Observability & evaluation
ClearML SDK
Automatically records experiment context and connects it to data management and remote execution workflows.
Overview
Research summary
The ClearML Python SDK instruments machine-learning work to record experiments, outputs, execution environments and related artifacts. It connects to ClearML services for viewing results and managing datasets, and integrates with the ecosystem’s separate agents and orchestration components for remote execution and pipelines. Developers can use self-hosted infrastructure or a hosted offering. This entry’s repository and Apache license cover the SDK; separately distributed server, serving and commercial components should be evaluated under their own licensing and deployment terms.
Repository summary
- Stars
- 6,898
- Open issues
- Unavailable
- Last push
- 2026-09-28
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for ClearML SDK.
Implementation details
Python implementation with an interactive application or platform integration
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 6,898
- Open issues
- Unavailable
- Last push
- 2026-09-28
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 7
- https://clear.ml Project page
- https://github.com/clearml/clearml Linked repository · Research reference
- https://clear.ml/docs Documentation
- https://api.github.com/repos/clearml/clearml Research reference
- https://github.com/clearml/clearml/blob/master/README.md Research reference
- https://github.com/clearml/clearml/blob/master/LICENSE Research reference
- https://clear.ml/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Video
- YouTubewww.youtube.com/c/ClearMLOfficial
Link details for YouTube
- Last checked