--- title: "ai-getting-started vs compose" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-docker-compose" tools: ["a16z-infra-ai-getting-started", "docker-compose"] --- # ai-getting-started vs compose *GraphCanon updated Sep 20, 2026* ## Verdict Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick compose if a tool for defining and orchestrating multi-container applications with Docker using Compose files. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 659 forks, and 16 open issues, last pushed Aug 21, 2024. [compose](https://docs.docker.com/compose/) has 38k stars, 5.8k forks, and 107 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [compose's repository](https://github.com/docker/compose). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [compose](/tools/docker-compose.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Define and run multi-container applications with Docker | | Stars | 4,142 | 38,178 | | Forks | 659 | 5,818 | | Open issues | 16 | 107 | | Language | TypeScript | Go | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | A tool for defining and orchestrating multi-container applications with Docker using Compose files. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Model Training, Vector Databases | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [compose](/tools/docker-compose.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 759d | 0d | | Open issues (now) | 16 | 107 | | Stars delta | +1 (30d) | +139 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/docker-compose/trust.md) | ## Decision facts: ai-getting-started - **Adopt for:** ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. ## Decision facts: compose - **Adopt for:** A tool for defining and orchestrating multi-container applications with Docker using Compose files. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; compose is Go. - License: ai-getting-started is MIT, compose is Apache-2.0. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Model Training, Vector Databases. - * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### Choose compose if… - compose is primarily Go; ai-getting-started is TypeScript. - License: compose is Apache-2.0, ai-getting-started is MIT. - Tags unique to compose: containerization, docker-compose, orchestration. - When your project involves running multiple connected services or microservices, as Docker Compose streamlines the orchestration of these with Docker. ## When NOT to use ai-getting-started - * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. - * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ## 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. ## Common questions ### What is the difference between ai-getting-started and compose? ai-getting-started: A Javascript AI getting started stack for weekend projects. compose: Define and run multi-container applications with Docker. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over compose? Choose ai-getting-started over compose when ai-getting-started is primarily TypeScript; compose is Go; License: ai-getting-started is MIT, compose is Apache-2.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### When should I choose compose over ai-getting-started? Choose compose over ai-getting-started when compose is primarily Go; ai-getting-started is TypeScript; License: compose is Apache-2.0, ai-getting-started is MIT; Tags unique to compose: containerization, docker-compose, orchestration; When your project involves running multiple connected services or microservices, as Docker Compose streamlines the orchestration of these with Docker. ### When should I avoid ai-getting-started? * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ### 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. ### Is ai-getting-started or compose more popular on GitHub? compose has more GitHub stars (38,178 vs 4,142). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and compose open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, compose: Apache-2.0). ### Where can I find alternatives to ai-getting-started or compose? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [compose alternatives](/tools/docker-compose/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [compose markdown twin](/tools/docker-compose/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/a16z-infra-ai-getting-started-vs-docker-compose.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-getting-started or compose? ai-getting-started: Dormant. compose: 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 ai-getting-started and compose? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [compose trust report](/tools/docker-compose/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_