A fast and powerful log viewer and processor that converts JSON logs or logfmt logs into a clear human-readable format.
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Updated
Mar 23, 2026 - Rust
A fast and powerful log viewer and processor that converts JSON logs or logfmt logs into a clear human-readable format.
Interactive viewer for JSON logs.
MITM HTTP debugging proxy: HTTPS, MongoDB, Redis, MySQL and gRPC. Also makes JSON logs human readable.
JSON Log Viewer is a development tool for working with structured JSON logging.
Access Panel (public repo)
Transform your json logs into GELF format on the fly.
🪵 A fast, multi-source structured log viewer for the terminal — stream, search, and correlate JSON, logfmt, and plain text logs with color-coded output. Built with Go and Bubble Tea.
This project demonstrates SSH authentication log analysis using Splunk SIEM to detect malicious activity such as brute-force attacks, unauthorized access attempts, and suspicious SSH behavior. It simulates real-world SOC analyst workflows, including log ingestion, SPL queries, dashboards, and alerting.
A production-quality real-time structured log viewer for developers. Stream local log files to a browser UI with zero heavy frameworks—just Node.js, Express, WebSocket, and vanilla JavaScript.
🚀 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.
Structured logs
(( Use it on Google Colab: click the link below )) Python script that takes a JSON with a list and a JSON with the last result; by default it will choose an item from the list, avoiding the last result, but it can also select each item of the list once and generate a log file.
The objective of this project is to design and implement a Splunk dashboard for monitoring SSH authentication activity on Linux servers.
Live system cognition engine. Reimagines tail from "show me lines" to "what's happening, what matters, and why?" Auto-detects log formats, groups patterns, detects anomalies, reconstructs traces, outputs structured JSON for AI agents. 144 KB. Zero config. 69K events/sec.
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.
Fast, friendly CLI log analyzer built with Bun - Think jq for logs
🔍 Monitor SSH logs in real-time, detect brute-force attacks, and visualize geo-attacks with this Splunk dashboard for enhanced security insights.
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