MLflow is an open-source ML lifecycle management platform that tracks experiments, packages models, and manages deployments, originally developed by Databricks and widely adopted in enterprise ML teams.
Category
Coding
Subcategory
API Development
Free Tier
Free and open source
Paid Plans
Managed via Databricks
API Cost
Not available yet
Web AppAPICLI
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Self-hostable
Yes
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Tracking machine learning experimentsModel packaging and versioningDeploying ML models to productionComparing model performance across runsManaging the full ML lifecycle
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