{
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        "author": "Bokeh Team",
        "author_email": "info@bokeh.org",
        "bugtrack_url": null,
        "classifiers": [
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            "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 :: Freely Distributable",
            "License :: OSI Approved",
            "Programming Language :: JavaScript",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Office/Business",
            "Topic :: Office/Business :: Financial",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Visualization",
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        "description": "<a href=\"https://bokeh.org\">\n  <img src=\"https://static.bokeh.org/logos/logotype.svg\" height=\"60\" width=\"150\" alt=\"Bokeh logotype\" />\n</a>\n\n*Bokeh is a fiscally sponsored project of [NumFOCUS](https://numfocus.org), a nonprofit dedicated to supporting the open-source scientific computing community. If you like Bokeh and would like to support our mission, please consider [making a donation](https://numfocus.salsalabs.org/donate-to-bokeh/index.html).*\n\n<table>\n\n<tr>\n  <td>Latest Release</td>\n  <td>\n    <img src=\"https://badge.fury.io/gh/bokeh%2Fbokeh.svg\" alt=\"Latest release version\" />\n    <a href=\"https://badge.fury.io/js/bokehjs\">\n      <img src=\"https://badge.fury.io/js/bokehjs.svg\" alt=\"npm version\">\n    </a>\n  </td>\n\n  <td>Conda</td>\n  <td>\n    <a href=\"https://bokeh.pydata.org/en/latest/docs/installation.html\">\n    <img src=\"https://pyviz.org/_static/cache/bokeh_conda_downloads_badge.svg\"\n         alt=\"Conda downloads per month\" />\n    </a>\n  </td>\n</tr>\n\n<tr>\n  <td>License</td>\n  <td>\n    <a href=\"https://github.com/bokeh/bokeh/blob/master/LICENSE.txt\">\n    <img src=\"https://img.shields.io/github/license/bokeh/bokeh.svg\"\n         alt=\"Bokeh license (BSD 3-clause)\" />\n    </a>\n  </td>\n\n  <td>PyPI</td>\n  <td>\n    <a href=\"https://bokeh.pydata.org/en/latest/docs/installation.html\">\n    <img src=\"https://img.shields.io/pypi/dm/bokeh.svg\"\n         alt=\"PyPI downloads per month\" />\n    </a>\n  </td>\n</tr>\n\n<tr>\n  <td>Sponsorship</td>\n  <td>\n    <a href=\"http://numfocus.org\">\n    <img src=\"https://img.shields.io/badge/powered%20by-NumFOCUS-black.svg?style=flat&colorA=5B5B5B&colorB=007D8A\"\n         alt=\"Powered by NumFOCUS\" />\n    </a>\n  </td>\n\n  <td>Live Tutorial</td>\n  <td>\n    <a href=\"https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/master?filepath=tutorial%2F00%20-%20Introduction%20and%20Setup.ipynb\">\n    <img src=\"https://mybinder.org/badge.svg\"\n         alt=\"Live Bokeh tutorial notebooks on MyBinder\" />\n    </a>\n  </td>\n</tr>\n\n<tr>\n  <td>Build Status</td>\n  <td>\n    <a href=\"https://travis-ci.org/bokeh/bokeh\">\n    <img src=\"https://travis-ci.org/bokeh/bokeh.svg?branch=master\"\n         alt=\"Current TravisCI build status\" />\n    </a>\n    <a href=\"https://ci.appveyor.com/project/bokeh-integrations/bokeh\">\n    <img src=\"https://ci.appveyor.com/api/projects/status/u4idf25dhp219mho?svg=true\"\n         alt=\"Current Appveyor build status\" />\n    </a>\n  </td>\n\n  <td>Support</td>\n  <td>\n    <a href=\"https://discourse.bokeh.org\">\n    <img src=\"https://img.shields.io/discourse/https/discourse.bokeh.org/posts.svg\"\n         alt=\"Community Support on discourse.bokeh.org\" />\n    </a>\n  </td>\n</tr>\n\n<tr>\n  <td>Static Analysis</td>\n  <td>\n    <a href=\"https://bettercodehub.com/edge/badge/bokeh/bokeh?branch=master\">\n    <img src=\"https://bettercodehub.com/edge/badge/bokeh/bokeh?branch=master\"\n         alt=\"BetterCodeHub static analysis\" >\n    </a>\n  </td>\n\n  <td>Twitter</td>\n  <td>\n    <a href=\"https://twitter.com/BokehPlots\">\n    <img src=\"https://img.shields.io/twitter/follow/bokehplots.svg?style=social&label=Follow\"\n         alt=\"Follow BokehPlots on Twitter\" />\n    </a>\n  </td>\n</tr>\n\n</table>\n\nBokeh is an interactive visualization library for Python that enables beautiful\nand meaningful visual presentation of data in modern web browsers. With Bokeh,\nyou can quickly and easily create interactive plots, dashboards, and data\napplications.\n\nBokeh provides an elegant and concise way to construct versatile graphics while\ndelivering **high-performance** interactivity for large or streamed datasets.\n\n[Interactive gallery](https://bokeh.pydata.org/en/latest/docs/gallery.html)\n---------------------------------------------------------------------------\n\n<p>\n<table cellspacing=\"20\">\n<tr>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/image.html\">\n  <img alt=\"colormapped image plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/image_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/anscombe.html\">\n  <img alt=\"anscombe plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/anscombe_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/stocks.html\">\n  <img alt=\"stocks plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/stocks_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/lorenz.html\">\n  <img alt=\"lorenz attractor plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/lorenz_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/candlestick.html\">\n  <img alt=\"candlestick plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/candlestick_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/color_scatter.html\">\n  <img alt=\"scatter plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/scatter_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/iris_splom.html\">\n  <img alt=\"SPLOM plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/splom_t.png\" />\n  </a>\n  </td>\n\n</tr>\n<tr>\n\n  <td>\n  <a 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src=\"https://bokeh.pydata.org/en/latest/_images/burtin_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/streamline.html\">\n  <img alt=\"streamline plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/streamline_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/image_rgba.html\">\n  <img alt=\"RGBA image plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/image_rgba_t.png\" />\n  </a>\n  </td>\n\n</tr>\n<tr>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/brewer.html\">\n  <img alt=\"stacked bars plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/stacked_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://bokeh.pydata.org/en/latest/docs/gallery/quiver.html\">\n  <img alt=\"quiver plot thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/quiver_t.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a 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thumbnail\" src=\"https://bokeh.pydata.org/en/latest/_images/les_mis_t.png\" />\n  </a>\n  </td>\n\n</tr>\n</table>\n</p>\n\nInstallation\n------------\nThe easiest way to install Bokeh is using the [Anaconda Python distribution](https://www.anaconda.com/what-is-anaconda/) 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:\n\n```\nconda install bokeh\n```\n\nTo install using pip, enter the following command at a Bash or Windows command prompt:\n```\npip install bokeh\n```\nFor more information, refer to the [installation documentation](https://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html#quick-installation).\n\nOnce Bokeh is installed, check out the [Getting Started](https://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html#getting-started) section of the [Quickstart guide](https://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html).\n\nDocumentation\n-------------\nVisit the [Bokeh Front Page](https://bokeh.org) for information and [full documentation](https://bokeh.pydata.org), or [launch the Bokeh tutorial](https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/master?filepath=tutorial%2F00%20-%20Introduction%20and%20Setup.ipynb) to learn about Bokeh in live Jupyter Notebooks.\n\nContribute to Bokeh\n-------------------\nIf you would like to contribute to Bokeh, please review the [Developer Guide](https://bokeh.pydata.org/en/latest/docs/dev_guide.html) and say hello on the [`bokeh-dev` chat channel](https://gitter.im/bokeh/bokeh-dev).\n\nFollow us\n---------\nFollow us on Twitter [@bokehplots](https://twitter.com/BokehPlots)\n\n<p align=\"center\">\n  <a href=\"https://www.numfocus.org/\">\n  <img src=\"https://github.com/bokeh/bokeh/blob/master/sphinx/source/_images/NumFocus_2C_CMYK.svg\"\n       alt=\"NumFocus Logo\" width=\"400\"/>\n  </a>\n</p>",
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