Side by side
Bayes Toolbox vs COINr
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMac
Bayes Toolbox combines common Bayesian model types with utilities, tutorials, and outputs suited to PyMC and ArviZ workflows. Verify Python compatibility and model assumptions before installation.
Visit Bayes Toolbox Free plan MacWindows
COINr provides a broad workflow for constructing, analysing, and presenting composite indicators. Its R-based setup and stated learning curve may require preparation before use.
Visit COINrThe facts
| Bayes Toolbox | COINr | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac | Mac, Windows |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 1 | None |
| Maker | Not published | Not published |
| Website | hyosubkim.github.io | bluefoxr.github.io |
| On statistical analysis software | #65 of 106 | #69 of 106 |
Bayes Toolbox: what it does well
- Free under the MIT License
- Covers regression and ANOVA-style models
- Returns PyMC and ArviZ objects
- Includes notebooks and tutorials
- Supports Jupyter kernel setup
What to know first
- Pip installation fails on Python 3.12 or newer
- Models mostly use diffuse priors
- Requires Aesara, ArviZ, NumPy, pandas, and PyMC
COINr: what it does well
- Free R package for composite indicators
- Flexible aggregation levels and indicator counts
- Manual, PCA, and correlation-optimised weighting
- Global uncertainty and sensitivity analysis
- Excel export and COIN Tool import
What to know first
- Requires R version 4.0.0 or later
- No statistical tests listed
- No regression models listed
- Requires reading and learning
Alternatives to Bayes Toolbox Alternatives to COINr The whole list