Skip to content
Dive logo

Explore Docker image layers and optimize their size for efficiency.

Visit Website
Tracked since2026
0 reviews tracked

The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Provides a clear visual breakdown of Docker image layers

Biggest con

The image efficiency metric is experimental (beta quality)

TL;DR - Dive

  • Analyzes Docker/OCI image layers and their contents.
  • Identifies wasted space and provides an image efficiency score.
  • Helps reduce image size and optimize Docker builds.
Pricing: Free forever
Best for: Individuals & startups

What is Dive?

Editorial review
Dive is a command-line tool designed to help developers analyze and optimize their Docker/OCI images. It provides a detailed breakdown of an image's layers, allowing users to visualize the contents of each layer and identify changes (additions, modifications, removals) between them. This granular view helps in understanding how an image is constructed and where inefficiencies, such as duplicated files or unnecessary content, might exist. The tool is primarily for developers, DevOps engineers, and anyone working with Docker or OCI images who wants to reduce image size, improve build times, and enhance the overall efficiency of their containerized applications. By highlighting wasted space and providing an "image efficiency" score, Dive empowers users to make informed decisions about their Dockerfile instructions and build processes, leading to smaller, faster, and more secure images. Dive supports various image sources and container engines, including Docker and Podman, and can be integrated into CI pipelines to automate image analysis and enforce size constraints. Its interactive TUI (Text User Interface) allows for easy navigation and exploration of the file system within each layer.

Available on: macOS, Linux

Pros & Cons

Pros

  • Provides a clear visual breakdown of Docker image layers
  • Helps identify and eliminate wasted space in Docker images
  • Can be integrated into CI/CD pipelines for automated checks
  • Supports various installation methods across different operating systems
  • Offers quick build and analysis cycles

Cons

  • The image efficiency metric is experimental (beta quality)
  • Snap installation method for Docker might conflict with apt-get Docker installations
  • Podman engine support is Linux only

Preview

Key Features

Show Docker image contents broken down by layerIndicate what's changed (added, modified, removed) in each layerEstimate "image efficiency" with a percentage score and total wasted file spaceQuick build/analysis cycles for immediate feedbackCI integration for automated pass/fail results based on image efficiencySupports multiple image sources and container engines (Docker, Podman, Docker Tar Archive)Interactive file tree exploration with arrow keys

Pricing Plans

Pricing checked Jul 15, 2026

Open Source

Free

  • Full source code access
  • MIT License license
  • Community support
  • Self-hosted

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99Free with your review

Review Dive, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

Best Dive Alternatives

Top alternatives based on features, pricing, and user needs.

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Explore More

Dive FAQ

How does Dive help optimize Docker image sizes?

Dive provides a detailed, visual breakdown of an image's layers, allowing users to identify and eliminate wasted space. It highlights inefficiencies like duplicated files or unnecessary content, helping users make informed decisions about their Dockerfile instructions to achieve smaller images.

Which teams benefit most from using Dive?

Dive is most beneficial for developers, DevOps engineers, and anyone working with Docker or OCI images. These teams can leverage Dive to reduce image size, improve build times, and enhance the overall efficiency of their containerized applications.

How is Dive priced?

Dive is free to use, with no paid plan required. This makes it accessible for all users looking to analyze and optimize their Docker and OCI images without a subscription cost.

Can Dive be integrated into continuous integration pipelines?

Yes, Dive can be integrated into CI pipelines to automate image analysis. This allows teams to enforce size constraints and ensure image efficiency as part of their regular build processes.

How does Dive compare to Podman for image analysis?

Dive is a tool for analyzing and optimizing Docker/OCI images, while Podman is a container engine that can also manage images. Dive specifically focuses on layer breakdown and efficiency scoring, whereas Podman provides broader container management capabilities, though its engine support in Dive is currently Linux only.

What kind of limitations should users be aware of when using Dive?

Users should note that Dive's image efficiency metric is currently experimental, meaning it is in beta quality. Additionally, the snap installation method for Docker might conflict with existing apt-get Docker installations, and Podman engine support is exclusively for Linux.

Source: github.com

Guides & Articles