Showing 2 open source projects for "pc linux phoenix"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

    Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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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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    RufasSlider

    RufasSlider

    Klotsky class block slider puzzles.

    RufaSlider is a collection of 16 different block slider puzzles for kids and casual puzzlers that works on laptops and PCs running Windows, OSX or GNU/Linux. It includes a Klotski-style family, a DirtyDozen family, and a Traffic-Rush family. And now these puzzle families come with AutoSolvers to help you. The Klotski family uses rectangles of 4 sizes: 1x1, 2x2, 1x2, 2x1. The objective in each game is stated near the window top, but usually involves moving a large block to a specified...
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  • 2

    gxLibrary : C++ (CUDA+AMP+CPU)

    C++ library for easy simulations on any CUDA/AMP/CPU or remote PC

    Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for...
    Downloads: 0 This Week
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