The Easiest Way to Deploy Your ML/DL Models in 2022: Streamlit + BentoML + DagsHub

It is hard to agree on the best tools to serve models in production because each problem is unique, and their solutions have different constraints. Therefore, I wanted to choose a solution or a set of tools that would benefit as many people as possible. The solution should be simple enough so that it takes only a few minutes to whip up a working prototype and serve it online and, if needed, can scale to larger-scale problems. The core component of this solution is the BentoML package. It is one of the latest promising players in the MLOps landscape and has already amassed half a million downloads on GitHub.