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Head-to-head · Notebook Software

JupyterLab vs marimo

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score JupyterLab #3 in Notebook Software 9.1/10 Free plan Free plan✓ 2 of 3 features Visit JupyterLab
marimo #8 in Notebook Software 8.5/10 Free plan Free plan✓ 1 of 3 features Visit marimo

JupyterLab leads on 1 check, marimo on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreJupyterLab · 9.1/10
  • Free planboth
  • Most featuresJupyterLab · 2 of 3

JupyterLab scores higher on our rubric for notebook software: 9.1 against 8.5 out of 10; our editors rank them #3 and #8.

JupyterLab offers version history; marimo doesn't.

JupyterLab is the better fit for power users wanting a notebook IDE. marimo is the better fit for git-friendly reactive Python notebooks.

  • JupyterLab fits best

    Power users wanting a notebook IDE

  • marimo fits best

    Git-friendly reactive Python notebooks

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Side by side

Feature JupyterLab 9.1/10 Visit ↗ marimo 8.5/10 Visit ↗
At a glance
Editor score 9.1 8.5
Ranking #3 in Notebook Software #8 in Notebook Software
Best for Power users wanting a notebook IDE Git-friendly reactive Python notebooks
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Platforms Web, macOS, Linux Web
Support Docs Email, Community, Docs
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features JupyterLab 2/3 · marimo 1/3
Real-time collaboration ✓ (best) Not checked yet
Version history ✓ (best) —
GPU compute Not checked yet ✓ (best)
Specs
Execution model Hybrid Hybrid
Supported languages Python, R, C++, Julia, GNU Octave, Ruby, Scheme Python, SQL
Notebook formats .ipynb; export to AsciiDoc, HTML, LaTeX, Markdown, PDF, reStructuredText, Python, and Reveal.js HTML Python (.py), Jupyter Notebook (.ipynb), HTML, PDF, Markdown
Our review
Pros
  • 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
  • Reactive execution updates dependent cells automatically.
  • Python-file notebooks fit Git-based workflows.
  • Supports widgets, SQL, exports, scripts, and web applications.
Cons
  • 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
  • No version history is listed in the category specifications.
  • Real-time collaboration is not part of the published positioning.
  • The product is focused on Python and SQL workflows.
Our verdict

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 →

marimo is a free, open-source notebook environment for Python and SQL workflows. It is designed for developers, data scientists, ML engineers, researchers, educators, and analysts who need reproducible and shareable computational work. Its…

Read the review →
  1. JupyterLabNotebook Software 9.1Free plan
  2. marimoNotebook Software 8.5Free plan

Strengths and trade-offs

  • 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

  • marimo — where it wins

    • Reactive execution updates dependent cells automatically.
    • Python-file notebooks fit Git-based workflows.
    • Supports widgets, SQL, exports, scripts, and web applications.

    Where it doesn't

    • No version history is listed in the category specifications.
    • Real-time collaboration is not part of the published positioning.
    • The product is focused on Python and SQL workflows.

More comparisons

All notebook software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update