Showing 4 open source projects for "mac os x leopard"

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  • Dominate AI Search Results Icon
    Dominate AI Search Results

    Generative Al is shaping brand discovery. AthenaHQ ensures your brand leads the conversation.

    AthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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  • 1
    Back In Time

    Back In Time

    An easy-to-use backup tool for GNU Linux using rsync in the back

    Back In Time is an easy-to-use tool to backup files and folders. It runs on GNU Linux (not on Windows or OS X/macOS) and provides a command line tool backintime and a GUI backintime-qt both written in Python3. It uses rsync to take manual or scheduled snapshots and stores them locally or remotely through SSH. Each snapshot is in its own folder with copies of the original files, but unchanged files are hard-linked between snapshots to save storage space. It was inspired by FlyBack.
    Downloads: 10 This Week
    Last Update:
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  • 2
    DocFetcher

    DocFetcher

    Desktop search application

    DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and Mac OS X.
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    Downloads: 2,876 This Week
    Last Update:
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  • 3
    File integrity Checker for Mac OS X
    Downloads: 0 This Week
    Last Update:
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  • 4
    RPM Package Manager (RPM) is a powerful package management system capable of installing, uninstalling, verifying, querying, and updating software packages. This is a port of the RPM software, including rpmbuild and yum/APT-RPM, to Darwin and Mac OS X
    Downloads: 4 This Week
    Last Update:
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  • Ango Hub | All-in-one data labeling platform Icon
    Ango Hub | All-in-one data labeling platform

    For AI teams and Computer Vision team in organizations of all size

    AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
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