Yes. We use it for our own. We started however with a concept of AppBook[0] for the very "academic type" who couldn't even write a Streamlit app. We'd automatically take a notebook and parametrize it (no metadata or the user tagging cells), then present a form with the parameters. We'd then run it and track the experiment, and log the model.
Now, however, as some of our internal users are comfortable with writing Streamlit, we're directly deploying apps from the notebook. It's useful to show results to clients without the user having to set up a VM, upload stuff, Docker, authentication, resources, etc.
It's not really the 15 minutes it takes one individual to learn. It's the SSH into something, send a link, shut down the VM or recycle it for next proto, remember the IP, etc...
Now, however, as some of our internal users are comfortable with writing Streamlit, we're directly deploying apps from the notebook. It's useful to show results to clients without the user having to set up a VM, upload stuff, Docker, authentication, resources, etc.
It's not really the 15 minutes it takes one individual to learn. It's the SSH into something, send a link, shut down the VM or recycle it for next proto, remember the IP, etc...
- [0]: https://iko.ai/docs/appbook/