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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

JavaScript data notebooks and the open-source Observable Framework static-site generator for data apps, from the maintainers of D3 and Plot

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

Posit's multi-language data-science IDE built on Code OSS, with first-class R and Python consoles, variables and plots panes, under the Elastic License 2.0

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

Open-source scientific publishing system from Posit that renders Markdown with executable Python, R, Julia or Observable code to HTML, PDF, Word, slides, websites and books via Pandoc

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

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

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

Wolfram Research's proprietary technical computing system built on the Wolfram Language, with notebooks, symbolic and numeric computation, visualization, machine learning and curated data