• •Developer launched Xenoeye, a monitoring solution utilizing netflow protocols, PostgreSQL/ClickHouse, and Grafana.
• •The software explicitly avoids AI integration, focusing on deterministic script-based analysis of network traffic.
• •The project currently lacks detailed documentation for enterprise-scale deployments or specific performance benchmarks compared to industry-standard tools.

The developer behind Xenoeye has released an open-source network monitoring tool that eschews AI in favor of traditional netflow data processing. Unlike modern network observability platforms that rely on machine learning for anomaly detection, this project utilizes standard databases like PostgreSQL or ClickHouse alongside Grafana for visualization. While the "AI-free" branding stands in contrast to the current software industry trend, the tool remains in its early stages without verified performance metrics. Whether this manual approach offers enough utility for professional network administrators will depend on the maturity of its underlying script-based analysis.