There are 3 repositories under log-parsing topic.
Web app for Scrapyd cluster management, Scrapy log analysis & visualization, Auto packaging, Timer tasks, Monitor & Alert, and Mobile UI. Docs 文档 :point_right:
Enterprise-ready SIEM, SOAR and Compliance powered by real-time correlation and threat intelligence.
Squad Server Script Framework
Convert a variety of log formats to CSV while enriching detected IPs with Geolocation, ASN, DNS, WhoIs, Shodan InternetDB and Threat Indicator matches.
A tool for parsing Scrapy log files periodically and incrementally, extending the HTTP JSON API of Scrapyd.
Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)
Speedily search and merge log messages by datetime
Decode Zero log files from the mobile application into text files
Scans Burst mining logs and reports corrupted plot files.
Multi-classification of logs as well as anomaly detection
Literature survey on log parsing. Code for accuracy and scalability experiments, and also details on methodology.
Parse Apache-style access logs into Logstash JSON
Squad server script framework. Automatize moderation and administrative tasks
A framework for reading and handling log data from Unreal Tournament 2004
Turn decoded (text) Zero log file contents into various usable data formats
Command-line program to manage Pokémon Showdown battle logs.
Comprehensive repository designed to help individuals prepare for technical interviews.
NGiNX access logs parser, portable pure golang
Python, Javascript interview practise.
Project-SABER: A repository of KQL queries and parsers for threat hunting, threat detection, and log parsing in Microsoft Sentinel & Microsoft XDR (formerly Microsoft 365 Defender)
Web based data tools for Zero Motorcycles
Automatic structuring of textual computer system logs using document retrieval.
Logs Extraction Tools using OpenArgus and Zeek
SentinelGuard is a robust Log Analysis Tool.
The Log Analyzer Tool analyzes server logs to detect suspicious activities and generates reports and visualizations.
🚀 An intelligent, LLM-enhanced log parser pipeline that converts multi-format raw logs into structured JSON, learns from missed patterns, and evolves using Drain3 & open-source LLMs.
A python script that takes a list of words as input and automatically parses through all the log files in a given folder to find the lines containing those words.
A PowerShell script designed to parse and convert unstructured log files into structured CSV format, facilitating easier analysis and processing.