Interactive plots and applications in the browser from Python
Project description
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.
| Latest Release |
|
Downloads |
|
| License |
|
People |
|
| Sponsorship |
|
Live Tutorial |
|
| Build Status |
|
Static Analysis |
|
| Support |
|
|
If you like Bokeh and would like to support our mission, please consider making a donation.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Installation
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.
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 interacting in the Bokeh project's codebases, issue trackers and discussion forums 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 sponsorship as well as support by the organizations and companies below:
|
|
|
|
|
|
|
|
|
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
The Bokeh project is grateful for the donation of services supporting our collaboration, infrastructure, security, and vulnerability management from the following companies:
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file bokeh-3.0.0.dev7.tar.gz.
File metadata
- Download URL: bokeh-3.0.0.dev7.tar.gz
- Upload date:
- Size: 15.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f8f8f862094f2404abd4780339014996e33d3deac39f65f291bb84ade362706c |
|
| MD5 | 0a8b28c12d08094d03f36cb538c5a720 |
|
| BLAKE2b-256 | cf50b67ae4634ec236257bfade2cd40af51eb1c7b61b9d25715c80f125af2651 |
File details
Details for the file bokeh-3.0.0.dev7-py3-none-any.whl.
File metadata
- Download URL: bokeh-3.0.0.dev7-py3-none-any.whl
- Upload date:
- Size: 16.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c047997724f3c1294b30e1b46e57b0a18158406069ac2ea1354557dcda2c094f |
|
| MD5 | 1124b2f51081e3c06e89b42ced5ba68a |
|
| BLAKE2b-256 | fcb40e30bd3dcb5ec039ea3031fd9cc8010d7d68847ca7806f7b9a767106c3e3 |
