docker/docker-install

Docker installation script

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 21st, 2026
Created on June 16th, 2017
Open Issues & Pull Requests: 77 (+0)
GitHub issues: Enabled
Number of forks: 864
Total Stargazers: 3,181 (+0)
Total Subscribers: 59 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 19.7 days
Mean response time: 174.3 days
90th percentile: 482.4 days
Tracked items: 32

How this project is maintained

96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 75% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 24
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 659 days
Stale 30+ days: 24
Stale 90+ days: 20

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (1)
  • help wanted (1)
  • invalid (1)
  • question (1)

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Detailed Description

docker-install is a shell script that automates Docker installation across multiple operating systems and Linux distributions.

The script solves the problem of simplifying Docker setup by providing a single installation command that handles platform detection and dependency management. Rather than requiring users to follow distribution-specific installation steps, the script detects the host environment and executes the appropriate installation procedure automatically. This approach reduces friction for new users and ensures consistent installation behavior across different systems.

The tool suits developers and operators who want a quick, straightforward way to get Docker running without manually navigating distribution-specific package managers or compilation steps. It is particularly valuable in automation contexts where scripted deployment is preferred over manual setup. The project is designed as a convenience wrapper around official Docker installation methods, making it most appropriate for development environments and fresh system setups rather than as a replacement for production-grade configuration management.

The project receives regular maintenance with fixes and updates applied to address compatibility issues as operating systems and Docker releases evolve. Development activity shows consistent attention to reported problems and incremental improvements to installation reliability across supported platforms.