DockerView

A simple terminal-based Docker performance monitor that displays real-time container statistics in a beautiful table format.

Features

• Real-time monitoring of Docker containers
• Displays container ID, name, status, CPU usage, and memory usage
• Auto-refreshing display (1 second interval)
• Clean terminal UI using Rich library
• Simple keyboard control (Ctrl+C to exit)

Installation

pip install dockerview

Usage

dockerview

Example output:

DockerView Monitor (Press Ctrl+C to exit)
┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ ID         ┃ Name             ┃ Status   ┃ CPU %  ┃ Memory Usage ┃
┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ a1b2c3d4e5 │ web-server       │ running  │ 2.5%   │ 120MB/2GB    │
│ f6g7h8i9j0 │ database         │ running  │ 15.2%  │ 890MB/4GB    │
│ k1l2m3n4o5 │ redis-cache      │ running  │ 0.8%   │ 45MB/1GB     │
└────────────┴──────────────────┴──────────┴────────┴──────────────┘

Project Structure

dockerview/
├── cli.py          # Command line interface
├── monitor.py      # Docker monitoring logic
├── __init__.py     # Package initialization
├── CHANGELOG.md    # Project change history
└── ...

Changelog

For details of each release, see the CHANGELOG.

License

This project is licensed under the MIT License - see the LICENSE file for details.