MLflow
by Databricks · open-source · Last verified 2026-03-17
Open-source platform for managing the end-to-end machine learning lifecycle. Provides experiment tracking, model registry, model deployment, and project packaging with support for any ML library.
https://mlflow.org ↗B+
B+—Good
Adoption: AQuality: AFreshness: ACitations: AEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- experiment-tracking, model-registry, model-serving, project-packaging, artifact-management
- Integrations
- hugging-face, langchain
- Use Cases
- experiment-management, model-versioning, ml-lifecycle, production-deployment
- API Available
- Yes
- SDK Languages
- python, java, r
- Deployment
- self-hosted, databricks-managed, docker
- Rate Limits
- N/A (self-hosted); Databricks managed plans vary
- Data Privacy
- Self-hosted by default; Databricks SOC 2 Type II compliant
- Tags
- mlops, experiment-tracking, model-registry, open-source
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
71.7Adoption
85
Quality
86
Freshness
82
Citations
82
Engagement
0