Showing 4 open source projects for "data flow"

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    Snap7

    Snap7

    32/64 bit multi-platform Ethernet S7 PLC communication suite

    Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full...
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    Downloads: 855 This Week
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  • 2
    whiteboxgui

    whiteboxgui

    An interactive GUI for WhiteboxTools in a Jupyter-based environment

    The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification.
    Downloads: 0 This Week
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  • 3
    Soma-direct

    Soma-direct

    System Omnichannel Marketing Analysis

    Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the...
    Downloads: 0 This Week
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  • 4
    Flow Investigation using N-Dimensions
    Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.
    Downloads: 0 This Week
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