{"library":"scikit-fuzzy","type":"library","category":null,"description":"scikit-fuzzy is a fuzzy logic toolkit for SciPy, providing a robust collection of independently developed and implemented fuzzy logic algorithms. It aims to offer a Pythonic alternative to closed-source fuzzy logic software. The library is currently at version 0.5.0 and receives periodic updates, indicating active maintenance and development.","language":"python","status":"active","version":"0.5.0","tags":["fuzzy logic","scipy","numpy","control systems","AI","machine learning","data science"],"install":[{"cmd":"pip install -U scikit-fuzzy","imports":["import skfuzzy as fuzz","from skfuzzy import control as ctrl","import numpy as np","from matplotlib import pyplot as plt"]},{"cmd":"conda install -c conda-forge scikit-fuzzy","imports":[]}],"homepage":"https://pypi.python.org/pypi/scikit-fuzzy","github":"https://github.com/scikit-fuzzy/scikit-fuzzy","docs":null,"changelog":null,"pypi":"https://pypi.org/project/scikit-fuzzy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scikit-fuzzy/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}