Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Repository
Now included in rigour
Basic Info
- Host: GitHub
- Owner: opensanctions
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://opensanctions.github.io/rigour/names/
- Size: 231 KB
Statistics
- Stars: 151
- Watchers: 19
- Forks: 19
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
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
```python 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:
- A Google Spreadsheet created by OCCRP.
- The ISO 20275: Entity Legal Forms Code List
Wikipedia also maintains an index of types of business entity.
See also
- Clustering in Depth, part of the OpenRefine documentation discussing how to create collisions in data clustering.
- probablepeople, parser for western names made by the brilliant folks at datamade.us.
- The study Developing a Legal Form Classification and Extraction Approach For Company Entity Matching by Kruse et al. (2021) investigates four approaches for identifying and classifying legal forms in company names.
- List of Legal Forms from AnaCredit dataset by ECB (one of the Annexes).
- Transformer-based Entity Legal Form Classification by Arimond et al. (2023).
Owner
- Name: OpenSanctions.org
- Login: opensanctions
- Kind: organization
- Email: info@opensanctions.org
- Location: Germany
- Website: https://www.opensanctions.org
- Repositories: 19
- Profile: https://github.com/opensanctions
OpenSanctions is an international database of persons and companies of political, criminal, or economic interest.
GitHub Events
Total
- Issues event: 3
- Watch event: 7
- Delete event: 1
- Issue comment event: 6
- Push event: 33
- Pull request event: 4
- Create event: 2
Last Year
- Issues event: 3
- Watch event: 7
- Delete event: 1
- Issue comment event: 6
- Push event: 33
- Pull request event: 4
- Create event: 2
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 2
- Total pull requests: 6
- Average time to close issues: 4 months
- Average time to close pull requests: 6 months
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 3.0
- Average comments per pull request: 0.67
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 2
- Pull requests: 5
- Average time to close issues: 4 months
- Average time to close pull requests: 4 months
- Issue authors: 2
- Pull request authors: 2
- Average comments per issue: 3.0
- Average comments per pull request: 0.6
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 3
Top Authors
Issue Authors
- Zinurist (1)
- pudo (1)
Pull Request Authors
- dependabot[bot] (4)
- pudo (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 88,067 last-month
- Total docker downloads: 33,148
- Total dependent packages: 12
- Total dependent repositories: 45
- Total versions: 32
- Total maintainers: 2
pypi.org: fingerprints
A library to generate entity fingerprints.
- Documentation: https://github.com/opensanctions/fingerprints/
- License: The MIT License (MIT) Copyright (c) 2025 OpenSanctions Datenbanken GmbH Copyright (c) 2018 Journalism Development Network, Inc. Copyright (c) 2016 Friedrich Lindenberg Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 1.3.1
published 11 months ago
Rankings
Maintainers (2)
Dependencies
- normality >=2.0.0
- actions/checkout v4 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish master composite