--- title: "classifai vs ultralytics" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/10up-classifai-vs-ultralytics-ultralytics" tools: ["10up-classifai", "ultralytics-ultralytics"] --- # classifai vs ultralytics *GraphCanon updated Sep 30, 2026* ## Verdict Pick classifai if classifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement; pick ultralytics if ultralytics offers a suite of YOLO models for a variety of computer vision tasks, including object detection, instance segmentation, and image classification, with support for deployment in ONNX format. [classifai](https://classifaiplugin.com) reports 711 GitHub stars, 65 forks, and 114 open issues, last pushed Sep 17, 2026. [ultralytics](https://platform.ultralytics.com) has 62k stars, 12k forks, and 82 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [classifai's repository](https://github.com/10up/classifai) and [ultralytics's repository](https://github.com/ultralytics/ultralytics). | | [classifai](/tools/10up-classifai.md) | [ultralytics](/tools/ultralytics-ultralytics.md) | | --- | --- | --- | | Tagline | Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence | Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 for various computer vision tasks | | Stars | 711 | 61,741 | | Forks | 65 | 11,779 | | Open issues | 114 | 82 | | Language | PHP | Python | | Adopt for | ClassifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement. | Ultralytics offers a suite of YOLO models for a variety of computer vision tasks, including object detection, instance segmentation, and image classification, with support for deployment in ONNX format. | | Persona | - | - | | Runtime | - | - | | License | GPL-2.0 | Ultralytics is available under the AGPL-3.0 license for open-source collaboration, or under a proprietary Enterprise License for commercial use. | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [classifai](/tools/10up-classifai.md) | [ultralytics](/tools/ultralytics-ultralytics.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 114 | 82 | | Stars delta | +1 (30d) | +1.5k (30d) | | Open issues delta | +1 (30d) | -95 (30d) | | Full report | [trust report](/tools/10up-classifai/trust.md) | [trust report](/tools/ultralytics-ultralytics/trust.md) | ## Decision facts: classifai - **Adopt for:** ClassifAI is an AI-enhanced plugin for WordPress that leverages computer vision and classification to improve content management and user engagement. ## Decision facts: ultralytics - **Pricing:** freemium - Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License. - **Requirements:** Min 4 GB RAM; Requires Python and PyTorch for model training and inference. - **Adopt for:** Ultralytics offers a suite of YOLO models for a variety of computer vision tasks, including object detection, instance segmentation, and image classification, with support for deployment in ONNX format. - **License detail:** Ultralytics is available under the AGPL-3.0 license for open-source collaboration, or under a proprietary Enterprise License for commercial use. ## Choose when ### Choose classifai if… - classifai is primarily PHP; ultralytics is Python. - License: classifai is GPL-2.0, ultralytics is AGPL-3.0. - Tags unique to classifai: ai, artificial-intelligence, classification, content-tagging. - When you need advanced content tagging and automatic categorization through computer vision on a WordPress site. ### Choose ultralytics if… - ultralytics is primarily Python; classifai is PHP. - License: ultralytics is AGPL-3.0, classifai is GPL-2.0. - Pricing: Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License.. - Requirements: Min 4 GB RAM; Requires Python and PyTorch for model training and inference.. - Tags unique to ultralytics: deep-learning, image-classification, instance-segmentation, object-detection. - When you need a comprehensive set of YOLO models for multiple computer vision tasks, including object detection, instance segmentation, and image classification. ## When NOT to use classifai - For projects where the minimum PHP version required is below 7.4, given that ClassifAI mandates at least this version. - When there's a need for a more lightweight solution without the overhead of integrating with multiple external services like Microsoft Azure or IBM Watson. ## When NOT to use ultralytics - If your project strictly requires proprietary or closed-source software, as Ultralytics' AGPL-3.0 license may not be suitable without purchasing the Enterprise License. - When you need a tool that focuses solely on a specific computer vision task, as Ultralytics provides a broad range of models which might be overkill for a single-task focus. - If you are looking for a tool that does not support deployment in ONNX format, as Ultralytics specifically supports this for deployment purposes. ## Common questions ### What is the difference between classifai and ultralytics? classifai: Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. ultralytics: Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 for various computer vision tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose classifai over ultralytics? Choose classifai over ultralytics when classifai is primarily PHP; ultralytics is Python; License: classifai is GPL-2.0, ultralytics is AGPL-3.0; Tags unique to classifai: ai, artificial-intelligence, classification, content-tagging; When you need advanced content tagging and automatic categorization through computer vision on a WordPress site. ### When should I choose ultralytics over classifai? Choose ultralytics over classifai when ultralytics is primarily Python; classifai is PHP; License: ultralytics is AGPL-3.0, classifai is GPL-2.0; Pricing: Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License.; Requirements: Min 4 GB RAM; Requires Python and PyTorch for model training and inference.; Tags unique to ultralytics: deep-learning, image-classification, instance-segmentation, object-detection; When you need a comprehensive set of YOLO models for multiple computer vision tasks, including object detection, instance segmentation, and image classification. ### When should I avoid classifai? For projects where the minimum PHP version required is below 7.4, given that ClassifAI mandates at least this version. When there's a need for a more lightweight solution without the overhead of integrating with multiple external services like Microsoft Azure or IBM Watson. ### When should I avoid ultralytics? If your project strictly requires proprietary or closed-source software, as Ultralytics' AGPL-3.0 license may not be suitable without purchasing the Enterprise License. When you need a tool that focuses solely on a specific computer vision task, as Ultralytics provides a broad range of models which might be overkill for a single-task focus. If you are looking for a tool that does not support deployment in ONNX format, as Ultralytics specifically supports this for deployment purposes. ### Is classifai or ultralytics more popular on GitHub? ultralytics has more GitHub stars (61,741 vs 711). Stars measure visibility, not whether either tool fits your constraints. ### Are classifai and ultralytics open source? Yes - both are open-source projects on GitHub (classifai: GPL-2.0, ultralytics: AGPL-3.0). ### Where can I find alternatives to classifai or ultralytics? GraphCanon lists graph-backed alternatives at [classifai alternatives](/tools/10up-classifai/alternatives) and [ultralytics alternatives](/tools/ultralytics-ultralytics/alternatives) ([classifai markdown twin](/tools/10up-classifai/alternatives.md), [ultralytics markdown twin](/tools/ultralytics-ultralytics/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/10up-classifai-vs-ultralytics-ultralytics.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, classifai or ultralytics? classifai: Very active. ultralytics: 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 classifai and ultralytics? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [classifai trust report](/tools/10up-classifai/trust); [ultralytics trust report](/tools/ultralytics-ultralytics/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=10up-classifai`](/api/graphcanon/graph?tool=10up-classifai) - 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/_