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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 mlflow-users@googlegroups.com.

Join the MLflow Community

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

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