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
Local-first MCP server for server operations: HTTP health checks, Apache/Nginx log analysis, dry-run deploy manifests and mail diagnostics
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.
parse nginx/apache/syslog into structured records. pipe-friendly.
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.
A PHP script that filters known IP addresses from an Apache HTTP log file
Provides information about files-to-mysql & growing database schemas designed for files-to-mysql. files-to-mysql is a Python ETL-frameworks for file data ingestion into MySQL or MariaDB.
Convert legacy log/data formats (Apache CLF, CSV, NDJSON) to PFC cold storage format
Web security monitoring lab using Apache logs, Filebeat, Elasticsearch, Kibana, and KQL detections.
Web Interface with Drill Down Capability and Log Visualization integration. Built with Express.js & Apache ECharts frameworks for MySQL or MariaDB schema repositories
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.
Fast, friendly CLI log analyzer built with Bun - Think jq for logs
Web server logs analyzer
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.
Add a description, image, and links to the apache-logs topic page so that developers can more easily learn about it.
To associate your repository with the apache-logs topic, visit your repo's landing page and select "manage topics."