geopolrisk-py
The facts below are what the maker publishes about geopolrisk-py, checked and dated. Our editors have not written about it yet.
Plans and prices
From geopolrisk-py's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| geopolrisk-py | Free | GPL-3.0 software · Python ≥3.10 and <3.12 |
The facts
Each one read from geopolrisk-py's own pages, with the date it was checked.
What it does
- Assessment inputs
- Calculations accept raw materials, years, and countries, with country names or ISO numeric codes; custom regions can also be defined.checked 9 Oct 2026
- Bayesian analysis
- Nochecked 24 Sep 2026
- Bundled data
- The current bundled background database covers source data through 2024.checked 9 Oct 2026
- Calculation outputs
- The workflow calculates GeoPolRisk scores and characterization factors and saves results to Excel and SQLite files.checked 9 Oct 2026
- Data import formats
- Excel files for company trade data; bundled database includes mining production, trade, and governance datachecked 24 Sep 2026
- Deployment
- desktopchecked 24 Sep 2026
- Distribution
- The package is distributed through PyPI, and a conda-forge package is not available.checked 9 Oct 2026
- Intended users
- The library is intended for LCA and comparative risk assessment users analyzing raw-material supply risk for economic units, including companies.checked 9 Oct 2026
- License
- The source code is licensed under GNU GPL version 3.0, while bundled third-party data remain subject to their providers’ terms.checked 9 Oct 2026
- Local data handling
- The package creates a geopolrisk folder in the user's Documents directory for databases and output files.checked 9 Oct 2026
- OpenLCA export
- The library can export importable characterization factors for openLCA, with one sheet per economic unit and year.checked 9 Oct 2026
- Other LCA integrations
- The documentation says SimaPro and Brightway support is coming.checked 9 Oct 2026
- Purpose
- The library implements the GeoPolRisk method to assess raw material supply risk in Life Cycle Assessment and comparative risk assessments.checked 9 Oct 2026
- Regression models
- Nochecked 24 Sep 2026
- Scripting support
- Yeschecked 24 Sep 2026
- Statistical tests
- Nochecked 24 Sep 2026
- Support
- The project directs users to GitHub issues for bug reports and feature requests.checked 9 Oct 2026
- Technical requirements
- Installation requires Python 3.10 or 3.11 and pip; Python 3.12 and later are outside the stated supported range.checked 9 Oct 2026
- Underlying data
- The method uses mining production data, BACI international trade data, and World Bank Worldwide Governance Indicators.checked 9 Oct 2026
The company
- Company analysis
- The package supports company-specific assessment using a spreadsheet of imported material, origin country, quantity, value, and year.checked 9 Oct 2026
Money
- Free plan
- Yeschecked 24 Sep 2026
