🆚 Anvil vs. Jupyter Notebook

Type

Backend framework
Data science technology

About

Anvil is a platform for building full-stack data applications for the web in Python.

It provides a drag-and-drop UI designer for forms and pages, allows developers to build both the front-end and back-end entirely in Python, and includes built-in app hosting and a database service called Data Tables, which is based on PostgreSQL.

Jupyter Notebook is an open-source web application for creating and sharing interactive documents called notebooks that combine executable code, visualizations, and narrative text.

It stores notebooks in the JSON-based .ipynb format, allows users to include equations, images, HTML, Markdown, and interactive outputs, and supports more than 40 programming languages through language-specific kernels, including Python, Scala, and R.

Headquarters

Cambridge, United Kingdom
San Francisco, California, United States

Website

Pricing

Free version ✔️ Displays a banner on top of apps
Hobby $15/month
Business $109/developer/month
Enterprise Custom

Categories

Backend Frameworks › Rank #55
Frontend Frameworks › Rank #42
Data Science › Rank #9
Data Science › Rank #3
Code Sharing › Rank #6

Popularity

Determined by the number of sites using each technology.

Jupyter Notebook data science technology is 3 times more popular than Anvil.
Total websites

Market share

Data Science

Popularity by country

Determined by the number of sites detected from each country.

Jupyter Notebook is more popular than Anvil in all countries.
United States
United Kingdom
Germany
Australia
Canada
Spain
Czech Republic
France
India
Italy

Popularity by domain category

Determined by the number of sites in each category.

Jupyter Notebook is more popular than Anvil in all market segments.
Education/Reference
Technical Information
Software/Hardware
Blogs/Wiki
Personal Pages
Business
Forum/Bulletin Boards
Technical/Business Forums

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#196,538
View more ➝
Name
Rank
#31,985
#123,688
#124,004
View more ➝

See also

🗃️ About This Data