by rapiddweller · MCP Server · ★ 37
DATAMIMIC — 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 📅 Book a strategy call: datamimic.io/contact What is DATAMIMI
| Stars | 37 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.0017209154338/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-07 |
| Created | 2024-12-09 |
| Platforms | mcp, python |
| Est. Tokens | ~22k |
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datamimic is Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic da. It is categorized as a MCP Server with 37 GitHub stars.
datamimic is primarily written in Python. It covers topics such as data-anonymization, data-generation, data-masking.
You can find installation instructions and usage details in the datamimic GitHub repository at github.com/rapiddweller/datamimic. The project has 37 stars and 3 forks, indicating an active community.
datamimic is released under the MIT license, making it free to use and modify according to the license terms.