{"data":{"slug":"clearml-clearml","name":"clearml","tagline":"MLOps/LLMOps solution for CI/CD in AI workloads","github_url":"https://github.com/clearml/clearml","owner":"clearml","repo":"clearml","owner_avatar_url":"https://avatars.githubusercontent.com/u/38647316?v=4","primary_language":"Python","stars":6805,"forks":785,"topics":["ai","clearml","control","deep-learning","deeplearning","devops","experiment","experiment-manager","k8s","llmops","machine-learning","machinelearning","mlops","version","version-control"],"archived":false,"github_pushed_at":"2026-07-27T00:08:25+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/clearml-clearml","markdown_url":"https://www.graphcanon.com/tools/clearml-clearml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/clearml-clearml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=clearml-clearml","description":"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution","homepage_url":"https://clear.ml/docs","license":"Apache-2.0","open_issues":573,"watchers":90,"ai_summary":"ClearML offers comprehensive experiment and data management along with orchestration and serving features under one platform.","readme_excerpt":"## License\n\nApache License, Version 2.0 (see the [LICENSE](https://www.apache.org/licenses/LICENSE-2.0.html) for more information)\n\nIf ClearML is part of your development process / project / publication, please cite us :heart: : \n```\n@misc{clearml,\ntitle = {ClearML - Your entire MLOps stack in one open-source tool},\nyear = {2024},\nnote = {Software available from http://github.com/clearml/clearml},\nurl={https://clear.ml/},\nauthor = {ClearML},\n}\n```","github_created_at":"2019-06-10T08:18:32+00:00","created_at":"2026-07-07T17:41:54.179403+00:00","updated_at":"2026-08-03T06:01:58.749053+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"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":"clearml","name":"clearml"},{"slug":"control","name":"control"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"deeplearning","name":"deeplearning"},{"slug":"devops","name":"devops"},{"slug":"experiment-manager","name":"experiment-manager"},{"slug":"k8s","name":"k8s"}],"trust":{"provenance":{"is_fork":false,"github_id":191126383,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-03T06:01:57.967Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":4,"days_since_push":7,"last_release_at":"2026-07-01T14:30:34Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":119,"high_count":0,"last_scan_at":"2026-07-11T23:25:24.708Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-03T06:01:58.405Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-03T06:01:58.405Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-03T06:01:58.405Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects","If your project involves both traditional machine learning workflows and newer LLM-based operations, as ClearML supports LLMOps"],"when_not_to_use":["Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python","Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions"],"source":"enrich:decision_facts","observed_at":"2026-07-14T20:49:15.827Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform."}]}}