Side by side
4DModeller 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 Linux
4DModeller brings data preparation, visualization, Bayesian modelling, mesh creation, and assessment into one free R-oriented package. Installation and data-structure requirements make it most suitable for users already prepared to work in its documented workflow.
Visit 4DModeller 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
| 4DModeller | PyUnfold | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Linux |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | 4dmodeller.github.io | jrbourbeau.github.io |
| On statistical analysis software | #66 of 106 | #62 of 106 |
4DModeller: what it does well
- Free plan
- Supports spatial and temporal models
- Includes visualization and mesh building
- Bayesian modelling uses INLA and inlabru
- Provides Shiny and R Markdown tools
What to know first
- Requires a recent R version
- INLA and fdmr install from GitHub
- Ubuntu systems may need extra build libraries
- Expects structured tabular input
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 4DModeller Alternatives to PyUnfold The whole list