| Name | bokeh JSON |
| Version |
3.4.1
JSON |
| download |
| home_page | None |
| Summary | Interactive plots and applications in the browser from Python |
| upload_time | 2024-04-11 21:02:28 |
| maintainer | None |
| docs_url | None |
| author | Bokeh Team |
| requires_python | >=3.9 |
| license | Copyright (c) Anaconda, Inc., and Bokeh Contributors All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Anaconda nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-white-text-no-padding.svg">
<img src="https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-black-text-no-padding.svg" alt="Bokeh logo -- text is white in dark theme and black in light theme" height=60/>
</picture>
----
[Bokeh](https://bokeh.org) 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.
<table>
<tr>
<td>Package</td>
<td>
<img src="https://img.shields.io/pypi/v/bokeh?label=Version&color=ECD078&style=for-the-badge"
alt="Latest package version" />
</td>
<td>
<a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html">
<img src="https://img.shields.io/pypi/pyversions/bokeh?color=ECD078&style=for-the-badge"
alt="Supported Python versions" />
</a>
</td>
<td>
<a href="https://github.com/bokeh/bokeh/blob/main/LICENSE.txt">
<img src="https://img.shields.io/github/license/bokeh/bokeh.svg?color=ECD078&style=for-the-badge"
alt="Bokeh license (BSD 3-clause)" />
</a>
</td>
</tr>
<tr>
<td>Project</td>
<td>
<img src="https://img.shields.io/github/contributors-anon/bokeh/bokeh?color=ECD078&style=for-the-badge"
alt="Github contributors" />
</td>
<td>
<a href="https://numfocus.org">
<img src="https://img.shields.io/badge/sponsor-numfocus-ECD078?style=for-the-badge"
alt="Link to NumFOCUS" />
</a>
</td>
<td>
<a href="https://docs.bokeh.org/en/latest/">
<img src="https://img.shields.io/badge/documentation-latest-ECD078?style=for-the-badge"
alt="Link to documentation" />
</a>
</td>
</tr>
<tr>
<td>Downloads</td>
<td>
<a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html">
<img src="https://img.shields.io/pypi/dm/bokeh?color=D98B43&label=pypi&logo=python&logoColor=yellow&style=for-the-badge"
alt="PyPI downloads per month" />
</a>
</td>
<td>
<a href="https://docs.bokeh.org/en/latest/docs/first_steps/installation.html">
<img src="https://img.shields.io/conda/d/conda-forge/bokeh?style=for-the-badge&logo=python&color=D98B43&logoColor=yellow"
alt="Conda downloads per month" />
</a>
</td>
<td>
<a href="https://www.npmjs.com/package/@bokeh/bokehjs">
<img src="https://img.shields.io/npm/dm/%40bokeh/bokehjs?style=for-the-badge&logo=npm&label=NPM&color=D98B43"
alt="NPM downloads per month" />
</a>
</td>
</tr>
<tr>
<td>Build</td>
<td>
<a href="https://github.com/bokeh/bokeh/actions">
<img src="https://img.shields.io/github/actions/workflow/status/bokeh/bokeh/bokeh-ci.yml?label=Bokeh-CI&logo=github&style=for-the-badge"
alt="Current Bokeh-CI github actions build status" />
</a>
</td>
<td>
<a href="https://github.com/bokeh/bokeh/actions">
<img src="https://img.shields.io/github/actions/workflow/status/bokeh/bokeh/bokehjs-ci.yml?label=BokehJS-CI&logo=github&style=for-the-badge"
alt="Current BokehJS-CI github actions build status" />
</a>
</td>
<td>
<a href="https://codecov.io/gh/bokeh/bokeh" >
<img src="https://img.shields.io/codecov/c/github/bokeh/bokeh?logo=codecov&style=for-the-badge&token=bhEzGkDUaw"
alt="Codecov coverage percentage" />
</a>
</td>
</tr>
<tr>
<td>Community</td>
<td>
<a href="https://discourse.bokeh.org">
<img src="https://img.shields.io/discourse/https/discourse.bokeh.org/posts.svg?color=blue&logo=discourse&style=for-the-badge"
alt="Community support on discourse.bokeh.org" />
</a>
</td>
<td>
<a href="https://stackoverflow.com/questions/tagged/bokeh">
<img src="https://img.shields.io/stackexchange/stackoverflow/t/%5Bbokeh%5D?style=for-the-badge&logo=stackoverflow&label=stackoverflow&color=blue"
alt="Bokeh-tagged questions on Stack Overflow" />
</a>
</td>
</tr>
</table>
*Consider [making a donation](https://opencollective.com/bokeh) 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](https://docs.bokeh.org/en/latest/docs/first_steps/installation.html) for more details.
## Resources
Once Bokeh is installed, check out the [first steps guides](https://docs.bokeh.org/en/latest/docs/first_steps.html#first-steps-guides).
Visit the [full documentation site](https://docs.bokeh.org) to view the [User's Guide](https://docs.bokeh.org/en/latest/docs/user_guide.html) or [launch the Bokeh tutorial](https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/HEAD?labpath=index.ipynb) to learn about Bokeh in live Jupyter Notebooks.
Community support is available on the [Project Discourse](https://discourse.bokeh.org).
If you would like to contribute to Bokeh, please review the [Contributor Guide](https://docs.bokeh.org/en/latest/docs/dev_guide.html) and [request an invitation to the Bokeh Dev Slack workspace](https://slack-invite.bokeh.org/).
*Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the [Code of Conduct](https://github.com/bokeh/bokeh/blob/branch-3.0/docs/CODE_OF_CONDUCT.md).*
## Support
### Fiscal Support
The Bokeh project is grateful for [individual contributions](https://opencollective.com/bokeh), as well as for monetary support from the organizations and companies listed below:
<table align="center">
<tr>
<td>
<a href="https://www.numfocus.org/">
<img src="https://static.bokeh.org/sponsor/numfocus.svg"
alt="NumFocus Logo" width="200"/>
</a>
</td>
<td>
<a href="https://chanzuckerberg.com/">
<img src="https://static.bokeh.org/sponsor/czi.svg"
alt="CZI Logo" width="200"/>
</a>
</td>
<td colspan="2">
<a href="https://www.blackstone.com/the-firm/">
<img src="https://static.bokeh.org/sponsor/blackstone.png"
alt="Blackstone Logo" width="400"/>
</a>
</td>
</tr>
<tr>
<td>
<a href="https://tidelift.com/">
<img src="https://static.bokeh.org/sponsor/tidelift.svg"
alt="TideLift Logo" width="200"/>
</a>
</td>
<td>
<a href="https://www.anaconda.com/">
<img src="https://static.bokeh.org/sponsor/anaconda.png"
alt="Anaconda Logo" width="200"/>
</a>
</td>
<td>
<a href="https://www.nvidia.com">
<img src="https://static.bokeh.org/sponsor/nvidia.png"
alt="NVidia Logo" width="200"/>
</a>
</td>
<td>
<a href="https://developer.nvidia.com/rapids">
<img src="https://static.bokeh.org/sponsor/rapids.png"
alt="Rapids Logo" width="200"/>
</a>
</td>
</tr>
</table>
If your company uses Bokeh and is able to sponsor the project, please contact <a href="info@bokeh.org">info@bokeh.org</a>
*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](https://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:
* [Amazon Web Services](https://aws.amazon.com/)
* [GitGuardian](https://gitguardian.com/)
* [GitHub](https://github.com/)
* [makepath](https://makepath.com/)
* [Pingdom](https://www.pingdom.com/website-monitoring)
* [Slack](https://slack.com)
* [QuestionScout](https://www.questionscout.com/)
* [1Password](https://1password.com/)
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"description": "<picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-white-text-no-padding.svg\">\n <img src=\"https://raw.githubusercontent.com/bokeh/pm/main/assets/logos/SVG/bokeh-logo-black-text-no-padding.svg\" alt=\"Bokeh logo -- text is white in dark theme and black in light theme\" height=60/>\n</picture>\n\n----\n\n[Bokeh](https://bokeh.org) is an\u00a0interactive visualization\u00a0library for modern web browsers. It provides elegant, concise\u00a0construction\u00a0of versatile graphics and affords high-performance interactivity across large or streaming datasets.\u00a0Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.\n\n<table>\n\n<tr>\n\n <td>Package</td>\n\n <td>\n <img src=\"https://img.shields.io/pypi/v/bokeh?label=Version&color=ECD078&style=for-the-badge\"\n alt=\"Latest package version\" />\n </td>\n\n <td>\n <a href=\"https://docs.bokeh.org/en/latest/docs/first_steps/installation.html\">\n <img src=\"https://img.shields.io/pypi/pyversions/bokeh?color=ECD078&style=for-the-badge\"\n alt=\"Supported Python versions\" />\n </a>\n </td>\n\n <td>\n <a href=\"https://github.com/bokeh/bokeh/blob/main/LICENSE.txt\">\n <img src=\"https://img.shields.io/github/license/bokeh/bokeh.svg?color=ECD078&style=for-the-badge\"\n alt=\"Bokeh license (BSD 3-clause)\" />\n </a>\n </td>\n\n</tr>\n\n<tr>\n\n <td>Project</td>\n\n <td>\n <img 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src=\"https://img.shields.io/conda/d/conda-forge/bokeh?style=for-the-badge&logo=python&color=D98B43&logoColor=yellow\"\n alt=\"Conda downloads per month\" />\n </a>\n </td>\n\n <td>\n <a href=\"https://www.npmjs.com/package/@bokeh/bokehjs\">\n <img src=\"https://img.shields.io/npm/dm/%40bokeh/bokehjs?style=for-the-badge&logo=npm&label=NPM&color=D98B43\"\n alt=\"NPM downloads per month\" />\n </a>\n </td>\n\n</tr>\n\n<tr>\n\n <td>Build</td>\n\n <td>\n <a href=\"https://github.com/bokeh/bokeh/actions\">\n <img src=\"https://img.shields.io/github/actions/workflow/status/bokeh/bokeh/bokeh-ci.yml?label=Bokeh-CI&logo=github&style=for-the-badge\"\n alt=\"Current Bokeh-CI github actions build status\" />\n </a>\n </td>\n\n <td>\n <a href=\"https://github.com/bokeh/bokeh/actions\">\n <img src=\"https://img.shields.io/github/actions/workflow/status/bokeh/bokeh/bokehjs-ci.yml?label=BokehJS-CI&logo=github&style=for-the-badge\"\n alt=\"Current BokehJS-CI github actions build status\" />\n </a>\n </td>\n\n <td>\n <a href=\"https://codecov.io/gh/bokeh/bokeh\" >\n <img src=\"https://img.shields.io/codecov/c/github/bokeh/bokeh?logo=codecov&style=for-the-badge&token=bhEzGkDUaw\"\n alt=\"Codecov coverage percentage\" />\n </a>\n </td>\n\n</tr>\n\n<tr>\n\n <td>Community</td>\n\n <td>\n <a href=\"https://discourse.bokeh.org\">\n <img src=\"https://img.shields.io/discourse/https/discourse.bokeh.org/posts.svg?color=blue&logo=discourse&style=for-the-badge\"\n alt=\"Community support on discourse.bokeh.org\" />\n </a>\n </td>\n\n <td>\n <a href=\"https://stackoverflow.com/questions/tagged/bokeh\">\n <img src=\"https://img.shields.io/stackexchange/stackoverflow/t/%5Bbokeh%5D?style=for-the-badge&logo=stackoverflow&label=stackoverflow&color=blue\"\n alt=\"Bokeh-tagged questions on Stack Overflow\" />\n </a>\n </td>\n\n</tr>\n\n\n</table>\n\n*Consider [making a donation](https://opencollective.com/bokeh) if you enjoy using Bokeh and want to support its development.*\n\n\n\n## Installation\n\nTo install Bokeh and its required dependencies using `pip`, enter the following command at a Bash or Windows command prompt:\n```\npip install bokeh\n```\n\nTo install `conda`, enter the following command at a Bash or Windows command prompt:\n\n```\nconda install bokeh\n```\n\nRefer to the [installation documentation](https://docs.bokeh.org/en/latest/docs/first_steps/installation.html) for more details.\n\n## Resources\n\nOnce Bokeh is installed, check out the [first steps guides](https://docs.bokeh.org/en/latest/docs/first_steps.html#first-steps-guides).\n\nVisit the [full documentation site](https://docs.bokeh.org) to view the [User's Guide](https://docs.bokeh.org/en/latest/docs/user_guide.html) or [launch the Bokeh tutorial](https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/HEAD?labpath=index.ipynb) to learn about Bokeh in live Jupyter Notebooks.\n\nCommunity support is available on the [Project Discourse](https://discourse.bokeh.org).\n\nIf you would like to contribute to Bokeh, please review the [Contributor Guide](https://docs.bokeh.org/en/latest/docs/dev_guide.html) and [request an invitation to the Bokeh Dev Slack workspace](https://slack-invite.bokeh.org/).\n\n*Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the [Code of Conduct](https://github.com/bokeh/bokeh/blob/branch-3.0/docs/CODE_OF_CONDUCT.md).*\n\n## Support\n\n### Fiscal Support\n\nThe Bokeh project is grateful for [individual contributions](https://opencollective.com/bokeh), as well as for monetary support from the organizations and companies listed below:\n\n<table align=\"center\">\n<tr>\n\n <td>\n <a href=\"https://www.numfocus.org/\">\n <img src=\"https://static.bokeh.org/sponsor/numfocus.svg\"\n alt=\"NumFocus Logo\" width=\"200\"/>\n </a>\n </td>\n\n <td>\n <a href=\"https://chanzuckerberg.com/\">\n <img src=\"https://static.bokeh.org/sponsor/czi.svg\"\n alt=\"CZI Logo\" width=\"200\"/>\n </a>\n 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href=\"info@bokeh.org\">info@bokeh.org</a>\n\n*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](https://numfocus.org) for more information.*\n\n*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.*\n\n### In-kind Support\n\nNon-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:\n\n* [Amazon Web Services](https://aws.amazon.com/)\n* [GitGuardian](https://gitguardian.com/)\n* [GitHub](https://github.com/)\n* [makepath](https://makepath.com/)\n* [Pingdom](https://www.pingdom.com/website-monitoring)\n* [Slack](https://slack.com)\n* [QuestionScout](https://www.questionscout.com/)\n* [1Password](https://1password.com/)\n",
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