Side by side
geopolrisk-py vs GPCERF
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
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-py Free plan Self-hosted
GPCERF provides documented Bayesian Gaussian-process workflows for causal exposure analysis. Its archived CRAN status and additional R dependencies are important considerations before adoption.
Visit GPCERFThe facts
| geopolrisk-py | GPCERF | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Self-hosted |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 1 | None |
| Maker | Not published | Not published |
| Website | geopolrisk-py.readthedocs.io | nsaph-software.github.io |
| On statistical analysis software | #70 of 106 | #74 of 106 |
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
GPCERF: what it does well
- Free plan with GPL (>= 3) license
- Provides Gaussian process and nearest-neighbor methods
- Produces pointwise 95% credible bands
- Supports causal exposure-response workflows
- Nearest-neighbor example reports shorter runtime
What to know first
- Archived and removed from CRAN on 2026-01-12
- Examples require the ranger R package
- Installation uses the GitHub develop branch
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