Side by side
4DModeller vs geopolrisk-py
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
geopolrisk-py offers a focused, free workflow for GeoPolRisk calculations, company spreadsheets, and openLCA exports. Its usefulness depends on the stated Python versions and Linux-based setup.
Visit geopolrisk-pyThe facts
| 4DModeller | geopolrisk-py | |
|---|---|---|
| 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 | geopolrisk-py.readthedocs.io |
| On statistical analysis software | #66 of 106 | #70 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
geopolrisk-py: what it does well
- Free GPL-3.0 software
- Accepts country names or ISO numeric codes
- Imports company data from Excel
- Exports results to Excel and SQLite
- Supports openLCA characterization-factor export
What to know first
- Linux desktop only
- Requires Python 3.10 or 3.11
- Python 3.12 and later unsupported
- No conda-forge package
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