Home/Compare/ai-getting-started vs dyad

Comparison

ai-getting-started vs dyad

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.

Markdown twin · ai-getting-started alternatives · dyad alternatives

GraphCanon updated Aug 15, 2026

7views this month

ai-getting-started logo

ai-getting-started

a16z-infra/ai-getting-started

4.1kpushed Aug 21, 2024
vs
dyad logo

dyad

dyad-sh/dyad

21kpushed Aug 13, 2026

Trust & integrity

Signalai-getting-starteddyad
Maintenance
Dormant (723d since push)
As of Aug 15, 2026 · github_public_v1
Very active (0d since push)
As of Aug 13, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 15, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 13, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ai-getting-started
A Javascript AI getting started stack for weekend projects
dyad
Local open-source AI app builder for power users

Stars

ai-getting-started
4.1k
dyad
21k

Forks

ai-getting-started
660
dyad
2.6k

Open issues

ai-getting-started
16
dyad
290

Language

ai-getting-started
TypeScript
dyad
TypeScript

Adopt for

ai-getting-started
ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations.
dyad
dyad is an open-source AI app builder for TypeScript-oriented projects with versatile integration options.

Persona

ai-getting-started
-
dyad
-

Runtime

ai-getting-started
-
dyad
-

License

ai-getting-started
MIT
dyad
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.

Last pushed

ai-getting-started
Aug 21, 2024
dyad
Aug 13, 2026

Categories

ai-getting-started
Developer Tools, Model Training, Vector Databases
dyad
Developer Tools

Trust and health

Maintenance

ai-getting-started
Dormant (18%)
dyad
Very active (96%)

Days since push

ai-getting-started
723d
dyad
0d

Open issues (now)

ai-getting-started
16
dyad
290

Stars delta

ai-getting-started
0 (30d)
dyad
Unknown

Open issues delta

ai-getting-started
0 (30d)
dyad
Unknown

OSV dependency advisories

ai-getting-started
Published findings
dyad
No lockfile (source not queried)

Full report

ai-getting-started
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ai-getting-started 4.1k · dyad 21k (synced Aug 15, 2026).

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 (21,225 vs 4,141). 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 and dyad alternatives (ai-getting-started markdown twin, dyad markdown twin), 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 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; dyad trust report.

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