{"library":"scoringrules","type":"library","category":null,"description":"Scoringrules is a Python library for evaluating probabilistic forecasts using various scoring rules. It provides implementations of Continuous Ranked Probability Score (CRPS), Log Score, Brier Score, Dawid-Sebastiani Score, and more for various distributions and ensembles. The current version is 0.9.0, and the library maintains an active development pace with frequent minor releases and occasional breaking changes.","language":"python","status":"active","version":"0.9.0","tags":["statistics","forecasting","probabilistic-modeling","evaluation","scoring-rules"],"install":[{"cmd":"pip install scoringrules","imports":["import scoringrules as sr","import scoringrules.crps as sr_crps","sr.crps.gaussian(observations, mean, std)"]},{"cmd":"pip install scoringrules[torch]","imports":[]},{"cmd":"pip install scoringrules[jax]","imports":[]}],"homepage":null,"github":"https://github.com/frazane/scoringrules","docs":"https://frazane.github.io/scoringrules","changelog":null,"pypi":"https://pypi.org/project/scoringrules/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":63,"avg_install_s":25.7,"avg_import_s":1.31,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scoringrules/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}