The Jupyter Notebook is an open-source server-client web application that allows you to create and share documents containing live code, equations, visualizations and explanatory text.
Jupyter notebooks are a series of “cells” containing executable code, or markdown, the popular HTML markup language for prose descriptions. They have LaTeX support for mathematical equations with MathJax.
The notebook’s two main components are its kernels and a dashboard. A kernel runs and introspects the user’s code. The Jupyter Notebook App has a kernel for Python code, but there are also kernels available for many other programming languages.
Jupyter Notebook installs the IPython kernel. This allows working on notebooks using the Python programming language.
Uses include data cleaning and transformation, numerical simulation, statistical modeling, machine learning and a lot more.
Key Features
- Highly customizable.
- Support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia, and Scala.
- In-browser editing for code, using the Markdown markup language, with automatic syntax highlighting, indentation, and tab completion/introspection.
- Execute code from the browser, with the results of computations attached to the code which generated them.
- Display the result of computation using rich media representations, such as HTML, LaTeX, PNG, SVG, etc. For example, render publication-quality figures inline with the matplotlib library.
- Author narrative text using the Markdown markup language.
- The ability to easily include mathematical notation within markdown cells using LaTeX, and rendered natively by MathJax.
- Notebooks can be committed to version control repositories such as git and the code sharing site GitHub.
- Export notebooks to HTML, reStructuredText, LaTeX, PDF, and slide shows.
Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7). Installing Acaconda is the recommended installation method.
Website: jupyter.org
Support: Documentation, Blog
Developer: Many
License: Modified BSD license

Related Software
| Notebook software | |
|---|---|
| JupyterLab | The next generation user interface for Project Jupyter |
| RStudio | Integrated development environment (IDE) for R |
| Jupyter Notebook | Web-based notebook environment for interactive computing |
| Positron | Next-generation data science IDE |
| marimo | Reactive Python notebook |
| Apache Zeppelin | Multi-purpose notebook |
| IPython | Rich architecture for interactive computing |
| Polynote | Experimental polyglot notebook environment |
| nteract | Notebooks on your Desktop |
| Pluto | Simple reactive notebooks for Juli |
| Pretzel | Billed as a modern replacement for Jupyter Notebooks |
| Spark Notebook | Interactive and reactive data science using Scala and Spark |
| BeakerX | Kernels and extensions to the Jupyter interactive computing environment |
Read our verdict in the software roundup.
Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk. You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more. Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form. |

