GoKawiilDATAMIMIC — Governed Test Data for Regulated Enterprises
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 PII-aware pseudonymization. The Enterprise Platform adds governed workflows, PII scanning, role-based access, audit logging, scheduling, multi-system execution, and the full operational layer that regulated enterprises require. 👉 Enterprise Platform: datamimic.io | 📘 Docs: docs.datamimic.io | 📅 Book a strategy call: datamimic.io/contact 🤖 AI agent? Start at AGENTS.md and use the project CLI: preserve new intent as model.dm.json , submit an early best attempt via datamimic scaffold ... --format json , repair from the structured issues, declare an expectation per stated requirement, and stop on verified=true . Existing raw XML uses lint plus bounded dry-run.
What is DATAMIMIC?
DATAMIMIC CE is the open-source deterministic data engine at the core of the DATAMIMIC Enterprise Platform. It is usable standalone for synthetic data generation and PII-aware pseudonymization in any local, CI, or agent-driven workflow.
The Enterprise Platform adds the governed workflows, scanners, dashboards, and execution layer that regulated enterprises require for production-scale test-data operations.
Available in CE (this repo):
Generate fully synthetic, deterministic datasets — model-driven, no source data required
fully synthetic, deterministic datasets — model-driven, no source data required Pseudonymize staging/QA exports — deterministic (seeded) or privacy-maximized (non-seeded) field transformation; PII fields identified and modeled manually in the XML pipeline
staging/QA exports — deterministic (seeded) or privacy-maximized (non-seeded) field transformation; PII fields identified and modeled manually in the XML pipeline Execute single-system pipelines against PostgreSQL · MySQL · Oracle · MS SQL · SQLite · MongoDB · CSV · JSON · XML · XLSX · DbUnit · fixed-width ( .fcw )
single-system pipelines against PostgreSQL · MySQL · Oracle · MS SQL · SQLite · MongoDB · CSV · JSON · XML · XLSX · DbUnit · fixed-width ( ) Model behavior — weighted state machines, composite multi-field references, control flow ( <while> , <assert> ), and a scriptable memstore for staged aggregation
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