rapiddweller / 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.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Spec-aware form editing. segments and elements rendered as structured forms with mandatory/optional indicators, per-field value suggestions, and inline custom-extension support
- Strict validation against baked spec versions, with segment- and element-level error reporting
- Advisory mode when a spec is unregistered or in draft — editing stays enabled, validation continues as guidance
- Round-trip between the structured form view and the authoritative template text — no fidelity loss
- Download / adjust / upload your own spec. customers can extend or override the baked spec catalogue without waiting for a release
Get started
python -m pip install datamimic-ce- Maintenance
- Active
- Last commit 14 days ago
- Stars
- 116
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 4.3.0
- Released 49 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 74% closed
- 40 still open
- Pull requests
- 305 merged
- 0 waiting
- Releases
- 12
- 6 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Makefile <1%
- PLSQL <1%
- PLpgSQL <1%
Topics
- data-anonymization
- data-generation
- data-masking
- data-privacy
- data-simulation
- deterministic
- gdpr
- mcp
- pci-dss
- pii
- seed
- synthetic-data
Project record
- JobOther AI tools
- StatusListed
- Commits283
- Forks5
- Watching0
- Stars in 28 days+1
- CreatedDec 9, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026