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

Julia Jupyter Notebook Submitted 05 November 2025Published 06 March 2026
Review

Editor: @jbytecode (all papers)
Reviewers: @hisacro (all reviews), @mantzaris (all reviews)

Authors

Christian Sustay Martinez (0009-0006-1282-4850), Martin Zacharias (0000-0001-5163-2663), Patrick K. Quoika (0000-0002-6227-5443)

Citation

Martinez et al., (2026). ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation. Journal of Open Source Software, 11(119), 9616, https://doi.org/10.21105/joss.09616

@article{Martinez2026, doi = {10.21105/joss.09616}, url = {https://doi.org/10.21105/joss.09616}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {9616}, author = {Martinez, Christian Sustay and Zacharias, Martin and Quoika, Patrick K.}, title = {ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation}, journal = {Journal of Open Source Software} }
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kernel density estimation parallel algorithms Python data science

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