Jupyter Notebook

Jupyter Notebook is a web application that allows you to execute code, visualize its output (such as plots, images, tables, etc.), and write explanations - all in a single notebook file.

According to our data, Jupyter Notebook is the third most popular data science technology on the web.
It has 12.1% of the data science market share and is detected on 0.002% of all websites.

πŸ“Š Rankings and Market Share

⚑ Sites Using Jupyter Notebook

We have data on 67 websites that use Jupyter Notebook data science technology. Here is a list of some of the top ranked ones.

The highest rated site using Jupyter Notebook is matplotlib.org.

#WebsiteRankCountryLanguage
1 matplotlib.org #7,747 English
2 ai.google.dev English
3 d2l.ai #31,985 English
4 slicer.org #123,688 English
5 root.cern #124,004 Switzerland English
6 bokeh.org #195,322 English
7 newae.com #288,265 Canada English
8 datalad.org #289,598 English
9 pulsedive.com #328,789 United States English
10 nbviewer.org #420,365 English
11 rapids.ai #423,156 United States English
12 e2b.dev #449,479 United States English
13 py-pkgs.org #452,200 English
14 gluon.ai #463,058 United States English
15 poliastro.space #465,966 English
16 rapidwright.io #475,249 English
17 readiab.org #481,028 English
18 tryalgo.org #627,139 American English
19 newscrewdriver.com #672,278 English
20 einsteinpy.org #711,670 English

πŸ“ˆ Usage Statistics

Most of the sites that use Jupyter Notebook:

Most of the sites using Jupyter Notebook are from the United States, the United Kingdom, and Germany.

  • United States 46.9%
  • United Kingdom 12.5%
  • Germany 9.4%
  • Australia 6.3%
  • France 6.3%
  • Canada 3.1%
  • Czech Republic 3.1%
  • India 3.1%
  • Korea 3.1%
  • Other 6.2%

Most Jupyter Notebook users speak English.

  • English 94%
  • German 1.5%
  • Spanish 1.5%
  • French 1.5%
  • Czech 1.5%

Jupyter Notebook data science technology is especially popular on .org, .com, and .net top-level domains.

  • .org 31.3%
  • .com 29.9%
  • .net 6%
  • .io 6%
  • .ai 6%
  • .info 3%
  • .dev 3%
  • .co.uk 1.5%
  • .cc 1.5%
  • Other 11.8%

The primary market segments for websites utilizing Jupyter Notebook include education and reference, technical information, and blogs and wiki.

  • Education/Reference 22.7%
  • Technical Information 22.7%
  • Blogs/Wiki 18.2%
  • Software/Hardware 18.2%
  • Personal Pages 9.1%
  • Business 4.5%
  • Technical/Business Forums 4.5%
  • Other 0.1%

πŸ•΅οΈ Similar Technologies

These are some of the best Jupyter Notebook alternatives.

RankName
1
Hugging Face
New York, United States

A machine learning and data science platform and community that helps users build, deploy and train machine learning models.

2
Quarto
Boston, Massachusetts, United States

An open-source scientific and technical publishing system based on Markdown that allows users to write in plain-text Markdown or work with Jupyter notebooks and embed executable code in Python, R, Julia, or Observable JS.

FreeOpen source
4
Google Colab
Mountain View, California, United States

A free Jupyter Notebook hosted environment from Google.

6
Anvil
Cambridge, United Kingdom

A platform for building full-stack data applications for the web in Python.

Free$15+/month
7
Streamlit
San Francisco, California, United States

An open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code.

FreeOpen source

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πŸ’¬ Frequently Asked Questions

Which country uses Jupyter Notebook the most?

The majority of Jupyter Notebook users are from the United States.

Who uses Jupyter Notebook?

According to our data, Jupyter Notebook is used on at least 67 sites, including matplotlib.org, ai.google.dev, and d2l.ai.

How does Jupyter Notebook compare to its competitors?

Jupyter Notebook is one of the most popular data science technologies, second only to Hugging Face and Quarto.

What are the alternatives to Jupyter Notebook?

Alternatives and possible competitors to Jupyter Notebook may include Anvil, Streamlit, and Hugging Face.

πŸ‘‰ See Also

Statistics were last calculated on .
For details, see our methodology and disclaimer.