datamimic

by rapiddweller · MCP Server · ★ 35

About datamimic

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.

data-generationdata-privacydata-simulationdeterministicfakergdpr-compliantmcpmit-licenseopen-sourcepii

Quick Facts

Stars35
Forks3
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score35.45/100
Last Updated2026-05-22
Created2024-12-09
Platformsmcp, python
Est. Tokens~1040k

Compatible Skills

These tools work well together with datamimic for enhanced workflows:

  • lazy-bird — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • synkro — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • dataops-observability-agents — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is datamimic?

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 35 GitHub stars.

What programming language is datamimic written in?

datamimic is primarily written in Python. It covers topics such as data-generation, data-privacy, data-simulation.

How do I install or use datamimic?

You can find installation instructions and usage details in the datamimic GitHub repository at github.com/rapiddweller/datamimic. The project has 35 stars and 3 forks, indicating an active community.

What license does datamimic use?

datamimic is released under the MIT license, making it free to use and modify according to the license terms.

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