Showing 6 open source projects for "java log analyzer"

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  • 1
    PynDora

    PynDora

    Python WebServer Log File Analyzer

    This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules.
    Downloads: 0 This Week
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  • 2

    FileZilla Log Analyzer

    Project's new home: https://github.com/Stunner/FileZilla-Log-Analyzer

    Python scripts that filter, parse, mask, and analyze FileZilla Server Log files. Works on Windows, Linux, and Mac systems. WARNING: NEW VERSIONS ARE BEING POSTED TO GITHUB HERE: https://github.com/Stunner/FileZilla-Log-Analyzer
    Downloads: 0 This Week
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  • 3
    The Secure Remote Log Monitor (SRLM) project provides client and server utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
    Downloads: 0 This Week
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  • 4
    PyLogAlyzer is a Web Log Analyzer in Pure Python (a clone of Awstats). PyLogAlyzer produces a XML result and uses XSLT to generate the HTML files.
    Downloads: 0 This Week
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  • The full-stack observability platform that protects your dataLayer, tags and conversion data Icon
    The full-stack observability platform that protects your dataLayer, tags and conversion data

    Stop losing revenue to bad data today. and protect your marketing data with Code-Cube.io.

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  • 5
    A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.
    Downloads: 0 This Week
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  • 6
    This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
    Downloads: 0 This Week
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