# ipychart

> The power of Chart.js in Jupyter Notebook.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://nicohlr.github.io/ipychart/
- Repository: https://github.com/nicohlr/ipychart
- License: MIT
- Language: Python
- Status: Inactive (no commits in over a year)
- GitHub stars: 133
- Commits in the last 12 months: 0
- Contributors: 2
- Last commit: Aug 24, 2024
- Latest release: v0.5.2 (Aug 27, 2024)
- Install (npm): `npm install ipychart`, 8 downloads per week
- Install (PyPI): `pip install ipychart`, 181 downloads per week
- Topics: Jupyter & notebook visualization

## 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.

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