Skip to main content
Bokeh logo -- text is white in dark theme and black in light theme

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.

Package Latest package version Supported Python versions Bokeh license (BSD 3-clause)
Project Github contributors Link to NumFOCUS Link to documentation
Downloads PyPI downloads per month Conda downloads per month
Build Current Bokeh-CI github actions build status Current BokehJS-CI github actions build status Codecov coverage percentage
Community Community support on discourse.bokeh.org Bokeh-tagged questions on Stack Overflow Follow Bokeh on Twitter

Consider making a donation if you enjoy using Bokeh and want to support its development.

4x9 image grid of Bokeh plots

Installation

To install Bokeh and its required dependencies using pip, enter the following command at a Bash or Windows command prompt:

pip install bokeh

To install conda, enter the following command at a Bash or Windows command prompt:

conda install bokeh

Refer to the installation documentation for more details.

Resources

Once Bokeh is installed, check out the first steps guides.

Visit the full documentation site to view the User's Guide or launch the Bokeh tutorial to learn about Bokeh in live Jupyter Notebooks.

Community support is available on the Project Discourse.

If you would like to contribute to Bokeh, please review the Contributor Guide and request an invitation to the Bokeh Dev Slack workspace.

Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the Code of Conduct.

Follow us

Follow us on Twitter @bokeh

Support

Fiscal Support

The Bokeh project is grateful for individual contributions, as well as for monetary support from the organizations and companies listed below:

NumFocus Logo CZI Logo Blackstone Logo
TideLift Logo Anaconda Logo NVidia Logo Rapids Logo

If your company uses Bokeh and is able to sponsor the project, please contact info@bokeh.org

Bokeh is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides Bokeh with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.

Donations to Bokeh are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.

In-kind Support

Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of services:

Metadata

Release files for bokeh 3.2.1

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

Source distribution (sdist)

Source distribution for bokeh 3.2.1
File Size Uploaded
bokeh-3.2.1.tar.gz 7.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for bokeh 3.2.1
File Interpreter ABI Platform
bokeh-3.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 15.1 MB

Release files / bokeh-3.2.1.tar.gz

Download URL bokeh-3.2.1.tar.gz
Size 7.2 MB
Tags Source
SHA-256 checksum
How to use checksums
2371e9a08fd60766879ee8607a4ae54267acfed1e5dee0cc6a20d8348e02e814
BLAKE2b-256 checksum
How to use checksums
cf7fceb7f3949bd24b8df3ad1305f8a863ef4f862eb35fe8c83bd3b6415dbf00
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release files / bokeh-3.2.1-py3-none-any.whl

Download URL bokeh-3.2.1-py3-none-any.whl
Size 7.8 MB
Tags Python 3
SHA-256 checksum
How to use checksums
71b882c2c9233750d80b941ebb980e03d5112f27f84c7bb2293af5c210a8e21c
BLAKE2b-256 checksum
How to use checksums
c65d46cde55344ad96a0570e2f72d9df428349a6a800448f6a5b6140c337f930
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release history Release notifications | RSS feed

3.10.1

2 release files

3.10.0

2 release files

3.9.2

2 release files

3.9.1

2 release files

3.9.0

2 release files

3.8.2

2 release files

3.8.1

2 release files

3.8.0

2 release files

3.7.3

2 release files

3.7.2

2 release files

3.7.1

2 release files

3.7.0

2 release files

3.6.3

2 release files

3.6.2

2 release files

3.6.1

2 release files

3.6.0

2 release files

3.5.2

2 release files

3.5.1

2 release files

3.5.0

2 release files

3.4.3

2 release files

3.4.2

2 release files

3.4.1

2 release files

3.4.0

2 release files

3.3.4

2 release files

3.3.3

2 release files

3.3.2

2 release files

3.3.1

2 release files

3.3.0

2 release files

3.2.2

2 release files

This release

3.2.1 This release

2 release files

3.2.0

2 release files

3.1.1

2 release files

3.1.0

2 release files

3.0.3

2 release files

3.0.2

2 release files

3.0.1

2 release files

3.0.0

2 release files

2.4.3

2 release files

2.4.2

2 release files

2.4.1

2 release files

2.4.0

2 release files

2.3.3

1 release file

2.3.2

1 release file

2.3.1

1 release file

2.3.0

1 release file

2.2.3

1 release file

2.2.2

1 release file

2.2.1

1 release file

2.2.0

1 release file

2.1.1

1 release file

2.1.0

1 release file

2.0.2

1 release file

2.0.1

1 release file

2.0.0

1 release file

1.4.0

1 release file

1.3.4

1 release file

1.3.2

1 release file

1.3.1

1 release file

1.3.0

1 release file

1.2.0

1 release file

1.1.0

1 release file

1.0.4

1 release file

1.0.3

1 release file

1.0.2

1 release file

1.0.1

1 release file

1.0.0

1 release file

0.13.0

1 release file

0.12.16

1 release file

0.12.15

1 release file

0.12.11

1 release file

0.12.10

1 release file

0.12.9

1 release file

0.12.7

1 release file

0.12.6

1 release file

0.12.5

1 release file

0.12.4

1 release file

0.12.1

2 release files

0.12.0

2 release files

0.10.0

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.2

2 release files

0.8.1

2 release files

0.8.0

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.4

2 release files

0.4.1

1 release file

0.4

1 release file

0.3

1 release file

0.2

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page