{"id":18358983,"url":"https://github.com/nannyml/examples","last_synced_at":"2025-07-23T02:05:25.920Z","repository":{"id":105061770,"uuid":"545650693","full_name":"NannyML/examples","owner":"NannyML","description":"A set of examples illustrating some possible use cases for NannyML","archived":false,"fork":false,"pushed_at":"2023-10-20T12:13:50.000Z","size":40835,"stargazers_count":20,"open_issues_count":2,"forks_count":3,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-06T13:37:01.012Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NannyML.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2022-10-04T18:43:55.000Z","updated_at":"2025-03-26T09:04:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"b21d07a8-e7f4-4292-89b7-0879c624c58a","html_url":"https://github.com/NannyML/examples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NannyML/examples","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NannyML%2Fexamples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NannyML%2Fexamples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NannyML%2Fexamples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NannyML%2Fexamples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NannyML","download_url":"https://codeload.github.com/NannyML/examples/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NannyML%2Fexamples/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266604009,"owners_count":23954725,"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","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2024-11-05T22:20:17.528Z","updated_at":"2025-07-23T02:05:20.911Z","avatar_url":"https://github.com/NannyML.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n    \u003cimg src=\"https://raw.githubusercontent.com/NannyML/nannyml/main/media/thumbnail-4.png\"\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://pypi.org/project/nannyml/\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/v/nannyml.svg\" /\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://anaconda.org/conda-forge/nannyml\"\u003e\n        \u003cimg src=\"https://anaconda.org/conda-forge/nannyml/badges/version.svg\" /\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://pypi.org/project/nannyml/\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/pyversions/nannyml.svg\" /\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/nannyml/nannyml/actions/workflows/dev.yml\"\u003e\n        \u003cimg src=\"https://github.com/NannyML/nannyml/actions/workflows/dev.yml/badge.svg\" /\u003e\n    \u003c/a\u003e\n    \u003ca href='https://nannyml.readthedocs.io/en/main/?badge=main'\u003e\n        \u003cimg src='https://readthedocs.org/projects/nannyml/badge/?version=main' alt='Documentation Status' /\u003e\n    \u003c/a\u003e\n    \u003cimg alt=\"PyPI - License\" src=\"https://img.shields.io/pypi/l/nannyml?color=green\" /\u003e\n    \u003cbr /\u003e\n    \u003cbr /\u003e\n    \u003ca href=\"https://www.producthunt.com/posts/nannyml?utm_source=badge-top-post-badge\u0026utm_medium=badge\u0026utm_souce=badge-nannyml\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=346412\u0026theme=light\u0026period=daily\" alt=\"NannyML - OSS\u0026#0032;Python\u0026#0032;library\u0026#0032;for\u0026#0032;detecting\u0026#0032;silent\u0026#0032;ML\u0026#0032;model\u0026#0032;failure | Product Hunt\" style=\"width: 250px; height: 54px;\" width=\"250\" height=\"54\" /\u003e\n    \u003c/a\u003e\n\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cstrong\u003e\n        \u003ca href=\"https://nannyml.com/\"\u003eWebsite\u003c/a\u003e\n        •\n        \u003ca href=\"https://nannyml.readthedocs.io/en/stable/\"\u003eDocs\u003c/a\u003e\n        •\n        \u003ca href=\"https://join.slack.com/t/nannymlbeta/shared_invite/zt-16fvpeddz-HAvTsjNEyC9CE6JXbiM7BQ\"\u003eCommunity Slack\u003c/a\u003e\n    \u003c/strong\u003e\n\u003c/p\u003e\n\n# NannyML examples\n\nThis repository contains some ready-to-run examples, showcasing some ways to run NannyML and integrate \nwith third-party tools. Each example can be run by itself. \n\n## Integration examples\n\n### Drift and performance dashboards in Grafana\n\nThese examples process all model inputs/outputs using the containerized NannyML CLI. \nThe results are stored in a relational database. We read the data from the metrics database and \nvisualize them in two Grafana dashboards.\n\nWe have examples for the following problem types:\n\n- [Binary classification](regression)\n- [Multiclass classification](multiclass_classification)\n- [Regression](regression)\n\n### Incremental drift and performance dashboards in Grafana\n\nThese incremental examples are a slight variation of the previous ones. They will not process all the data at once, \nbut will simulate running NannyML in a scheduled way. \n\nWe have examples for the following problem types:\n\n- [Regression](regression_incremental)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnannyml%2Fexamples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnannyml%2Fexamples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnannyml%2Fexamples/lists"}