data-privacy-stack / presidio

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.

google / differential-privacy

Google's differential privacy libraries.

kdeldycke / awesome-iam

👤 Identity and Access Management knowledge for cloud platforms

yakhyo / uniface

UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.

GreenmaskIO / greenmask

Database anonymization and test data management

xataio / pgstream

PostgreSQL replication with DDL changes

Rizzo-AI-Academy / rizzo-pii

Local-first privacy guard: anonymize your documents before sharing with LLMs.

vognik / maltego-telegram

🔎 OSINT Maltego Transforms for investigating Telegram channels, groups, and users, including deanonymization via stickers, forwarded messages, similar channels, deleted posts, and more.

serpro69 / kotlin-faker

Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.

ikuV / deident-wasm

Privacy transformation engine for structured datasets — pseudonymization and risk-assessed anonymization for CSV files, driven by a declarative YAML policy.

antifailure / antifailure

A disposable copy of your production stack for every pull request: masked Postgres, contained third-party APIs, and agents that use your app like people.