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MLflow Logo

An open source platform for the machine learning lifecycle

Latest Blog Posts

MLflow Docs Overhaul

The MLflow Documentation is getting an upgrade.

  • ai icon

    Simplifying the LLM journey: From crafting and evaluation to deployment

  • code library icon

    Works with any ML library, language & existing code

  • cloud icon

    Runs the same way in any cloud

  • groups icon

    Designed to scale from 1 user to large orgs

  • Apache Spark icon

    Scales to big data with Apache Spark™

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers several key components:

  • MLflow AI Gateway

    Interface with cutting-edge LLMs via safe, simple APIs

    Read more

  • MLflow LLM Evaluate

    Simplify evaluating LLMs and prompts

    Read more

  • MLflow Tracking

    Record and query experiments: code, data, config, and results

    Read more

  • MLflow Projects

    Package data science code in a format to reproduce runs on any platform

    Read more

  • MLflow Models

    Deploy machine learning models in diverse serving environments

    Read more

  • Model Registry

    Store, annotate, discover, and manage models in a central repository

    Read more

Integrations with:

Organizations using and contributing to MLflow:

To add your organization here, email our user list at

Join the MLflow Community

MLflow is an open source project. To discuss or get help, please join our mailing list, or tag your question with #mlflow on Stack Overflow.

We also run a public Slack server for real-time chat.