{"author":"Bokeh Team","author_email":"info@bokeh.org","bugtrack_url":null,"classifiers":["Development Status :: 5 - Production/Stable","Environment :: Console","Environment :: Web Environment","Intended Audience :: Developers","Intended Audience :: Education","Intended Audience :: End Users/Desktop","Intended Audience :: Financial and Insurance Industry","Intended Audience :: Healthcare Industry","Intended Audience :: Information Technology","Intended Audience :: Legal Industry","Intended Audience :: Other Audience","Intended Audience :: Science/Research","License :: OSI Approved :: BSD License","Programming Language :: JavaScript","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Topic :: Office/Business","Topic :: Office/Business :: Financial","Topic :: Scientific/Engineering","Topic :: Scientific/Engineering :: Information Analysis","Topic :: Scientific/Engineering :: Mathematics","Topic :: Scientific/Engineering :: Visualization","Topic :: Utilities"],"description":"

\n\n----\n\n[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.\n\n\n\n\n\n \n\n \n\n \n\n \n\n\n\n\n\n \n\n \n\n \n\n \n\n\n\n\n\n \n\n \n\n \n\n \n\n\n\n\n\n \n\n \n\n \n\n \n\n\n\n\n\n \n\n \n\n \n\n\n\n\n

Package	\n $\"Latest$ \n	\n \n $\"Supported$ \n \n	\n \n $\"Bokeh$ \n \n
Project	\n $\"Github$ \n	\n \n $\"Link$ \n \n	\n \n $\"Link$ \n \n
Downloads	\n \n $\"PyPI$ \n \n	\n \n $\"Conda$ \n \n	\n \n $\"NPM$ \n \n
Build	\n \n $\"Current$ \n \n	\n \n $\"Current$ \n \n	\n \n $\"Codecov$ \n \n
Community	\n \n $\"Community$ \n \n	\n \n $\"Bokeh-tagged$ \n \n

\n\n*Consider [making a donation](https://opencollective.com/bokeh) if you enjoy using Bokeh and want to support its development.*\n\n![4x9 image grid of Bokeh plots](https://user-images.githubusercontent.com/1078448/190840954-dc243c99-9295-44de-88e9-fafd0f4f7f8a.jpg)\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 using `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 [checkout the Bokeh tutorial repository](https://github.com/bokeh/tutorial/) 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/HEAD/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\n\n\n \n\n \n\n \n\n \n \n\n \n\n \n\n \n\n \n\n\n

\n \n $\"NumFocus$ \n \n	\n \n $\"CZI$ \n \n	\n \n $\"Blackstone$ \n \n
\n \n $\"TideLift$ \n \n	\n \n $\"Anaconda$ \n \n	\n \n $\"NVidia$ \n \n	\n \n $\"Rapids$ \n \n

\n\nIf your company uses Bokeh and is able to sponsor the project, please contact info@bokeh.org\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","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":["License-File"],"home_page":null,"keywords":null,"license":"Copyright (c) Anaconda, Inc., and Bokeh Contributors\n All rights reserved.\n \n Redistribution and use in source and binary forms, with or without modification,\n are permitted provided that the following conditions are met:\n \n Redistributions of source code must retain the above copyright notice,\n this list of conditions and the following disclaimer.\n \n Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n \n Neither the name of Anaconda nor the names of any contributors\n may be used to endorse or promote products derived from this software\n without specific prior written permission.\n \n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n THE POSSIBILITY OF SUCH DAMAGE.\n ","license_expression":null,"license_files":["LICENSE.txt"],"maintainer":null,"maintainer_email":null,"name":"bokeh","package_url":"https://pypi.org/project/bokeh/","platform":null,"project_url":"https://pypi.org/project/bokeh/","project_urls":{"documentation":"https://docs.bokeh.org","homepage":"https://bokeh.org","repository":"https://github.com/bokeh/bokeh"},"provides_extra":null,"release_url":"https://pypi.org/project/bokeh/3.7.3/","requires_dist":["Jinja2>=2.9","contourpy>=1.2","narwhals>=1.13","numpy>=1.16","packaging>=16.8","pandas>=1.2","pillow>=7.1.0","PyYAML>=3.10","tornado>=6.2; sys_platform != \"emscripten\"","xyzservices>=2021.09.1"],"requires_python":">=3.10","summary":"Interactive plots and applications in the browser from Python","version":"3.7.3","yanked":false,"yanked_reason":null}

Dependencies of bokeh (10).
Dependency	Optional
contourpy	false
Jinja2	false
narwhals	false
numpy	false
packaging	false
pandas	false
pillow	false
PyYAML	false
tornado	false
xyzservices	false

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