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

The foundational Python plotting library for static, publication-quality figures with full control over every element, exported to PDF, SVG, PNG and PGF

MIT-licensed interactive charting libraries for Python (plotly.py), JavaScript (plotly.js) and R, plus the Dash framework for analytical web apps

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

R package that turns Markdown documents with embedded R (and Python or SQL) chunks into HTML, PDF, Word, slides, books and dashboards through knitr and Pandoc

Declarative Python visualization library that compiles concise chart specifications to Vega-Lite JSON for interactive, grammar-of-graphics plots