Metadata-Version: 2.1
Name: bokeh
Version: 1.4.0
Summary: Interactive plots and applications in the browser from Python
Home-page: http://github.com/bokeh/bokeh
Author: Bokeh Team
Author-email: info@bokeh.org
License: BSD-3-Clause
Description: <a href="https://bokeh.org">
          <img src="https://static.bokeh.org/logos/logotype.svg" height="60" width="150" alt="Bokeh logotype" />
        </a>
        
        *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.org/donate-to-bokeh).*
        
        <table>
        <tr>
          <td>Latest Release</td>
          <td>
            <img src="https://badge.fury.io/gh/bokeh%2Fbokeh.svg" alt="Latest release version" />
            <a href="https://badge.fury.io/js/bokehjs">
              <img src="https://badge.fury.io/js/bokehjs.svg" alt="npm version">
            </a>
          </td>
        
          <td>Conda</td>
          <td>
            <a href="https://docs.bokeh.org/en/latest/docs/installation.html">
            <img src="https://pyviz.org/_static/cache/bokeh_conda_downloads_badge.svg"
                 alt="Conda downloads per month" />
            </a>
          </td>
        </tr>
        
        <tr>
          <td>License</td>
          <td>
            <a href="https://github.com/bokeh/bokeh/blob/master/LICENSE.txt">
            <img src="https://img.shields.io/github/license/bokeh/bokeh.svg"
                 alt="Bokeh license (BSD 3-clause)" />
            </a>
          </td>
        
          <td>PyPI</td>
          <td>
            <a href="https://docs.bokeh.org/en/latest/docs/installation.html">
            <img src="https://img.shields.io/pypi/dm/bokeh.svg"
                 alt="PyPI downloads per month" />
            </a>
          </td>
        </tr>
        
        <tr>
          <td>Sponsorship</td>
          <td>
            <a href="http://numfocus.org">
            <img src="https://img.shields.io/badge/powered%20by-NumFOCUS-black.svg?style=flat&colorA=5B5B5B&colorB=007D8A"
                 alt="Powered by NumFOCUS" />
            </a>
          </td>
        
          <td>Live Tutorial</td>
          <td>
            <a href="https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/master?filepath=tutorial%2F00%20-%20Introduction%20and%20Setup.ipynb">
            <img src="https://mybinder.org/badge.svg"
                 alt="Live Bokeh tutorial notebooks on MyBinder" />
            </a>
          </td>
        </tr>
        
        <tr>
          <td>Build Status</td>
          <td>
            <a href="https://travis-ci.org/bokeh/bokeh">
            <img src="https://travis-ci.org/bokeh/bokeh.svg?branch=master"
                 alt="Current TravisCI build status" />
            </a>
            <a href="https://ci.appveyor.com/project/bokeh-integrations/bokeh">
            <img src="https://ci.appveyor.com/api/projects/status/u4idf25dhp219mho?svg=true"
                 alt="Current Appveyor build status" />
            </a>
          </td>
        
          <td>Support</td>
          <td>
            <a href="https://discourse.bokeh.org">
            <img src="https://img.shields.io/discourse/https/discourse.bokeh.org/posts.svg"
                 alt="Community Support on discourse.bokeh.org" />
            </a>
          </td>
        </tr>
        
        <tr>
          <td>Static Analysis</td>
          <td>
            <a href="https://bettercodehub.com/edge/badge/bokeh/bokeh?branch=master">
            <img src="https://bettercodehub.com/edge/badge/bokeh/bokeh?branch=master"
                 alt="BetterCodeHub static analysis" >
            </a>
          </td>
        
          <td>Twitter</td>
          <td>
            <a href="https://twitter.com/BokehPlots">
            <img src="https://img.shields.io/twitter/follow/bokehplots.svg?style=social&label=Follow"
                 alt="Follow BokehPlots on Twitter" />
            </a>
          </td>
        </tr>
        
        </table>
        
        [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 over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.
        
        
        <p>
        <table cellspacing="10">
        <tr>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/image.html">
          <img alt="colormapped image plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/image_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/anscombe.html">
          <img alt="anscombe plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/anscombe_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/stocks.html">
          <img alt="stocks plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/stocks_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/lorenz.html">
          <img alt="lorenz attractor plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/lorenz_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/candlestick.html">
          <img alt="candlestick plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/candlestick_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/color_scatter.html">
          <img alt="scatter plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/scatter_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/iris_splom.html">
          <img alt="SPLOM plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/splom_t.png" />
          </a>
          </td>
        
        </tr>
        <tr>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/iris.html">
          <img alt="iris dataset plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/iris_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/histogram.html">
          <img alt="histogram plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/histogram_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/periodic.html">
          <img alt="periodic table plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/periodic_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/texas.html">
          <img alt="choropleth plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/choropleth_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/burtin.html">
          <img alt="burtin antibiotic data plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/burtin_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/streamline.html">
          <img alt="streamline plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/streamline_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/image_rgba.html">
          <img alt="RGBA image plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/image_rgba_t.png" />
          </a>
          </td>
        
        </tr>
        <tr>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/brewer.html">
          <img alt="stacked bars plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/stacked_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/quiver.html">
          <img alt="quiver plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/quiver_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/elements.html">
          <img alt="elements data plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/elements_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/boxplot.html">
          <img alt="boxplot thumbnail" src="https://docs.bokeh.org/en/latest/_images/boxplot_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/categorical.html">
          <img alt="categorical plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/categorical_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/unemployment.html">
          <img alt="unemployment data plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/unemployment_t.png" />
          </a>
          </td>
        
          <td>
          <a href="https://docs.bokeh.org/en/latest/docs/gallery/les_mis.html">
          <img alt="Les Mis co-occurrence plot thumbnail" src="https://docs.bokeh.org/en/latest/_images/les_mis_t.png" />
          </a>
          </td>
        
        </tr>
        </table>
        </p>
        
        Installation
        ------------
        The 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:
        
        ```
        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](https://docs.bokeh.org/en/latest/docs/user_guide/quickstart.html#quick-installation).
        
        
        
        Resources
        ---------
        
        Once Bokeh is installed, check out the [Getting Started](https://docs.bokeh.org/en/latest/docs/user_guide/quickstart.html#getting-started) section of the [Quickstart guide](https://docs.bokeh.org/en/latest/docs/user_guide/quickstart.html).
        
        Visit the [full documentation site](https://docs.bokeh.org) to view the [User's Guide](https://docs.bokeh.org/en/dev/docs/user_guide.html) 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.
        
        Community support is available on the [Project Discourse](https://discourse.bokeh.org).
        
        If you would like to contribute to Bokeh, please review the [Developer Guide](https://docs.bokeh.org/en/latest/docs/dev_guide.html) and say hello on the [bokeh-dev chat channel](https://gitter.im/bokeh/bokeh-dev).
        
        Follow us
        ---------
        Follow us on Twitter [@bokehplots](https://twitter.com/BokehPlots)
        
        Sponsors
        --------
        
        The Bokeh project is grateful for [individual contributions](https://numfocus.org/donate-to-bokeh) as well as sponsorship by the organizations and companies below:
        
        <table>
        <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://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>
        
        
        <table align="center">
        <tr>
          <td>
            <a href="https://www.quansight.com">
            <img src="https://static.bokeh.org/sponsor/quansight.png"
               alt="Quansight Logo" width="100"/>
            </a>
          </td>
          <td>
            <a href="https://www.rexhomes.com/">
            <img src="https://static.bokeh.org/sponsor/rex.jpg"
               alt="Rex Logo" width="100"/>
            </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>
        
Platform: UNKNOWN
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 :: Freely Distributable
Classifier: License :: OSI Approved
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
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: JavaScript
Description-Content-Type: text/markdown
