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ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation

ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation - Published in JOSS (2026)

https://github.com/chrissm23/parallelkde.jl

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    Found 1 DOI reference(s) in JOSS metadata
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    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 4 months ago · JSON representation

JOSS Publication

ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation
Published
March 06, 2026
DOI
Volume 11, Issue 119, Page 9616
Authors
Christian Sustay Martinez ORCID
Center for Functional Protein Assemblies, School of Natural Sciences, Technical University of Munich, Ernst-Otto-Fischer-Str. 8, Garching 85748, Germany
Martin Zacharias ORCID
Center for Functional Protein Assemblies, School of Natural Sciences, Technical University of Munich, Ernst-Otto-Fischer-Str. 8, Garching 85748, Germany
Patrick K. Quoika ORCID
Center for Functional Protein Assemblies, School of Natural Sciences, Technical University of Munich, Ernst-Otto-Fischer-Str. 8, Garching 85748, Germany
Editor
Mehmet Hakan Satman ORCID
Tags
kernel density estimation parallel algorithms Python data science
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Packages

  • Total packages: 1
  • Total downloads:
    • julia 4 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
juliahub.com: ParallelKDE

A Julia package for fast, scalable kernel density estimation with parallel algorithms including our GradePro estimator and other automatic bandwidth selections

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4 Total
Rankings
Dependent repos count: 8.0%
Average: 21.2%
Dependent packages count: 34.4%
Last synced: 4 months ago