Showing 4 open source projects for "gnu/linux"

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    Microsoft365DSC

    Microsoft365DSC

    Manages, configures, and monitors Microsoft 365 tenant configurations

    Automate your Change Management processes for your Microsoft 365 environments by maintaining a single declarative configuration file to manage all of your workloads. Microsoft365DSC allows you to take snapshots of the current configuration of any existing Microsoft 365 tenant. Microsoft365DSC is a configuration management tool for managing Microsoft 365 settings as code, enabling version control and automation.
    Downloads: 0 This Week
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    Java Multiprocessing

    Java Multiprocessing

    Java explicit multiprocessing, SSI and cluster management tool

    ▪ JMP library allows to do multiprocessing in Java with a simple API that resembles Java multithreading. JMP allows running a piece of Java code on a separate process either locally or on remote machine. ▪ If the code in question is not present on the target machine, it can be dynamically uploaded. ▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS. ▪ JMP also contains a simple cluster management / load balancing tool called JMP node. ▪ JMP = SSI +...
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    Downloads: 0 This Week
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  • 3
    MSP Programs & Scripts

    MSP Programs & Scripts

    Programs and PowerShell Scripts for MSP/RMM Admins

    Just a place to collect & share the scripts I've developed as an MSP for my various software systems, like PSA & RMM... and more from other like-minded MSPs who wanted to help others! No guarantee that everything is in PowerShell, C#, or even the latest version, so be sure to read the code comments and other documentation, as well as ask the community. You may even find discussions. -pat
    Downloads: 0 This Week
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  • 4
    nxshell

    nxshell

    Next Shell

    NxShell is a modern, Electron-based terminal emulator that works on all major operating systems out there: Windows, macOS, and Linux.
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    Downloads: 6 This Week
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    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

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