{"id":16896953,"url":"https://github.com/relf/pydoe3","last_synced_at":"2025-03-22T09:31:47.846Z","repository":{"id":203329244,"uuid":"709347557","full_name":"relf/pyDOE3","owner":"relf","description":"Design of experiments for Python","archived":false,"fork":false,"pushed_at":"2024-04-15T10:10:38.000Z","size":752,"stargazers_count":9,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-04-21T08:06:42.218Z","etag":null,"topics":["design-of-experiments","sampling-methods"],"latest_commit_sha":null,"homepage":"https://pydoe3.readthedocs.io/en/stable","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"clicumu/pyDOE2","license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/relf.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":"2023-10-24T14:33:28.000Z","updated_at":"2024-06-12T14:31:56.678Z","dependencies_parsed_at":null,"dependency_job_id":"b788681f-bb38-4640-af33-df932e07335b","html_url":"https://github.com/relf/pyDOE3","commit_stats":null,"previous_names":["relf/pydoe3"],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/relf%2FpyDOE3","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/relf%2FpyDOE3/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/relf%2FpyDOE3/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/relf%2FpyDOE3/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/relf","download_url":"https://codeload.github.com/relf/pyDOE3/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244937751,"owners_count":20535124,"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":["design-of-experiments","sampling-methods"],"created_at":"2024-10-13T17:34:10.723Z","updated_at":"2025-03-22T09:31:47.489Z","avatar_url":"https://github.com/relf.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"pyDOE3: An experimental design package for python\n=================================================\n\n[![Tests](https://github.com/relf/pyDOE3/actions/workflows/tests.yml/badge.svg)](https://github.com/relf/pyDOE3/actions/workflows/tests.yml)\n[![Documentation](https://readthedocs.org/projects/pydoe3/badge/?version=latest)](https://pydoe3.readthedocs.io/en/latest/?badge=latest)\n[![DOI](https://zenodo.org/badge/709347557.svg)](https://zenodo.org/doi/10.5281/zenodo.10958492)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n\n`pyDOE3` is a fork of the [`pyDOE2`](https://github.com/clicumu/pyDOE2) package\nthat is designed to help the scientist, engineer, statistician, etc., to\nconstruct appropriate experimental designs.\n\nThis fork came to life to solve bugs and issues that remained unsolved in the\noriginal package.\n\nCapabilities\n------------\n\nThe package currently includes functions for creating designs for any\nnumber of factors:\n\n- Factorial Designs\n  - General Full-Factorial (``fullfact``)\n  - 2-level Full-Factorial (``ff2n``)\n  - 2-level Fractional Factorial (``fracfact``)\n  - Plackett-Burman (``pbdesign``)\n  - Generalized Subset Designs (``gsd``)\n- Response-Surface Designs\n  - Box-Behnken (``bbdesign``)\n  - Central-Composite (``ccdesign``)\n- Randomized Designs\n  - Latin-Hypercube (``lhs``)\n  \nSee [Documentation](https://pydoe3.readthedocs.io).\n\nInstallation\n------------\n\n```bash\npip install pyDOE3\n```\n\nCredits\n-------\n\n`pyDOE` original code was originally converted from code by the following\nindividuals for use with Scilab:\n\n- Copyright (C) 2012-2013, Michael Baudin\n- Copyright (C) 2012, Maria Christopoulou\n- Copyright (C) 2010-2011, INRIA, Michael Baudin\n- Copyright (C) 2009, Yann Collette\n- Copyright (C) 2009, CEA, Jean-Marc Martinez\n\n`pyDOE` was converted to Python by the following individual:\n\n- Copyright (c) 2014, Abraham D. Lee\n\nThe following individuals forked `pyDOE` and worked on `pyDOE2`:\n\n- Copyright (C) 2018, Rickard Sjögren and Daniel Svensson\n\nLicense\n-------\n\nThis package is provided under the *BSD License* (3-clause)\n\nReferences\n----------\n\n- [Factorial designs](http://en.wikipedia.org/wiki/Factorial_experiment)\n- [Plackett-Burman designs](http://en.wikipedia.org/wiki/Plackett-Burman_design)\n- [Box-Behnken designs](http://en.wikipedia.org/wiki/Box-Behnken_design)\n- [Central composite designs](http://en.wikipedia.org/wiki/Central_composite_design)\n- [Latin-Hypercube designs](http://en.wikipedia.org/wiki/Latin_hypercube_sampling)\n- Surowiec, Izabella, Ludvig Vikström, Gustaf Hector, Erik Johansson,\nConny Vikström, and Johan Trygg. “Generalized Subset Designs in Analytical\nChemistry.” Analytical Chemistry 89, no. 12 (June 20, 2017): 6491–97.\n\u003chttps://doi.org/10.1021/acs.analchem.7b00506\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frelf%2Fpydoe3","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frelf%2Fpydoe3","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frelf%2Fpydoe3/lists"}