Real-Time Data Dashboards in Python: Streamlit vs Bokeh Tutorial | Arduino IoT Integration
Автор: PROJECT WORK
Загружено: 2025-04-06
Просмотров: 24
🔍 In this tutorial, you’ll learn:
How to build interactive dashboards using Streamlit and Bokeh as alternatives to Plotly Dash.
Step-by-step integration of Arduino Nano 33 IoT gyroscope data for real-time visualization.
Techniques for dynamic updates, user controls (dropdowns, navigation buttons), and live data integration.
🛠️ Featured Tools:
Streamlit (for rapid prototyping).
Bokeh (for advanced interactivity).
Arduino Nano 33 IoT (hardware data collection).
📊 Key Highlights:
Live CSV data updates every 10 seconds.
Side-by-side comparison of Plotly, Streamlit, and Bokeh.
Full code walkthrough and GitHub repository link included!
⏱️ Timestamps:
0:00 - Intro & Project Overview
1:15 - Arduino Hardware Setup
3:30 - Collecting Gyroscope Data
5:45 - Building the Streamlit Dashboard
10:20 - Creating the Bokeh Dashboard
15:00 - Real-Time Data Integration Demo
18:30 - Streamlit vs Bokeh vs Plotly Comparison
📂 Resources:
GitHub Code
Arduino Sketch & Dataset
💬 Got questions? Drop them in the comments!
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