We actually created Taipy after having bad experiences with Streamlit during consulting work. Anything with a considerable backend that required multi-page or multi-user was horrible to dev and to use in Streamlit. The goal of Taipy is to keep the ease of use that Streamlit has when it comes to creating front-end in Python while focusing on production applications

Yeah kind of. We had issues with Streamlit when working on production projects. Anything with big data or models, multi-page, multi-user apps was freezing and unusable with Streamlit. So we created Taipy to have a compromise between having a library to easily code front-end in Python while still being able to create production applications

This is actually already available. It is a VSCode extension called Taipy Studio that allows you to create and edit data pipelines in a graph-based editor