--- title: "compose vs awesome-pipeline" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/docker-compose-vs-pditommaso-awesome-pipeline" tools: ["docker-compose", "pditommaso-awesome-pipeline"] --- # compose vs awesome-pipeline *GraphCanon updated Sep 20, 2026* ## Verdict Pick compose if a tool for defining and orchestrating multi-container applications with Docker using Compose files; pick awesome-pipeline if a curated list of pipeline toolkits for diverse applications. [compose](https://docs.docker.com/compose/) reports 38k GitHub stars, 5.8k forks, and 107 open issues, last pushed Sep 17, 2026. [awesome-pipeline](https://github.com/pditommaso/awesome-pipeline) has 6.6k stars, 650 forks, and 33 open issues, last pushed Sep 8, 2026. Figures are from public GitHub metadata via [compose's repository](https://github.com/docker/compose) and [awesome-pipeline's repository](https://github.com/pditommaso/awesome-pipeline). | | [compose](/tools/docker-compose.md) | [awesome-pipeline](/tools/pditommaso-awesome-pipeline.md) | | --- | --- | --- | | Tagline | Define and run multi-container applications with Docker | Curated list of pipeline toolkits | | Stars | 38,178 | 6,624 | | Forks | 5,818 | 650 | | Open issues | 107 | 33 | | Language | Go | - | | Adopt for | A tool for defining and orchestrating multi-container applications with Docker using Compose files. | A curated list of pipeline toolkits for diverse applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [compose](/tools/docker-compose.md) | [awesome-pipeline](/tools/pditommaso-awesome-pipeline.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 107 | 33 | | Stars delta | +139 (30d) | +8 (30d) | | Open issues delta | +2 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/docker-compose/trust.md) | [trust report](/tools/pditommaso-awesome-pipeline/trust.md) | ## Decision facts: compose - **Adopt for:** A tool for defining and orchestrating multi-container applications with Docker using Compose files. ## Decision facts: awesome-pipeline - **Adopt for:** A curated list of pipeline toolkits for diverse applications. ## Choose when ### Choose compose if… - Tags unique to compose: containerization, docker-compose, orchestration. - compose ships Docker support for self-hosted deployment. - When your project involves running multiple connected services or microservices, as Docker Compose streamlines the orchestration of these with Docker. ### Choose awesome-pipeline if… - Tags unique to awesome-pipeline: automation, pipeline, workflow. - You need a comprehensive overview of various workflow and pipeline management tools - Leaner open-issue backlog (33). ## When NOT to use compose - When your application orchestration needs extend beyond basic services definition and coordination provided by Compose files. - If you are specifically targeting a legacy setup or need tools that were historically paired with Docker Swarm, as some recent enhancements may lack full compatibility. - For users who require advanced orchestration features like horizontal scaling, service discovery, or load balancing outside of the capabilities offered by simple docker compose setups. ## When NOT to use awesome-pipeline - Seeking specific functionality rather than an aggregated list of options - Looking for direct implementation guidance without further research into individual tools ## Common questions ### What is the difference between compose and awesome-pipeline? compose: Define and run multi-container applications with Docker. awesome-pipeline: Curated list of pipeline toolkits. See the comparison table for live GitHub stats and shared categories. ### When should I choose compose over awesome-pipeline? Choose compose over awesome-pipeline when Tags unique to compose: containerization, docker-compose, orchestration; compose ships Docker support for self-hosted deployment; When your project involves running multiple connected services or microservices, as Docker Compose streamlines the orchestration of these with Docker. ### When should I choose awesome-pipeline over compose? Choose awesome-pipeline over compose when Tags unique to awesome-pipeline: automation, pipeline, workflow; You need a comprehensive overview of various workflow and pipeline management tools; Leaner open-issue backlog (33). ### When should I avoid compose? When your application orchestration needs extend beyond basic services definition and coordination provided by Compose files. If you are specifically targeting a legacy setup or need tools that were historically paired with Docker Swarm, as some recent enhancements may lack full compatibility. For users who require advanced orchestration features like horizontal scaling, service discovery, or load balancing outside of the capabilities offered by simple docker compose setups. ### When should I avoid awesome-pipeline? Seeking specific functionality rather than an aggregated list of options Looking for direct implementation guidance without further research into individual tools ### Is compose or awesome-pipeline more popular on GitHub? compose has more GitHub stars (38,178 vs 6,624). Stars measure visibility, not whether either tool fits your constraints. ### Are compose and awesome-pipeline open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to compose or awesome-pipeline? GraphCanon lists graph-backed alternatives at [compose alternatives](/tools/docker-compose/alternatives) and [awesome-pipeline alternatives](/tools/pditommaso-awesome-pipeline/alternatives) ([compose markdown twin](/tools/docker-compose/alternatives.md), [awesome-pipeline markdown twin](/tools/pditommaso-awesome-pipeline/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/docker-compose-vs-pditommaso-awesome-pipeline.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, compose or awesome-pipeline? compose: Very active. awesome-pipeline: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for compose and awesome-pipeline? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [compose trust report](/tools/docker-compose/trust); [awesome-pipeline trust report](/tools/pditommaso-awesome-pipeline/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=docker-compose`](/api/graphcanon/graph?tool=docker-compose) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_