DagsHub provides a unified MLOps platform built around data versioning, multimodal annotation, MLflow-compatible experiment tracking, and model registry capabilities. It integrates with popular ML frameworks and open-source formats, supports connecting to external cloud storage, and offers Label Studio-compatible annotation workflows. The platform supports full data and model lineage, CI/CD/CT pipelines, notebook versioning and diffing, and can be deployed on-premise, in a VPC, or air-gapped for enterprise security requirements.