Planned work

Roadmap

Roadmap items are not guarantees. They are visible areas for future contribution and planning.

Great Generator creates synthetic data. It does not anonymize, mask, de-identify, or transform production records.

Getting started API reference GitHub

Near-term ideas

Potential future work includes JSON Schema support, YAML profiles, Pydantic and dataclass adapters, Spark-native query-aware generation, and more quality-tool examples.

Contributions

Issues, discussions, docs examples, recipes, and domain-pack suggestions are useful ways to contribute.

Related documentation

Keep exploring

Getting started with Great GeneratorInstall Great Generator and create synthetic non-production data from schemas, SQL DDL, and related-table definitions for development and testing. API reference overviewReview the main Great Generator public APIs for schema generation, SQL DDL parsing, relational generation, CDC, anomalies, advisors, and exports. Examples and demo workflowsExplore Great Generator examples for schema-based data, SQL DDL, relational tables, Spark and Delta writes, CDC, anomalies, advisors, and MCP usage. GitHub repositorySource code, issues, releases, and project history. PyPI packageInstall Great Generator from Python Package Index.