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Head-to-head · Notebook Software

Jupyter Notebook vs JupyterLab

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Jupyter Notebook #2 in Notebook Software 9.2/10 Free plan Free plan✓ 2 of 3 features Try Jupyter Notebook
JupyterLab #3 in Notebook Software 9.1/10 Free plan Free plan✓ 2 of 3 features Visit JupyterLab

Jupyter Notebook leads on 0 checks, JupyterLab on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreJupyter Notebook · 9.2/10
  • Free planboth

Jupyter Notebook scores higher on our rubric for notebook software: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

On execution model, JupyterLab gives you Hybrid where Jupyter Notebook offers Local.

Jupyter Notebook is the better fit for general-purpose open notebook work. JupyterLab is the better fit for power users wanting a notebook IDE.

  • Jupyter Notebook fits best

    General-purpose open notebook work

  • JupyterLab fits best

    Power users wanting a notebook IDE

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Side by side

Feature Jupyter Notebook 9.2/10 Visit ↗ JupyterLab 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in Notebook Software #3 in Notebook Software
Best for General-purpose open notebook work Power users wanting a notebook IDE
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Web Web, macOS, Linux
Support Community, Docs Docs
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Jupyter Notebook 2/3 · JupyterLab 2/3
Real-time collaboration ✓ ✓
Version history ✓ ✓
GPU compute Not checked yet Not checked yet
Specs
Execution model Local Hybrid
Supported languages Python, R, Julia, Scala, and other community-maintained kernel languages Python, R, C++, Julia, GNU Octave, Ruby, Scheme
Notebook formats .ipynb JSON; export to HTML, Markdown, LaTeX/PDF, and reStructuredText .ipynb; export to AsciiDoc, HTML, LaTeX, Markdown, PDF, reStructuredText, Python, and Reveal.js HTML
Our review
Pros
  • Free and open source with support for multiple programming languages
  • Combines executable code, Markdown, equations, visualizations, and rich output
  • Supports sharing, collaboration, checkpoints, and multiple export formats
  • Free and open source with notebooks, kernels, terminals, and debugger
  • Supports multiple languages and extensive notebook export formats
  • Combines file browsing, consoles, terminals, and resizable panels
Cons
  • Local execution requires installation and a configured runtime
  • Language support depends on separate or community-maintained kernels
  • GPU execution depends on the configured kernel or infrastructure
  • Real-time collaboration requires the jupyter_collaboration extension
  • Local or server deployment is part of its operating model
  • Broader IDE capabilities may exceed the needs of basic notebook users
Our verdict

Jupyter Notebook is an open-source, browser-based application for creating and sharing computational documents. It is designed for people who need to combine executable code with explanatory text, equations, visualizations, and rich output…

Read the review →

JupyterLab is a free, open-source, web-based environment for creating and working with computational notebooks. It is designed for researchers, educators, developers, data scientists, and other users who need interactive computing, data…

Read the review →
  1. Jupyter NotebookNotebook Software 9.2Free plan
  2. JupyterLabNotebook Software 9.1Free plan

Strengths and trade-offs

  • Jupyter Notebook — where it wins

    • Free and open source with support for multiple programming languages
    • Combines executable code, Markdown, equations, visualizations, and rich output
    • Supports sharing, collaboration, checkpoints, and multiple export formats

    Where it doesn't

    • Local execution requires installation and a configured runtime
    • Language support depends on separate or community-maintained kernels
    • GPU execution depends on the configured kernel or infrastructure
  • JupyterLab — where it wins

    • Free and open source with notebooks, kernels, terminals, and debugger
    • Supports multiple languages and extensive notebook export formats
    • Combines file browsing, consoles, terminals, and resizable panels

    Where it doesn't

    • Real-time collaboration requires the jupyter_collaboration extension
    • Local or server deployment is part of its operating model
    • Broader IDE capabilities may exceed the needs of basic notebook users

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update