{"id":13415296,"url":"https://github.com/arundo/adtk","last_synced_at":"2025-05-14T15:07:36.253Z","repository":{"id":40792467,"uuid":"211204606","full_name":"arundo/adtk","owner":"arundo","description":"A Python toolkit for rule-based/unsupervised anomaly detection in time series","archived":false,"fork":false,"pushed_at":"2024-08-01T11:53:43.000Z","size":24624,"stargazers_count":1150,"open_issues_count":51,"forks_count":154,"subscribers_count":24,"default_branch":"develop","last_synced_at":"2025-04-09T11:03:41.448Z","etag":null,"topics":["anomaly-detection","time-series"],"latest_commit_sha":null,"homepage":"https://adtk.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arundo.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":"2019-09-27T00:34:22.000Z","updated_at":"2025-04-08T06:43:36.000Z","dependencies_parsed_at":"2024-09-30T18:00:42.122Z","dependency_job_id":"8c39ceb9-f29e-4942-8a60-bb1b9f97556f","html_url":"https://github.com/arundo/adtk","commit_stats":{"total_commits":64,"total_committers":11,"mean_commits":5.818181818181818,"dds":0.25,"last_synced_commit":"6041f5b9a41a57263d8988bdc26a2dfc7ad675c2"},"previous_names":[],"tags_count":16,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Fadtk","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Fadtk/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Fadtk/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Fadtk/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arundo","download_url":"https://codeload.github.com/arundo/adtk/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254169735,"owners_count":22026214,"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":["anomaly-detection","time-series"],"created_at":"2024-07-30T21:00:46.701Z","updated_at":"2025-05-14T15:07:36.229Z","avatar_url":"https://github.com/arundo.png","language":"Python","funding_links":[],"categories":["异常检测包","Code-Resource","Python","AI for *Ops","Industrial Materials","时间序列","Industry-strength AD","📦 Packages","Anomaly Detection Software"],"sub_categories":["2020","Observability \u0026 Monitoring with AI","Tools","Python"],"readme":"# Anomaly Detection Toolkit (ADTK)\n\n[![Build Status](https://travis-ci.com/arundo/adtk.svg?branch=master)](https://travis-ci.com/arundo/adtk)\n[![Documentation Status](https://readthedocs.org/projects/adtk/badge/?version=stable)](https://adtk.readthedocs.io/en/stable)\n[![Coverage Status](https://coveralls.io/repos/github/arundo/adtk/badge.svg?branch=master\u0026service=github)](https://coveralls.io/github/arundo/adtk?branch=master)\n[![PyPI](https://img.shields.io/pypi/v/adtk)](https://pypi.org/project/adtk/)\n[![Downloads](https://pepy.tech/badge/adtk)](https://pepy.tech/project/adtk)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)\n\nAnomaly Detection Toolkit (ADTK) is a Python package for unsupervised /\nrule-based time series anomaly detection.\n\nAs the nature of anomaly varies over different cases, a model may not work\nuniversally for all anomaly detection problems. Choosing and combining\ndetection algorithms (detectors), feature engineering methods (transformers),\nand ensemble methods (aggregators) properly is the key to build an effective\nanomaly detection model.\n\nThis package offers a set of common detectors, transformers and aggregators\nwith unified APIs, as well as pipe classes that connect them together into\nmodels. It also provides some functions to process and visualize time series\nand anomaly events.\n\nSee https://adtk.readthedocs.io for complete documentation.\n\n## Installation\n\nPrerequisites: Python 3.5 or later.\n\nIt is recommended to install the most recent **stable** release of ADTK from PyPI.\n\n```shell\npip install adtk\n```\n\nAlternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.\n\n```shell\ngit clone https://github.com/arundo/adtk.git\ncd adtk/\ngit checkout develop\npip install ./\n```\n\n## Examples\n\nPlease see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.\n\nFor more detailed examples of each module of ADTK, please refer to\n[Examples](https://adtk.readthedocs.io/en/stable/examples.html)\nsection in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first to\ndiscuss what you would like to change.\n\nPlease make sure to update unit tests as appropriate.\n\nPlease see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.\n\n\n## License\n\nADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the\n[LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Fadtk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farundo%2Fadtk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Fadtk/lists"}