Frontend Frameworks

StatsKit.jl

Statistical tests for Julia.

Status
UnmaintainedNo commits in 1408 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

StatsKit.jl provides a comprehensive set of statistical tests and utilities in the Julia programming language. It is essential for data analysis, hypothesis testing, and other statistical tasks within the Julia ecosystem.

StatsKit.jl stands out as a comprehensive and high-performance library for statistical tests within the Julia programming language, offering seamless integration with other Julia packages.

When it fits — and when it doesn’t

A good fit for

  • Julia developers who need a comprehensive set of statistical tests and utilities for data analysis.

  • Research teams working on projects that require robust statistical methods.

Look elsewhere if

  • Projects requiring real-time statistical computations where performance is critical but not in the Julia ecosystem

  • Teams preferring to use Python or R for their statistical needs

Known weaknesses

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

  1. 01

    Limited documentation and examples

    The official documentation lacks detailed explanations and practical examples, making it difficult for new users to understand how to use various functions effectively.

  2. 02

    Dependence on Julia ecosystem maturity

    StatsKit.jl relies heavily on the broader Julia ecosystem. Any limitations or immaturity in related libraries can indirectly affect StatsKit's performance and functionality.

  3. 03

    Performance issues with large datasets

    While generally fast, StatsKit.jl may experience performance bottlenecks when handling very large datasets, limiting its scalability for big data applications.

  4. 04

    Community size and support

    The community around StatsKit.jl is relatively small compared to more established statistical libraries in other languages like Python's SciPy or R. This can result in slower response times for bug reports and feature requests.

  5. 05

    Complex setup and dependency management

    Setting up StatsKit.jl requires managing multiple dependencies within the Julia ecosystem, which can be complex and error-prone for users not familiar with Julia's package manager (Pkg).

What it does well

  • Comprehensive statistical tests and utilities

  • Integration with the Julia ecosystem for seamless data analysis

  • High-performance computation leveraging Julia's speed

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

How Fast Is It?

Set up StatsKit.jl

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

Open the setup guide →
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