{"library":"dcor","type":"library","category":null,"description":"dcor is a Python library that provides efficient implementations of distance correlation and energy statistics, powerful tools for measuring dependence and performing two-sample tests. It supports various statistical tests including independence testing and two-sample testing. Currently at version 0.7, it is actively maintained with regular updates and a focus on numerical stability and performance.","language":"python","status":"active","version":"0.7","tags":["statistics","distance correlation","energy statistics","non-parametric","hypothesis testing","dependence measure"],"install":[{"cmd":"pip install dcor","imports":["from dcor import distance_correlation","from dcor import energy_distance","from dcor import independence_test"]}],"homepage":null,"github":"https://github.com/vnmabus/dcor","docs":"https://dcor.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/dcor/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":10.9,"avg_import_s":41.99,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dcor/compatibility"},"provenance":{"verified_status":"timeout","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}