Privacy Sherlock - PII Detection and Classification
This Python package helps detect Personally Identifiable Information (PII) in various data sources (e.g., MySQL, Amazon S3, MongoDB) and classifies them into categories (financial, personal, etc.). It supports PII risk assessment and visualization of the data.
Features
- Detects PII using regular expressions.
- Classifies PII into categories like financial and personal.
- Supports data ingestion from MySQL, Amazon S3, and MongoDB.
- Provides a risk score based on the detected PII.
- Visualizes PII distribution using Plotly.
1 maintainer
Metadata
1 maintainer
Release files for PrivacySherlock 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| privacysherlock-0.0.1.tar.gz | 17.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PrivacySherlock-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.0 kB
Release files / privacysherlock-0.0.1.tar.gz
| Download URL | privacysherlock-0.0.1.tar.gz |
|---|---|
| Size | 17.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.10
|
Release files / PrivacySherlock-0.0.1-py3-none-any.whl
| Download URL | PrivacySherlock-0.0.1-py3-none-any.whl |
|---|---|
| Size | 18.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.10
|
