--- title: "onepanel vs myvision" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/onepanelio-onepanel-vs-ovidijusparsiunas-myvision" tools: ["onepanelio-onepanel", "ovidijusparsiunas-myvision"] --- # onepanel vs myvision *GraphCanon updated Jul 31, 2026* ## Verdict Pick onepanel if onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license; 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. [onepanel](https://docs.onepanel.ai/) reports 730 GitHub stars, 73 forks, and 102 open issues, last pushed Feb 25, 2023. [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 [onepanel's repository](https://github.com/onepanelio/onepanel) and [myvision's repository](https://github.com/OvidijusParsiunas/myvision). | | [onepanel](/tools/onepanelio-onepanel.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Tagline | The open source, end-to-end computer vision platform. | Computer vision based ML training data generation tool | | Stars | 730 | 610 | | Forks | 73 | 72 | | Open issues | 102 | 6 | | Language | Go | JavaScript | | Adopt for | Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. | 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 | Apache-2.0 | 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._ | | [onepanel](/tools/onepanelio-onepanel.md) | [myvision](/tools/ovidijusparsiunas-myvision.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1252d | 1d | | Open issues (now) | 102 | 6 | | Owner type | Organization | User | | Full report | [trust report](/tools/onepanelio-onepanel/trust.md) | [trust report](/tools/ovidijusparsiunas-myvision/trust.md) | ## Decision facts: onepanel - **Adopt for:** Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. ## 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 onepanel if… - onepanel is primarily Go; myvision is JavaScript. - License: onepanel is Apache-2.0, myvision is GPL-3.0. - Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning. - Also covers Inference & Serving. - onepanel ships Docker support for self-hosted deployment. - When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ### Choose myvision if… - myvision is primarily JavaScript; onepanel is Go. - License: myvision is GPL-3.0, onepanel is Apache-2.0. - 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 onepanel - Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. - Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ## 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 onepanel and myvision? onepanel: The open source, end-to-end computer vision platform.. myvision: Computer vision based ML training data generation tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose onepanel over myvision? Choose onepanel over myvision when onepanel is primarily Go; myvision is JavaScript; License: onepanel is Apache-2.0, myvision is GPL-3.0; Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning; Also covers Inference & Serving; onepanel ships Docker support for self-hosted deployment; When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ### When should I choose myvision over onepanel? Choose myvision over onepanel when myvision is primarily JavaScript; onepanel is Go; License: myvision is GPL-3.0, onepanel is Apache-2.0; 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 onepanel? Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ### 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 onepanel or myvision more popular on GitHub? onepanel has more GitHub stars (730 vs 610). Stars measure visibility, not whether either tool fits your constraints. ### Are onepanel and myvision open source? Yes - both are open-source projects on GitHub (onepanel: Apache-2.0, myvision: GPL-3.0). ### Where can I find alternatives to onepanel or myvision? GraphCanon lists graph-backed alternatives at [onepanel alternatives](/tools/onepanelio-onepanel/alternatives) and [myvision alternatives](/tools/ovidijusparsiunas-myvision/alternatives) ([onepanel markdown twin](/tools/onepanelio-onepanel/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/onepanelio-onepanel-vs-ovidijusparsiunas-myvision.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, onepanel or myvision? onepanel: 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 onepanel and myvision? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [onepanel trust report](/tools/onepanelio-onepanel/trust); [myvision trust report](/tools/ovidijusparsiunas-myvision/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=onepanelio-onepanel`](/api/graphcanon/graph?tool=onepanelio-onepanel) - 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/_