--- title: "ai-getting-started vs myvision" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-ovidijusparsiunas-myvision" tools: ["a16z-infra-ai-getting-started", "ovidijusparsiunas-myvision"] --- # ai-getting-started vs myvision *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 myvision if myvision is a JavaScript-based tool designed to streamline the creation of training datasets for computer vision models by providing support for various annotation formats like COCO, VGG, and YOLO. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [myvision](https://myvision.ai) has 610 stars, 72 forks, and 6 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [myvision's repository](https://github.com/OvidijusParsiunas/myvision). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Computer vision based ML training data generation tool | | Stars | 4,141 | 610 | | Forks | 660 | 72 | | Open issues | 16 | 6 | | Language | TypeScript | JavaScript | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | myvision is a JavaScript-based tool designed to streamline the creation of training datasets for computer vision models by providing support for various annotation formats like COCO, VGG, and YOLO. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | Categories | Developer Tools, Model Training, Vector Databases | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 723d | 1d | | Open issues (now) | 16 | 6 | | 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/ovidijusparsiunas-myvision/trust.md) | ## Shared compatibility - **Node.js**: [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) - Node.js runtime; [myvision](/tools/ovidijusparsiunas-myvision.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: myvision - **Adopt for:** myvision is a JavaScript-based tool designed to streamline the creation of training datasets for computer vision models by providing support for various annotation formats like COCO, VGG, and YOLO. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; myvision is JavaScript. - License: ai-getting-started is MIT, myvision is GPL-3.0. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Developer Tools, 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 myvision if… - myvision is primarily JavaScript; ai-getting-started is TypeScript. - License: myvision is GPL-3.0, ai-getting-started is MIT. - Tags unique to myvision: ai, annotation-tool, coco, image-annotation. - Also covers Computer Vision. - Use myvision when you need a tool that supports popular object detection framework formats such as COCO, VGG, and YOLO to ensure compatibility with existing datasets and model training pipelines. ## 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 myvision - Avoid using myvision if your team is not proficient in JavaScript or you do not wish to add another language to your tech stack, as this could complicate development and maintenance. - Do not use myvision for projects that must adhere to non-GPL licenses since its GPL-3.0 license might conflict with other open-source requirements. ## Common questions ### What is the difference between ai-getting-started and myvision? ai-getting-started: A Javascript AI getting started stack for weekend projects. myvision: Computer vision based ML training data generation tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over myvision? Choose ai-getting-started over myvision when ai-getting-started is primarily TypeScript; myvision is JavaScript; License: ai-getting-started is MIT, myvision is GPL-3.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Developer Tools, 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 myvision over ai-getting-started? Choose myvision over ai-getting-started when myvision is primarily JavaScript; ai-getting-started is TypeScript; License: myvision is GPL-3.0, ai-getting-started is MIT; Tags unique to myvision: ai, annotation-tool, coco, image-annotation; Also covers Computer Vision; Use myvision when you need a tool that supports popular object detection framework formats such as COCO, VGG, and YOLO to ensure compatibility with existing datasets and model training pipelines. ### 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 myvision? Avoid using myvision if your team is not proficient in JavaScript or you do not wish to add another language to your tech stack, as this could complicate development and maintenance. Do not use myvision for projects that must adhere to non-GPL licenses since its GPL-3.0 license might conflict with other open-source requirements. ### Is ai-getting-started or myvision more popular on GitHub? ai-getting-started has more GitHub stars (4,141 vs 610). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and myvision open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, myvision: GPL-3.0). ### Where can I find alternatives to ai-getting-started or myvision? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [myvision alternatives](/tools/ovidijusparsiunas-myvision/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [myvision markdown twin](/tools/ovidijusparsiunas-myvision/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-ovidijusparsiunas-myvision.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 myvision? ai-getting-started: Dormant. myvision: 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 myvision? 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); [myvision trust report](/tools/ovidijusparsiunas-myvision/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/_