autorank vs BlueSky Statistics
autorank
sherbold.github.ioBlueSky Statistics
blueskystatistics.comSide by side
| Figure | autorank | BlueSky Statistics |
|---|---|---|
| Price from | Free | $41.25/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 5 |
| Spec score · Statistical Analysis Software | 8.4 (#23) | 8.6 (#12) |
| Data import formats | pandas DataFrame | Excel, CSV, other formats |
| Deployment | desktop | both |
| Free plan | Yes | Yes |
| Purpose | Autorank is a Python package for comparing and ranking multiple paired populations, such as machine learning algorithms evaluated on multiple data sets. | BlueSky Statistics provides data management, statistics, machine learning, visualizations, quality and process engineering, and Six Sigma capabilities. |
| Regression models | No | Yes |
| Scripting support | Yes | Yes |
| Statistical tests | For frequentist analysis, it selects tests based on normality, homogeneity, and the number of populations. | Yes |
| Support | The project invites questions, bug reports, and feature requests through GitHub issues, and welcomes pull requests. | Pro includes priority technical support, and the help center offers installation guides, release notes, user guides, videos, technical advisories, and issue reporting. |
Plans
BlueSky Statistics
- BaseFree
- Pro$495 a year
- BASEFree
- PRO$495 a year
- ENTERPRISEPriced on request
In their own words
autorank
autorank has no write-up on Specifiction yet; its figures are above.
BlueSky Statistics
BlueSky Statistics is a data management and analysis application for statistics, machine learning, visualization, quality and process engineering, and Six Sigma work. It runs on macOS and Windows and supports desktop deployment. Analysts can import Excel, CSV, and other files or paste spreadsheet data into its grid. Analysis options include descriptive and inferential statistics, regression, advanced modeling, survival and longitudinal analysis, power analysis, and design of experiments. Quality workflows include measurement system analysis, gage R&R, process capability, SPC charts, tolerance intervals, and reliability analysis. The application is built around R and Python and includes an R editor for custom scripts. Its machine-learning offering lists more than 50 algorithms across traditional and deep-learning model families. Tables and graphs can be copied to Word, Excel, and PowerPoint; output can be saved in BlueSky format, HTML, R Markdown, or LaTeX. Base is free forever. Pro costs $495 a year and adds a commercial license, priority technical support, premium modules, productivity features, and reproducibility features.