Metadata-Version: 2.1
Name: dash-lumino-components
Version: 0.0.11
Summary: Lumino (JupyterLab) components for Plotly Dash
Home-page: https://github.com/VK/dash-lumino-components
Author: Viktor Krückl <viktor@krueckl.de>
License: MIT
Description: # Dash Lumino Components
        ![Publish release](https://github.com/VK/dash-lumino-components/workflows/Publish%20release/badge.svg)
        [![PyPI](https://img.shields.io/pypi/v/dash-lumino-components?logo=pypi)](https://pypi.org/project/dash-lumino-components)
        [![npm](https://img.shields.io/npm/v/dash_lumino_components.svg?logo=npm)](https://www.npmjs.com/package/dash_lumino_components)
        [![Documentation](https://github.com/VK/dash-lumino-components/workflows/Documentation/badge.svg)](https://vk.github.io/dash-lumino-components)
        
        
        This package integrates [Lumino Widgets](https://github.com/jupyterlab/lumino), the basis of [JupyterLab](https://github.com/jupyterlab/jupyterlab), into [Plotly's Dash](https://github.com/plotly/dash).
        
        Build a multi-window dash app with a view of lines of code.
        Check out the [examples](https://github.com/VK/dash-lumino-components/tree/master/examples):
        ![multiplots example](https://raw.githubusercontent.com/VK/dash-lumino-components/master/examples/multiplots.gif)
        ```python
        dlc.MenuBar(menus, id="main-menu"),
        dlc.BoxPanel([
            dlc.SplitPanel([
                dlc.TabPanel([
                    gapminderPlotsPanel,
                    irisPlotsPanel,
                    tipsPlotsPanel
                ], id='tab-panel-left'),
                dlc.DockPanel([], id="dock-panel")
            ], id="split-panel")
        ], id="box-panel", addToDom=True)
        ```
        
        
        
        ## Local Developement
        1. Install npm packages
            ```
            $ npm install
            ```
            
        2. Create a virtual env and activate.
            ```
            $ virtualenv venv
            $ . venv/bin/activate
            ```
            _Note: venv\Scripts\activate for windows_
        
        3. Install python packages required to build components.
            ```
            $ pip install -r requirements.txt
            $ pip install -r tests/requirements.txt
            ```
        
        4. Build your code
            ```
            $ npm run build
            ```    
Platform: UNKNOWN
Classifier: Framework :: Dash
Description-Content-Type: text/markdown
