{"id":20356081,"url":"https://github.com/project-monai/monai-deploy","last_synced_at":"2025-08-15T17:32:00.223Z","repository":{"id":37905148,"uuid":"360565111","full_name":"Project-MONAI/monai-deploy","owner":"Project-MONAI","description":"MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.","archived":false,"fork":false,"pushed_at":"2024-06-14T15:30:35.000Z","size":231928,"stargazers_count":99,"open_issues_count":28,"forks_count":23,"subscribers_count":24,"default_branch":"main","last_synced_at":"2024-12-08T05:30:28.416Z","etag":null,"topics":["ai","ai-application-deployment","ai-application-development","deep-learning","dicom","fhir","guidelines","healthcare","inference","machine-learning","medical-imaging","ml-platform","mlops","monai","open-standard","pathology","python","pytorch","radiology"],"latest_commit_sha":null,"homepage":"","language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Project-MONAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-04-22T15:22:27.000Z","updated_at":"2024-11-07T13:30:47.000Z","dependencies_parsed_at":"2023-09-25T23:38:29.725Z","dependency_job_id":"44d7d5e0-0b51-43ee-b876-b8e8a17a1bae","html_url":"https://github.com/Project-MONAI/monai-deploy","commit_stats":null,"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Project-MONAI%2Fmonai-deploy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Project-MONAI%2Fmonai-deploy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Project-MONAI%2Fmonai-deploy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Project-MONAI%2Fmonai-deploy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Project-MONAI","download_url":"https://codeload.github.com/Project-MONAI/monai-deploy/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":229934723,"owners_count":18147101,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","ai-application-deployment","ai-application-development","deep-learning","dicom","fhir","guidelines","healthcare","inference","machine-learning","medical-imaging","ml-platform","mlops","monai","open-standard","pathology","python","pytorch","radiology"],"created_at":"2024-11-14T23:15:00.546Z","updated_at":"2024-12-16T09:20:05.817Z","avatar_url":"https://github.com/Project-MONAI.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fproject-monai%2Fmonai-deploy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fproject-monai%2Fmonai-deploy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fproject-monai%2Fmonai-deploy/lists"}