Model lifecycle & governance
MLflow Model Registry
Open-source component of MLflow providing a central model store with named registered models, versions, aliases, tags and lineage back to the producing run, used by ML teams as the promotion and rollback backbone. It provides mechanics for staging, not policy, risk assessment or regulatory mapping.
open_source · generally available · Research snapshot 2026-09-06
Visit the official product source ↗Where it fits
Model lifecycle & governance · Observability & traceability
Useful conversation with: ML platform engineer, MLOps lead, Data science manager.
Ask for a demonstration
Demonstrate promoting a model version via alias with lineage back to its run, and show what audit information the registry retains after rollback.
Capabilities and evidence
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Documented by provider
MLflow documentation states the Model Registry is a centralized model store with APIs and UI for managing the full model lifecycle, where registered models carry versions, aliases, tags and metadata, versions are tracked automatically for comparison and rollback, and lineage links each version to the run, logged model or notebook that produced it.
Limit: Documentation covers registry mechanics; there is no governance policy engine, risk assessment or framework mapping, and Unity Catalog features described require Databricks.
Source s1
Documented by provider
The MLflow GitHub repository presents MLflow as an open-source AI engineering platform whose components include experiment tracking, model evaluation, a model registry supporting collaborative lifecycle management, and deployment for batch and real-time scoring.
Limit: Repository page confirms the project and component list; it does not name a vendor, and the licence text was not read on the page fetched.
Source s2
Limitations to discuss
- Licence (Apache-2.0) was not confirmed on the pages fetched this session.
- Governance features such as approvals, controls and evidence packs are outside the registry's documented scope.
Sources
- ML Model Registry | MLflow · MLflow · official docs
Access date reported by researcher: 2026-09-06 - mlflow/mlflow — open source AI engineering platform · GitHub / MLflow project · official repository
Access date reported by researcher: 2026-09-06
Listing does not imply partnership, supplier status, a working DutyGraph integration, or a compliance certification.
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