A general framework for synthetic data generation in Python, version 0.5.9, released under an active development cadence. Provides classes and utilities for designing and generating realistic synthetic datasets.
pip install data-designerVerified import paths — ran on the pinned version, not inferred.
Minimal example: define a schema, create a generator, and generate 100 rows of synthetic data.
Update code to use 'add_field' and pass 'num_rows' to 'generate(num_rows=N)'.
Use 'import data_designer' (with underscore) instead of 'import data-designer'.
Define the schema completely before passing it to SyntheticDataGenerator.
No dependency data recorded yet.