
DockerDiet — Docker Image Optimizer
Paste your Dockerfile. Get an optimized one back in seconds.
What it does
Most Docker images are 3–10x larger than they need to be. DockerDiet is a free static analysis tool that takes your Dockerfile as input and gives you back: → An estimated image size breakdown by layer → A list of anti-patterns detected (with severity: critical / high / medium / low) → An automatically rewritten, optimized Dockerfile → Infrastructure cost implications (storage cost, pull time, CI/CD speed) → Side-by-side diff of original vs optimized
Does the same job
all alternatives →- DDdockerc – Docker image to static executable "compiler"2024 · github.com · ▲374
- DPDocker-phobia: Analyze Docker image size with a treemap2024 · github.com · ▲91
- DADockershrink – AI Assistant to reduce the size of Docker images2025 · github.com · ▲11
For the past few months, I've been hacking around a project I call Dockershrink. It automates a simple task: Take a Dockerfile and optimize its code with the goal of reducing the size of the final Docker image. People don't realize that we can apply some very basic techniques to reduce, for eg, a 2GB image down to just ~100MB: - Multistage builds with light-weight base image for final stage - Remove unused dependencies - Optimizations specific to the tech stack And I feel like I've already done this optimization for my personal projects and backend apps at my job(s) a couple of times. The…
- DDDockerfiler: declarative management of images built from Dockerfiles2020 · github.com · ▲35

- BDBocker – Docker implemented in 100 lines of bash2015 · github.com · ▲662
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