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

    // ACCESS METHODS

    Web AppAPICLI

    // COMPLIANCE

    SOC2ISO27001GDPRHIPAA

    ● certified · ○ not verified

    // DATA STORAGE

    Region

    Trains on Data

    Self-hostable

    Yes

    // PRICING DETAIL

    Free Tier

    Free and open source

    Paid Plans

    Managed via Databricks

    API Cost

    Not available yet
    >> OPEN TOOL

    // MORE IN API DEVELOPMENT

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    // USE CASES

    Tracking machine learning experimentsModel packaging and versioningDeploying ML models to productionComparing model performance across runsManaging the full ML lifecycle