CluGen implements an algorithm for generating multidimensional clusters in Julia.
The Best Hypothesis Tests Alternatives in 2026
Looking for something like Hypothesis Tests? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 21 are open source.
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | CluGen | — | Yes | — |
| 2 | Data Read | — | Yes | — |
| 3 | ClojisR | — | Yes | — |
| 4 | statsmodels | — | Yes | — |
| 5 | MOCluGen | — | Yes | — |
| 6 | Koalas | — | Yes | — |
| 7 | punkpeye/awesome-mcp-servers | — | Yes | — |
| 8 | LDA.js | — | Yes | — |
| 9 | simple-statistics | — | Yes | — |
| 10 | pyclugen | — | Yes | — |
All Hypothesis Tests alternatives
ReadStat.jl is a Julia package that parses data files from Stata, SAS, and SPSS into a ReadStatDataFrame.
ClojisR connects Clojure with R, providing a bridge for statistical work between the two languages.
statsmodels provides statistical modeling and econometrics tools in Python.
MOCluGen implements multidimensional cluster generation for MATLAB and Octave.
Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.
A curated collection of servers implementing the Model Context Protocol.
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
simple-statistics implements descriptive, regression, and inferential statistics in JavaScript.
pyclugen implements the multidimensional cluster generation algorithm in Python.
Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.
Open URLs, files, or executables from command-line tools and scripts with the cross-platform open package.
Add colored output to command-line applications with the yoctocolors package.
Segment Chinese text with jieba, a Python package for natural language processing.
Python package and project management is handled by uv, a Rust-based tool.
DSP.jl provides Julia routines for digital signal processing, including filter design, periodograms, convolution, and window functions.
Julia-language backend combined with the Jupyter interactive environment.
Use Intake, a Python package, to find, load, and share data in data science projects.
Mutahunter provides open-source mutation testing for evaluating software tests.
Voice Lab provides a framework for testing and evaluating voice agents.
Statsmodels
statsmodels.org/stable/index.htmlStatsmodels provides Python tools for inferential statistics, hypothesis testing, and regression.
Awesome CLI provides a command-line tool for browsing and exploring Awesome lists.
DataDeps
github.com/oxinabox/DataDeps.jlDataDeps.jl provides reproducible data setup for scientific work, with a Julia package for fetching and using data dependencies.
GLM
github.com/JuliaStats/GLM.jlGLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
Alternatives to similar tools
What is the best alternative to Hypothesis Tests?
Are there open-source alternatives to Hypothesis Tests?
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