dockershrink  by duaraghav8

CLI tool for optimizing Docker image size

created 10 months ago
410 stars

Top 72.3% on sourcepulse

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Project Summary

DockerShrink is an AI-powered command-line tool designed to reduce the size of Docker images for Node.js applications. It targets developers and organizations struggling with bloated container images, aiming to cut storage and transfer costs, and improve build times by automatically applying advanced optimization techniques.

How It Works

DockerShrink leverages a combination of algorithmic analysis and generative AI (via OpenAI) to optimize Docker configurations. For new projects, it generates optimized Dockerfiles and .dockerignore files. For existing projects, it analyzes current configurations and applies best practices like multi-stage builds and switching to lighter base images (e.g., Alpine Linux). The AI component is crucial for generating new configurations and is recommended for optimizing existing ones.

Quick Start & Requirements

  • Installation: brew install duaraghav8/tap/dockershrink (macOS) or download from Releases Page.
  • Prerequisites: OpenAI API Key (required for generate, recommended for optimize), Docker daemon running.
  • Usage: Navigate to Node.js project root and run dockershrink optimize or dockershrink generate. Output is saved to dockershrink.out by default.
  • Docs: Usage, Help

Highlighted Details

  • AI-powered optimization for Docker image size reduction.
  • Supports generating new Dockerfiles and optimizing existing ones.
  • Currently supports Node.js applications only.
  • OpenAI API key is required for AI features and may incur costs.

Maintenance & Community

  • The project is marked as BETA software.
  • Feedback is encouraged via Issues.
  • Slack channel available for discussion.

Licensing & Compatibility

  • The repository does not explicitly state a license in the README.

Limitations & Caveats

  • The tool is in BETA and currently only supports Node.js applications.
  • AI features require an OpenAI API key, which may incur costs for the user.
  • On macOS, compiled binaries are not notarized, necessitating Homebrew installation.
Health Check
Last commit

6 months ago

Responsiveness

1 day

Pull Requests (30d)
0
Issues (30d)
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Star History
10 stars in the last 90 days

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