Bayes Toolbox vs JASP
Bayes Toolbox
hyosubkim.github.io
JASP
jasp-stats.orgSide by side
| Figure | Bayes Toolbox | JASP |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Statistical Analysis Software | 7.8 (#52) | 8.7 (#8) |
| Bayesian analysis | Yes | Yes |
| Free plan | Yes | Yes |
| License | The software is distributed for free under the MIT License. | JASP is released under the GNU Affero GPL v3 license, which the download page says guarantees it will always be free. |
| Purpose | Bayes Toolbox is a Python package for running Bayesian analyses through a simple interface. | JASP is a cross-platform statistical software program with a graphical interface for conducting statistical analyses without programming. |
| Support | The project directs users with installation problems or other issues to open a GitHub issue. | For feature requests, installation help, and bug reports, JASP directs users to its GitHub page; it also lists a public forum. |
Plans
In their own words
Bayes Toolbox
Bayes Toolbox has no write-up on Specifiction yet; its figures are above.
JASP
JASP is free desktop statistical software for Linux, macOS, and Windows, designed to run analyses through a graphical interface without programming. It offers standard procedures in both frequentist and Bayesian forms, with modules for descriptives, t-tests, ANOVA, regression, meta-analysis, machine learning, structural equation modeling, survival, and time series. The spreadsheet-style interface uses drag-and-drop controls, and results update as analysis options change. JASP produces APA-formatted output, including tables that can be copied into a word processor, and lets users annotate results. It is integrated with the Open Science Framework and can run without an internet connection. Import formats include CSV, TSV, text, SPSS, SAS, Excel, Stata, and R files, among others. JASP requires a 64-bit operating system, about 4 GB of free disk space, and at least 4 GB of RAM; 8 GB is recommended, with 16 GB or more suggested for large datasets. Android, iOS, and iPadOS devices are not supported. The software uses the GNU Affero GPL v3 license, and its download page says it will remain free.