layerx

layerx

Interactive Docker image layer inspector with CI-friendly efficiency checks. Single binary, no runtime dependencies beyond Docker.

What is layerx?

A terminal tool for understanding what's inside a Docker image — which layer added each file, where the wasted bytes are, and what your RUN steps actually produced.

Use it to:

• Debug bloated images and find the layer responsible
• Review the filesystem impact of a Dockerfile change before merging
• Gate CI on layer waste or efficiency thresholds

Quick Start

# macOS / Linux
brew install deveshctl/tap/layerx

# Try it
layerx nginx:latest

Other platforms: see Install.

What you can do

Interactive explorer

• Browse layers with vim keys; see Dockerfile command, size, short digest
• Per-layer file tree with diff colouring (green = added, yellow = modified, red = removed)
• Open files inline with line numbers, scrolling, and in-viewer search
• Sort by size, filter by name, hide unchanged files
• Extract a file to disk, copy a path, or copy file contents to your clipboard (works over SSH and tmux)
• Efficiency score and wasted bytes always visible in the status bar

See TUI keybindings for the full shortcut list.

CI mode

• Three configurable rules: lowest efficiency, highest wasted bytes, highest user-wasted percent
• Exits 0 on pass, 1 on rule failure, 2 on internal error
• Configurable via .layerx.yaml or CLI flags

JSON export

Full analysis (layers, files, efficiency) as JSON — pipe through jq for scripted checks.

Prerequisites

Docker must be installed and running.

Install

Homebrew (macOS & Linux)

brew install deveshctl/tap/layerx

Scoop (Windows)

scoop bucket add layerx https://github.com/deveshctl/scoop-bucket
scoop install layerx

Debian / Ubuntu

# amd64
curl -LO https://github.com/deveshctl/layerx/releases/latest/download/layerx_linux_amd64.deb
sudo dpkg -i layerx_linux_amd64.deb

# arm64
curl -LO https://github.com/deveshctl/layerx/releases/latest/download/layerx_linux_arm64.deb
sudo dpkg -i layerx_linux_arm64.deb

RHEL / Fedora

# amd64
curl -LO https://github.com/deveshctl/layerx/releases/latest/download/layerx_linux_amd64.rpm
sudo rpm -i layerx_linux_amd64.rpm

# arm64
curl -LO https://github.com/deveshctl/layerx/releases/latest/download/layerx_linux_arm64.rpm
sudo rpm -i layerx_linux_arm64.rpm

Direct download

Prebuilt binaries for Linux, macOS, and Windows (amd64 + arm64) on the Releases page. For a specific version, replace latest with the tag (e.g. v1.2.2) in the URLs above.

Build from source

Requires Go 1.26+:

go install github.com/deveshctl/layerx@latest

Usage

# Interactive TUI
layerx nginx:latest

# Force a fresh analysis (bypass the cache)
layerx --no-cache nginx:latest

# CI mode — exit 1 if efficiency < 95%
layerx ci --lowest-efficiency 0.95 nginx:latest

# JSON export
layerx --json analysis.json nginx:latest

# Shell completion (bash)
source <(layerx completion bash)

TUI keybindings

CI mode

GitHub Actions

- name: Install layerx
  run: |
    curl -LO https://github.com/deveshctl/layerx/releases/latest/download/layerx_linux_amd64.deb
    sudo dpkg -i layerx_linux_amd64.deb

- name: Check image efficiency
  run: layerx ci --lowest-efficiency 0.95 myapp:${{ github.sha }}

Configuration

Drop a .layerx.yaml in your project root:

rules:
  lowest-efficiency: 0.9
  highest-wasted-bytes: 52428800    # 50MB
  highest-user-wasted-percent: 0.1

CLI flags override config-file values. Setting a threshold to 0 or negative disables that rule.

Caching & environment

Repeat runs against an unchanged image digest reuse the cache and skip the tar export and parse. --no-cache (alias --refresh) bypasses the cache for a single run; the run still refreshes the cache on success.

Troubleshooting

• "Cannot connect to the Docker daemon" — Docker isn't running. Start Docker Desktop, or sudo systemctl start docker on Linux.
• "image not found" — layerx pulls images on demand. Check the reference and that you can docker pull it manually.
• Cache permission errors — point LAYERX_CACHE_DIR somewhere writable, e.g. LAYERX_CACHE_DIR=$HOME/.cache/layerx.

Contributing

Issues and PRs welcome. For larger changes, please open an issue first to discuss the approach. See CHANGELOG for release notes.

Architecture

image/    Domain layer — Docker SDK, tar parsing, file tree, efficiency
tui/      Bubbletea v2 TUI — consumes image/ interfaces only
ci/       CI evaluator — consumes image/ interfaces only
cmd/      Cobra CLI — wires packages together
config/   .layerx.yaml loader

Design rules:

• image/ has zero imports from tui/, ci/, or config/
• TUI and CI consume interfaces, never concrete Docker SDK types
• All Docker client calls negotiate the API version (no breakage on Docker Engine upgrades)
• Both whiteout conventions handled correctly (regular and opaque)

Tech stack

License

MIT