Metadata-Version: 2.1 Name: bokeh Version: 3.4.1 Summary: Interactive plots and applications in the browser from Python Author: Bokeh Team Author-email: info@bokeh.org 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. Project-URL: homepage, https://bokeh.org Project-URL: documentation, https://docs.bokeh.org Project-URL: repository, https://github.com/bokeh/bokeh Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Console Classifier: Environment :: Web Environment Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: End Users/Desktop Classifier: Intended Audience :: Financial and Insurance Industry Classifier: Intended Audience :: Healthcare Industry Classifier: Intended Audience :: Information Technology Classifier: Intended Audience :: Legal Industry Classifier: Intended Audience :: Other Audience Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: BSD License Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3 :: Only Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: JavaScript Classifier: Topic :: Office/Business Classifier: Topic :: Office/Business :: Financial Classifier: Topic :: Scientific/Engineering Classifier: Topic :: Scientific/Engineering :: Visualization Classifier: Topic :: Scientific/Engineering :: Mathematics Classifier: Topic :: Scientific/Engineering :: Information Analysis Classifier: Topic :: Utilities Requires-Python: >=3.9 Description-Content-Type: text/markdown License-File: LICENSE.txt Requires-Dist: Jinja2 >=2.9 Requires-Dist: contourpy >=1.2 Requires-Dist: numpy >=1.16 Requires-Dist: packaging >=16.8 Requires-Dist: pandas >=1.2 Requires-Dist: pillow >=7.1.0 Requires-Dist: PyYAML >=3.10 Requires-Dist: tornado >=6.2 Requires-Dist: xyzservices >=2021.09.1 Bokeh logo -- text is white in dark theme and black in light theme ---- [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.
Package Latest package version Supported Python versions Bokeh license (BSD 3-clause)
Project Github contributors Link to NumFOCUS Link to documentation
Downloads PyPI downloads per month Conda downloads per month NPM downloads per month
Build Current Bokeh-CI github actions build status Current BokehJS-CI github actions build status Codecov coverage percentage
Community Community support on discourse.bokeh.org Bokeh-tagged questions on Stack Overflow
*Consider [making a donation](https://opencollective.com/bokeh) if you enjoy using Bokeh and want to support its development.* ![4x9 image grid of Bokeh plots](https://user-images.githubusercontent.com/1078448/190840954-dc243c99-9295-44de-88e9-fafd0f4f7f8a.jpg) ## 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:
NumFocus Logo CZI Logo Blackstone Logo
TideLift Logo Anaconda Logo NVidia Logo Rapids Logo
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](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/)