I don't think this is the best comparison. People use notebooks in Python to work with data and code, not for lack of a popular IDE.

Comparing R and Python also could be done better. Python is a general purpose language. R is for statistics and science. Even then, Python is extremely popular for these very domains with Jupyter notebooks.

This is why I shrug looking at "Jupyter killer" notebook alternatives tackling machine learning: in my experience delivering machine learning products to large, paying, clients, the bottleneck never was slicker stylesheets or cool animations. It was the nuts and bolts of things.