by rapiddweller · MCP Server · ★ 116
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 datasets for finance, healthcare, and other regulated environments.
| Stars | 116 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 35.3/100 |
| Open Issues | 10 |
| Last Updated | 2026-10-19 |
| Created | 2024-12-09 |
| Platforms | mcp, python |
| Est. Tokens | ~1022k |
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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 116 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 116 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.