Open Source Python Log Parsers

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.

A log parser for Haproxy that provide connection time statistics. Haproxy log parser Embeded email reporting

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

Parser Chitai-Gorod is a Python data-collection tool for extracting structured book information from the Chitai-Gorod online catalog. Its workflow first discovers individual book pages across catalog sections and pagination. A second stage processes those pages and extracts fields such as title, author, ISBN, price, binding, description, page count, publication year, and image URL. Processing can use multiple threads to improve throughput across larger catalogs. Completed URLs are tracked so interrupted jobs can resume without unnecessarily processing the same books again. Results are exported to Excel workbooks, with separate sheets organized by book genre for easier analysis.

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.

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!