{"id":30833131,"url":"https://github.com/tillbiskup/radiometry","last_synced_at":"2026-01-20T16:39:56.167Z","repository":{"id":282217075,"uuid":"947824359","full_name":"tillbiskup/radiometry","owner":"tillbiskup","description":"Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework ","archived":false,"fork":false,"pushed_at":"2025-07-16T15:59:21.000Z","size":58,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-27T09:58:09.241Z","etag":null,"topics":["bessy","data-processing-and-analysis","eve","good-scientific-practice","metrology","mls","ptb","radiometry","recipe-driven-data-analysis","reproducible-research","reproducible-science","synchrotron"],"latest_commit_sha":null,"homepage":"https://www.radiometry.de/","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/tillbiskup.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"docs/roadmap.rst","authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-03-13T10:00:06.000Z","updated_at":"2025-08-07T05:14:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"042f00ed-bfc1-4337-b6f7-00a59138b87d","html_url":"https://github.com/tillbiskup/radiometry","commit_stats":null,"previous_names":["tillbiskup/radiometry"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tillbiskup/radiometry","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tillbiskup%2Fradiometry","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tillbiskup%2Fradiometry/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tillbiskup%2Fradiometry/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tillbiskup%2Fradiometry/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tillbiskup","download_url":"https://codeload.github.com/tillbiskup/radiometry/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tillbiskup%2Fradiometry/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273761132,"owners_count":25163183,"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":"2025-09-05T02:00:09.113Z","response_time":402,"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":["bessy","data-processing-and-analysis","eve","good-scientific-practice","metrology","mls","ptb","radiometry","recipe-driven-data-analysis","reproducible-research","reproducible-science","synchrotron"],"created_at":"2025-09-06T16:10:11.733Z","updated_at":"2026-01-20T16:39:56.160Z","avatar_url":"https://github.com/tillbiskup.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"==========\nradiometry\n==========\n\n*Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework.*\n\nWelcome! This is radiometry, a Python package for **processing and analysing (synchrotron) radiometry data** in a **reproducible** and mostly **automated** fashion. Currently, it focusses on data obtained at one of the beamlines at **BESSY-II or MLS in Berlin**, mostly operated by the German National Metrology Institute, the `Physikalisch-Technische Bundesanstalt (PTB) \u003chttps://www.ptb.de/\u003e`_.\n\nDue to inheriting from the `ASpecD framework \u003chttps://www.aspecd.de/\u003e`_, all data generated with the radiometry package are **completely reproducible** and have a complete history.\n\n\nFeatures\n========\n\nA list of (planned) features:\n\n* Generalised data model for (synchrotron) radiometry data\n\n* A growing list of general-purpose processing and analysis steps\n\n\nAnd to make it even more convenient for users and future-proof:\n\n* Open source project written in Python (\u003e= 3.7)\n\n* Developed fully test-driven\n\n* Extensive user and API documentation\n\n\nInstallation\n============\n\nTo install the radiometry package on your computer (sensibly within a Python virtual environment), open a terminal (activate your virtual environment), and type in the following::\n\n    pip install radiometry\n\n\nRelated projects\n================\n\nThere is a number of related packages users of the radiometry package may well be interested in, as they have a similar scope, focussing on scientific data analysis and reproducible research.\n\n* `ASpecD \u003chttps://docs.aspecd.de/\u003e`_\n\n  A Python framework for the analysis of spectroscopic data focussing on reproducibility and good scientific practice. The framework the radiometry package is based on, developed by T. Biskup.\n\n* evedataviewer\n\n  A Python package for **graphically inspecting data** contained in EVE files, *i.e.* data **obtained at one of the beamlines at BESSY-II or MLS in Berlin**, mostly operated by the German National Metrology Institute, the `Physikalisch-Technische Bundesanstalt (PTB) \u003chttps://www.ptb.de/\u003e`_.\n\nFinally, don't forget to check out the website on `reproducible research \u003chttps://www.reproducible-research.de/\u003e`_ covering in more general terms aspects of reproducible research and good scientific practice.\n\n\nLicense\n=======\n\nThis program is free software: you can redistribute it and/or modify it under the terms of the **GPLv3 License**. See the file ``LICENSE`` for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftillbiskup%2Fradiometry","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftillbiskup%2Fradiometry","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftillbiskup%2Fradiometry/lists"}