Essence - free native log viewer for Mac

A flexible & privacy-focused analytics solution for NGINX.

Server-side Query Fan-Out Session monitoring & reporting for LLM user-bot traffic

A visualization tool that can extract information from any server log (i.e. HTTP server/Django/Auth/etc), reverse-search the data, and visualize the origination of the authentication attempts.

Another parser for server logs to find potential vulnerabilities

Self-hosted server log analytics for AI bot detection, AI agent monitoring, and AI visibility. Classifies GPTBot, ClaudeBot, ChatGPT-User, Perplexity & more from edge JSONL — no JS tag, no SaaS. Open-source alternative to Cloudflare AI Crawl Control.

Sample CLI tool for parsing logs.

Introduction to server logging for web apps

Turn raw server/CDN access logs into verified-crawler analytics: parse many log formats, verify Googlebot/Bingbot by IP (not user-agent), enrich with DuckDB, and analyze crawl budget, crawl waste, and crawl traps with SQL.

error log analyzer and alert tool

Local-first AWK-powered log parser for Apache and Nginx logs.

A full-stack logging dashboard that captures both client-side and server-side logs with visual analytics, filtering, and CSV export - built using Next.js and Material UI.

Sieh lokal aus deinen Server-Logs, welche Seiten wirklich wie oft aufgerufen wurden — und wo Google Analytics weniger zählt. Ohne Cookies, ohne Tracking, ohne Upload.

This project demonstrates my ability to clearly, concisely, and easily document a security event/incident. This journal allows me to visualize my cybersecurity journey and improve my overall skills.

A python based log file analyzer built for SEO analysis of server access logs with a clean streamlit UI. Check and compare bot hits(including AI crawlers) by URL - all in the same view.

Sparkling Water is a scalable system for detecting, merging, and clustering similar server processes based on interaction logs. Using Apache Spark, MinHash, LSH, and time-series hashing (SSH, BSeSH), it efficiently identifies behavior patterns in large server infrastructures for performance optimization, anomaly detection, and system analysis.