Evaluation & Testing

Hypothesis Tests

Julia library for hypothesis testing in statistical analysis.

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

HypothesisTests.jl is a Julia package providing a wide range of hypothesis tests used in statistical inference, making it easier to perform rigorous data analysis and validation.

HypothesisTests.jl stands out as the most comprehensive and well-integrated library for hypothesis testing within the Julia language, offering unparalleled flexibility and performance for statistical analysis.

When it fits — and when it doesn’t

A good fit for

  • Researchers needing a comprehensive set of hypothesis tests for their studies.

  • Data analysts who require robust statistical tools within the Julia ecosystem.

  • Educators teaching statistics and looking for practical examples in code.

Look elsewhere if

  • Projects requiring real-time statistical analysis with minimal latency.

  • Teams working exclusively in languages other than Julia without a need to integrate with its ecosystem.

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

    HypothesisTests.jl is exclusively available in Julia, which may limit its accessibility to developers who do not use or are unfamiliar with the Julia programming language.

  2. 02

    Performance issues with large datasets

    Some hypothesis tests can be computationally intensive and may slow down when processing large datasets, which could impact the efficiency of data analysis workflows.

  3. 03

    Narrow focus on statistical testing

    While comprehensive for hypothesis testing, HypothesisTests.jl does not provide functionalities beyond statistical inference, potentially requiring additional packages or tools for broader data science tasks.

What it does well

  • Wide range of hypothesis tests for statistical analysis.

  • Integration with Julia's ecosystem for seamless data manipulation and visualization.

  • Comprehensive documentation and community support.

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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Set up Hypothesis Tests

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

Open the setup guide →
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