Metadata-Version: 2.1
Name: labext
Version: 3.0.6
Summary: Extra widgets for Jupyter Lab
Home-page: https://github.com/binh-vu/labext
Author: Binh Vu
Author-email: binh@toan2.com
License: MIT
Description: <h1 align="center">labext</h1>
        
        <div align="center">
        
        ![PyPI](https://img.shields.io/pypi/v/labext)
        ![Python](https://img.shields.io/badge/python-v3.6+-blue.svg)
        [![GitHub Issues](https://img.shields.io/github/issues/binh-vu/labext.svg)](https://github.com/binh-vu/labext/issues)
        ![Contributions welcome](https://img.shields.io/badge/contributions-welcome-orange.svg)
        [![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
        
        </div>
        
        ## Overview
        
        This library provides pre-built widgets and integrates some additional JS libraries to provide an even better experience to work with data in Jupyter Lab.
        
        Features:
        1. Better display for pandas data frame.
        2. Pop-over content, allowing to show additional content when hovering over a DOM element. 
        3. Widgets for interactive labeling/annotating data in Jupyter Lab. 
        
        ## Usage
        
        See the [Demo](./demo.ipynb) notebook for how to use the library. Demo:
        
        1. Converting DataFrame to DataTable
        <br/>![DataTable](./assets/datatable.gif)
        
        2. Pop-over (Tippy)
        <br/>![Tippy](./assets/tippy.gif)
        
        3. Slider
        <br/>![Slider](./assets/slider.gif)
        
        4. Annotator 
        <br/>![Annotator](./assets/annotator.gif)
        
        
        ## Installation
        
        ### Docker
        
        I provide a [Dockerfile](./Dockerfile) that create a base environment to run this library. To run the [demo](./demo.ipynb) notebook in docker, you can use [docker-compose](./docker-compose.yml) to start a jupyter lab:
        ```bash
        docker-compose up
        ``` 
        
        ### Manual
        To use this with JupyterLab, you need to have `requirejs` enable in Jupyter by installing either:
        
        1. https://github.com/DraTeots/jupyterlab_requirejs (jupyterlab version <= 1.*)
        2. https://github.com/binh-vu/jupyterlab_requirejs  (jupyterlab version >= 2.*)
        
        Beside `requirejs`, you also need to have `ipywidgets`, `ipyevents`, `ipycallback`
        
        ```bash
        pip install ipywidgets ipyevents ipycallback
        jupyter nbextension enable --py widgetsnbextension
        jupyter nbextension enable --py --sys-prefix ipyevents
        jupyter labextension install @jupyter-widgets/jupyterlab-manager ipyevents ipycallback
        ```
        
        Finally, install this package directly from `pypi`:
        
        ```bash
        pip install -U labext
        ``` 
Platform: UNKNOWN
Requires-Python: >3.6
Description-Content-Type: text/markdown
