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rigour

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library2.0.3pypypiunverified

Financial crime domain data validation and normalization library. Current version 2.0.3, release cadence irregular.

data payments

pip install rigour

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · RIGOUR

rigour

datapythonv2.0.3

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

validate_email

✓ from rigour import validate_email

✗ from rigour.email import validate_email

Basic usage of email validation and name normalisation.

from rigour.email import validate_email from rigour.names import normalise_company_name result = validate_email('test@example.com') print(result) # True name = normalise_company_name('OpenSanctions GmbH') print(name) # opensanctions gmbh

Debug

Known issues

breakingVersion 2.0 rewrote the entire API with new module names (e.g., rigour.email, rigour.names) and changed function signatures. All code written for 1.x will break.

fix

Use new imports: from rigour.email import validate_email, from rigour.names import normalise_company_name, etc. Check migration guide.

affects: 1.x

deprecatedFunction validate_tax_number now returns a ValidationResult object instead of a boolean. Access .is_valid attribute.

fix

result = validate_tax_number('DE123456789'); valid = result.is_valid

affects: >=2.0

gotchaDate normalisation expects ISO 8601 strings or specific formats; passing arbitrary strings may raise ValueError or return None.

fix

Always pass dates as YYYY-MM-DD or use normalise_date with strict=False for lenient parsing.

affects: >=2.0

gotchaPhone cleaning requires plus-prefixed numbers (E.164). National numbers without country code will be discarded or raise error.

fix

Always include country code (e.g., '+49 30 123456') before calling clean_phone.

affects: >=2.0

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Version history

2.0.3latest on PyPI · released Apr 29, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

24 hits · last 30 days

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OpenAI (training)

Resources

githubhttps://github.com/opensanctions/rigour ↗

packagehttps://pypi.org/project/rigour/ ↗

docshttps://rigour.followthemoney.tech/ ↗