# pyecharts

> Python binding for Echarts library.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://pyecharts.org
- Repository: https://github.com/pyecharts/pyecharts
- License: MIT
- Language: Python
- Status: Maintained (commits in the last 12 months)
- GitHub stars: 15,774
- Commits in the last 12 months: 2
- Contributors: 39
- Last commit: Feb 10, 2026
- Latest release: v2.1.0 (Feb 10, 2026)
- Install (PyPI): `pip install pyecharts`, 144.9K downloads per week

## Overview

pyecharts is an open-source Python visualization library released under the MIT license. Its GitHub repository has 15,774 stars, 2,843 forks, and 39 contributors. It is maintained with 2 commits in the last 12 months; the most recent commit was on Feb 10, 2026. The latest release, v2.1.0, was published on Feb 10, 2026. On PyPI it is downloaded about 144.9K 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)
- [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)

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