aibvf
AI BVF v1.0 — open protocol for scoring AI investments. Python implementation.
pip install aibvf
Validate a portfolio
from aibvf import validate
import json
portfolio = json.load(open('my-portfolio.json'))
result = validate(portfolio)
if not result['valid']:
for err in result['errors']:
print(f"{err['path']}: {err['msg']}")
Score an initiative
from aibvf import score
r = score(
industry='manufacturing',
revenue_eur=2_400_000_000,
function='supply',
ai_tier='gen2',
readiness='traditional',
scores={
'strategic_alignment': 72,
'financial_return': 64,
'change_enablement': 48,
'governance_risk': 35,
},
)
print(r['classification']) # 'Fix'
print(r['net_low_eur']) # ~75.6M
print(r['net_high_eur']) # ~247M
Spec
Full specification at https://bvf-app.vercel.app/protocol.
License
MIT. Underlying specification is CC-BY-4.0.
1 maintainer
Metadata
1 maintainer
Release files for aibvf 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| aibvf-0.2.0.tar.gz | 8.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aibvf-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.9 kB
Release files / aibvf-0.2.0.tar.gz
| Download URL | aibvf-0.2.0.tar.gz |
|---|---|
| Size | 8.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.10
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Release files / aibvf-0.2.0-py3-none-any.whl
| Download URL | aibvf-0.2.0-py3-none-any.whl |
|---|---|
| Size | 10.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.10
|
Security for aibvf 0.2.0
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