However how does it differ from all the other offerings in this space that it is increasingly difficult to keep up with?
I'm thinking of: - Dash - Streamlit - Gradio - Pynecone - Shiny Python - Voila - Holoviews - Voila - ...
Most frameworks in the space are great for building small apps and demos, but struggle to progress beyond an MVP, and for any moderately complex case quickly get messy. Datapane is for people who are building data products vs. small demos, which often include static sites/reports, externally triggered updates, background processing, or integration with other frameworks (like running inside of Flask). As an example, one of our users is a large gaming company who pre-render Datapane dashboards from inside of Spark pipelines in order to build internal apps for a/b testing.
That said, we also wanted to create a model which is dead simple to use and doesn't fall into callback hell or require the user to write HTML or CSS. I would love any feedback on this!