Overview
Research summary
MLflow supports both machine-learning experimentation and the development of LLM applications and agents. Teams can record parameters, metrics and artifacts, compare model runs and manage models through a registry. Its generative-AI features include tracing, evaluation, prompt management and a gateway for model access. Python and other integrations connect these capabilities to existing application frameworks. The project can be self-hosted and is Apache-licensed; managed services built around MLflow may apply their own operational and commercial terms.
Repository summary
- Stars
- 28,221
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for MLflow.
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
- 28,221
- Open issues
- Unavailable
- Last push
- 2026-10-02
- 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 5
- https://mlflow.org Project page
- https://github.com/mlflow/mlflow Linked repository · Research reference
- https://api.github.com/repos/mlflow/mlflow Research reference
- https://github.com/mlflow/mlflow/blob/master/README.md Research reference
- https://github.com/mlflow/mlflow/blob/master/LICENSE.txt Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/mlflow/mlflow/discussionsOfficial
Link details for GitHub Discussions
- Last checked