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Reviews on G2 Capterra
332 reviews tracked

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • Interactive computing notebooks
  • Mix code, text, and visualizations
  • Standard tool for data science

Pros

  • Open source
  • Language agnostic
  • Great for data science

Cons

  • Version control issues
  • Can get messy

What is Jupyter?

Jupyter is an open-source interactive computing platform where you can create and share documents containing live code, equations, visualizations, and narrative text. Jupyter Notebooks are the standard for data science, supporting Python, R, Julia, and 40+ languages. Run code cells interactively and see results immediately. Used by researchers, educators, and data scientists worldwide. The foundation of modern data science workflows.

Available on: Web

Ratings Across the Web

4.6 (332 reviews)

Jupyter holds an aggregate rating of 4.6 out of 5 from 332 reviews across G2 and Capterra, last checked September 17, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Interactive notebooks
  • Multi-language support
  • Data visualization
  • Collaboration
  • Extensions
  • Cloud hosting

Pricing Plans

Pricing checked Oct 1, 2026. Source: jupyter.org, read Oct 1, 2026

Jupyter plans and prices, checked October 2026
Plan Price Details
Free

$0

  • Open source BSD license
  • 40+ programming languages
  • Interactive notebooks
+2 more
  • JupyterLab IDE
  • Community support

Is Jupyter worth the price?

Great value

Jupyter's pricing is exceptionally generous, as it is entirely free.

The 'Free' tier offers a comprehensive interactive computing environment with support for numerous languages and a powerful IDE, all at no cost. This makes it an unparalleled option for individuals and organizations seeking a robust, open-source data science and development platform.

Full Jupyter pricing: every plan, hidden costs and alternatives

Jupyter by the numbers

Toolradar data: It is listed as an alternative to 10 other tools on Toolradar, ranking #20 of 130 in IDE & Code Editors. As of Nov 2026.

Jupyter compared with 130 IDE & Code Editors tools on Toolradar, as of Nov 2026
Metric Jupyter Peer median Position (1 is best)
Free plan Yes 90% have one n/a
Listed as an alternative to 10 tools 1 #20 of 130
User rating 4.6/5 (across the web, 332 ratings) 4.4/5 #4 of 44 (joint) tools with 20+ reviews
Compare-page visits, last 30 days 33 visits 41 #34 of 53 (joint) tools with 20+ compare-page visits

Listed as an alternative to: #20 on 2026-10-16 to #20 on 2026-11-02 (rank among 130 tools, 1 is best).

Each position is counted among the tools that have data for that row, as noted under it. All IDE & Code Editors data · How we compute this. Advertising and placement fees are not inputs to any position. Visit counts include visits from every source.

Cite this: Toolradar, “Jupyter by the numbers”, Nov 2026.

Reviews

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4.6/5

Across 332 verified user reviews on G2, Capterra

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Jupyter FAQ

How does Jupyter support data science workflows?

Jupyter is an interactive computing platform that allows users to create and share documents combining live code, equations, visualizations, and narrative text. It is considered the standard for data science, supporting over 40 programming languages including Python, R, and Julia.

Which teams benefit most from using Jupyter?

Jupyter is ideal for researchers, educators, and data scientists worldwide. Its interactive notebooks facilitate exploratory data analysis, teaching, and sharing computational work with immediate results.

How is Jupyter priced?

Jupyter is free to use, as it is an open-source platform. There are no paid plans required to access its features for interactive computing and data science.

What kind of limitations might users encounter with Jupyter?

Users might experience challenges with version control when working with Jupyter notebooks. Additionally, projects can become disorganized or 'messy' if not managed carefully.

Can Jupyter be used with multiple programming languages?

Yes, Jupyter is language agnostic and supports a wide array of programming languages. It works with Python, R, Julia, and more than 40 other languages, making it versatile for various computational tasks.

How does Jupyter compare to CodeSandbox?

Jupyter is primarily an interactive computing platform focused on data science, allowing users to combine live code with text and visualizations. CodeSandbox, while also an IDE, typically focuses more on web development and collaborative coding environments.

Source: jupyter.org

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