This release is a pre-release and may not be stable for production use.
Factor Analysis of Information Risk (Open FAIR) model in Python.
This package endeavors to create a simple API for automating the creation of FAIR Monte Carlo risk simulations.
This is based on the terms found in:
Open FAIR™ RISK TAXONOMY (O-RT); and,
Open FAIR™ RISK ANALYSIS (O-RA).
“Open FAIR” is a trademark of the Open Group.
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Release files for pyfair 0.1a13
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyfair-0.1a13.tar.gz | 118.8 kB | Without provenance | Details for pyfair-0.1a13.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyfair-0.1a13-py3-none-any.whl | Python 3 | none | any | Details for pyfair-0.1a13-py3-none-any.whl |
Total release size: 243.4 kB
Release files / pyfair-0.1a13.tar.gz
| Download URL | pyfair-0.1a13.tar.gz |
|---|---|
| Size | 118.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.7
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Release files / pyfair-0.1a13-py3-none-any.whl
| Download URL | pyfair-0.1a13-py3-none-any.whl |
|---|---|
| Size | 124.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.7
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Security for pyfair 0.1a13
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