{"data":{"slug":"ultralytics-ultralytics","name":"ultralytics","tagline":"Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 for various computer vision tasks","github_url":"https://github.com/ultralytics/ultralytics","owner":"ultralytics","repo":"ultralytics","owner_avatar_url":"https://avatars.githubusercontent.com/u/26833451?v=4","primary_language":"Python","stars":61741,"forks":11779,"topics":["computer-vision","deep-learning","image-classification","instance-segmentation","machine-learning","object-detection","object-tracking","pose-estimation","python","pytorch","rotated-object-detection","segment-anything","semantic-segmentation","tracking","ultralytics","yolo","yolo11","yolo26","yolo27","yolov8"],"archived":false,"github_pushed_at":"2026-09-18T07:07:03+00:00","maintenance_label":"Very active","stars_delta_30d":1482,"url":"https://www.graphcanon.com/tools/ultralytics-ultralytics","markdown_url":"https://www.graphcanon.com/tools/ultralytics-ultralytics.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ultralytics-ultralytics","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ultralytics-ultralytics","description":"Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking","homepage_url":"https://platform.ultralytics.com","license":"AGPL-3.0","open_issues":82,"watchers":269,"ai_summary":"Ultralytics provides YOLO models for object detection, instance segmentation, semantic segmentation, image classification, pose estimation, and object tracking.","readme_excerpt":"# Export the model to ONNX format for deployment\npath = model.export(format=\"onnx\")  # Returns the path to the exported model\n```\n\nDiscover more examples in the YOLO [Python Docs](https://docs.ultralytics.com/usage/python).\n\n</details>\n\n---\n\n## 📜 License\n\nUltralytics offers two licensing options to suit different needs:\n\n- **AGPL-3.0 License**: This [OSI-approved](https://opensource.org/license/agpl-3.0) open-source license is perfect for students, researchers, and enthusiasts. It encourages open collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) file for full details.\n- **Ultralytics Enterprise License**: For development and production use, this license enables seamless integration of Ultralytics software and AI models into business products and services, including internal tools, automated workflows, and production deployments, bypassing the open-source requirements of AGPL-3.0. To get started, please contact us via [Ultralytics Licensing](https://www.ultralytics.com/license).","github_created_at":"2022-09-11T16:39:45+00:00","created_at":"2026-07-07T22:37:56.899158+00:00","updated_at":"2026-09-20T04:28:47.047101+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"computer-vision","name":"computer-vision"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"image-classification","name":"image-classification"},{"slug":"instance-segmentation","name":"instance-segmentation"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"object-detection","name":"object-detection"},{"slug":"object-tracking","name":"object-tracking"},{"slug":"pose-estimation","name":"pose-estimation"}],"trust":{"provenance":{"is_fork":false,"github_id":535360445,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:10:04.091Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":30,"days_since_push":0,"last_release_at":"2026-09-17T14:05:11Z","stars_delta_30d":1482,"open_issues_delta_30d":-95},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:10:06.405Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:10:02.897Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:10:02.897Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:10:02.897Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-09-18T08:10:02.897Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License."},"requirements":{"notes":["Requires Python and PyTorch for model training and inference."],"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need a comprehensive set of YOLO models for multiple computer vision tasks, including object detection, instance segmentation, and image classification.","If you are working on projects that require the flexibility of deploying models in ONNX format for efficient inference.","For researchers and enthusiasts who prefer open-source collaboration and knowledge sharing under the AGPL-3.0 license.","When you require a tool that supports a wide range of tasks such as pose estimation and object tracking, alongside traditional computer vision tasks."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-09-18T09:13:32.618Z"},"constraint_facets":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - Free for open-source projects under AGPL-3.0, with paid options for commercial use through the Enterprise License."},{"label":"Requirements","value":"Min 4 GB RAM; Requires Python and PyTorch for model training and inference."},{"label":"Adopt for","value":"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."},{"label":"License detail","value":"Ultralytics is available under the AGPL-3.0 license for open-source collaboration, or under a proprietary Enterprise License for commercial use."}]}}