Use Spacy NER models to clean personally identifiable information from dirty dirty text.
.. NOTES FOR CREATING A RELEASE: .. .. * bump the version number in scrubadub/init.py .. * update docs/changelog.rst .. * git push .. * create a release https://github.com/LeapBeyond/scrubadub/releases .. * This should trigger a github action to upload to pypi .. * ReadTheDocs.io should see any changes and also rebuild the docs
scrubadub_spacy
scrubadub removes personally identifiable information from text.
scrubadub_spacy is an extension that uses spaCy NLP models to remove personal information from text.
This package contains two extra detectors:
scrubadub_spacy.detectors.SpacyEnityDetector - A detector that uses the spacy NER model to find locations, names, dates and other entities.scrubadub_spacy.detectors.SpacyNameDetector - A detector that uses the spacy NER model and context words to find names in text.For more information on how to use this package see the
scrubadub spacy documentation <https://scrubadub.readthedocs.io/en/develop/names.html#spacy>_
and the scrubadub repository <https://github.com/LeapBeyond/scrubadub>_.
.. image:: https://img.shields.io/github/workflow/status/LeapBeyond/scrubadub_spacy/Python%20package/main :target: https://github.com/LeapBeyond/scrubadub_spacy/actions?query=workflow%3A%22Python+package%22+branch%3Amain :alt: Build Status .. image:: https://img.shields.io/pypi/v/scrubadub_spacy.svg :target: https://pypi.org/project/scrubadub_spacy/ :alt: Version .. image:: https://img.shields.io/pypi/dm/scrubadub_spacy.svg :target: https://pypi.org/project/scrubadub_spacy/ :alt: Downloads .. image:: https://coveralls.io/repos/github/LeapBeyond/scrubadub_spacy/badge.svg?branch=master :target: https://coveralls.io/r/LeapBeyond/scrubadub_spacy :alt: Test Coverage .. image:: https://readthedocs.org/projects/scrubadub/badge/?version=latest :target: https://readthedocs.org/projects/scrubadub/?badge=latest :alt: Documentation Status
LeapBeyond <http://leapbeyond.ai/>_ are excited to be supporting scrubadub with ongoing maintenance and development.
Thanks to all of the contributors who made this package a success, but especially @deanmalmgren <https://github.com/deanmalmgren>, IDEO <https://www.ideo.com/> and Datascope <https://datascopeanalytics.com/>_.
FAQs
Use Spacy NER models to clean personally identifiable information from dirty dirty text.
We found that scrubadub-spacy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.