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fingerprints

UPDATE 2025-05: the next generation of the fingerprints codebase is now included in rigour. See the documentation here: https://opensanctions.github.io/rigour/names/. This library is now UNMAINTAINED.

This library helps with the generation of fingerprints for entity data. A fingerprint in this context is understood as a simplified entity identifier, derived from it's name or address and used for cross-referencing of entity across different datasets.

Usage

import fingerprints

fp = fingerprints.generate('Mr. Sherlock Holmes')
assert fp == 'holmes sherlock'

fp = fingerprints.generate('Siemens Aktiengesellschaft')
assert fp == 'ag siemens'

fp = fingerprints.generate('New York, New York')
assert fp == 'new york'

Company type names

A significant part of what fingerprints does it to recognize company legal form names. For example, fingerprints will be able to simplify Общество с ограниченной ответственностью to ООО, or Aktiengesellschaft to AG. The required database is based on two different sources:

Wikipedia also maintains an index of types of business entity.

See also

Release files for fingerprints 1.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for fingerprints 1.3.1
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fingerprints-1.3.1-py3-none-any.whl Python 3 none any Details

Release files / fingerprints-1.3.1-py3-none-any.whl

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