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.
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Consider making a donation if you enjoy using Bokeh and want to support its development.
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 using 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 checkout the Bokeh tutorial repository 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.
Support
Fiscal Support
The Bokeh project is grateful for individual contributions, as well as for present and past monetary support from the organizations and companies listed below:
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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:
2 maintainers
Metadata
2 maintainers
Release files for bokeh 3.10.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bokeh-3.10.1.tar.gz | 6.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bokeh-3.10.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 MB
Release files / bokeh-3.10.1.tar.gz
| Download URL | bokeh-3.10.1.tar.gz |
|---|---|
| Size | 6.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.
Transparency logRelease files / bokeh-3.10.1-py3-none-any.whl
| Download URL | bokeh-3.10.1-py3-none-any.whl |
|---|---|
| Size | 6.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.
Transparency log
