{"library":"nevergrad","type":"library","category":null,"description":"Nevergrad is a Python 3.6+ library for performing gradient-free optimization. Developed by Facebook AI Research, it provides a rich collection of optimization algorithms (evolutionary, bandit, Bayesian, etc.) and robust tools for parameter and hyperparameter tuning. It can optimize functions with continuous, discrete, or mixed variable types, even in noisy environments. The library maintains an active development status with regular releases.","language":"python","status":"active","version":"1.0.12","tags":["optimization","gradient-free","hyperparameter tuning","machine learning","evolutionary algorithms","bayesian optimization"],"install":[{"cmd":"pip install nevergrad","imports":["import nevergrad as ng","from nevergrad.optimization import NGOpt","from nevergrad import parametrization as p\nparametrization = p.Instrumentation(...)"]}],"homepage":"https://facebookresearch.github.io/nevergrad/","github":"https://github.com/facebookresearch/nevergrad","docs":null,"changelog":null,"pypi":"https://pypi.org/project/nevergrad/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":14.5,"avg_import_s":5,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/nevergrad/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}