[kimukasetsu]

RMarkdown has neither of these issues, and it supports Python. It is baffling to me that most data scientists use Jupyter, since its diffs are meaningless. Its export options are very underwhelming compared to Rmd as well. Notebooks [1] are simply a special case of R Markdown formats. Besides, Rmd are literally text files that work with any text editor, including vim.

[1] https://bookdown.org/yihui/rmarkdown/notebook.html

[contravariant]

You can use Jupytext and basically get the best of both worlds (it hooks into jupyterlab to save/restore a markdown version of the notebook). A possible downside is that it doesn't store the outputs of the cells, though that is intended as a feature.

And since rMarkdown just uses pandoc under the hood, it's a bit unfair to say it has better export options than ipynb which is also supported by pandoc.

[ivansavz]

The closest thing to RMarkdown is MyST — the native .md format for the jupyterbook project: https://jupyterbook.org/content/myst.html

I've switched to that instead of notebooks, and loving the text-based life... gittable, diffable, peer-reviewable code, etc.