ipychart
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
About ipychart
ipychart is a Python package that creates Chart.js charts inside Jupyter notebook environments. Charts are defined in Python in a similar way to Chart.js and are shown in cell output as interactive, configurable and modular charts.
It can also generate charts directly from a pandas dataframe. It installs with pip or conda and is available under the MIT license.
Key features
- Create Chart.js-style charts using Python code
- Show interactive charts in Jupyter notebook cell output
- Generate charts directly from a pandas dataframe
- Use Chart.js-like configuration and scales
- Install via pip or conda-forge
Best for: Best for Python users who work in Jupyter notebooks and need Chart.js charts.
Good for
- Open source under the MIT license
- Installable with pip or conda
- Supports chart creation from pandas dataframes
ipychart at a glance
- Website
- github.com/nicohlr/ipychart
- Category
- Design & Creative › Charts & Data Visualization
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ipychart FAQ
How do I install ipychart?
Use pip install ipychart or conda install -c conda-forge ipychart from a terminal.
Can I make charts from a pandas dataframe?
Yes, charts can be created directly from a pandas dataframe.
Where do charts appear?
Charts are displayed directly in the output of Jupyter notebook cells.
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