Data Anonymization
Showing 8 of 8 projects
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
A Kotlin/JVM library for generating realistic fake data like names, addresses, and banking details for testing and anonymization.
A configuration-based, platform-agnostic tool for anonymizing database data using Faker, with built-in support for Magento 2 and Shopware 6.
Legacy Java-based model-driven tool for generating, anonymizing, and migrating test data for development and testing.
A fast, deterministic MySQL dump anonymizer that preserves referential integrity while anonymizing sensitive data.
An Elixir library for data anonymization directly in Ecto schemas, with support for fields, associations, and embeds.
A Python package for generating multidimensional synthetic data using Copula and fPCA models to preserve statistical properties.
A Magento 2 module that fills empty content fields and replaces real data with dummy content for development and GDPR compliance.
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