Side by side
greta vs PyUnfold
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
greta provides an R-centered route to Bayesian and frequentist MCMC modeling, with TensorFlow-backed computation and optional visualization. Plan for its Python dependencies and separate plotting packages when setting it up.
Visit greta Free plan Linux
PyUnfold offers configurable Bayesian unfolding with uncertainty handling and scientific-computing integrations. Its older listed release and lack of regression models are important considerations for new projects.
Visit PyUnfoldThe facts
| greta | PyUnfold | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Not published | Linux |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | greta-dev.github.io | jrbourbeau.github.io |
| On statistical analysis software | #60 of 107 | #56 of 107 |
greta: what it does well
- Free Apache License 2.0 package
- Bayesian and frequentist inference
- Runs on CPUs clusters and GPUs
- Interactive modeling directly in R
- Supports custom R functions and packages
What to know first
- Plotting needs DiagrammeR and igraph
- Python and TensorFlow dependencies are installed
- Usage questions go to the greta forum
- Plotting is unavailable without extra packages
PyUnfold: what it does well
- Free MIT-licensed Python package
- Estimates statistical and systematic uncertainties
- Supports multidimensional unfolding
- Allows custom priors and spline regularization
- Installable with pip or conda
What to know first
- Does not provide regression models
- Linux desktop platform listed
- Latest listed release is from 2018
Alternatives to greta Alternatives to PyUnfold The whole list