Privacy Dynamics is the fastest, easiest, and most reliable way to create and maintain anonymized copies of production data environments that are suitable for your dev+test, analytics, and preview needs.
Forked from IBM/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
Python
Forked from microsoft/presidio
Context aware, pluggable and customizable data protection and anonymization service for text and images
Go
Forked from pallets/flask
The Python micro framework for building web applications.
Python
Snowflake SQLAlchemy (experimental 2.0 compatible fork)
Context aware, pluggable and customizable data protection and anonymization service for text and images
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