A robust streaming log template miner based on the Drain algorithm
This a pet project to explore log pattern extraction using DRAIN
A command-line tool that detects, extracts log templates, and structuring logs to in-process database, leveraging template patterns generated by GPT-4.
A powerful streaming log template miner based on the Drain algorithm in golang
A robust streaming log template miner based on the Drain algorithm - Forked from Logpai implementation
Deterministic log template miner with a per-decision audit trail. Deterministic baseline uses no language model. Scored with GA/PA/FGA/FTA on a 60-line sample and SecOps-2k; Drain remains the baseline to beat.
Time-windowed log template mining with drift and spike detection. Developed under Samsung PRISM industry research initiative (privacy-compliant public demo).
A production-ready TypeScript/Node.js streaming log template miner — 1:1 port of the official Python Drain3 algorithm. Extracts structured templates from unstructured logs in real time using fixed-depth prefix tree clustering with zero runtime dependencies.
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