Minimal MLOps regression skeleton (California Housing) with training pipeline, Evidently drift/performance report, FastAPI prediction service, Dockerized training/serving environments, ready for CI/CD extension
DriftSiren is a production-grade platform for real-time data drift and quality monitoring. Built with Next.js, FastAPI, and Docker, it tracks feature drift, provides live alerts, and visualizes metrics on a sleek dashboard. Includes agent, APIs, Celery workers, and Kubernetes-ready setup.
Exploring what a real-time distributed model serving and data drift monitoring solution could look like within MLOps
Fast, declarative data quality framework (Rust). Schema validation, drift detection, anomaly detection. 13x faster than pandera. Pandas/Polars/DuckDB support.
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