{"id":28905088,"url":"https://github.com/bbva/mercury-dataschema","last_synced_at":"2025-06-21T13:06:33.393Z","repository":{"id":156062964,"uuid":"611734378","full_name":"BBVA/mercury-dataschema","owner":"BBVA","description":"Utility package that, given a Pandas DataFrame, it uses the DataSchema class which auto-infers feature types and automatically calculates different statistics depending on the types.","archived":false,"fork":false,"pushed_at":"2025-02-18T12:35:05.000Z","size":660,"stargazers_count":16,"open_issues_count":0,"forks_count":1,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-06-21T13:06:13.058Z","etag":null,"topics":["analytics","data","data-cleaning","data-processing","data-science","feature-engineering"],"latest_commit_sha":null,"homepage":"https://bbva.github.io/mercury-dataschema/","language":"Python","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/BBVA.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-03-09T12:43:58.000Z","updated_at":"2025-04-28T09:11:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"9caf21e6-2c98-4df0-88c5-41b258f3e8d8","html_url":"https://github.com/BBVA/mercury-dataschema","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/BBVA/mercury-dataschema","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBVA%2Fmercury-dataschema","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBVA%2Fmercury-dataschema/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBVA%2Fmercury-dataschema/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBVA%2Fmercury-dataschema/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BBVA","download_url":"https://codeload.github.com/BBVA/mercury-dataschema/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BBVA%2Fmercury-dataschema/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261126474,"owners_count":23113318,"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":["analytics","data","data-cleaning","data-processing","data-science","feature-engineering"],"created_at":"2025-06-21T13:06:13.040Z","updated_at":"2025-06-21T13:06:28.361Z","avatar_url":"https://github.com/BBVA.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbbva%2Fmercury-dataschema","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbbva%2Fmercury-dataschema","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbbva%2Fmercury-dataschema/lists"}