deeplog

log anomaly detection toolkit including DeepLog

日志异常检测，Used for log anomaly detection, including log processing, training, prediction, and output results.

DeepLog is a deep neural network model built using LSTM (Long Short-Term Memory) that processes system logs as natural language sequences. It's designed to automatically learn normal operational patterns and detect anomalies when new log entries deviate from these established patterns.

Orchestration-driven research framework for reproducible log anomaly detection pipelines

The system includes django container and integrates it with an open-source logging solution, including Fluentbit, Deeplog, and PostgreSQL.

> 🛡️ Lightweight LSTM-based system log anomaly detection using sequential event modeling, with an interactive Streamlit dashboard for real-time analysis and visualization.