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Kernel Density

Julia library for kernel density estimation.

Status
Generally available
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

KernelDensity.jl is a JuliaStats package providing tools for non-parametric kernel density estimation. It is useful in statistical analysis and data visualization tasks where understanding the distribution of data points is crucial.

KernelDensity.jl offers a robust set of tools for performing kernel density estimation in Julia, making it an ideal choice for researchers and developers who prioritize flexibility and precision over speed.

When it fits — and when it doesn’t

A good fit for

  • Researchers who need precise density estimation for small to medium-sized datasets

  • Julia developers working on statistical analysis projects that require flexible kernel functions

Look elsewhere if

  • Projects requiring real-time density updates due to computational overhead

  • Large-scale data processing where performance is critical and non-parametric methods are not preferred

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support

    KernelDensity.jl is specific to the Julia programming language, which may limit its accessibility for developers not familiar with or unable to use Julia.

  2. 02

    Small community and limited documentation

    As an open-source package within a niche ecosystem like JuliaStats, KernelDensity.jl might have less comprehensive documentation and fewer user-contributed examples compared to more widely-used libraries in larger ecosystems.

  3. 03

    Performance may degrade with large datasets

    Kernel density estimation can be computationally intensive, especially for large datasets, potentially leading to slow performance or high memory usage.

What it does well

  • Non-parametric kernel density estimation

  • Support for various kernel functions

  • Efficient computation and visualization of densities

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Setup steps, common gotchas and what to check after 30 days.

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