Change management strategies and policies
I think at the moment we have lack of cahnge mangement. These are some conducting strategies that comes to my mind for user onboarding
- Warning when using deprecated features in a not published upload (If it is publishe we can show the feature without any warning)
- Warning or even preventing publishing of outdated features
- Warnings or even preventing publishing of Beta version features
We had the same problem about tabular parser that changed a lot before approaching this version and hopefully we did not have any published schema.
In the case of plot functuionality I would say
- plotly_graph_object annotation [official feature]
- python PlotSection [official feature]
- plotly_express annotation [beta feature]
- plotly_subplot annotation [beta feature]
- plot annotation [deprecated feature]