernels * Full Haswell and MIC support in test * Full optimized python support * Full optimized perl support * Java compliance * IPv6 full stack with IPsets * Multipath storage * Overclocking tools * Student/Developer scripts. (git pull, builders) * i915 latest support drivers and gallium. * Kernel patching, testing featurettes * Wi-Fi and bluetooth ipv4 support * Latest GCC versions * Qt, Java, Maven, Desktop improvements Notes ==== Basic Console Pre-alpha build Test and rate for improvemen
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    almond

    almond

    A Scala kernel for Jupyter

    Almond already supports code navigation in dependencies via meta browse, paving the way for more IDE-like features and closer integration with the Scalameta ecosystem. Ammonite is a modern and user-friendly Scala shell. Almond wraps it in a Jupyter kernel, giving you all its features and niceties, including customizable pretty-printing, magic imports, advanced dependency handling, and its API, right from Jupyter. This also makes it easy to copy some code from notebooks to Ammonite scripts, and vice versa. Almond exposes APIs to interact with Jupyter front-ends. Call them from notebooks… or from your own libraries. Several plotting libraries are already available to plot things from notebooks, such as plotly-scala or Vegas. Load the Spark version of your choice, create a Spark session, and start using it from your notebooks.
    Downloads: 0 This Week
    Last Update:
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