{"data":{"slug":"ultralytics-ultralytics","name":"ultralytics","tagline":"Object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking","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":60259,"forks":11533,"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","yolo-world","yolo11","yolo26","yolov8"],"archived":false,"github_pushed_at":"2026-08-06T11:38:10+00:00","maintenance_label":"Very active","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 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":177,"watchers":264,"ai_summary":"Ultralytics YOLO series for advanced computer vision tasks including detection, segmentation, and 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":"2026-08-06T12:00:46.911628+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"}],"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":"2026-08-06T12:00:45.893Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":30,"days_since_push":0,"last_release_at":"2026-08-01T16:06:47Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:30:00.034Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-06T12:00:46.586Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-08-06T12:00:46.586Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-06T12:00:46.586Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-08-06T12:00:46.586Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When precision in real-time object detection and segmentation across multiple domains (e.g., robotics, surveillance) is needed.","For projects that benefit from an active community and collaboration on open-source improvements with AGPL-3.0 licensing."],"when_not_to_use":["If a project requires proprietary modifications or integrations where source code contributions must be tightly controlled, as the AGPL-3.0 would require sharing modified versions of Ultralytics.","When deployment scenarios strictly limit the use of open-source software due to compliance or security policies that might conflict with AGPL licensing."],"source":"enrich:decision_facts","observed_at":"2026-07-11T10:47:02.880Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Ultralytics is renowned for advanced computer vision tasks including object detection, instance segmentation, and tracking through its YOLO series."},{"label":"License detail","value":"Available under both an open-source AGPL-3.0 license for community and academic use, and a commercial Enterprise License for business integration and production, providing flexibility beyond just open"}]}}