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: ๐ŸŽจ Python Echarts Plotting Library

GitHub topics: echartspython

Install

PyPI
pip install pyecharts
v2.1.0

Development activity

Commits per month to the default branch over the last 12 complete months.

00.51 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
00.51 Oct 2025 Jan 2026 Apr Jul
2 commits from Oct 2025 to Sep 2026.
Show data as a table
pyecharts commits per month
MonthCommits
Oct 20251
Nov 20250
Dec 20250
Jan 20260
Feb 20261
Mar 20260
Apr 20260
May 20260
Jun 20260
Jul 20260
Aug 20260
Sep 20260

Popularity among Python data visualization libraries

GitHub stars for pyecharts and the most-starred alternatives.
Show data as a table
GitHub stars
ToolStars
Streamlit45,895
Dash24,441
Matplotlib23,323
Bokeh20,455
Taipy19,443
Plotly (Python)18,822
pyecharts15,774

Alternatives to pyecharts

  • Streamlit

    Framework for turning Python scripts into interactive data apps.

    45.9K starsPythonApache-2.0

  • Dash

    Framework for building data apps and dashboards in Python, built on Plotly.js and React.

    24.4K starsPythonMIT

  • Matplotlib

    2D plotting library.

    23.3K starsPythonPSF-2.0

  • Bokeh

    Interactive Web Plotting for Python.

    20.5K starsTypeScriptBSD-3-Clause

  • Taipy

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

    19.4K starsPythonApache-2.0

  • Plotly (Python)

    Interactive web based visualization built on top of plotly.js

    18.8K starsPythonMIT

pyecharts FAQ

Is pyecharts open source?

Yes. pyecharts is released under the MIT license, and its source code is on GitHub.

Is pyecharts still maintained?

Mostly. pyecharts had 2 commits in the last 12 months; the latest was on Feb 10, 2026.

How do I install pyecharts?

From PyPI: pip install pyecharts.

What are the best alternatives to pyecharts?

The most popular alternatives listed in Python data visualization libraries are Streamlit, Dash, and Matplotlib. See the full ranking.

What language is pyecharts written in?

pyecharts is primarily written in Python, according to GitHub.

Data: GitHub API, PyPI. Updated Oct 4, 2026.