Demo dashboard dash vs streamlit

Dashboards/demo_dash.py

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+from dash import Dash, html, dcc, callback, Output, Input
+import plotly.express as px
+import pandas as pd
+
+# Source : https://discuss.streamlit.io/t/develop-a-dashboard-app-with-streamlit-using-plotly/37148/4 
+# Dash version
+# run with : python Dashboard/demo_dash.py
+
+# Load data function
+def load_data():
+    return pd.read_csv("https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv")
+
+# Initialize Dash app
+app = Dash(__name__)
+
+# Load data
+df = load_data()
+
+# Define app layout with a hidden input
+app.layout = html.Div([
+    html.H1("Air Travel Time Series Plot", style={'textAlign': 'center'}),
+    html.Div("This chart shows the number of air passengers traveled in each month from 1949 to 1960", style={'textAlign': 'center'}),
+    dcc.Graph(id='air-travel-graph'),
+    html.Div(id='dummy-div', style={'display': 'none'})  # Hidden div acting as a placeholder
+])
+
+
+# Define callback to update graph
+@app.callback(
+    Output('air-travel-graph', 'figure'),
+    Input('dummy-div', 'children')  # Use the hidden div as input
+)
+def update_graph(value):
+    fig = px.line(df, x="Month", y=df.columns[1:], title="Air Passenger Travel")
+    return fig
+
+
+# Run the app
+if __name__ == '__main__':
+    app.run_server(debug=True)

Dashboards/demo_streamlit.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+# Source : https://discuss.streamlit.io/t/develop-a-dashboard-app-with-streamlit-using-plotly/37148/4
+# run with : streamlit run Dashboard/demo_streamlit.py
+
+def load_data():
+    return pd.read_csv("https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv")
+
+# Load data
+df = load_data()
+
+# Display some information
+st.title("Air Travel Time Series Plot")
+st.write("This chart shows the number of air passenger traveled in each month from 1949 to 1960")
+
+# Plotly figure
+fig = px.line(df, x="Month", y=df.columns[1:], title="Air Passenger Travel")
+st.plotly_chart(fig)