It's been great seeing this space fill out with solutions in the last year. MLFlow[1] is another open source solution I have my eyes on.

BentoML looks more cohesive than our homegrown solution because it targets a more general case. One of the things I would miss switching to BentoML would be automatic requirements generation. We use pipreqs[2] to generate a requirements.txt given a model instance. Any thoughts on the difficulty as a user in extending BentoML as to integrate pipreqs?

Again another difficulty question: we have a few statsmodels[3] predictors and it isn't clear how much work would be involved extending BentoML to accept those too.

Thanks for pointing out BentoML. I'll keep an eye on it as a migration target as this space develops.

[1] https://mlflow.org/docs/latest/index.html

[2] https://github.com/bndr/pipreqs

[3] https://www.statsmodels.org/stable/index.html