Financial crime domain data validation and normalization library.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
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 details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file rigour-1.7.2-py3-none-any.whl.
File metadata
- Download URL: rigour-1.7.2-py3-none-any.whl
- Upload date:
- Size: 4.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e57c421f76df12f17aad89be7887f699deac97b9797b5e0fd92a8d13a2d9cc4
|
|
| MD5 |
587a14701cc5cff5df7b23050d36d844
|
|
| BLAKE2b-256 |
71c00513b78edc3dba488309b54250555ccb6e6fc61622ea3eea8519fafcdc5b
|
Provenance
The following attestation bundles were made for rigour-1.7.2-py3-none-any.whl:
Publisher:
build.yml on opensanctions/rigour
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
rigour-1.7.2-py3-none-any.whl -
Subject digest:
1e57c421f76df12f17aad89be7887f699deac97b9797b5e0fd92a8d13a2d9cc4 - Sigstore transparency entry: 936548117
- Sigstore integration time:
-
Permalink:
opensanctions/rigour@db485f084f816a6d12103017cfebaacf283fa627 -
Branch / Tag:
refs/tags/v1.7.2 - Owner: https://github.com/opensanctions
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
build.yml@db485f084f816a6d12103017cfebaacf283fa627 -
Trigger Event:
push
-
Statement type:
