rigour

Data cleaning and validation functions for processing various types of text emanating and describing the business world. This applies to human and company names, language, territory and country codes, corporate and tax identifiers, etc.

The underlying idea is that handling these sorts of descriptors is easy on first glance, but reveals a dizzying set of complexity when carried into production. This is why rigour consolidates implementations that have already met some edge cases and are well-tested.

Installing rigour

You can grab the latest release from PyPI:

pip install -U rigour

Usage & documentation

See: https://rigour.followthemoney.tech/

Acknowledgements

The address formatting database contained in rigour/data/addresses/formats.yml is derived from worldwide.yml in the OpenCageData address-formatting repository. It is used to format addresses according to customs in the country that is been encoded.

rigour consolidates and includes a set of older Python libraries into a single codebase: languagecodes, pantomime, fingerprints. The development of these libraries was funded by OCCRP as part of the Aleph software project.

License

MIT. See LICENSE.

Project links

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Credits

Author: OpenSanctions

GitHub Statistics

Data verified by PyPI on Jul 30, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.10

Provides Extra

dev docs

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