Directory

Dynamically typed, JIT-compiled language for numerical and scientific computing that aims to combine high-level syntax with compiled-code speed

Reactive Python notebook stored as a plain .py file that re-runs dependent cells automatically and doubles as a script or web app

Open-source computational notebook ecosystem: the .ipynb format, kernels for Python, R and Julia, JupyterLab and Notebook interfaces and JupyterHub

General-purpose, dynamically typed programming language with a large standard library and the dominant ecosystem for data science and machine learning

Language and environment for statistical computing and graphics, with the CRAN package archive and a strong base in academic statistics and econometrics

Posit's open-source integrated development environment for R, with console, editor, plots, environment panes, Quarto/R Markdown authoring and Python via reticulate