Comparison
ai-getting-started vs plate
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 plate if plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities.
Markdown twin · ai-getting-started alternatives · plate alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-getting-started | plate |
|---|---|---|
| Maintenance | Dormant (723d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- plate
- Rich-text editor with AI and shadcn/ui
Stars
- ai-getting-started
- 4.1k
- plate
- 16k
Forks
- ai-getting-started
- 660
- plate
- 991
Open issues
- ai-getting-started
- 16
- plate
- 14
Language
- ai-getting-started
- TypeScript
- plate
- 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.
- plate
- plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities.
Persona
- ai-getting-started
- -
- plate
- -
Runtime
- ai-getting-started
- -
- plate
- -
License
- ai-getting-started
- MIT
- plate
- Other
Last pushed
- ai-getting-started
- Aug 21, 2024
- plate
- Jul 26, 2026
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- plate
- Developer Tools
Trust and health
Maintenance
- ai-getting-started
- Dormant (18%)
- plate
- Very active (96%)
Days since push
- ai-getting-started
- 723d
- plate
- 0d
Open issues (now)
- ai-getting-started
- 16
- plate
- 14
Stars delta
- ai-getting-started
- 0 (30d)
- plate
- Unknown
Open issues delta
- ai-getting-started
- 0 (30d)
- plate
- Unknown
OSV dependency advisories
- ai-getting-started
- Published findings
- plate
- No lockfile (source not queried)
Full report
- ai-getting-started
- Trust report
- plate
- Trust report
Choose ai-getting-started if…
- License: ai-getting-started is MIT, plate 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 plate if…
- License: plate is Other, ai-getting-started is MIT.
- Tags unique to plate: ai, mcp, react, shadcn-ui.
- You need to integrate rich text editing capabilities with an emphasis on modern, sleek design provided by ShadCN components.
When NOT to use plate
- If your project is not based on React, as plate deeply integrates with the React ecosystem and its suite of tools like Slate.
- When you seek a tool that does not require ShadCN UI components, as plate tightly couples these for its user interface design.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (a16z-infra/ai-getting-started) · observed Aug 15, 2026
- GitHub forks (a16z-infra/ai-getting-started) · observed Aug 15, 2026
- Last push (a16z-infra/ai-getting-started) · observed Aug 21, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (udecode/plate) · observed Jul 26, 2026
- GitHub forks (udecode/plate) · observed Jul 26, 2026
- Last push (udecode/plate) · observed Jul 26, 2026
- License file (Other) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-getting-started 4.1k · plate 16k (synced Aug 15, 2026).
Common questions
- What is the difference between ai-getting-started and plate?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. plate: Rich-text editor with AI and shadcn/ui. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over plate?
- Choose ai-getting-started over plate when License: ai-getting-started is MIT, plate 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 plate over ai-getting-started?
- Choose plate over ai-getting-started when License: plate is Other, ai-getting-started is MIT; Tags unique to plate: ai, mcp, react, shadcn-ui; You need to integrate rich text editing capabilities with an emphasis on modern, sleek design provided by ShadCN components.
- 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 plate?
- If your project is not based on React, as plate deeply integrates with the React ecosystem and its suite of tools like Slate. When you seek a tool that does not require ShadCN UI components, as plate tightly couples these for its user interface design.
- Is ai-getting-started or plate more popular on GitHub?
- plate has more GitHub stars (16,446 vs 4,141). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and plate open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, plate: Other).
- Where can I find alternatives to ai-getting-started or plate?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and plate alternatives (ai-getting-started markdown twin, plate 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 plate?
- ai-getting-started: Dormant. plate: 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 plate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; plate trust report.