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whitews committed Oct 8, 2023
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[![DOI](https://zenodo.org/badge/118142261.svg)](https://zenodo.org/badge/latestdoi/118142261) ![Build Status](https://github.com/tommyod/KDEpy/workflows/Python%20CI/badge.svg?branch=master) [![Documentation Status](https://readthedocs.org/projects/kdepy/badge/?version=latest)](http://kdepy.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/KDEpy.svg)](https://badge.fury.io/py/KDEpy) [![Downloads](https://pepy.tech/badge/kdepy)](https://pepy.tech/project/kdepy)
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Want to cite KDEpy in your work? See the [bottom right part of this website](https://zenodo.org/record/2392268) for citation information.
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This Python 3.7+ package implements various kernel density estimators (KDE).
Three algorithms are implemented through the same API: [`NaiveKDE`](https://kdepy.readthedocs.io/en/latest/API.html#naivekde), [`TreeKDE`](https://kdepy.readthedocs.io/en/latest/API.html#treekde) and [`FFTKDE`](https://kdepy.readthedocs.io/en/latest/API.html#fftkde).
The class [`FFTKDE`](https://kdepy.readthedocs.io/en/latest/API.html#fftkde) outperforms other popular implementations, see the [comparison page](https://kdepy.readthedocs.io/en/latest/comparison.html).
**The code is stable and in widespread by practitioners and in other packages.**
**The code is stable and in widespread use by practitioners and in other packages.**

![Plot](https://raw.githubusercontent.com/tommyod/KDEpy/master/docs/source/_static/img/showcase.png)

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