{"library":"kdepy","type":"library","category":null,"description":"KDEpy is a Python library for kernel density estimation (KDE). It provides implementations of various KDE methods including naive, convolution, FFT, and tree-based approaches. Current version is 1.1.12. Release cadence is irregular, with updates primarily for compatibility and bug fixes.","language":"python","status":"active","version":"1.1.12","tags":["kernel-density-estimation","statistics","probability","data-analysis","visualization"],"last_verified":"Fri May 01","install":[{"cmd":"pip install kdepy","imports":["from KDEpy import KDE","from KDEpy import FFTKDE","from KDEpy import NaiveKDE","from KDEpy import TreeKDE"]}],"homepage":null,"github":"https://github.com/tommyod/KDEpy","docs":null,"changelog":null,"pypi":"https://pypi.org/project/kdepy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}