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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    Q4OS

    Q4OS

    Efficient, Rock Stable Operating System

    Q4OS is a fast and friendly, desktop oriented operating system based on Debian Linux. It deploys Plasma, optionally Trinity, as desktop environment on top of Debian Linux rock stable base. The goal is to provide long-term supported system with a special emphasis on security. This is exactly what Debian base guarantees. We prefer the Debian development model to keep the core system as immutable as possible. It results in a reliable and stable system that you can definitely rely on. Thanks to unique Q4OS tools a user can rather easily achieve setup of a fitted system eliminating superfluous packages and libraries. ...
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    Downloads: 14,736 This Week
    Last Update:
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  • 2
    Desktop Embedding for Flutter

    Desktop Embedding for Flutter

    Experimental plugins for Flutter for Desktop

    ...The project demonstrated how Flutter’s rendering model and plugin system could extend beyond mobile, influencing subsequent official desktop support. It includes example apps, build files, and notes on platform-specific differences such as window lifecycle and input method editors. Although its long-term role became historical as desktop landed in Flutter proper, the repository remains a useful reference on embedding patterns and native message channels. It also documents trade-offs encountered when adapting mobile-centric assumptions to multi-window desktop environments.
    Downloads: 0 This Week
    Last Update:
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