--- title: "ai-getting-started vs promptsite" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-dkuang1980-promptsite" tools: ["a16z-infra-ai-getting-started", "dkuang1980-promptsite"] --- # ai-getting-started vs promptsite *GraphCanon updated Aug 15, 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 promptsite if promptSite is designed for managing and tracking prompt versions in LLM projects with Python, providing an easy-to-use decorator for streamlined integration. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [promptsite](https://github.com/dkuang1980/promptsite) has 46 stars, 4 forks, and 2 open issues, last pushed Feb 3, 2025. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [promptsite's repository](https://github.com/dkuang1980/promptsite). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [promptsite](/tools/dkuang1980-promptsite.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | A lightweight prompt version management package for LLM prompts. | | Stars | 4,141 | 46 | | Forks | 660 | 4 | | Open issues | 16 | 2 | | Language | TypeScript | Python | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | PromptSite is designed for managing and tracking prompt versions in LLM projects with Python, providing an easy-to-use decorator for streamlined integration. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | 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) | [promptsite](/tools/dkuang1980-promptsite.md) | | --- | --- | --- | | Days since push | 723d | 544d | | Open issues (now) | 16 | 2 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/dkuang1980-promptsite/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: promptsite - **Adopt for:** PromptSite is designed for managing and tracking prompt versions in LLM projects with Python, providing an easy-to-use decorator for streamlined integration. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; promptsite is Python. - License: ai-getting-started is MIT, promptsite is Apache-2.0. - 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 promptsite if… - promptsite is primarily Python; ai-getting-started is TypeScript. - License: promptsite is Apache-2.0, ai-getting-started is MIT. - Tags unique to promptsite: debugging, decorators, experimentation, prompt management. - Also covers LLM Frameworks. - When your project requires detailed version control of prompts, as PromptSite manages versions effectively through its decorator. ## 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 promptsite - If your development team or project does not use Python, because PromptSite is strictly for Python-based projects only. - When a minimal package size is critical, as although PromptSite is lightweight, competitors might offer even more compact solutions without sacrificing necessary features. ## Common questions ### What is the difference between ai-getting-started and promptsite? ai-getting-started: A Javascript AI getting started stack for weekend projects. promptsite: A lightweight prompt version management package for LLM prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over promptsite? Choose ai-getting-started over promptsite when ai-getting-started is primarily TypeScript; promptsite is Python; License: ai-getting-started is MIT, promptsite is Apache-2.0; 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 promptsite over ai-getting-started? Choose promptsite over ai-getting-started when promptsite is primarily Python; ai-getting-started is TypeScript; License: promptsite is Apache-2.0, ai-getting-started is MIT; Tags unique to promptsite: debugging, decorators, experimentation, prompt management; Also covers LLM Frameworks; When your project requires detailed version control of prompts, as PromptSite manages versions effectively through its decorator. ### 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 promptsite? If your development team or project does not use Python, because PromptSite is strictly for Python-based projects only. When a minimal package size is critical, as although PromptSite is lightweight, competitors might offer even more compact solutions without sacrificing necessary features. ### Is ai-getting-started or promptsite more popular on GitHub? ai-getting-started has more GitHub stars (4,141 vs 46). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and promptsite open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, promptsite: Apache-2.0). ### Where can I find alternatives to ai-getting-started or promptsite? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [promptsite alternatives](/tools/dkuang1980-promptsite/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [promptsite markdown twin](/tools/dkuang1980-promptsite/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-dkuang1980-promptsite.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 promptsite? ai-getting-started: Dormant. promptsite: Dormant. 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 promptsite? 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); [promptsite trust report](/tools/dkuang1980-promptsite/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/_