autorank
The facts below are what the maker publishes about autorank, checked and dated. Our editors have not written about it yet.
Plans and prices
From autorank's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Autorank | Free | Python package for comparing paired populations |
The facts
Each one read from autorank's own pages, with the date it was checked.
Where it runs
- Analysis approaches
- It supports frequentist analysis based on 2006 guidelines and Bayesian analysis based on 2017 guidelines.checked 8 Oct 2026
What it does
- Analysis methods
- It supports frequentist analysis following 2006 guidelines and Bayesian analysis following 2017 guidelines.checked 8 Oct 2026
- API documentation
- The site links to online API documentation for the current master version.checked 8 Oct 2026
- Automatic test selection
- It checks normality and homogeneity to select statistical tests and reporting measures for the data.checked 8 Oct 2026
- Bayesian analysis
- Its Bayesian approach uses a Bayesian Signed Rank test and a Region of Practical Equivalence (ROPE).checked 8 Oct 2026
- Bayesian performance
- The site notes that Bayesian analysis can take seconds or, with many populations, minutes because it is computationally expensive.checked 8 Oct 2026
- Data import formats
- pandas DataFramechecked 23 Sep 2026
- Dependencies
- The implementation uses SciPy, statsmodels, and baycomp for statistical tests.checked 8 Oct 2026
- Dependencies used
- The documentation says it uses SciPy, statsmodels, and baycomp for statistical tests.checked 8 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- Input format
- The package expects population data in a Pandas DataFrame, with each column representing a population and each row a paired measurement.checked 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.checked 8 Oct 2026
- Installation
- The package can be installed from PyPI with pip or from the GitHub repository.checked 8 Oct 2026
- Intended users
- The project aims to simplify statistical analysis for people who are not statistics experts.checked 8 Oct 2026
- License
- Autorank is published under the Apache 2.0 License.checked 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.checked 8 Oct 2026
- Regression models
- Nochecked 23 Sep 2026
- Reporting
- It can generate plots, result tables, and LaTeX reports, including a complete LaTeX document.checked 8 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
- Statistical tests
- For frequentist analysis, it selects tests based on normality, homogeneity, and the number of populations.checked 8 Oct 2026
- Support
- The project invites questions, bug reports, and feature requests through GitHub issues, and welcomes pull requests.checked 8 Oct 2026
- Support and contributions
- The project invites questions, bug reports, and feature requests through GitHub issues and welcomes pull requests.checked 8 Oct 2026
The company
- Founded
- 2020checked 19 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
