Showing 4 open source projects for "data analytics"

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    POCO

    POCO

    Cross-platform C++ libraries for building network applications

    The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++...
    Downloads: 5 This Week
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  • 2
    Amper

    Amper

    Build tool for the Kotlin and Java languages

    Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality.
    Downloads: 0 This Week
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  • 3
    dlib

    dlib

    Toolkit for making machine learning and data analysis applications

    Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is...
    Downloads: 7 This Week
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  • 4

    ckon

    automatic build tool for ROOT data analysis software

    ckon is a C++ program/tool which automatically takes care of compilation, dictionary generation and linking of programs and libraries developed for data analyses within the CERN ROOT analysis framework. This includes parsing include headers to figure out which libraries the main programs need to be linked to. It uses automake/autoconf to be platform independent and GNU install compliant. In addition, m4 macros are automatically downloaded and the according compiler flags included based on a...
    Downloads: 0 This Week
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