Essence - free native log viewer for Mac
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Updated
Apr 16, 2026
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.
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.
Introduction to server logging for web apps
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.
error log analyzer and alert tool
Ruby CLI for analyzing common and JSON server logs with batch input, filters, trend summaries, config, and export support.
Analyze server access logs locally in your browser: real page views, visits, purchases, and the gap to Google Analytics. No 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.
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