Synthetic Data
Generate synthetic datasets from schemas, real data, or LLM-driven personas. Tabular fit-and-sample (SDV: GaussianCopula, CTGAN, TVAE), Faker/Mimesis schema generation, deterministic PII swap, LLM-driven real-to-synth conversion for unstructured records, and SDMetrics-based quality/privacy evaluation (plus embedding-based leakage checks for text).
Works with: Claude Code (native)
native: this artifact type is that client's own format
Category: Data & Analytics — see all ranked ›
Install (Claude Code):
/plugin marketplace add danielrosehill/Claude-Code-Plugins
/plugin install synthetic-data@danielrosehill- tashan score: 41.0
- Adoption: 1 repos
- Upkeep: 82.0
- Freshness: 100.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 2
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · plugin:danielrosehill/claude-code-plugins/synthetic-data
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Measured 2026-08-05 · scorer s5 · how · something wrong here?