Key differences

  • pyecharts has 4.3× as many GitHub stars as Chartify (15.8K vs 3.7K).
  • pyecharts had more development activity over the last 12 months: 1 commits vs 0.
  • pyecharts is downloaded 336× as often on PyPI (197.8K vs 588 per week).
  • Chartify is licensed under Apache-2.0; pyecharts under MIT.
  • pyecharts is the older project: its repository was created in 2017, Chartify's in 2018.
  • Chartify has had no commits since Oct 16, 2024.

By the numbers

  • Chartify
  • pyecharts
GitHub stars
3.7K 15.8K
PyPI downloads / week
588 197.8K
Commits, last 12 months
0 1
Contributors
19 39
Forks
337 2.8K
Show data as a table
Chartify vs pyecharts by the numbers
MetricChartifypyecharts
GitHub stars3,65615,782
PyPI downloads / week588197,787
Commits, last 12 months01
Contributors1939
Forks3372,838

Development activity

Commits per month to each default branch, last 12 complete months.

  • Chartify
  • pyecharts
00.51 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Oct
00.51 Nov 2025 Feb 2026 May Aug
Show data as a table
Chartify vs pyecharts: commits per month
MonthChartifypyecharts
Nov 202500
Dec 202500
Jan 202600
Feb 202601
Mar 202600
Apr 202600
May 202600
Jun 202600
Jul 202600
Aug 202600
Sep 202600
Oct 202600

Side by side

AttributeChartifypyecharts
DescriptionBokeh wrapper that makes it easy for data scientists to create charts.Python binding for Echarts library.
CategoryPython interactive web charting librariesPython interactive web charting libraries
LicenseApache-2.0MIT
LanguagePythonPython
StatusInactiveMaintained
Latest release5.0.1 ()v2.1.0 ()
Last commit
Repository created
Open issues442
Install
pip install chartify
pip install pyecharts

Which should you choose?

Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.

  • Chartify

    Bokeh wrapper that makes it easy for data scientists to create charts.

    3.7K starsPythonApache-2.0

  • pyecharts

    Python binding for Echarts library.

    15.8K starsPythonMIT

More comparisons