{"library":"emcee","type":"library","category":null,"description":"emcee is an MIT licensed pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It is a widely used toolkit for Bayesian parameter estimation in scientific fields, particularly astronomy, and maintains an active release cadence with minor updates and bug fixes. [3, 6, 9]","language":"python","status":"active","version":"3.1.6","tags":["MCMC","sampling","Bayesian inference","statistics","astronomy","physics"],"last_verified":"Sun May 24","install":[{"cmd":"pip install emcee","imports":["import emcee","from emcee import EnsembleSampler"]}],"homepage":"https://emcee.readthedocs.io","github":"https://github.com/dfm/emcee","docs":null,"changelog":null,"pypi":"https://pypi.org/project/emcee/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.6,"avg_import_s":0.29,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/emcee/compatibility"}}