Experiment Tracking Using Streamlit and MLflow

Hi everybody,

I have built a simple demonstration of how you could use streamlit and MLflow for model prototyping. I think streamlit is great for interactively working on your models, but I also needed something to keep track of promising model settings. Therefore, I have come up with the idea to link my streamlit app with the MLflow tracking API:


What do you think? Is this something that could be useful for you, too?

Best wishes,


Welcome to the community @mwinterde !

This looks great :slight_smile: it’s in my “to try” list now! Thanks for sharing