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.
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#3257 · +5 · 1d ·GitHub
Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. 0 SDK.
#8015 · +0 · 1d ·GitHub
A control plane for the layer where cloud-native data pipelines actually break: not the application logic, but the orchestration around it. Four mechanisms, each useful alone, built to be operated together.
> This repository contains the DATAMIMIC Community Edition (CE). MIT-licensed, Python-native, MCP-ready. > > CE is fully usable standalone for deterministic synthetic data generation and model-based pseudonymization.
Evals and guardrails for agents, using Jev-style decision models instead of an LLM judge.