Raspberry Pi Stats Dashboard

A professional monitoring dashboard for Raspberry Pi 4 that displays real-time system statistics including CPU temperature, CPU utilization, disk space for all mounted drives, and power usage approximation.

Features

• Real-time updates every 2 seconds
• Dark mode UI with white, pink, green, and light blue accents
• Circular progress indicators for CPU stats and power
• Bar charts for disk usage across all mounted partitions
• Web-based interface accessible from any device
• Optimized for display on Raspberry Pi connected screens

Installation

1. Clone the repository:

   git clone https://github.com/GH-Jonny-PRG/Pi-Stats-screen.git
   cd Pi-Stats-screen
   

2. Install dependencies:

   pip3 install -r requirements.txt
   

   (On Raspberry Pi, use pip3 instead of pip. If pip3 is not installed, run sudo apt update && sudo apt install python3-pip. You may need sudo for system-wide installation.)

3. Run the application:

   python3 app.py
   

4. Open your web browser and navigate to http://localhost:5000 (or http://<pi-ip>:5000 from another device).

Usage

• For local display on Raspberry Pi: Open the URL in a fullscreen browser window.
• Access remotely: Use the Pi's IP address and port 5000.

Auto Start on Boot

To automatically start the dashboard when the Raspberry Pi boots:

1. Create a systemd service file:

   sudo nano /etc/systemd/system/pi-stats.service
   

   Add the following content (replace /path/to/Pi-Stats-screen with the actual path):

   [Unit]
   Description=Pi Stats Dashboard
   After=network.target
   
   [Service]
   ExecStart=/usr/bin/python3 /path/to/Pi-Stats-screen/app.py
   WorkingDirectory=/path/to/Pi-Stats-screen
   User=pi
   Restart=always
   
   [Install]
   WantedBy=multi-user.target
   

2. Reload systemd and enable the service:

   sudo systemctl daemon-reload
   sudo systemctl enable pi-stats
   sudo systemctl start pi-stats
   

3. Check status:

   sudo systemctl status pi-stats
   

Notes

• CPU temperature is read from /sys/class/thermal/thermal_zone0/temp.
• Power usage is approximated using CPU utilization as a proxy, since Raspberry Pi lacks a direct power sensor.
• Disk space is shown for all mounted partitions.

Requirements

• Python 3.7+
• Flask
• Flask-SocketIO
• psutil

License

MIT License