{"data":{"slug":"comet-ml-comet-examples","name":"comet-examples","tagline":"Examples of Machine Learning code using Comet.ml","github_url":"https://github.com/comet-ml/comet-examples","owner":"comet-ml","repo":"comet-examples","owner_avatar_url":"https://avatars.githubusercontent.com/u/31487821?v=4","primary_language":"Jupyter Notebook","stars":176,"forks":67,"topics":["comet-ml","deep-learning","deep-learning-algorithms","deep-learning-libraries","deep-learning-python","machine-learning","machine-learning-platform","python"],"archived":false,"github_pushed_at":"2026-07-28T14:43:15+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/comet-ml-comet-examples","markdown_url":"https://www.graphcanon.com/tools/comet-ml-comet-examples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/comet-ml-comet-examples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=comet-ml-comet-examples","description":"Examples of Machine Learning code using Comet.ml ","homepage_url":null,"license":null,"open_issues":26,"watchers":12,"ai_summary":"Provides examples and demonstrations for utilizing Comet.ml in various machine learning projects, emphasizing deep learning algorithms and libraries.","readme_excerpt":"## Installation\n\n- [Sign up for free!](https://www.comet.com/signup)\n\n- **Install Comet from PyPI:**\n\n```sh\npip install comet_ml\n```\nComet Python SDK is compatible with: __Python 3.5-3.13__.","github_created_at":"2018-11-21T18:00:34+00:00","created_at":"2026-07-11T23:25:26.994226+00:00","updated_at":"2026-08-03T06:02:00.629003+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"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":"comet-ml","name":"comet-ml"},{"slug":"deep-learning-algorithms","name":"deep-learning-algorithms"},{"slug":"machine-learning-platform","name":"machine-learning-platform"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":158587515,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-03T06:01:59.903Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":5,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:25:35.248Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-03T06:02:00.361Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-03T06:02:00.361Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you are working with deep learning frameworks such as PyTorch or TensorFlow and want to integrate Comet.ml for experiment tracking and model management.","For projects that require reproducibility and observability where detailed logging of experiments is essential, Comet-examples offers practical implementations."],"when_not_to_use":["If you are looking for a tool without third-party dependencies, as Comet-examples necessitates the use of Comet.ml which requires registration.","Avoid using this repository if your project does not need advanced experiment management features and simple code examples would suffice."],"source":"enrich:decision_facts","observed_at":"2026-07-17T13:02:46.446Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Comet-examples is a collection of machine learning code demonstrations using Comet.ml. It focuses on deep learning algorithms and libraries, providing examples in Jupyter Notebook format."}]}}