JSON Schema

Generate synthetic data from JSON Schema

Normalize API-style JSON Schema contracts into Great Generator's existing schema-first engine.

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

Getting started Schema inputs API reference

Quickstart

from great_generator import generate_from_json_schema

json_schema = {
    "type": "object",
    "properties": {
        "customer_id": {"type": "integer"},
        "email": {"type": "string", "format": "email"},
        "status": {"type": "string", "enum": ["ACTIVE", "INACTIVE"]}
    }
}

df = generate_from_json_schema(json_schema, rows=1000)

Supported subset

Top-level object schemas, properties, required fields, scalar types, basic arrays, email/date/date-time formats, enums, and numeric minimum/maximum bounds.

Limitations

Complex composition keywords, external references, recursive schemas, and deep nested object graphs are intentionally not fully supported in this release.

Keep exploring

Schema generationMappings, DDL strings, DataFrames, Spark schemas, and schema-source inputs. SQL DDLCanonical contracts and documented CREATE TABLE parsing. Query-aware generationRequired values, partitions, selectivity, joins, and coverage reports. API referenceMain public APIs and usage patterns.