https://github.com/bqplot/bqplot
Plotting library for IPython/Jupyter notebooks
https://github.com/bqplot/bqplot
ipython jupyter visualizations
Last synced: 9 days ago
JSON representation
Plotting library for IPython/Jupyter notebooks
- Host: GitHub
- URL: https://github.com/bqplot/bqplot
- Owner: bqplot
- License: apache-2.0
- Created: 2015-09-26T04:02:18.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2025-08-25T08:10:20.000Z (9 months ago)
- Last Synced: 2025-11-10T03:08:23.934Z (6 months ago)
- Topics: ipython, jupyter, visualizations
- Language: TypeScript
- Homepage: https://bqplot.github.io/bqplot
- Size: 64.2 MB
- Stars: 3,675
- Watchers: 96
- Forks: 475
- Open Issues: 277
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# bqplot
[](https://notebook.link/github/bqplot/bqplot/?path=examples%2FIndex.ipynb)
2-D plotting library for Project Jupyter
## Introduction
`bqplot` is a 2-D visualization system for Jupyter, based on the constructs of
the [*Grammar of Graphics*](https://en.wikipedia.org/wiki/Wilkinson%27s_Grammar_of_Graphics).
[](https://github.com/bqplot/bqplot/blob/master/examples/Applications/Wealth%20Of%20Nations/Bubble%20Chart.ipynb)
In `bqplot`, every component of a plot is an interactive widget. This allows the
user to integrate visualizations with other Jupyter interactive widgets to
create integrated GUIs with a few lines of Python code.
## Documentation
You can follow the documentation on https://bqplot.github.io/bqplot
## Trying it online
To try out `bqplot` interactively in your web browser, just click on the Notebook.link
link:
[](https://notebook.link/github/bqplot/bqplot/?path=examples%2FIndex.ipynb)
### Dependencies
This package depends on the following packages:
- `ipywidgets` (version >=7.0.0, <8.0)
- `traitlets` (version >=4.3.0, <5.0)
- `traittypes` (version >=0.2.1, <0.3)
- `numpy`
- `pandas`
### Installation
Using pip:
```bash
pip install bqplot
```
Using conda:
```bash
conda install -c conda-forge bqplot
```
**Note:** If you are using **JupyterLab <= 2**:
```bash
jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot
```
## Examples
### Using the `pyplot` API
[](https://github.com/bqplot/bqplot/blob/master/examples/Basic%20Plotting/Pyplot.ipynb)
### Using the `Object Model` API
[](https://github.com/bqplot/bqplot/blob/master/examples/Advanced%20Plotting/Advanced%20Plotting.ipynb)
## Install a previous bqplot version (only for JupyterLab <= 2)
In order to install a previous `bqplot` version, you need to know which front-end version (JavaScript) matches with the back-end version (Python).
For example, in order to install `bqplot` `0.11.9`, you need the labextension version `0.4.9`.
```bash
pip install bqplot==0.11.9
jupyter labextension install bqplot@0.4.9
```
Versions lookup table:
| `back-end (Python)` | `front-end (JavaScript)` |
|---------------------|--------------------------|
| 0.12.14 | 0.5.14 |
| 0.12.13 | 0.5.13 |
| 0.12.12 | 0.5.12 |
| 0.12.11 | 0.5.11 |
| 0.12.10 | 0.5.10 |
| 0.12.9 | 0.5.9 |
| 0.12.8 | 0.5.8 |
| 0.12.7 | 0.5.7 |
| 0.12.6 | 0.5.6 |
| 0.12.4 | 0.5.4 |
| 0.12.3 | 0.5.3 |
| 0.12.2 | 0.5.2 |
| 0.12.1 | 0.5.1 |
| 0.12.0 | 0.5.0 |
| 0.11.9 | 0.4.9 |
| 0.11.8 | 0.4.8 |
| 0.11.7 | 0.4.7 |
| 0.11.6 | 0.4.6 |
| 0.11.5 | 0.4.5 |
| 0.11.4 | 0.4.5 |
| 0.11.3 | 0.4.4 |
| 0.11.2 | 0.4.3 |
| 0.11.1 | 0.4.1 |
| 0.11.0 | 0.4.0 |
## Development
See our [contributing guidelines](CONTRIBUTING.md) for the development
installation, contributor workflow, and test commands.
## License
This software is licensed under the Apache 2.0 license. See the [LICENSE](LICENSE) file
for details.