{"data":{"slug":"open-mmlab-mmengine","name":"mmengine","tagline":"OpenMMLab Foundational Library for Training Deep Learning Models","github_url":"https://github.com/open-mmlab/mmengine","owner":"open-mmlab","repo":"mmengine","owner_avatar_url":"https://avatars.githubusercontent.com/u/10245193?v=4","primary_language":"Python","stars":1496,"forks":464,"topics":["ai","computer-vision","deep-learning","machine-learning","python","pytorch"],"archived":false,"github_pushed_at":"2026-07-13T07:30:05+00:00","maintenance_label":"Steady","stars_delta_30d":14,"url":"https://www.graphcanon.com/tools/open-mmlab-mmengine","markdown_url":"https://www.graphcanon.com/tools/open-mmlab-mmengine.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-mmlab-mmengine","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-mmlab-mmengine","description":"OpenMMLab Foundational Library for Training Deep Learning Models","homepage_url":"https://mmengine.readthedocs.io/","license":"Apache-2.0","open_issues":269,"watchers":22,"ai_summary":"MMEngine, part of OpenMMLab, is a foundational library used for training deep learning models in Python, especially those involving PyTorch.","readme_excerpt":"## Installation\n\n<details>\n<summary>Supported PyTorch Versions</summary>\n\n| MMEngine           | PyTorch      | Python         |\n| ------------------ | ------------ | -------------- |\n| main               | >=1.6 \\<=2.1 | >=3.8, \\<=3.11 |\n| >=0.9.0, \\<=0.10.4 | >=1.6 \\<=2.1 | >=3.8, \\<=3.11 |\n\n</details>\n\nBefore installing MMEngine, please ensure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/get-started/locally/).\n\nInstall MMEngine\n\n```bash\npip install -U openmim\nmim install mmengine\n```\n\nVerify the installation\n\n```bash\npython -c 'from mmengine.utils.dl_utils import collect_env;print(collect_env())'\n```\n\n---\n\n## License\n\nThis project is released under the [Apache 2.0 license](LICENSE).","github_created_at":"2022-02-08T09:05:09+00:00","created_at":"2026-07-11T12:26:06.53039+00:00","updated_at":"2026-09-22T06:00:33.687493+00:00","categories":[{"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":"ai","name":"ai"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"python","name":"python"},{"slug":"pytorch","name":"pytorch"}],"trust":{"provenance":{"is_fork":false,"github_id":456857425,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-22T06:00:32.907Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":1,"days_since_push":70,"last_release_at":"2026-07-13T07:30:05Z","stars_delta_30d":14,"open_issues_delta_30d":9},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:26:12.036Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-22T06:00:33.355Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-22T06:00:33.355Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-22T06:00:33.355Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0)."},"requirements":null,"constraints":{"pricing_model":"freemium"},"when_to_use":["- Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.","- It is ideal if you operate within the constraints of supported PyTorch versions (>=1.6, <=2.1) and Python versions (>=3.8, <=3.11).","- Opt for MMEngine if you are working on projects that align with OpenMMLab's vision and have an active need or preference for tools developed within this ecosystem."],"when_not_to_use":["- Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+).","- If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support.","- Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem."],"source":"enrich:decision_facts","observed_at":"2026-07-12T14:24:32.969Z"},"constraint_facets":{"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0)."},{"label":"Adopt for","value":"MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python."},{"label":"License detail","value":"MMEngine is distributed under the Apache 2.0 License."}]}}