Web app for Scrapyd cluster management, Scrapy log analysis & visualization, Auto packaging, Timer tasks, Monitor & Alert, and Mobile UI. DEMO 👉

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

advertools - online marketing productivity and analysis tools

LogAI - An open-source library for log analytics and intelligence

Wazuh - Ruleset

log anomaly detection toolkit including DeepLog

Open Source SIEM (Security Information and Event Management system).

Log-based impactful problem identification using machine learning [FSE'18]

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

IWQoS 2017: A toolkit for log template extraction

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

CLI utility and Python module for analyzing log files and other data.

ThreatSeeker: Threat Hunting via Windows Event Logs

Build your own log analytics platform on OpenSearch in 20 minutes

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.

Accurately forecast log costs pre-production with Cortisol for Datadog, New Relic, Grafana and GCP Cloud Logging 💰📉

Very basic CLI SIEM (Security Information and Event Management system).

Machine learning algorithms to detect anomalies in unstructured logs

BeatLog parses NGINX reverse proxy and fail2ban logs into readable tables and reports. Use BeatLog to assess server traffic and tailor fail2ban filters.

A Real-time Apache log monitor using Kafka & Spark Streaming, with fake log generator.