# Taipy

> Python framework for building data and AI web applications with interactive charts and dashboards.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://www.taipy.io
- Repository: https://github.com/Avaiga/taipy
- License: Apache-2.0
- Language: Python
- Status: Maintained (commits in the last 12 months)
- GitHub stars: 19,443
- Commits in the last 12 months: 69
- Contributors: 78
- Last commit: May 7, 2026
- Latest release: 4.1.1 (Feb 16, 2026)
- Install (PyPI): `pip install taipy`, 887 downloads per week
- Topics: Dashboards & BI

## Overview

Taipy is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 19,443 stars, 1,992 forks, and 78 contributors. It is maintained with 69 commits in the last 12 months; the most recent commit was on May 7, 2026. The latest release, 4.1.1, was published on Feb 16, 2026. On PyPI it is downloaded about 887 times per week.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [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)
- [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

- [Streamlit vs Taipy](https://awesomedataviz.com/compare/streamlit-vs-taipy/)
- [Dash vs Taipy](https://awesomedataviz.com/compare/dash-vs-taipy/)
- [Matplotlib vs Taipy](https://awesomedataviz.com/compare/matplotlib-vs-taipy/)
- [Bokeh vs Taipy](https://awesomedataviz.com/compare/bokeh-vs-taipy/)

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