⚡ 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.

⭐ Most Popular in 2026

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

The most popular is Streamlit with a share of 0.006%, followed by Anvil with 0.005% and Dash with 0.002%.

Streamlit 0.006%
Anvil 0.005%
Dash 0.002%
🦄 Unicorn 0.001%

✨ 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

Rank	Name	Market share
1	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	0.006%
2	Anvil Cambridge, United Kingdom A platform for building full-stack data applications for the web in Python. Free$15+/month	0.005%
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$$$	0.002%
4	🦄 Unicorn A reactive component framework for Django that adds rich front-end interactions. FreeOpen source	0.001%

👉 See Also

✨ Related Technologies
- Python
🔗 Links
- ⚡Python Backend Frameworks

Data is based on the analysis of 3,320,618 websites.
Statistics were last calculated on March 21, 2026.
For details, see our methodology and disclaimer.