--- title: "ai-getting-started vs simple-chromium-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-kstonekuan-simple-chromium-ai" tools: ["a16z-infra-ai-getting-started", "kstonekuan-simple-chromium-ai"] --- # ai-getting-started vs simple-chromium-ai *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 simple-chromium-ai if the simple-chromium-ai library offers TypeScript developers a way to run Local Large Language Models directly within Chromium browsers. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 659 forks, and 16 open issues, last pushed Aug 21, 2024. [simple-chromium-ai](https://www.npmjs.com/package/simple-chromium-ai) has 268 stars, 14 forks, and 11 open issues, last pushed Aug 11, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [simple-chromium-ai's repository](https://github.com/kstonekuan/simple-chromium-ai). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [simple-chromium-ai](/tools/kstonekuan-simple-chromium-ai.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | TypeScript library for executing local LLM in Chromium browsers | | Stars | 4,142 | 268 | | Forks | 659 | 14 | | Open issues | 16 | 11 | | 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. | The simple-chromium-ai library offers TypeScript developers a way to run Local Large Language Models directly within Chromium browsers. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Model Training, Vector Databases | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [simple-chromium-ai](/tools/kstonekuan-simple-chromium-ai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 759d | 39d | | Open issues (now) | 16 | 11 | | Owner type | Organization | User | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/kstonekuan-simple-chromium-ai/trust.md) | ## Shared compatibility - **Node.js**: [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) - Node.js runtime; [simple-chromium-ai](/tools/kstonekuan-simple-chromium-ai.md) - Node.js runtime ## 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: simple-chromium-ai - **Adopt for:** The simple-chromium-ai library offers TypeScript developers a way to run Local Large Language Models directly within Chromium browsers. ## Choose when ### Choose ai-getting-started if… - 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 simple-chromium-ai if… - Tags unique to simple-chromium-ai: browser-extension, chrome, chrome-extension, chromium. - Also covers LLM Frameworks. - When you need to integrate local LLM capabilities into web applications that are run in Chromium-based browsers, such as Chrome and Edge. ## 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 simple-chromium-ai - In cases where the application must support a variety of non-Chromium browsers without significant fallback mechanisms for alternative browser engine integration. - If the development team prioritizes JavaScript over TypeScript and considers the type checking overhead unnecessary or cumbersome. ## Common questions ### What is the difference between ai-getting-started and simple-chromium-ai? ai-getting-started: A Javascript AI getting started stack for weekend projects. simple-chromium-ai: TypeScript library for executing local LLM in Chromium browsers. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over simple-chromium-ai? Choose ai-getting-started over simple-chromium-ai when 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 simple-chromium-ai over ai-getting-started? Choose simple-chromium-ai over ai-getting-started when Tags unique to simple-chromium-ai: browser-extension, chrome, chrome-extension, chromium; Also covers LLM Frameworks; When you need to integrate local LLM capabilities into web applications that are run in Chromium-based browsers, such as Chrome and Edge. ### 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 simple-chromium-ai? In cases where the application must support a variety of non-Chromium browsers without significant fallback mechanisms for alternative browser engine integration. If the development team prioritizes JavaScript over TypeScript and considers the type checking overhead unnecessary or cumbersome. ### Is ai-getting-started or simple-chromium-ai more popular on GitHub? ai-getting-started has more GitHub stars (4,142 vs 268). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and simple-chromium-ai open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, simple-chromium-ai: MIT). ### Where can I find alternatives to ai-getting-started or simple-chromium-ai? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [simple-chromium-ai alternatives](/tools/kstonekuan-simple-chromium-ai/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [simple-chromium-ai markdown twin](/tools/kstonekuan-simple-chromium-ai/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-kstonekuan-simple-chromium-ai.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 simple-chromium-ai? ai-getting-started: Dormant. simple-chromium-ai: Steady. 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 simple-chromium-ai? 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); [simple-chromium-ai trust report](/tools/kstonekuan-simple-chromium-ai/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/_