AwesomeDataviz

ipychart

The power of Chart.js in Jupyter Notebook.

Website GitHubnpmPyPI
GitHub stars
133
npm downloads / week
8
Commits, last 12 months
0
Contributors
2
Last commit
Latest release
v0.5.2Aug 27, 2024

Overview

ipychart is an open-source Python visualization library released under the MIT license. Its GitHub repository has 133 stars, 11 forks, and 2 contributors. It has not had a commit since Aug 24, 2024. The latest release, v0.5.2, was published on Aug 27, 2024. On npm it is downloaded about 8 times per week.

Its GitHub description: The power of Chart.js with Python

GitHub topics: pythonjupyter-notebookjupyteripywidgetschartjsdata-visualizationdata-sciencejavascript-es6datadata-analysischarting-librarycharts

Install

npm
npm install ipychart
v0.5.2
PyPI
pip install ipychart
v0.5.2

Development activity

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

01 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
01 Oct 2025 Jan 2026 Apr Jul
0 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20250
Nov 20250
Dec 20250
Jan 20260
Feb 20260
Mar 20260
Apr 20260
May 20260
Jun 20260
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Popularity among Python data visualization libraries

Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K ipychart 133
Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K ipychart 133
GitHub stars for ipychart and the most-starred alternatives.
Show data as a table
ToolStars
Streamlit45,895
Dash24,441
Matplotlib23,323
Bokeh20,455
Taipy19,443
Plotly (Python)18,822
ipychart133

Alternatives to ipychart

  • 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

ipychart FAQ

Is ipychart open source?

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

Is ipychart still maintained?

It appears inactive: the latest commit was on Aug 24, 2024, over a year ago. It may still work well, but expect fewer fixes and updates.

How do I install ipychart?

From npm: npm install ipychart. From PyPI: pip install ipychart.

What are the best alternatives to ipychart?

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

What language is ipychart written in?

ipychart is primarily written in Python, according to GitHub.

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