⚡ Python Backend Frameworks

Python backend frameworks allow developers to build server-side web applications and APIs using the Python programming language.

They typically provide request routing, database support, authentication and session handling, asynchronous operations, automatic documentation, and easy integration with Python’s data processing and machine learning libraries.

⭐ Most Popular in 2026

The following chart shows the leading Python-based backend frameworks in 2026, based on market share.

The most popular is Django with a share of 1.1%, followed by Flask with 0.2% and Frappe Framework with 0.01%.

🚀 Country Highlights

Here is a list of frameworks that are especially popular in certain countries.
Differences between global and country rankings are shown in parentheses.

✨ Best Python Backend Frameworks

Below is a more detailed list of 10 Python-based backend frameworks we track, ranked by their market share.

Available filters: PHP Python Java .NET Node.js Ruby Go
RankNameMarket share
1
Django
Huntersville, North Carolina, United States

A high-level Python web framework that encourages rapid development and clean, pragmatic design while following the Model-View-Template architectural pattern and the "don't repeat yourself" principle.

FreeOpen source
2
Flask
Wilmington, Delaware, United States

A lightweight framework for building web applications in Python.

FreeOpen source
3
Frappe Framework
Mumbai, India

A full-stack web application framework written in Python and JavaScript with MariaDB as the primary database.

FreeOpen source
4
CherryPy

An object-oriented Python web framework that lets developers build web applications in a style similar to ordinary Python programs while remaining low level and minimal.

FreeOpen source
5
Web2py

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.

FreeOpen source
6
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
7
Anvil
Cambridge, United Kingdom

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

Free$15+/month
8
Dash
Montreal, Quebec, Canada

An original low-code framework for rapidly building data applications in Python, built on top of Plotly.js, React, and Flask.

FreeOpen source$$$
9
CubicWeb
Paris, France

An open-source Python web framework designed with Semantic Web principles in mind.

FreeOpen source
10
Pyramid
Fredericksburg, Virginia, United States

A small, fast, down-to-earth, open source Python web framework.

FreeOpen source

👉 See Also

Data is based on the analysis of 3,320,618 websites.
Statistics were last calculated on .
For details, see our methodology and disclaimer.