Production-grade MLOps toolkit — multi-stack Docker Compose generator with ML pipeline containerization, MLflow experiment tracking, Prometheus + Grafana observability, real code linting, CVE scanning, and a one-click OPS pipeline with quality gates.
What is the HetShingala/Automatic-compose-generator GitHub project? Description: "Production-grade MLOps toolkit — multi-stack Docker Compose generator with ML pipeline containerization, MLflow experiment tracking, Prometheus + Grafana observability, real code linting, CVE scanning, and a one-click OPS pipeline with quality gates.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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