MLflow Skinny

MLflow Skinny is a lightweight Python package that provides core MLflow functionalities for experiment tracking and model management, omitting heavier dependencies like SQL storage, the MLflow UI, server, and extensive data science libraries. It serves as a foundation for users who need only the tracking and logging capabilities. MLflow is an open-source platform designed to streamline the entire machine learning lifecycle, supporting experiment tracking, reproducible code packaging, and model deployment. The current version is 3.10.1 and it requires Python >=3.10. The library maintains an active development status with frequent patch and minor releases, often on a monthly cadence.