{"id":15118736,"url":"https://github.com/pfizer-opensource/scikit-digital-health","last_synced_at":"2026-04-09T03:32:51.275Z","repository":{"id":38685981,"uuid":"264192784","full_name":"pfizer-opensource/scikit-digital-health","owner":"pfizer-opensource","description":"Python package for the processing and analysis of Inertial Measurement Unit Data","archived":false,"fork":false,"pushed_at":"2026-04-08T17:29:46.000Z","size":34732,"stargazers_count":96,"open_issues_count":6,"forks_count":34,"subscribers_count":8,"default_branch":"main","last_synced_at":"2026-04-08T18:35:52.238Z","etag":null,"topics":["actigraphy","imu-sensor","python","sensors","wearables"],"latest_commit_sha":null,"homepage":"https://scikit-digital-health.readthedocs.io/en/latest/index.html","language":"Python","has_issues":false,"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/pfizer-opensource.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-05-15T12:52:41.000Z","updated_at":"2026-03-28T01:35:16.000Z","dependencies_parsed_at":"2024-01-23T20:29:42.420Z","dependency_job_id":"892d0dce-3ed8-4306-a2b2-3d7ea0b1a4f7","html_url":"https://github.com/pfizer-opensource/scikit-digital-health","commit_stats":{"total_commits":3022,"total_committers":4,"mean_commits":755.5,"dds":"0.017538054268696257","last_synced_commit":"45f07aaf1d15138dfb5d4773f78bac6ac052ce4c"},"previous_names":["pfizer-opensource/scikit-digital-health","pfizerrd/scikit-digital-health"],"tags_count":117,"template":false,"template_full_name":null,"purl":"pkg:github/pfizer-opensource/scikit-digital-health","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pfizer-opensource%2Fscikit-digital-health","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pfizer-opensource%2Fscikit-digital-health/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pfizer-opensource%2Fscikit-digital-health/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pfizer-opensource%2Fscikit-digital-health/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pfizer-opensource","download_url":"https://codeload.github.com/pfizer-opensource/scikit-digital-health/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pfizer-opensource%2Fscikit-digital-health/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31584575,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"online","status_checked_at":"2026-04-09T02:00:06.848Z","response_time":112,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":["actigraphy","imu-sensor","python","sensors","wearables"],"created_at":"2024-09-26T01:53:37.286Z","updated_at":"2026-04-09T03:32:51.253Z","avatar_url":"https://github.com/pfizer-opensource.png","language":"Python","funding_links":[],"categories":["Ranked by starred repositories"],"sub_categories":[],"readme":"![skdh_badge](https://github.com/PfizerRD/scikit-digital-health/workflows/skdh/badge.svg)\n\nScikit Digital Health (SKDH) is a Python package with methods for ingesting and analyzing wearable inertial sensor data.\n\n- Documentation: https://scikit-digital-health.readthedocs.io/en/latest/\n- Bug reports: https://github.com/PfizerRD/scikit-digital-health/issues\n- Contributing: https://scikit-digital-health.readthedocs.io/en/latest/src/dev/contributing.html\n\nSKDH provides the following:\n\n- Methods for ingesting data from binary file formats (ie Axivity, GeneActiv)\n- Preprocessing of accelerometer data\n- Common time-series signal features\n- Common time-series/inertial data analysis functions\n- Inertial data analysis algorithms (ie gait, sit-to-stand, sleep, activity)\n\n### Availability\n\n\nSKDH is available on both `conda-forge` and `PyPI`.\n\n```shell\nconda install scikit-digital-health -c conda-forge\n```\n\nor \n\n```shell\npip install scikit-digital-health\n```\n\n\u003e [!WARNING]\n\u003e Windows pre-built wheels are provided as-is, with limited/no testing on changes made to compile extensions for Windows.\n\n\u003e [!NOTE]\n\u003e Windows users may need to install an additional requirement: Microsoft Visual C++ redistributable \u003e14.0. The 2015 version can be found here: https://www.microsoft.com/en-us/download/details.aspx?id=53587\n\n### Build Requirements\n\nAs of 0.9.15, Scikit Digital Health is built using Meson.\n\n\n### Examples\n\nAn example notebook can be found in the examples folder: [SKDH tutorial](examples/skdh_tutorial.ipynb)\nalong with some sample data. The tutorial walks through running individual modules in SKDH,\nthen building up a pipeline, and finally creating a new module.\n\n\n### Citation\n\nIf you use SKDH in your research, please include the following citation:\n\n\u003ca id=\"1\"\u003e[1]\u003c/a\u003e\nL. Adamowicz, Y. Christakis, M. D. Czech, and T. Adamusiak, “SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing,” JMIR mHealth and uHealth, vol. 10, no. 4, p. e36762, Apr. 2022, doi: 10.2196/36762.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpfizer-opensource%2Fscikit-digital-health","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpfizer-opensource%2Fscikit-digital-health","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpfizer-opensource%2Fscikit-digital-health/lists"}