{"id":26109904,"url":"https://github.com/AtomScott/SoccerTrack","last_synced_at":"2025-03-10T00:01:31.078Z","repository":{"id":37406457,"uuid":"433316752","full_name":"AtomScott/SportsLabKit","owner":"AtomScott","description":"A python package for turning sports video into csv files","archived":false,"fork":false,"pushed_at":"2023-12-19T04:38:38.000Z","size":259864,"stargazers_count":196,"open_issues_count":9,"forks_count":17,"subscribers_count":6,"default_branch":"develop","last_synced_at":"2024-04-14T10:25:31.585Z","etag":null,"topics":["computer-vision","data-science","football","multi-object-tracking","multiobject-tracking","python","soccer","sports","sports-analytics","tracking"],"latest_commit_sha":null,"homepage":"https://sportslabkit.rtfd.io","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AtomScott.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"contributing.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2021-11-30T06:17:21.000Z","updated_at":"2024-04-12T12:39:46.000Z","dependencies_parsed_at":"2023-10-12T15:24:02.624Z","dependency_job_id":"5e875263-4e1d-4314-a820-89683e5a11c3","html_url":"https://github.com/AtomScott/SportsLabKit","commit_stats":{"total_commits":161,"total_committers":8,"mean_commits":20.125,"dds":"0.11180124223602483","last_synced_commit":"9591d6db9e8de20e6a458ba24a45ac58d23d1358"},"previous_names":["atomscott/sportslabkit","atomscott/soccertrack"],"tags_count":27,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtomScott%2FSportsLabKit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtomScott%2FSportsLabKit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtomScott%2FSportsLabKit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtomScott%2FSportsLabKit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AtomScott","download_url":"https://codeload.github.com/AtomScott/SportsLabKit/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242768078,"owners_count":20182099,"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":["computer-vision","data-science","football","multi-object-tracking","multiobject-tracking","python","soccer","sports","sports-analytics","tracking"],"created_at":"2025-03-10T00:00:51.910Z","updated_at":"2025-03-10T00:01:25.929Z","avatar_url":"https://github.com/AtomScott.png","language":"Jupyter Notebook","readme":null,"funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAtomScott%2FSoccerTrack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FAtomScott%2FSoccerTrack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAtomScott%2FSoccerTrack/lists"}