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Jupyter Notebook — interactive computing with code, narrative, and outputs in one document

OSS scale score 308.3OSS health 92Update pace 9 commits/30d
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Stars
13,348
Primary language
Jupyter Notebook
License
BSD-3-Clause
Repository last updated
Sep 17, 2026

Overview

Jupyter Notebook is a browser-based environment that combines executable code cells, Markdown narrative, outputs, and visualizations in one notebook document. Language-specific kernels make the interface language-agnostic. Current Notebook v7 is built on JupyterLab frontend components and Jupyter Server, a major architectural change from Classic Notebook v6.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Keep code, explanation, and results in one notebook

Cells can be executed interactively while Markdown, tables, plots, and calculated outputs remain alongside the code, preserving an exploratory workflow as a shareable document.

Sources: [2]

Use different languages through kernels

The notebook interface is language-agnostic and connects to language-specific kernels such as Python, making it a common interactive interface across computing workflows.

Sources: [2]

For reproducible analysis, education, and experimentation

Combining code with narrative and output makes analytical procedures, tutorials, research notes, and experiments easier for others to follow and reproduce.

Sources: [2][4]

Review Classic extension compatibility before moving to Notebook v7

The README states that Notebook v7 uses JupyterLab components and Jupyter Server and that extensions written for Notebook v5 or Classic Notebook v6 are not compatible with v7.

Sources: [2]

Official sources

  1. [1]jupyter/notebook repository(2026-09-20)
  2. [2]Jupyter Notebook README(2026-09-20)
  3. [3]Jupyter Notebook BSD-3-Clause license(2026-09-20)
  4. [4]Jupyter Notebook documentation(2026-09-20)
Supplemental curator note

Jupyter Notebook is effective for reproducible exploration, teaching, and analysis because code, results, and explanation live together. Notebook v7 changed the frontend/server architecture, so Classic Notebook extensions need compatibility review before migration.

Try it in 3 steps

  1. 1

    Install Jupyter Notebook

    Install the current Notebook package in a virtual environment.

    python -m pip install notebook
  2. 2

    Start the Notebook server

    Open the browser-based Notebook interface and create a new notebook.

    jupyter notebook
  3. 3

    Keep code, Markdown, and output together

    Run a small Python cell and add Markdown beside its output to experience the core notebook workflow.

    Create code cell → run → add Markdown cell
Check the official README

Growth

Growth trends · Last 30 days

13,348 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
9
Open PRs
38
Issues opened
9
Issues closed
28
PRs opened
76
PRs merged
51

Issues

9 / 28

Jun 23Sep 20
Issues openedIssues closed

Pull requests

76 / 51

Jun 23Sep 20
PRs openedPRs merged

Maintenance

Median first response
13 min
Issue response rate
42.9% (3/7)

Based on up to the 100 newest issues opened by external users in the last 90 days. A first comment from an OWNER, MEMBER, or COLLABORATOR counts as a response; issues whose full comment history cannot be checked are excluded. The median and response rate update weekly.

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GitHub data

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GitHub Topics

  • closember
  • jupyter
  • jupyter-notebook
  • notebook
Stars
13,348
Forks
5,767
Watchers
322
Open issues
1,858
Contributors
371
Primary language
Jupyter Notebook
Repository last updated
Sep 17, 2026
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