IRkernel <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
What is IRkernel <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">?
IRkernel is a native R kernel for Jupyter notebooks that enables running R code interactively within the Jupyter ecosystem. It solves the problem of integrating R, a popular language for statistical computing and data analysis, into Jupyter's notebook-based workflow, allowing users to combine code, visualizations, and narrative text in a single document.
Data scientists, statisticians, researchers, and analysts who use R for data analysis and want to leverage Jupyter notebooks for interactive, reproducible workflows.
Developers choose IRkernel because it provides a seamless, dependency-free integration of R into Jupyter, supports multiple R versions, and works across all Jupyter interfaces without requiring Python dependencies.
Overview
R kernel for Jupyter
Use Cases
Best For
- Running R code interactively in Jupyter notebooks for data analysis
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