Showing 7 open source projects for "inventory python project"

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  • 1
    PyAppExec

    PyAppExec

    Launcher that prepares Python/deps and runs your app like OS-native

    PyAppExec is a cross‑platform open-source launcher and installer that makes Python apps feel native. It locates or installs the required Python runtime, provisions an isolated virtual environment, installs your project’s pip requirements, and handles any external tools requirements or dependencies (e.g., FFmpeg) with version checks and auto-download/extract on Windows/macOS/Linux. The Qt-based installer can scaffold pyappexec.ini, copy/rename the launcher, and (on macOS) bundle a...
    Downloads: 9 This Week
    Last Update:
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  • 2
    opsi

    opsi

    open source client management system, software deployment

    opsi is a Client Management System for Windows and Linux clients based on Linux servers. opsi is used for automatic OS installation, software depolyment, hard- and software inventory, distributed software depots.
    Downloads: 9 This Week
    Last Update:
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  • 3
    This project will host a service which will contain virtual packages (using MS App Virtualization and SVS technologies) of most common Open source apps. Kindly use the tracker to suggest for opensource applications which we shall publish.
    Downloads: 1 This Week
    Last Update:
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  • 4
    A queries management software. It was primary designed for an IT team to manage the incidents, but can be used to manage any query, inside or outside an organization. Can be appropriate for Service Desk management.
    Downloads: 0 This Week
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  • 5
    The DVS Deployable Versioning System is for tracking the development, QA and installation of deployables. It is intended to be used in in-house project environments and uses a CVS style command line interface.
    Downloads: 0 This Week
    Last Update:
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  • 6
    BeOS API and desktop ontop the Linux kernel.
    Downloads: 5 This Week
    Last Update:
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  • 7
    The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
    Downloads: 0 This Week
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