pyecharts
Python binding for Echarts library.
- Maintained
- MIT
- Python
- Python data visualization libraries
- GitHub stars
- 15.8K#37 in the directory
- PyPI downloads / week
- 144.9K
- Commits, last 12 months
- 2
- Contributors
- 39
- Last commit
- Latest release
- v2.1.0Feb 10, 2026
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.
Its GitHub description: ๐จ Python Echarts Plotting Library
GitHub topics: echartspython
Install
Development activity
Commits per month to the default branch over the last 12 complete months.
Show data as a table
| Month | Commits |
|---|---|
| Oct 2025 | 1 |
| Nov 2025 | 0 |
| Dec 2025 | 0 |
| Jan 2026 | 0 |
| Feb 2026 | 1 |
| Mar 2026 | 0 |
| Apr 2026 | 0 |
| May 2026 | 0 |
| Jun 2026 | 0 |
| Jul 2026 | 0 |
| Aug 2026 | 0 |
| Sep 2026 | 0 |
Popularity among Python data visualization libraries
Show data as a table
| Tool | Stars |
|---|---|
| Streamlit | 45,895 |
| Dash | 24,441 |
| Matplotlib | 23,323 |
| Bokeh | 20,455 |
| Taipy | 19,443 |
| Plotly (Python) | 18,822 |
| pyecharts | 15,774 |
Alternatives to pyecharts
-
Streamlit
Framework for turning Python scripts into interactive data apps.
-
Dash
Framework for building data apps and dashboards in Python, built on Plotly.js and React.
-
Matplotlib
2D plotting library.
-
Bokeh
Interactive Web Plotting for Python.
-
Taipy
Python framework for building data and AI web applications with interactive charts and dashboards.
-
Plotly (Python)
Interactive web based visualization built on top of plotly.js
pyecharts FAQ
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Data: GitHub API, PyPI. Updated Oct 4, 2026.