Another parser for server logs to find potential vulnerabilities

A powerful, web-based log analysis application designed for ISP and office environments. Built with modern web technologies to provide comprehensive log parsing, analysis, and visualization capabilities for Apache, Nginx, Syslog, and network device logs.

IntelliJ IDEA plugin for analyzing Apache/Nginx log files with traffic patterns, security analysis, and performance metrics

this project offers a simple dashboard to analyze server logs, identify top IP contributors, and detect peak traffic hours. It helps businesses monitor server health, detect anomalies, and optimize resource planning through quick, data-driven insights.

Nodejs Apache Log Parser

A python tool to analize Apache Logs, inspired by goaccess and google skalp

A lightweight, cross-platform Python-based agent for collecting, parsing, and forwarding Apache web server logs via an API endpoint to security analytics platforms.

Automated log analysis pipeline using PySpark to simulate Azure Databricks workflows. This project parses raw Apache logs, identifies operational patterns and anomalies using SQL queries, and exports results for visualization in Tableau — reducing manual review time in log analysis.

Fast, friendly CLI log analyzer built with Bun - Think jq for logs

Self-contained Apache access log analyzer for Windows that uses PowerShell and Geoapify IP Geolocation API to generate Markdown reports with geo (country/city) and page-view analytics.

This project demonstrates the creation of an interactive Splunk dashboard to analyze Apache Web Traffic Logs in JSON format. The dashboard provides real-time insights into web activity, error trends, top resources, user IPs, and geographic traffic distribution.

Web server logs analyzer

Apache Log Reader

A PHP script that filters known IP addresses from an Apache HTTP log file

Splunk project analyzing simulated Apache web logs to detect failing endpoints, access trends, slow APIs, suspicious patterns, and usage by device/browser. Includes complex SPL queries and visual storytelling.

Built a Go-based platform for real-time log processing, SQL data storage, and automated HTML/CSV reporting with concurrency, scheduling, and alerting capabilities.

Repository created to generate awareness of http-logs-to-mysql & mysql-to-apache-echarts in Search Engines

Web server log file parser and analysis tool

Web Interface with Drill Down Capability and Log Visualization integration. Built with Express.js & Apache ECharts frameworks for HTTP log files MySQL or MariaDB database.