[ellisv]

My first reaction was: sigh _another_ tool to help ML/DS folk not write a Dockerfile? Aren't there enough already?

But at closer glance cog seems to have an edge on some of the competitors like Seldon or Bento - namely using modern Python libraries (like Pedantic and FastAPI), CUDA/cuDNN/PyTorch/Tensorflow/Python compatibility, and (probably most important to me) automatic queue workers.

It generated a 1GB image with nothing but Python 3.8 in the config, so folks who really care about deployment size would want to continue writing their own container files.