Best Open Source Python Log Parsers

Python Log Parsers

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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.

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Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.

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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: 2013-05-08
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2

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: 2013-05-30
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3

PLogPy

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: 2013-04-22
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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: 2014-07-04
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Powerful Website Security | Continuous Web Threat Platform
Continuously detect, prioritize, and validate web threats to quickly mitigate security, privacy, and compliance risks.

Reflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.

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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: 2026-01-22
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