docker/awesome-compose

Awesome Docker Compose samples

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docker/awesome-compose has 46k+ stars and 8k+ forks on GitHub, is written in HTML, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 53 minutes ago
Added to GitGenius on August 31st, 2026
Created on February 13th, 2020
Open Issues & Pull Requests: 434 (+0)
GitHub issues: Enabled
Number of forks: 8,333
Total Stargazers: 46,547 (+0)
Total Subscribers: 497 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 39.9 days
Mean response time: 174.4 days
90th percentile: 585.5 days
Tracked items: 26

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Open issues: 42
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 467 days
Stale 30+ days: 40
Stale 90+ days: 37

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

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Detailed Description

Awesome Compose is a curated collection of Docker Compose samples that demonstrates how to integrate different services using Compose files and manage their deployment.

The collection addresses the need for practical starting points when learning Docker Compose or experimenting with multi-service application stacks. It provides ready-to-use sample configurations that show how various services can be orchestrated together, eliminating the need to build Compose files from scratch for common scenarios. The samples cover both multi-service applications that demonstrate integration patterns and single-service setups for individual tools.

Developers should use this collection for local development environments, project setup, and experimentation with different software stacks. The README explicitly states these samples are not production-ready and must not be deployed in production environments. The collection is organized into categories including samples with multiple integrated services, single service samples, and basic setups for different platforms. Some samples are marked as compatible with Docker and WebAssembly, indicating support for that deployment model.

The project maintains a structured collection of examples organized by use case and integration complexity. The repository includes visual indicators to highlight samples with specific capabilities or compatibility markers. The curation approach focuses on providing practical, immediately usable configurations rather than comprehensive documentation of every possible Docker Compose feature.