Skip to main content

Use the Stanford NER model to clean personally identifiable information from dirty dirty text.

Project description

scrubadub removes personally identifiable information from text. scrubadub_stanford is an extension that uses Stanford’s NER model to remove personal information from text.

This package contains one extra detectors:

  • scrubadub_stanford.detectors.StanfordEntityDetector - A detector that uses the Stanford NER model to find locations, names and organizations.

For more information on how to use this package see the scrubadub stanford documentation and the scrubadub repository.

Build Status Version Downloads Test Coverage Documentation Status

New maintainers

LeapBeyond 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, IDEO and Datascope.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scrubadub_stanford-2.0.0.tar.gz (10.6 kB view hashes)

Uploaded Source

Built Distribution

scrubadub_stanford-2.0.0-py3-none-any.whl (10.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page