Showing 3 open source projects for "+data flow"

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    Autologging

    Easier logging and tracing of Python functions and class methods.

    Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
    Downloads: 0 This Week
    Last Update:
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  • 2
    FlowBuffer

    FlowBuffer

    Buffers, forwards, and splits flow data including NetFlow and IPFIX

    FlowBuffer is a flow/netflow buffer and splitter: configure your switch to push flow data into FlowBuffer, and FlowBuffer forwards it to unlimited destinations. Offloads processing from the switch to another machine. Centralized management. Runs on Windows.
    Downloads: 1 This Week
    Last Update:
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  • 3
    RS-232 Data Logger
    Allows you to redirect all communication data from RS232 compliant serial port device into a text file for further analysis. RS232 Data Logger redirects data from any available serial port/ports and works under Virtual Machine.
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    Downloads: 18 This Week
    Last Update:
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