Works with any ML library, language & existing code
Runs the same way in any cloud
Designed to scale from 1 user to large orgs
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 four components:
Record and query experiments: code, data, config, and results
Package data science code in a format to reproduce runs on any platform
Deploy machine learning models in diverse serving environments
Store, annotate, discover, and manage models in a central repository
Organizations using and contributing to MLflow:
To add your organization here, email our user list at firstname.lastname@example.org.
Join the MLflow Community
MLflow is an open source project. To discuss or get help, please join our mailing list email@example.com, or tag your question with #mlflow on Stack Overflow.
We also run a public Slack server for real-time chat.