World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps.
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Updated
Nov 25, 2025 - Go
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World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps.
SQL 审核查询平台
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.
Database anonymization and synthetic data generation tool
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.
Never give AI companies your secrets! A local LLM-based privacy filter for LLM users. Seamless integration with your existing AI tools as a Python library / OpenAI SDK replacement / API Gatetway / Web Server.
已经合入(apache/incubator-kyuubi) ACL Management for Apache Spark SQL with Apache Ranger.
Rust derive macro for redacting sensitive data in std::fmt::Debug
Simple yet powerful tool for identifying and anonymizing personal information in various formats.
M.E.D. - A Rust powered command-line data masking, encryption, and decryption tool
A lightweight javascript library for manual data masking
Kotlin library for shuffling lists too big for memory or for ID obfuscation. Using bijective integer permutations with fast cycle-walking hash mixing.
This framework allow users to configure some data masking operations on Salesforce environments.
Supporting utilities to develop web application automation with Selenium.
MCP Proxy with built-in PII redaction & tool filtering
A vue2 component for text annotation and manual data masking
This script generates various types of fake data, such as names, addresses, phone numbers, coordinates, and more, using the Faker library. Users can select the data type and the quantity to generate. The generated data is saved to a JSON file
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