M
MLflow
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Open-source platform for the complete ML lifecycle
Open Sourceopen-source
About
MLflow is an open-source platform for managing the complete machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. Originally created by Databricks, it has become one of the most widely adopted MLOps tools with support for tracking experiments, packaging code into reproducible runs, and deploying models to various serving environments.
Details
| Type | ml-lifecycle-platform |
| Integrations | PyTorch, TensorFlow, scikit-learn, Spark, Hugging Face, LangChain, OpenAI, XGBoost |
| Cloud Support | AWS, GCP, Azure, Databricks, Self-hosted |
Tags
experiment-trackingmodel-registrydeploymentreproducibilityopen-sourcedatabricks
Quick Info
- Organization
- Databricks
- Pricing
- Free (open-source) / Managed on Databricks
- Free Tier
- Yes
- Popularity
- 87/100
- Stars
- 20.0K
- Updated
- Feb 19, 2026
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