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
Remove personally identifiable information from free text. Sometimes we have additional metadata about the people we wish to anonymize. Other times we don't. This package makes it easy to seamlessly scrub personal information from free text, without compromising the privacy of the people we are trying to protect.
scrubadub
currently supports removing:
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Getting started with scrubadub
is as easy as pip install scrubadub
and
incorporating it into your python scripts like this:
.. code:: pycon
>>> import scrubadub
# My cat may be more tech-savvy than most, but he doesn't want other people to know it.
>>> text = "My cat can be contacted on example@example.com, or 1800 555-5555"
# Replaces the phone number and email addresse with anonymous IDs.
>>> scrubadub.clean(text)
'My cat can be contacted on {{EMAIL}}, or {{PHONE}}'
There are many ways to tailor the behavior of scrubadub
using
different Detectors and PostProcessors <https://scrubadub.readthedocs.io/en/stable/usage.html>
_.
Scrubadub is highly configurable and supports localisation for different languages and regions.
To install scrubadub using pip, simply type::
pip install scrubadub
There are several other packages that can optionally be installed to enable extra detectors.
These scrubadub_address <https://github.com/LeapBeyond/scrubadub_address>
, scrubadub_spacy <https://github.com/LeapBeyond/scrubadub_spacy>
and scrubadub_stanford <https://github.com/LeapBeyond/scrubadub_stanford>
, see the relevant documentation (address detector documentation <https://scrubadub.readthedocs.io/en/latest/addresses.html>
and name detector documentation <https://scrubadub.readthedocs.io/en/latest/names.html>
_) for more info on these as they require additional dependencies.
This package requires at least python 3.6.
For python 2.7 or 3.5 support use v1.2.2 which is the last version with support for these versions.
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/>
_.