Model lifecycle & governance
ClearML Model Registry
Model registry inside the open-source ClearML MLOps toolchain: models are logged automatically or manually from training tasks, catalogued per project with metadata and metrics columns, queryable by name, tag or metadata, with lineage and CI/CD triggers on registry events such as tagging or publishing.
hybrid · 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 an automatic model registration from a training task, then trigger a CI/CD pipeline when that model is tagged for production.
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
ClearML documentation states the model registry catalogs and shares models with traceability and provenance, tracks and documents model changes, shows model lineage, lists project models in a customizable Model Table with metadata and metric columns, supports querying by name, project, tag and metadata, supports automatic and manual registration, and can trigger CI/CD pipelines on catalog changes such as registering, tagging or publishing models.
Limit: Docs cover registry mechanics; approval workflows, risk assessment and regulatory mapping are not documented. Some launcher apps require the Enterprise plan.
Source s1
Documented by provider
The ClearML GitHub repository describes an open-source MLOps/LLMOps solution covering experiment management, data management, pipelines, orchestration, scheduling and serving, with optional automatic upload of model snapshots to shared folders, S3, GS, Azure or HTTP storage, model provenance tracking and out-of-the-box model monitoring via ClearML Serving.
Limit: Repository page confirms scope and storage targets; the licence text was not read, and enterprise-only features are not delineated there.
Source s2
Limitations to discuss
- Licence identifier not confirmed from the pages fetched this session.
- Split between open-source and Enterprise features is only partially documented on the pages read.
Sources
- Model Registry — ClearML · ClearML · official docs
Access date reported by researcher: 2026-09-06 - clearml/clearml — MLOps/LLMOps solution · GitHub / ClearML · 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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