Open Source Mac Log Parsers

A simple grid control to mock up tables in clinical trials. Also includes 'checklog', a visual log-parser for checking SAS log files, 'sasmake', a makefiles generator, and 'graphpirate', a tool for reverse-engineering graphs.

Visual aid while playing Age of Conan. Display helpful information derived from combat logs, mostly related to raids.

This is a ban log parser for BlackBagOps's Battlefield Remote Server Manager. It will take a adminlog.csv file from your server manager and create useful statistical information from it.

A Perl program that trims the statistics.csv file (generated by Battlefield Server Manager, http://blackbagops.com/bf1942/index.shtml) to exclude log entries older than x days, for use by Venkman's BFStats log parser, http://www.mkoehler.de/bfstats

Chrono-Stats is a Half-Life:Counter-Strike log parser. What makes it unique from any other, is the built in web panel. It lets you update stats, configurations, and the look of your stats, all through a web based admin panel.

This is a kicks and bans search engine that works with the Battlefield Server Manager from BBO. It is written in PHP/MySQL and has been tested in both Linux and Windows environments. It parses the adminlog.csv file locally or remotely via FTP.

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.

Real time EverQuest log parser.

Tools for the Budget SysAdmin<> Pix Log Parser: It parses pix logs for information and creates reports from it <> SGZLogs. Searches gzipped logs for multiple terms and saves reports.<>

Backup application for general files and folders in java.

This is a Real-Time Stats signature for use with the selectBF log parser. It's written in PHP/MySQL and tested in both Linux and Windows environments. The script pulls data from selectBF and using the GD Library,dynamically outputs the stats to images.

LogAnal is a quick hack to parse Apache Log Files and produce graphical and textual web server statistics. Works in incremental mode only. Supports Templates for the output HTML, as well as localization (defaults to English).

Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis.

NAMD Log Parser sorts through the log file generated by NAMD and extracts energy information to export to a graphing program or used in the basic graph provided.

Log parser and event generator

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

Pasi's Shannox Log Analyzer - A simple log parser to analyze Rageface's 'Face Rage' spell: uptime of the buff, targets and who has removed it - suitable for recognizing problems with tactics' execution.

A complex log parser that allows for the scripting of actions, updating databases, on-the-fly configuration and much more. Aggregate logs from disparate systems (i.e. Apache, IPS/IDS and various sensors) and take action on events through external scripts

Code engine for parsing Quake 3 Arena console log files to produce player statistics. Engine designed to be extensible for use with ANY quake 3 mod. Example of a mod implemented (Urban Terror).

SydeKIQ (pronounced sidekick) is a Sybase IQ Log Parser that parses the iqmsg and sql log files to aid Sybase IQ Database Administrators in determining which queries are the most time consuming and which users are running these queries.

Wow Log Parser is a combat log parser for the game World of Warcraft. The purpose of the program is to parse the files generated with the /combatlog command. The source code can be found on: http://www.gurre.eu/wowlogparser/forum

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!

csv-parser is a streaming CSV parsing library for Node.js designed for efficiency and correctness. It implements the stream API native to Node, allowing you to pipe a file or readable stream into the parser and process each row (as a JavaScript object or array) as soon as it's parsed — which is crucial for handling large CSV files without loading them entirely into memory. The parser handles standard CSV semantics including quoted fields, variable delimiters, escape sequences, and optional headers; this makes it robust for a variety of CSV dialects you might encounter. Because it works incrementally (row by row), it is well suited for ETL pipelines, data ingestion workflows, CSV-to-database imports, or any context where you need to process or transform large tabular data in Node.js efficiently. Using the .on('data') / .on('end') (or equivalent async patterns), you can accumulate, filter, transform, or stream data further downstream without waiting for the whole file.

devialog is a behavior/anomaly-based syslog intrusion detection system which detects unknown attacks via anomalies in syslog. It can generate signatures for ease of management, act upon anomalies in a predefined fashion or perform as a standard log parser

jQuery- is a collection of experimental frontend techniques and creative demonstrations centered around JavaScript, CSS, and browser behavior, created by the same author behind iCSS. The project focuses on showcasing clever implementations, visual tricks, and unconventional solutions that expand how developers think about classic web technologies. It serves primarily as an educational playground where developers can study practical code examples and learn nuanced behaviors of the DOM, animations, and browser rendering. The repository complements the author’s broader ecosystem of frontend explorations by emphasizing hands-on experimentation and reproducible demos. Its materials are particularly useful for developers interested in performance tricks, visual polish, and edge-case browser behavior. Overall, jQuery- functions as a technical inspiration lab for frontend developers exploring advanced web interaction patterns.