Metadata-Version: 2.1
Name: lux-widget
Version: 0.1.4
Summary: Jupyter Widget for Intelligent Data Discovery
Home-page: https://github.com/lux-org/lux-widget
Author: Doris Jung-Lin Lee
Author-email: dorisjunglinlee@gmail.com
License: Apache-2.0 License
Description: <p align="center"><a href="#"><img width=77% alt="" src="https://github.com/lux-org/lux-resources/blob/master/logo/logo.png?raw=true"></a></p>
        
        <p align="center">
            <a href="https://badge.fury.io/js/luxwidget"><img src="https://badge.fury.io/js/luxwidget.svg" alt="npm version" height="18" align="center"></a>
            <a href="https://badge.fury.io/py/lux-widget"><img src="https://badge.fury.io/py/lux-widget.svg" alt="PyPI version" height="18" align="center"></a>
            <a href='https://lux-api.readthedocs.io/en/latest/?badge=latest'>
                <img src='https://readthedocs.org/projects/lux-api/badge/?version=latest' alt='Documentation Status'  align="center"/>
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            <a href='https://mybinder.org/v2/gh/lux-org/lux-binder/master'>
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        </p>
        
        Lux is a library designed to make data science easier and facilitate fast experimentation with data.
        You can learn more about Lux by referring to the core [Lux API](https://github.com/lux-org/lux/) in Python. 
        This is the Jupyter widget frontend for Lux, written in Typescript and React. 
        
        Here is an example of the Lux widget in action. 
        
        <img src="https://github.com/lux-org/lux-resources/blob/master/readme_img/basicDemo.gif?raw=true"
             alt="Basic recommendations in Lux"
             style="width:900px" />
        
        You can find the full demo example in this live [notebook](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/examples/demo/college_demo.ipynb). 
        
        
        # Installation
        
        Lux can be installed through PyPI: 
        
        ```bash
            pip install lux-api
        ```
        
        ## Setup in Jupyter Notebook, VSCode
        
        To use Lux in [Jupyter notebook](https://github.com/jupyter/notebook) or [VSCode](https://code.visualstudio.com/docs/python/jupyter-support), activate the notebook extension:
        
        ```bash
            jupyter nbextension install --py luxwidget
            jupyter nbextension enable --py luxwidget
        ```
        
        If the installation happens correctly, you should see two `- Validating: OK` after executing the two lines above.
        
        ## Setup in Jupyter Lab
        
        To use Lux in [Jupyter Lab](https://github.com/jupyterlab/jupyterlab), activate the lab extension:
        
        ```bash
            jupyter labextension install @jupyter-widgets/jupyterlab-manager
            jupyter labextension install luxwidget
        ```
        
        If you encounter issues with the installation, please refer to [this page](https://lux-api.readthedocs.io/en/latest/source/guide/FAQ.html#troubleshooting-tips) to troubleshoot the installation. Follow [these instructions](https://lux-api.readthedocs.io/en/latest/source/getting_started/installation.html#manual-installation-dev-setup) to set up Lux for development purposes.
        
        # Documentation and Support
        For detailed reference, please refer to the [documentation page](https://lux-api.readthedocs.io/en/latest/). Please report any bugs, issues, or requests through [Github Issues](https://github.com/lux-org/lux/issues) or post on the [#help](https://lux-project.slack.com/archives/C0174H16CK0) channel in the <a href="http://lux-project.slack.com/">Lux Slack org</a>.
        
        Lux has only been tested with Jupyter notebook and Chrome - there have been issues with other browsers and we advise using Chrome.
        
Keywords: Jupyter,Widgets,Visualization,Analytics,Data Science,Data Analysis,IPython
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Other Audience
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Framework :: Jupyter
Description-Content-Type: text/markdown
