MLflow
Featured Open SourceOpen-source MLOps platform for the full ML lifecycle
MLflow is an open-source platform for managing the complete machine learning lifecycle including experiment tracking, model packaging, model registry, and deployment. Widely adopted across data science and ML engineering teams.
Product Overview
Use Cases
- Experiment Tracking
- Model Registry
- Model Deployment
- LLM Evaluation
Ideal For
Data ScientistsML EngineersAI Platform Teams
Architecture Fit
Enterprise ReadySelf HostedCloud NativeAPI FirstMulti-Agent CompatibleKubernetes SupportOpen Source
Technical Details
- Deployment Model
- self-hosted
Screenshots
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