(cache) Dash by Plotly

Dash is a Python framework for building analytical web applications. No JavaScript required.

Built on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs to your analytical Python code.

Before dash, apps like these would require an entire team of engineers and designers to create.

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import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
from pandas_datareader import data as web
from datetime import datetime as dt

app = dash.Dash()

app.layout = html.Div([
    html.H1('Stock Tickers'),
    dcc.Dropdown(
        id='my-dropdown',
        options=[
            {'label': 'Coke', 'value': 'COKE'},
            {'label': 'Tesla', 'value': 'TSLA'},
            {'label': 'Apple', 'value': 'AAPL'}
        ],
        value='COKE'
    ),
    dcc.Graph(id='my-graph')
])

@app.callback(Output('my-graph', 'figure'), [Input('my-dropdown', 'value')])
def update_graph(selected_dropdown_value):
    df = web.DataReader(
        selected_dropdown_value, data_source='google',
        start=dt(2017, 1, 1), end=dt.now())
    return {
        'data': [{
            'x': df.index,
            'y': df.Close
        }]
    }

if __name__ == '__main__':
    app.run_server()

Build beautiful web-based interfaces in Python

Dash is a Python framework for building analytical web applications. No JavaScript required.