🆚 Jupyter Notebook vs. Replit Apps

Compare technologies based on real-world usage data *

Type

Data science technology
Code sharing technology

About

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.

Replit is an in-browser integrated development environment (IDE) where beginners, educators, and professionals alike can code and share their ideas collaboratively.

Headquarters

Foster City, California, United States

Website

Pricing

Free version ✔️3 public apps, 2 GB storage, 2 GB RAM
Replit Core$25/month
Teams$40/user/month
EnterpriseCustom

Categories

Data Science › Rank #3
Code Sharing › Rank #6
Code Sharing › Rank #5

Popularity

Determined by the number of sites using each technology.

Replit Apps code sharing technology is 1.4 times more popular than Jupyter Notebook.
Total websites

Market share

Code Sharing

Popularity by country

Determined by the number of sites detected from each country.

Replit Apps is more popular in Vietnam, the Philippines, and Indonesia, while Jupyter Notebook is more popular in the United States, Germany, and the United Kingdom.
Vietnam
United States
Philippines
Indonesia
Turkey
Germany
India
United Kingdom
Singapore
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Replit Apps is more popular among sites focused on business, while Jupyter Notebook is more commonly used on education and reference, technical information, and software and hardware sites.
Education/Reference
Technical Information
Software/Hardware
Blogs/Wiki
Business
Personal Pages
Technical/Business Forums
Internet Services
Marketing/Merchandising
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#31,985
#123,688
#124,004
View more ➝
Name
Rank
#45,223
#78,529
#192,144
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

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