--- title: "lightly vs myvision" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightly-ai-lightly-vs-ovidijusparsiunas-myvision" tools: ["lightly-ai-lightly", "ovidijusparsiunas-myvision"] --- # lightly vs myvision *GraphCanon updated Aug 22, 2026* ## Verdict Pick lightly if lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets; 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. [lightly](https://docs.lightly.ai/self-supervised-learning/) reports 3.8k GitHub stars, 354 forks, and 97 open issues, last pushed Aug 21, 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 [lightly's repository](https://github.com/lightly-ai/lightly) and [myvision's repository](https://github.com/OvidijusParsiunas/myvision). | | [lightly](/tools/lightly-ai-lightly.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Tagline | A python library for self-supervised learning on images. | Computer vision based ML training data generation tool | | Stars | 3,795 | 610 | | Forks | 354 | 72 | | Open issues | 97 | 6 | | Language | Python | JavaScript | | Adopt for | Lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets. | 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 | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lightly](/tools/lightly-ai-lightly.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 97 | 6 | | Stars delta | +11 (30d) | Unknown | | Open issues delta | +4 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/lightly-ai-lightly/trust.md) | [trust report](/tools/ovidijusparsiunas-myvision/trust.md) | ## Decision facts: lightly - **Adopt for:** Lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets. ## 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 lightly if… - lightly is primarily Python; myvision is JavaScript. - License: lightly is MIT, myvision is GPL-3.0. - Tags unique to lightly: computer-vision, contrastive-learning, deep-learning, embeddings. - You need to enhance model performance with unlabeled image data. ### Choose myvision if… - myvision is primarily JavaScript; lightly is Python. - License: myvision is GPL-3.0, lightly is MIT. - 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 lightly - Labeled datasets are abundant and of high quality for your use case. - Project requirements strictly limit the use of Python-based libraries. ## 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 lightly and myvision? lightly: A python library for self-supervised learning on images.. myvision: Computer vision based ML training data generation tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose lightly over myvision? Choose lightly over myvision when lightly is primarily Python; myvision is JavaScript; License: lightly is MIT, myvision is GPL-3.0; Tags unique to lightly: computer-vision, contrastive-learning, deep-learning, embeddings; You need to enhance model performance with unlabeled image data. ### When should I choose myvision over lightly? Choose myvision over lightly when myvision is primarily JavaScript; lightly is Python; License: myvision is GPL-3.0, lightly is MIT; 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 lightly? Labeled datasets are abundant and of high quality for your use case. Project requirements strictly limit the use of Python-based libraries. ### 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 lightly or myvision more popular on GitHub? lightly has more GitHub stars (3,795 vs 610). Stars measure visibility, not whether either tool fits your constraints. ### Are lightly and myvision open source? Yes - both are open-source projects on GitHub (lightly: MIT, myvision: GPL-3.0). ### Where can I find alternatives to lightly or myvision? GraphCanon lists graph-backed alternatives at [lightly alternatives](/tools/lightly-ai-lightly/alternatives) and [myvision alternatives](/tools/ovidijusparsiunas-myvision/alternatives) ([lightly markdown twin](/tools/lightly-ai-lightly/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/lightly-ai-lightly-vs-ovidijusparsiunas-myvision.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lightly or myvision? lightly: Very active. 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 lightly and myvision? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lightly trust report](/tools/lightly-ai-lightly/trust); [myvision trust report](/tools/ovidijusparsiunas-myvision/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightly-ai-lightly`](/api/graphcanon/graph?tool=lightly-ai-lightly) - 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/_