# Streamlit

> Framework for turning Python scripts into interactive data apps.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://streamlit.io
- Repository: https://github.com/streamlit/streamlit
- License: Apache-2.0
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 45,895
- Commits in the last 12 months: 2,413
- Contributors: 319
- Last commit: Oct 4, 2026
- Latest release: 1.65.0 (Oct 2, 2026)
- Install (PyPI): `pip install streamlit`, 4.7M downloads per week

## Overview

Streamlit is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 45,895 stars, 4,404 forks, and 319 contributors. It is actively developed with 2,413 commits in the last 12 months. The latest release, 1.65.0, was published on Oct 2, 2026. On PyPI it is downloaded about 4.7M times per week.

## Alternatives

- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)
- [PyGWalker](https://awesomedataviz.com/tools/pygwalker/): Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker. (16K stars)

## Comparisons

- [Dash vs Streamlit](https://awesomedataviz.com/compare/dash-vs-streamlit/)
- [Matplotlib vs Streamlit](https://awesomedataviz.com/compare/matplotlib-vs-streamlit/)
- [Bokeh vs Streamlit](https://awesomedataviz.com/compare/bokeh-vs-streamlit/)
- [Streamlit vs Taipy](https://awesomedataviz.com/compare/streamlit-vs-taipy/)
- [Shiny vs Streamlit](https://awesomedataviz.com/compare/shiny-vs-streamlit/)
- [Plotly (Python) vs Streamlit](https://awesomedataviz.com/compare/plotly-python-vs-streamlit/)
- [Panel vs Streamlit](https://awesomedataviz.com/compare/panel-vs-streamlit/)
- [Shiny for Python vs Streamlit](https://awesomedataviz.com/compare/shiny-for-python-vs-streamlit/)

Source: https://awesomedataviz.com/tools/streamlit/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).