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A terminal tool to audit, optimize, and visualize Docker-Compose stacks in real-time

Project description

Composure

A terminal tool to audit, optimize, and visualize Docker-Compose stacks in real-time.

Python 3.9+ License: MIT PyPI Docker

Quick Install

pip install composure

Or choose your preferred method below.

What is Composure?

Composure is a TUI (Terminal User Interface) dashboard that helps you:

  • Monitor all your Docker containers in real-time
  • Detect waste by comparing actual resource usage vs allocated limits
  • Visualize networks to see how containers connect to each other
  • Control containers directly from the terminal (start, stop, restart, view logs)

Features

  • Resource Monitoring: See CPU and memory usage for all containers
  • Waste Detection: Identify over-provisioned containers with waste scores
  • Limit Awareness: Quickly spot containers without resource limits
  • Network Visualization: Tree view showing container network topology
  • Container Controls: Start, stop, restart containers with keyboard shortcuts
  • Live Logs: View recent logs for any container
  • Parallel Loading: Fast startup even with many containers

Installation

pip (recommended)

pip install composure

pipx (isolated environment)

pipx install composure

uv

uv tool install composure

Docker

docker run -it -v /var/run/docker.sock:/var/run/docker.sock jamesdimonaco/composure

Debian/Ubuntu

# One-line install script
curl -fsSL https://jamesdimonaco.github.io/composure/install.sh | sudo bash
Or install manually
# Add the GPG key
curl -fsSL https://jamesdimonaco.github.io/composure/gpg.key | sudo gpg --dearmor -o /usr/share/keyrings/composure.gpg

# Add the repository
echo "deb [signed-by=/usr/share/keyrings/composure.gpg] https://jamesdimonaco.github.io/composure stable main" | sudo tee /etc/apt/sources.list.d/composure.list

# Install
sudo apt update
sudo apt install composure

From source

git clone https://github.com/JamesDimonaco/composure.git
cd composure
pip install -e .

Usage

composure

Keyboard Shortcuts

Key Action
q Quit
r Refresh
n Toggle network view
s Stop selected container
a Start selected container
x Restart selected container
l Show logs for selected container
? Show help
↑/↓ Navigate containers

Understanding the Dashboard

Main View

Container     Status   CPU %  CPU Limit  RAM Used  RAM Limit  Efficiency  Waste
nginx         running  0.5%   2 cores    45 MB     512 MB     LOW         90
api           running  2.1%   No limit   128 MB    256 MB     MEDIUM      40
postgres      running  1.2%   1 core     256 MB    512 MB     GOOD        20

Columns Explained

Column Description
Status running, exited, paused, etc.
CPU % Current CPU usage
CPU Limit Configured limit (or "No limit")
RAM Used Current memory usage
RAM Limit Configured limit (or "No limit")
Efficiency LOW/MEDIUM/GOOD/HIGH utilization
Waste 0-100 score (higher = more over-provisioned)

Waste Score

The waste score helps identify containers that have been allocated far more resources than they're using:

Score Color Meaning
0-30 Green Good utilization
30-60 Yellow Could be optimized
60-100 Red Significantly over-provisioned

Network View

Press n to see a tree view of your Docker networks:

Docker Networks
├── Compose Networks
│   └── myapp_default (3 containers)
│       ├── nginx
│       ├── api
│       └── postgres
└── System Networks
    └── bridge (empty)

Requirements

  • Python 3.9+
  • Docker Engine running locally
  • Access to Docker socket

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE for details.

Links

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