Data dictionary

Generate synthetic data from enterprise data dictionaries

Load CSV, YAML, or JSON schema documentation and generate DataFrames through the 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_data_dictionary, load_data_dictionary

schema = load_data_dictionary("data_dictionary.csv")
df = generate_from_data_dictionary("data_dictionary.csv", rows=1000)

Supported fields

column_name, data_type, nullable, description, allowed_values, min, max, unique, primary_key, foreign_key, and pii_class metadata.

Important safety note

pii_class is treated as metadata only. Great Generator creates synthetic data and does not anonymize, mask, de-identify, or transform production records.

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.