GreatDataLabs/great-generator

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

Synthetic Data SDK ✨

Generate coherent, synthetic data at scale

Declarative synthetic data for Python. State the facts a dataset must hold (monthly revenue, channel shares, balanced ledgers, foreign keys, state machines) and get multi-table data that holds them exactly, with a DuckDB certificate anyone can rerun. From YAML, SQL DDL or a sentence. CLI and MCP server.

Synthetic Data Engine 💎

Synthetic data generation for tabular data

A novel approach for synthesizing tabular data using pretrained large language models

AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards

Benchmarking synthetic data generation methods.