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On the recordRead 8 Oct 202624 facts
autorank
autorank · founded 2020
Plans and prices
Autorank
Free
Python package for comparing paired populations
Read 8 Oct 2026 · sherbold.github.io
On the record
- Analysis approaches
- It supports frequentist analysis based on 2006 guidelines and Bayesian analysis based on 2017 guidelines.sherbold.github.io · read 8 Oct 2026
- Analysis methods
- It supports frequentist analysis following 2006 guidelines and Bayesian analysis following 2017 guidelines.sherbold.github.io · read 8 Oct 2026
- API documentation
- The site links to online API documentation for the current master version.sherbold.github.io · read 8 Oct 2026
- Automatic test selection
- It checks normality and homogeneity to select statistical tests and reporting measures for the data.sherbold.github.io · read 8 Oct 2026
- Bayesian analysis
- Its Bayesian approach uses a Bayesian Signed Rank test and a Region of Practical Equivalence (ROPE).sherbold.github.io · read 8 Oct 2026
- Bayesian performance
- The site notes that Bayesian analysis can take seconds or, with many populations, minutes because it is computationally expensive.sherbold.github.io · read 8 Oct 2026
- Data import formats
- pandas DataFramesherbold.github.io · read 23 Sep 2026
- Dependencies
- The implementation uses SciPy, statsmodels, and baycomp for statistical tests.sherbold.github.io · read 8 Oct 2026
- Dependencies used
- The documentation says it uses SciPy, statsmodels, and baycomp for statistical tests.sherbold.github.io · read 8 Oct 2026
- Deployment
- desktopsherbold.github.io · read 23 Sep 2026
- Input format
- The package expects population data in a Pandas dataframe.sherbold.github.io · read 8 Oct 2026
- Input limits
- The documented analysis requires at least five measurements, does not accept NaNs, and is described as reliable only for fewer than 5,000 measurements.sherbold.github.io · read 8 Oct 2026
- Installation
- The package can be installed from PyPI with pip or from the GitHub repository.sherbold.github.io · read 8 Oct 2026
- Intended users
- The project aims to simplify statistical analysis for people who are not statistics experts.sherbold.github.io · read 8 Oct 2026
- License
- Autorank is published under the Apache 2.0 License.sherbold.github.io · read 8 Oct 2026
- Purpose
- Autorank is a Python package for comparing and ranking multiple paired populations, such as machine learning algorithms evaluated on multiple data sets.sherbold.github.io · read 8 Oct 2026
- Regression models
- Nosherbold.github.io · read 23 Sep 2026
- Reporting
- It can generate plots, result tables, and LaTeX reports, including a complete LaTeX document.sherbold.github.io · read 8 Oct 2026
