bqplot

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.

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:

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:

pip install bqplot

Using conda:

conda install -c conda-forge bqplot

Note: If you are using JupyterLab <= 2:

jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot

Examples

Using the `pyplot` API

Using the `Object Model` API

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.

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 for the development installation, contributor workflow, and test commands.

License

This software is licensed under the Apache 2.0 license. See the LICENSE file for details.

Release files for bqplot 0.13.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bqplot 0.13.1
File	Size	Uploaded
bqplot-0.13.1.tar.gz	905.5 kB	May 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for bqplot 0.13.1
File	Interpreter	ABI	Platform	Reset
bqplot-0.13.1-py2.py3-none-any.whl 935.4 kB May 7, 2026	Python 2, Python 3	none	any	Details

Total release size: 1.8 MB

Release files / bqplot-0.13.1.tar.gz

Download URL	bqplot-0.13.1.tar.gz
Size	905.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`dd1f55c9bf971b1c3edf571a23edecd707aab5a72c3f5dac3cb98ee233fc6216`
BLAKE2b-256 checksum How to use checksums	`594dbe05e7b7fac8f1daf3e772bc0fa266dfbd34ad6947b1599662e7b2f667db`
Upload date	May 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/bqplot/bqplot
Publishing commit: github.com/bqplot/bqplot/tree/79a478459b0c00ae8f08ab894fef1e61c1e8fd12

Workflow

Publishing configuration: github.com/bqplot/bqplot/blob/79a478459b0c00ae8f08ab894fef1e61c1e8fd12/.github/workflows/build.yml
Publishing logs: github.com/bqplot/bqplot/actions/runs/25485064976/attempts/1

Artifact

Subject: bqplot-0.13.1.tar.gz
SHA-256 checksum: dd1f55c9bf971b1c3edf571a23edecd707aab5a72c3f5dac3cb98ee233fc6216 Verifying attestations

Release files / bqplot-0.13.1-py2.py3-none-any.whl

Download URL	bqplot-0.13.1-py2.py3-none-any.whl
Size	935.4 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`ae6a3bc687c400451524c56e7a05a0f943a0bb38d4e8b065d129a2bcbbd08ddc`
BLAKE2b-256 checksum How to use checksums	`cd7e7a5ffa173dd1cffde4f6f41a7dcc8ef4cefdd3bb9cc6cab8341a4802b686`
Upload date	May 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/bqplot/bqplot
Publishing commit: github.com/bqplot/bqplot/tree/79a478459b0c00ae8f08ab894fef1e61c1e8fd12

Workflow

Publishing configuration: github.com/bqplot/bqplot/blob/79a478459b0c00ae8f08ab894fef1e61c1e8fd12/.github/workflows/build.yml
Publishing logs: github.com/bqplot/bqplot/actions/runs/25485064976/attempts/1

Artifact

Subject: bqplot-0.13.1-py2.py3-none-any.whl
SHA-256 checksum: ae6a3bc687c400451524c56e7a05a0f943a0bb38d4e8b065d129a2bcbbd08ddc Verifying attestations