{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"hyppo provides multivariate hypothesis testing for high-dimensional and nonlinear data, implementing both classical and novel statistical tests in Python.","skillfed_tags":["statistical-testing","multivariate-analysis","hypothesis-testing"],"use_cases":["Test independence between variables in high-dimensional datasets across multiple fields.","Validate nonlinear relationships in multivariate data where standard correlation is insufficient.","Compare statistical test results using multiple hypothesis testing methods on the same data.","Conduct exploratory data analysis when you need to detect associations in complex, multi-variable systems.","Implement novel independence tests documented in recent statistical literature not yet in mainstream packages."],"what_it_does":"hyppo is a Python library for multivariate hypothesis testing, designed to handle high-dimensional and nonlinear data where traditional univariate tests fall short. It implements a range of independence tests and other statistical procedures, including some novel methods not available in other packages. The library targets researchers and practitioners who need to test relationships between multiple variables simultaneously, filling a gap where R libraries exist but lack consistent interfaces or Python availability.\n\nThe package depends on core scientific Python tools (numpy, scipy, scikit-learn, statsmodels, numba, autograd, pandas, patsy, future) and is maintained actively. It runs on Python 3.8 through 3.14 and is in Alpha status, meaning the API may still evolve but the core functionality is usable for research and analysis work.","worth_installing":"Yes, if you need multivariate hypothesis testing for high-dimensional or nonlinear data. The package is actively maintained, has low install friction, carries a permissive MIT License, and fills a real gap in Python's statistical testing landscape. Alpha status indicates the API may evolve, so verify that the specific tests you need are documented and validated for your use case."},"id":"hyppo","links":{"html":"https://skillfed.io/packages/hyppo","md":"https://skillfed.io/packages/hyppo.md","pypi":"https://pypi.org/project/hyppo/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-05-24","license_spdx":null,"license_treatment":"permissive","name":"hyppo","python_support":"unspecified","summary":"A comprehensive independence testing package"},"popularity":{"monthly_downloads":155613,"position":10807,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.2"}