Lightweight ML model drift detection — CLI, Prometheus metrics, and alerts
drift-watchdog sits in PulseGate's LLM eval & observability category. It focuses on detecting and monitoring machine learning model drift in production environments. It is built as an open-source project for mlops engineers. drift-watchdog is open source under the MIT license. The product ships for the web and the command line.
Behind drift-watchdog is NotHarshhaa, and the product first shipped in 2026. Development happens publicly on GitHub with 8 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — drift-watchdog occupies a relatively distinct niche. Key capabilities include drift detection, prometheus metrics, and alerting.
Latest indexed changes and source events
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