⚡ Python Frontend Frameworks

Python frontend frameworks enable developers to build web-based user interfaces using Python instead of traditional frontend languages.

They typically focus on rapid development of interactive dashboards and applications, providing server-driven rendering, reactive components, and seamless integration with data processing and backend logic written in Python.

Statistics based on 3.3M+ analyzed websites. About this data

⭐ Most Popular in 2026

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

The most popular is Anvil with a share of 0.007%, followed by Streamlit with 0.006% and Dash with 0.003%.

✨ Best Python Frontend Frameworks

Below is a more detailed list of 4 Python-based frontend frameworks we track, ranked by their market share.

Available filters: Cross-Platform JavaScript Java Python Rust
RankNameMarket share
1
Anvil
Cambridge, United Kingdom

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

Free$15+/month
2
Streamlit
San Francisco, California, United States

An open-source Python framework that lets data scientists, engineers, and analysts turn Python scripts into interactive data and machine learning web apps with minimal code.

FreeOpen source$$$
3
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$$$
4
🦄 Unicorn
New Alexandria, Virginia, United States

A reactive component framework for Django that adds rich front-end interactions.

FreeOpen source

👉 See Also

🗃️ About This Data