Description
Bokeh is a Python interactive visualization library that targets modern
web browsers for presentation. Its goal is to provide elegant, concise
construction of novel graphics in the style of D3.js, but also deliver this
capability with high-performance interactivity over very large or streaming
datasets. Bokeh can help anyone who would like to quickly and easily create
interactive plots, dashboards, and data applications.
Please visit the Bokeh web page for more information and full documentation.
To get started quickly, follow the Quickstart in the online documentation.
Be sure to follow us on Twitter @bokehplots, as well as on
Vine, and Youtube!
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
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
Project
Downloads
Build
Community
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 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:
If your company uses Bokeh and is able to sponsor the project, please contact [email protected]
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:
*Note that all licence references and agreements mentioned in the bokeh README section above
are relevant to that project's source code only.