Showing 4 open source projects for "c 4 decompiler"

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    AI-powered conversation intelligence software

    Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not.

    Every customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
  • Comet Backup - Fast, Secure Backup Software for MSPs Icon
    Comet Backup - Fast, Secure Backup Software for MSPs

    Fast, Secure Backup Software for Businesses and IT Providers

    Comet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
  • 1
    Perl Data Language
    The PDL module gives standard perl the ability to COMPACTLY store and SPEEDILY manipulate the large N-dimensional data sets that are the bread and butter of scientific computing.
    Downloads: 7 This Week
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  • 2
    SpacePy
    Now maintained at github.com/spacepy/spacepy Space Science library for Python - contains superposed epoch classes, drift shell tracing, access to magnetic field models, streamline tracing, bootstrap confidence limits, time and coordinate conversions, etc.
    Downloads: 0 This Week
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  • 3
    The GPU-BH tree solver is a FLASH4 module to calculate the gravitational potential using a CUDA device.
    Downloads: 0 This Week
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  • 4
    Analysis software for Nbody/SPH or SPH simulations (e.g. performed with Gadget II). See http://sourceforge.net/apps/wordpress/hyplot/about and http://sourceforge.net/apps/trac/hyplot/wiki for more information.
    Downloads: 0 This Week
    Last Update:
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  • Make Your Observability Stack Effortless Icon
    Make Your Observability Stack Effortless

    For Software Engineers, DevOps, Data Architects, and IT Leaders

    The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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