{"library":"pydoe","type":"library","category":null,"description":"PyDOE is a Python package for design of experiments (DOE), enabling scientists, engineers, and statisticians to efficiently construct experimental designs. It provides extensive support for various DOE methods, including factorial, response-surface, and space-filling designs. The project is actively maintained, with a focus on integrating features from its community forks into the main package.","language":"python","status":"active","version":"0.9.9","tags":["DOE","design of experiments","experimental design","statistics","optimization","factorial design","latin hypercube","response surface"],"install":[{"cmd":"pip install pydoe","imports":["from pydoe import ff2n","from pydoe import lhs","from pydoe import ccdesign"]}],"homepage":"https://pydoe.github.io/pydoe/","github":"https://github.com/pydoe/pydoe","docs":"https://pydoe.github.io/pydoe/","changelog":"https://pydoe.github.io/pydoe/changelog/","pypi":"https://pypi.org/project/pydoe/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.4,"avg_import_s":2.89,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pydoe/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}