Creating Interactive Dashboards with Streamlit or Dash
Interactive dashboards allow users to explore data visually using filters, charts, and controls. Streamlit and Dash are two popular Python frameworks for building data dashboards quickly and effectively.
1. What Is an Interactive Dashboard?
An interactive dashboard:
Displays data using charts, tables, and metrics
Allows user interaction (dropdowns, sliders, buttons)
Updates visuals dynamically based on user input
2. Streamlit Overview
Streamlit is designed for simplicity and speed. It is ideal for beginners and data scientists who want to turn scripts into web apps.
Key Features
Very easy to learn
Minimal code required
Automatic app updates
Built-in widgets
When to Use Streamlit
Rapid prototyping
Data science projects
Machine learning demos
Internal dashboards
Basic Streamlit Example
import streamlit as st
import pandas as pd
st.title("Sales Dashboard")
data = pd.read_csv("sales.csv")
region = st.selectbox("Select Region", data["Region"].unique())
filtered_data = data[data["Region"] == region]
st.line_chart(filtered_data["Sales"])
Common Streamlit Widgets
st.selectbox()
st.slider()
st.button()
st.checkbox()
st.text_input()
3. Dash Overview
Dash (by Plotly) is more powerful and flexible, suitable for production-grade dashboards.
Key Features
Built on Flask, React, and Plotly
Highly customizable layouts
Interactive callbacks
Enterprise-ready
When to Use Dash
Complex dashboards
Production web applications
Multi-page apps
Advanced interactivity
Basic Dash Example
from dash import Dash, html, dcc
import plotly.express as px
import pandas as pd
app = Dash(__name__)
df = pd.read_csv("sales.csv")
fig = px.bar(df, x="Region", y="Sales")
app.layout = html.Div([
html.H1("Sales Dashboard"),
dcc.Graph(figure=fig)
])
if __name__ == "__main__":
app.run_server(debug=True)
4. Streamlit vs Dash Comparison
Feature Streamlit Dash
Ease of Use Very Easy Moderate
Customization Limited High
Performance Good Excellent
Learning Curve Low Higher
Best For Prototypes Production Apps
5. Key Dashboard Components
Charts
Line charts
Bar charts
Pie charts
Scatter plots
Filters & Controls
Dropdown menus
Sliders
Radio buttons
Date pickers
Layout
Columns and rows
Tabs
Sidebars
6. Best Practices
Keep dashboards simple and focused
Use clear labels and titles
Avoid cluttered visuals
Use consistent color schemes
Optimize for performance
7. Deployment Options
Streamlit
Streamlit Cloud
Docker
AWS / Azure
Dash
Dash Enterprise
Heroku
AWS / GCP
Conclusion
Choose Streamlit if you want fast, simple, and beginner-friendly dashboards.
Choose Dash if you need advanced interactivity and production-level control.
Both tools are powerful for turning data into interactive insights.
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