Showing 3 open source projects for "data flow"

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  • 1

    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
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  • 2
    SSL Logger

    SSL Logger

    Decrypts and logs a process's SSL traffic

    ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. The utility is powered by dynamic instrumentation using the Frida framework, allowing it to intercept...
    Downloads: 3 This Week
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  • 3
    meicd - UNIX command line run daemon that connects to Nortel Meridian MAX MEI TCP/IP ports. Records PBX event information for use in generating reports and and tracking call flow. Simply decodes the protocol and dumps the data into flat files.
    Downloads: 0 This Week
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