BentoML is a python-first framework for serving machine-learning models in production at scale. The models it provides are agnostic of their environment; all model artifacts, source code and dependencies are encapsulated in a self-contained format called Bento. It's like having your model "as a service." Think of BentoML as the Docker for ML models: It generates VM images with pre-programmed APIs ready for deployment and includes features that make it easy to test these images. BentoML can help speed up the initial development effort by easing the start of projects which is why we included it in Assess.