🆚 Flask vs. Web2py

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

Flask is a lightweight framework for building web applications in Python.

It provides a minimal core that includes URL routing, request/response handling, a built-in development server and debugger, Jinja2 as templating engine, support for RESTful APIs, and the ability to extend functionality via numerous third-party libraries.

Web2py is an open-source full-stack Python framework for rapid development of secure database-driven web applications that works out of the box with no configuration files.

It includes a web-based IDE, a built-in web server, a database abstraction layer, automatic migrations, form generation, support for multiple protocols (HTML, REST, JSON, XML-RPC etc.), and built-in security against common vulnerabilities.

Headquarters

Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #28
Backend Frameworks › Rank #52

Popularity

Determined by the number of sites using each technology.

The Flask backend framework is 32 times more popular than Web2py.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Flask is more popular than Web2py in all countries.
United States
Netherlands
Germany
Norway
Spain
France
United Kingdom
Russia
India
Saudi Arabia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Flask is more popular than Web2py in all market segments.
Business
Marketing/Merchandising
Online Shopping
Internet Services
Technical Information
Blogs/Wiki
Software/Hardware
Education/Reference
General News
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#2,397
spankbang.party
#4,318
View more ➝
Name
Rank
#454,941
#726,185
#841,628
#919,685
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.