docker-assemble 0.5.2

CLI tool for extracting Docker image filesystems, inspecting large files, and rebuilding optimized Docker images.

docker-assemble

docker-assemble is a Python CLI tool for extracting Docker image filesystems, inspecting image contents, finding large files, and rebuilding optimized Docker images.

It helps developers, researchers, and DevOps engineers understand what is inside a Docker image by exporting the image filesystem into a local directory. You can use it to analyze container images, inspect files, identify oversized files, and optionally create a new Docker image after removing selected files.

Features

• Extract the filesystem of a Docker image into a local directory
• Pull an image automatically if it is not available locally
• Inspect Docker image contents for research, debugging, and optimization
• Detect files larger than a configurable size limit
• Optionally remove selected large files
• Rebuild a new Docker image from the filtered filesystem
• Simple command-line interface built with Python

Why use docker-assemble?

Docker images can contain unnecessary files, large artifacts, cached dependencies, logs, build leftovers, or other filesystem content that increases image size. docker-assemble makes it easier to inspect the full filesystem of an image and understand what contributes to its size.

This can be useful for:

• Docker image analysis
• Container image optimization
• DevOps research
• Security and filesystem inspection
• Finding large files inside Docker images
• Rebuilding smaller Docker images
• Understanding image contents without manually creating containers

Installation

Install from PyPI:

pip install docker-assemble

Requirements

• Python 3.8+
• Docker installed and running
• Access to the Docker daemon

Basic usage

Extract a Docker image filesystem into a local directory:

docker-assemble -d ubuntu:20.04 output_dir

This extracts the filesystem of ubuntu:20.04 into output_dir.

Analyze large files

You can scan the extracted filesystem for files larger than a given size:

docker-assemble -d ubuntu:20.04 output_dir --maximum-file-size 100M

Supported size suffixes include:

• K for kilobytes
• M for megabytes
• G for gigabytes

Examples:

docker-assemble -d ubuntu:20.04 output_dir --maximum-file-size 10M
docker-assemble -d python:3.11 output_dir --maximum-file-size 500M
docker-assemble -d node:20 output_dir --maximum-file-size 1G

Rebuild a filtered Docker image

After detecting large files, docker-assemble can ask which files should be removed and then build a new Docker image:

docker-assemble -d ubuntu:20.04 output_dir \
  --maximum-file-size 100M \
  --new-image-name ubuntu-optimized

Package

docker-assemble is available on PyPI:

pip install docker-assemble

PyPI: https://pypi.org/project/docker-assemble/

Debug mode

Enable debug logging with:

docker-assemble --debug -d ubuntu:20.04 output_dir

Example workflow

# Extract a Docker image filesystem
docker-assemble -d python:3.11 python-image-filesystem

# Find files larger than 100 MB
docker-assemble -d python:3.11 python-image-filesystem --maximum-file-size 100M

# Rebuild a new image after removing selected large files
docker-assemble -d python:3.11 python-image-filesystem \
  --maximum-file-size 100M \
  --new-image-name python-optimized

Use cases

docker-assemble is useful when you need to:

• inspect the contents of a Docker image
• analyze why a Docker image is large
• identify unnecessary files in a container image
• export an image filesystem for research
• compare Docker image contents
• create a smaller image after removing selected files
• debug container filesystem structure

How it works

docker-assemble uses the Docker SDK for Python to access Docker images. If the requested image is not available locally, it pulls the image. It then creates a temporary container, exports the container filesystem, extracts it into the selected output directory, and optionally rebuilds a new image from a filtered filesystem.

Project status

This project is in active development. Contributions, issues, and suggestions are welcome.

License

This project is licensed under the Apache License 2.0.

Docker is a trademark of Docker, Inc. This project is not affiliated with or endorsed by Docker, Inc.