First, thank you for creating and maintaining this excellent editor. Athas already feels like a thoughtful and promising tool, and I appreciate the work that has gone into it.
I would like to request syntax and language support for R, R Markdown, and Python Jupyter notebooks / notebook-style workflows in Athas.
These formats are especially important for researchers and analysts who use statistical programming in their daily work. In many academic and applied research settings, R and Python are not just general-purpose programming languages; they are core tools for data cleaning, statistical modeling, visualization, reproducible analysis, and manuscript preparation.
Specifically, support for the following would be very helpful:
- R syntax highlighting and editing support
- .R files
- Common R syntax, including pipes, formulas, function calls, and tidyverse-style code
- R Markdown support
- .Rmd files
- Markdown text mixed with executable R code chunks
- Proper highlighting for YAML front matter, Markdown prose, and fenced R code blocks
- Python Jupyter / notebook-style support
- Better support for Python workflows commonly used in Jupyter
- Ideally, support for .ipynb files or at least improved handling of notebook-like Python analysis scripts
For statistical researchers, these features would make Athas much more useful as a research-oriented editor. Many researchers work across prose, code, statistical output, and reproducible documents, so support for R Markdown and Jupyter-style Python would significantly improve the editing experience.
Thank you for considering this feature request.
First, thank you for creating and maintaining this excellent editor. Athas already feels like a thoughtful and promising tool, and I appreciate the work that has gone into it.
I would like to request syntax and language support for R, R Markdown, and Python Jupyter notebooks / notebook-style workflows in Athas.
These formats are especially important for researchers and analysts who use statistical programming in their daily work. In many academic and applied research settings, R and Python are not just general-purpose programming languages; they are core tools for data cleaning, statistical modeling, visualization, reproducible analysis, and manuscript preparation.
Specifically, support for the following would be very helpful:
For statistical researchers, these features would make Athas much more useful as a research-oriented editor. Many researchers work across prose, code, statistical output, and reproducible documents, so support for R Markdown and Jupyter-style Python would significantly improve the editing experience.
Thank you for considering this feature request.