{"id":13569622,"url":"https://github.com/kjhall01/xcast","last_synced_at":"2025-10-05T18:23:52.838Z","repository":{"id":39002810,"uuid":"386326352","full_name":"kjhall01/xcast","owner":"kjhall01","description":"A High-Performance Data Science Toolkit for the Earth Sciences ","archived":false,"fork":false,"pushed_at":"2024-06-08T18:20:28.000Z","size":440382,"stargazers_count":67,"open_issues_count":1,"forks_count":5,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-10-29T21:03:38.419Z","etag":null,"topics":["artificial-intelligence","big-data","climate-data","climate-forecasting","climate-science","machine-learning","multimodel-ensemble","parallel-computing","predictive-analytics","python","xarray"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kjhall01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-07-15T14:51:04.000Z","updated_at":"2024-10-02T08:04:06.000Z","dependencies_parsed_at":"2024-11-05T23:49:32.716Z","dependency_job_id":null,"html_url":"https://github.com/kjhall01/xcast","commit_stats":{"total_commits":187,"total_committers":4,"mean_commits":46.75,"dds":0.07486631016042777,"last_synced_commit":"650ee3bb2b5b930f02dfb7870e89d4f1180d1a4f"},"previous_names":[],"tags_count":20,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjhall01%2Fxcast","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjhall01%2Fxcast/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjhall01%2Fxcast/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjhall01%2Fxcast/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kjhall01","download_url":"https://codeload.github.com/kjhall01/xcast/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245020313,"owners_count":20548155,"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":["artificial-intelligence","big-data","climate-data","climate-forecasting","climate-science","machine-learning","multimodel-ensemble","parallel-computing","predictive-analytics","python","xarray"],"created_at":"2024-08-01T14:00:42.073Z","updated_at":"2025-10-05T18:23:42.827Z","avatar_url":"https://github.com/kjhall01.png","language":"Jupyter Notebook","funding_links":[],"categories":["Uncategorized","Climate Change"],"sub_categories":["Uncategorized","Climate Data Processing and Analysis"],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkjhall01%2Fxcast","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkjhall01%2Fxcast","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkjhall01%2Fxcast/lists"}