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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.

  • Monitor your whole IT Infrastructure Icon
    Monitor your whole IT Infrastructure

    Know what's up and what's new: Monitor all your systems, devices, traffic and applications.

    Caters to tech staff, system Administrators, and companies of any size, from small and medium sized businesses to enterprises that need their IT network to be reliable and easy to monitor in real-time. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine. PRTG optimizes connections and workloads as well as reducing operational costs by avoiding outages while saving time and controlling service level agreements (SLAs).
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  • Comet Backup - Fast, Secure Backup Software for MSPs Icon
    Comet Backup - Fast, Secure Backup Software for MSPs

    Fast, Secure Backup Software for Businesses and IT Providers

    Comet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
    Learn More
  • 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:
    See Project
  • 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:
    See Project
  • 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:
    See Project
  • 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
  • The All-in-One Commerce Platform for Businesses - Shopify Icon
    The All-in-One Commerce Platform for Businesses - Shopify

    Shopify offers plans for anyone that wants to sell products online and build an ecommerce store, small to mid-sized businesses as well as enterprise

    Shopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
    Learn More
  • 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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