Metadata-Version: 2.1
Name: anonymizePy
Version: 0.1.2
Summary: A PII removal toolkit to help you anonymize your data.
Author-email: "Aussie D. Frost" <ausdfrost@gmail.com>
Project-URL: Homepage, https://github.com/ausdfrost/anonymizePy
Project-URL: Issues, https://github.com/ausdfrost/anonymizePy/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.9.3
Requires-Dist: pandas>=2.1.1
Requires-Dist: regex>=2.5.135
Requires-Dist: spacy>=3.4.4
Requires-Dist: scikit-learn>=0.24.0

# anonymizePy

### 🤔 What is anonymizePy?
As part of a research project, I was working on developing methods to anonymize data for a local crisis response team. I quickly realized the greater potential for an easy (it's only three steps!) tool to allow people of all skill levels to leverage methods such as named entity recognition, regular expressions, and more to anonymize their data. anonymizePy is a tool that allows anyone to anonymize their data.

### How to install anonymizePy

1. Install anonymizePy: `pip install anonymizePy`
2. Install neccecary model: `pip install https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl`

### How to use anonymizePy
Once anonymizePy is installed, you can run [example.py](example.py) to get an idea on how anonymizePy works!
