Browse free open source Python Log Parsers and projects below. Use the toggles on the left to filter open source Python Log Parsers by OS, license, language, programming language, and project status.

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    MongoDB Atlas runs apps anywhere

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  • 1
    Enterprise
    Enterprise is an open source monitor and advanced log parser. Based on Enterprise ship state system controller of Star Trek, It is able to let you know about the state of your services in a given time.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Haproxy Time

    Haproxy Time

    Haproxy connection time log analyser

    A log parser for Haproxy that provide connection time statistics. Haproxy log parser Embeded email reporting
    Downloads: 0 This Week
    Last Update:
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  • 3
    Postfix Log Parser in Python is a log analysis tool written in python language to get statistic reports and detect anomalous behaviours on a mail server based on Postfix and Cyrus
    Downloads: 0 This Week
    Last Update:
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  • 4
    PieStats
    Web based soldat statistics program for Soldat. Log parser is written in Python (hence Pie Stats); web panel is written in PHP. Stats are stored in a MySQL database. GPL Licensed.
    Downloads: 0 This Week
    Last Update:
    See Project
  • No-Nonsense Code-to-Cloud Security for Devs | Aikido Icon
    No-Nonsense Code-to-Cloud Security for Devs | Aikido

    Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.

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  • 5

    apache-logs-to-mysql

    Apache Log Parser and Data Normalization Application

    Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution. Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation. Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development. MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work!
    Downloads: 0 This Week
    Last Update:
    See Project
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