The Wayback Machine - https://web.archive.org/web/20220107080311/https://mlflow.org/
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