Interactive Web Plotting for Python
HuntJSparra and bryevdv Initial boilerplate for bokeh/document (#8350)
* Initial boilerplate for bokeh/document

Also changed a test name from Tes.... to Test...

* Moved locking API to General
Latest commit df4e1df Oct 20, 2018
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.github Update Aug 5, 2017
bokeh Initial boilerplate for bokeh/document (#8350) Oct 20, 2018
bokehjs 'Updating for version 1.0.0rc3' Oct 18, 2018
conda.recipe Update Examples for 1.0 (#8339) Oct 18, 2018
docker-tools REF: Rename ci scripts, use dot (.) instead of colon (:) #8089 (#8090) Jul 20, 2018
examples [WIP] MultiPolygons with holes (#8340) Oct 18, 2018
scripts Update Examples for 1.0 (#8339) Oct 18, 2018
sphinx Chaco link is a 404 - changed to git repo URL (#8345) Oct 19, 2018
tests Autohide toolbar (#8318) Oct 15, 2018
.appveyor.yml refine appveyor.yml settings (#8254) Sep 18, 2018
.bettercodehub.yml Finalize rename bokehjs/src/{coffee->lib} (#7792) Apr 12, 2018
.dockerignore Developer docker tools (#6375) Jul 16, 2017
.gitattributes add versioneer for version better automatic version number support Oct 10, 2013
.gitignore Windows platform test corrections (#8213) Sep 17, 2018
.travis.yml Added unit/integration tests for python3.7 (#8217) Sep 7, 2018
CHANGELOG 'Updating for version 0.13.0' Jun 20, 2018 remove trailing space Oct 3, 2018
LICENSE.txt Include explicit mention of Bokeh Contributors Oct 8, 2018
MAINTAINERS Add new maintainer to the list (#7973) Jun 6, 2018 Rewrite api in TypeScript (#7395) Jan 11, 2018 Update Sep 18, 2018 REF: Use generators inplace of lists #8092 (#8101) Jul 23, 2018
classifiers.txt Use `git ls-files` to collect files for code quality tests (#5751) Jan 19, 2017 Restore selenium tests (#8110) Aug 2, 2018
examples.yaml Bryanv/5231 json embeds (#8193) Oct 5, 2018
requirements.txt Use `git ls-files` to collect files for code quality tests (#5751) Jan 19, 2017
secrets.tar.enc Enable and pypi uploads. Jun 19, 2015
setup.cfg Bryanv/test cleanup (#8091) Jul 20, 2018 Add CustomAction toolbar action (#8099) Jul 23, 2018 Use `git ls-files` to collect files for code quality tests (#5751) Jan 19, 2017


Bokeh is a fiscally sponsored project of NumFOCUS, a nonprofit dedicated to supporting the open-source scientific computing community. If you like Bokeh and would like to support our mission, please consider making a donation.

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Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers. With Bokeh, you can quickly and easily create interactive plots, dashboards, and data applications.

Bokeh provides an elegant and concise way to construct versatile graphics while delivering high-performance interactivity for large or streamed datasets.

Interactive gallery

colormapped image plot thumbnail anscombe plot thumbnail stocks plot thumbnail lorenz attractor plot thumbnail candlestick plot thumbnail scatter plot thumbnail SPLOM plot thumbnail
iris dataset plot thumbnail histogram plot thumbnail periodic table plot thumbnail choropleth plot thumbnail burtin antibiotic data plot thumbnail streamline plot thumbnail RGBA image plot thumbnail
stacked bars plot thumbnail quiver plot thumbnail elements data plot thumbnail boxplot thumbnail categorical plot thumbnail unemployment data plot thumbnail Les Mis co-occurrence plot thumbnail


The easiest way to install Bokeh is using the Anaconda Python distribution and its included Conda package management system. To install Bokeh and its required dependencies, enter the following command at a Bash or Windows command prompt:

conda install bokeh

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

pip install bokeh

For more information, refer to the installation documentation.

Once Bokeh is installed, check out the Getting Started section of the Quickstart guide.


Visit the Bokeh site for information and full documentation, or launch the Bokeh tutorial to learn about Bokeh in live Jupyter Notebooks.

Contribute to Bokeh

If you would like to contribute to Bokeh, please review the Developer Guide.

Follow us

Follow us on Twitter @bokehplots

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