{"id":19300191,"url":"https://github.com/mithaystack/scikit-discovery","last_synced_at":"2025-04-22T10:31:36.036Z","repository":{"id":57464401,"uuid":"93891719","full_name":"MITHaystack/scikit-discovery","owner":"MITHaystack","description":"Scikit Discovery: Python Toolkit for Computer-Aided Discovery","archived":false,"fork":false,"pushed_at":"2018-11-07T18:30:39.000Z","size":14098,"stargazers_count":16,"open_issues_count":0,"forks_count":4,"subscribers_count":11,"default_branch":"master","last_synced_at":"2024-10-11T09:19:51.104Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MITHaystack.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-06-09T19:44:55.000Z","updated_at":"2024-01-24T19:46:36.000Z","dependencies_parsed_at":"2022-09-17T14:30:41.505Z","dependency_job_id":null,"html_url":"https://github.com/MITHaystack/scikit-discovery","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2Fscikit-discovery","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2Fscikit-discovery/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2Fscikit-discovery/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2Fscikit-discovery/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MITHaystack","download_url":"https://codeload.github.com/MITHaystack/scikit-discovery/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223893025,"owners_count":17220834,"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":[],"created_at":"2024-11-09T23:14:06.144Z","updated_at":"2024-11-09T23:14:06.870Z","avatar_url":"https://github.com/MITHaystack.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"left\"\u003e\n  \u003cimg alt=\"Scikit Discovery\" src=\"https://github.com/MITHaystack/scikit-discovery/raw/master/skdiscovery/docs/images/skdiscovery_logo360x100.png\"/\u003e\n\u003c/p\u003e\n\n- Explore scientific data with a set of tools for human-guided or automated discovery\n- Design \u0026 configure data processing pipelines\n- Define the parameter ranges for your algorithms, available algorithmic choices, and the framework will generate pipeline instances for you \n- Use automatically perturbed data processing pipelines to create different data products.\n- Easy to use with [scikit-dataaccess](https://github.com/MITHaystack/scikit-dataaccess) for integration of a variety of scientific data sets\n\n\n\u003cp align=\"center\"\u003e\n  \u003cimg alt=\"Scikit Discovery Overview\" src=\"https://github.com/MITHaystack/scikit-discovery/raw/master/skdiscovery/docs/images/skdiscovery_overviewdiag.png\"/\u003e\n\u003c/p\u003e\n\n### Install\n```\npip install scikit-discovery\n```\n\n### Documentation\n\nSee \u003chttps://github.com/MITHaystack/scikit-discovery/tree/master/skdiscovery/docs\u003e\n\n### Contributors\n\nProject lead: [Victor Pankratius (MIT)](http://www.victorpankratius.com)\u003cbr\u003e\nContributors: Cody M. Rude, Justin D. Li, David M. Blair, Michael G. Gowanlock, Evan Wojciechowski, Victor Pankratius\n\n### Acknowledgements\n\nWe acknowledge support from NASA AIST14-NNX15AG84G, NASA AIST16-80NSSC17K0125, NSF ACI-1442997, NSF AGS-1343967, and Amazon AWS computing access support.\n\n## Examples\n\nExample code with complete science case studies are available as Jupyter Notebooks at: \n\n[/MITHaystack/science-casestudies](https://github.com/MITHaystack/science-casestudies)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fscikit-discovery","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmithaystack%2Fscikit-discovery","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fscikit-discovery/lists"}