--- title: "geti_v2 vs myvision" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-edge-platform-geti-v2-vs-ovidijusparsiunas-myvision" tools: ["open-edge-platform-geti-v2", "ovidijusparsiunas-myvision"] --- # geti_v2 vs myvision *GraphCanon updated Aug 24, 2026* ## Verdict Pick geti_v2 if geti_v2 is designed for developers who need to build computer vision models quickly using limited datasets. It supports TypeScript and integrates with frameworks like OpenVINO; 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. [geti_v2](https://docs.geti.intel.com/docs/2.0/user-guide/getting-started/introduction) reports 483 GitHub stars, 50 forks, and 87 open issues, last pushed Jul 30, 2026. [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 [geti_v2's repository](https://github.com/open-edge-platform/geti_v2) and [myvision's repository](https://github.com/OvidijusParsiunas/myvision). | | [geti_v2](/tools/open-edge-platform-geti-v2.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Tagline | Build computer vision models quickly with less data | Computer vision based ML training data generation tool | | Stars | 483 | 610 | | Forks | 50 | 72 | | Open issues | 87 | 6 | | Language | TypeScript | JavaScript | | Adopt for | geti_v2 is designed for developers who need to build computer vision models quickly using limited datasets. It supports TypeScript and integrates with frameworks like OpenVINO. | 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 | The licensing type is listed as 'Other', implying that the license details should be closely reviewed for specific terms. | GPL-3.0 | | Categories | Computer Vision, Inference & Serving, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [geti_v2](/tools/open-edge-platform-geti-v2.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 25d | 1d | | Archived on GitHub | Yes | No | | Open issues (now) | 87 | 6 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/open-edge-platform-geti-v2/trust.md) | [trust report](/tools/ovidijusparsiunas-myvision/trust.md) | ## Decision facts: geti_v2 - **Pricing:** unknown - Pricing information is not provided. - **Requirements:** Min 0 GB RAM - **Adopt for:** geti_v2 is designed for developers who need to build computer vision models quickly using limited datasets. It supports TypeScript and integrates with frameworks like OpenVINO. - **License detail:** The licensing type is listed as 'Other', implying that the license details should be closely reviewed for specific terms. ## 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 geti_v2 if… - geti_v2 is primarily TypeScript; myvision is JavaScript. - License: geti_v2 is Other, myvision is GPL-3.0. - Pricing: Pricing information is not provided.. - Requirements: Min 0 GB RAM. - Tags unique to geti_v2: computer-vision, deep-learning, fine-tuning, inference. - Also covers Inference & Serving. - When you have a shortage of labeled data but still require high accuracy in your computer vision model. ### Choose myvision if… - myvision is primarily JavaScript; geti_v2 is TypeScript. - License: myvision is GPL-3.0, geti_v2 is Other. - Tags unique to myvision: ai, annotation-tool, coco, image-annotation. - 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 geti_v2 - When you need to work with languages other than TypeScript, as geti_v2 is specifically designed for use with TypeScript environments. - In scenarios where you have abundant labeled data and can afford longer training times, which may not leverage the key advantage of geti_v2's efficiency in low-data conditions. ## 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 geti_v2 and myvision? geti_v2: Build computer vision models quickly with less data. myvision: Computer vision based ML training data generation tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose geti_v2 over myvision? Choose geti_v2 over myvision when geti_v2 is primarily TypeScript; myvision is JavaScript; License: geti_v2 is Other, myvision is GPL-3.0; Pricing: Pricing information is not provided.; Requirements: Min 0 GB RAM; Tags unique to geti_v2: computer-vision, deep-learning, fine-tuning, inference; Also covers Inference & Serving; When you have a shortage of labeled data but still require high accuracy in your computer vision model. ### When should I choose myvision over geti_v2? Choose myvision over geti_v2 when myvision is primarily JavaScript; geti_v2 is TypeScript; License: myvision is GPL-3.0, geti_v2 is Other; Tags unique to myvision: ai, annotation-tool, coco, image-annotation; 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 geti_v2? When you need to work with languages other than TypeScript, as geti_v2 is specifically designed for use with TypeScript environments. In scenarios where you have abundant labeled data and can afford longer training times, which may not leverage the key advantage of geti_v2's efficiency in low-data conditions. ### 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 geti_v2 or myvision more popular on GitHub? myvision has more GitHub stars (610 vs 483). Stars measure visibility, not whether either tool fits your constraints. ### Are geti_v2 and myvision open source? Yes - both are open-source projects on GitHub (geti_v2: Other, myvision: GPL-3.0). ### Where can I find alternatives to geti_v2 or myvision? GraphCanon lists graph-backed alternatives at [geti_v2 alternatives](/tools/open-edge-platform-geti-v2/alternatives) and [myvision alternatives](/tools/ovidijusparsiunas-myvision/alternatives) ([geti_v2 markdown twin](/tools/open-edge-platform-geti-v2/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/open-edge-platform-geti-v2-vs-ovidijusparsiunas-myvision.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, geti_v2 or myvision? geti_v2: Archived. 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 geti_v2 and myvision? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [geti_v2 trust report](/tools/open-edge-platform-geti-v2/trust); [myvision trust report](/tools/ovidijusparsiunas-myvision/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-edge-platform-geti-v2`](/api/graphcanon/graph?tool=open-edge-platform-geti-v2) - 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/_