--- title: "ai-getting-started vs dyad" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-dyad-sh-dyad" tools: ["a16z-infra-ai-getting-started", "dyad-sh-dyad"] --- # ai-getting-started vs dyad *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 dyad if dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 659 forks, and 16 open issues, last pushed Aug 21, 2024. [dyad](https://dyad.sh) has 22k stars, 2.6k forks, and 340 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [dyad's repository](https://github.com/dyad-sh/dyad). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [dyad](/tools/dyad-sh-dyad.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Local open-source AI app builder for power users | | Stars | 4,142 | 21,585 | | Forks | 659 | 2,638 | | Open issues | 16 | 340 | | Language | TypeScript | TypeScript | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options. | | Persona | - | - | | Runtime | - | - | | License | MIT | Combines Apache 2.0 license and Fair Source License 1.1 Apache 2.0 for pro features, offering flexibility in usage but potential licensing complexity. | | 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) | [dyad](/tools/dyad-sh-dyad.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 759d | 1d | | Open issues (now) | 16 | 340 | | Stars delta | +1 (30d) | +360 (30d) | | Open issues delta | 0 (30d) | +50 (30d) | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/dyad-sh-dyad/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: dyad - **Adopt for:** dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options. - **License detail:** Combines Apache 2.0 license and Fair Source License 1.1 Apache 2.0 for pro features, offering flexibility in usage but potential licensing complexity. ## Choose when ### Choose ai-getting-started if… - License: ai-getting-started is MIT, dyad is Other. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Model Training, Vector Databases. - ai-getting-started ships Docker support for self-hosted deployment. - * 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 dyad if… - License: dyad is Other, ai-getting-started is MIT. - Tags unique to dyad: ai-app-builder, anthropic, artificial-intelligence, bolt. - dyad ships an MCP server manifest. - Developing local AI applications requires a flexible framework like dyad that supports multiple LLM frameworks and integrates seamlessly with NextJS and Vercel. ## 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 dyad - Avoid using dyad if you require extensive support from proprietary frameworks not included in its ecosystem. - Not recommended for projects with strict licensing constraints that cannot accommodate dyad's mix of open-source and fair-source licensing models. ## Common questions ### What is the difference between ai-getting-started and dyad? ai-getting-started: A Javascript AI getting started stack for weekend projects. dyad: Local open-source AI app builder for power users. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over dyad? Choose ai-getting-started over dyad when License: ai-getting-started is MIT, dyad is Other; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * 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 dyad over ai-getting-started? Choose dyad over ai-getting-started when License: dyad is Other, ai-getting-started is MIT; Tags unique to dyad: ai-app-builder, anthropic, artificial-intelligence, bolt; dyad ships an MCP server manifest; Developing local AI applications requires a flexible framework like dyad that supports multiple LLM frameworks and integrates seamlessly with NextJS and Vercel. ### 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 dyad? Avoid using dyad if you require extensive support from proprietary frameworks not included in its ecosystem. Not recommended for projects with strict licensing constraints that cannot accommodate dyad's mix of open-source and fair-source licensing models. ### Is ai-getting-started or dyad more popular on GitHub? dyad has more GitHub stars (21,585 vs 4,142). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and dyad open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, dyad: Other). ### Where can I find alternatives to ai-getting-started or dyad? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [dyad alternatives](/tools/dyad-sh-dyad/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [dyad markdown twin](/tools/dyad-sh-dyad/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-dyad-sh-dyad.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 dyad? ai-getting-started: Dormant. dyad: 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 dyad? 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); [dyad trust report](/tools/dyad-sh-dyad/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/_