--- title: "ai-getting-started vs plate" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-udecode-plate" tools: ["a16z-infra-ai-getting-started", "udecode-plate"] --- # ai-getting-started vs plate *GraphCanon updated Aug 26, 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 plate if plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [plate](https://platejs.org) has 17k stars, 996 forks, and 17 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [plate's repository](https://github.com/udecode/plate). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [plate](/tools/udecode-plate.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Rich-text editor with AI and shadcn/ui | | Stars | 4,141 | 16,531 | | Forks | 660 | 996 | | Open issues | 16 | 17 | | 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. | plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | 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) | [plate](/tools/udecode-plate.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 723d | 1d | | Open issues (now) | 16 | 17 | | Stars delta | 0 (30d) | +85 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/udecode-plate/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: plate - **Adopt for:** plate is a TypeScript-based rich-text editor that combines Slate's contenteditable interfaces with ShadCN UI components and integrates AI functionalities. ## Choose when ### 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. ### 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 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 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. ## 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 (16,531 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](/tools/a16z-infra-ai-getting-started/alternatives) and [plate alternatives](/tools/udecode-plate/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [plate markdown twin](/tools/udecode-plate/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-udecode-plate.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 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](/tools/a16z-infra-ai-getting-started/trust); [plate trust report](/tools/udecode-plate/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/_