🆚 Python vs. Ruby on Rails

Compare technologies based on real-world usage data *

Type

Programming language
Backend framework

About

Python is a high-level, scripting, dynamically typed programming language that is particularly popular in data processing and machine learning.

Ruby on Rails is a full-stack framework that includes everything needed to build database-driven web applications using the Model-View-Controller (MVC) pattern.

It emphasizes a standardized folder structure and naming, follows DRY ("don't repeat yourself") and the "convention over configuration" principles, provides an Active Record ORM, a built-in asset pipeline for CSS and JavaScript preprocessing, and an integrated testing framework.

Headquarters

Wilmington, Delaware, United States
Chicago, Illinois, United States

Website

Pricing

Free ✔️Open source

Categories

Programming Languages › Rank #10
Platforms › Rank #6
Platforms › Rank #4
Backend Frameworks › Rank #2

Popularity

Determined by the number of sites using each technology.

The Ruby on Rails backend framework is 8 times more popular than Python.
Total websites

Market share

Platforms

Popularity by country

Determined by the number of sites detected from each country.

Ruby on Rails is more popular in the United States, the United Kingdom, and Germany, while Python is more popular in Switzerland, Belgium, and Ukraine.
United States
United Kingdom
Germany
India
Australia
Netherlands
Canada
Japan
France
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Ruby on Rails is more popular among sites focused on online shopping, marketing and merchandising, and fashion and beauty, while Python is more commonly used on health sites.
Online Shopping
Marketing/Merchandising
Fashion/Beauty
Business
Education/Reference
Internet Services
Entertainment
Blogs/Wiki
Sports
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#240
View more ➝
Name
Rank
#76
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.