Give it a data schema (many compound types supported, including recursive types), an encoding (JSON, CSV or ClickHouse) and a target (a file or a Kafka partition) and a data rate and it will generate a reasonably optimized (native code) random data source.

See the top of the README for some examples.

If you have any ideas on how to extend this tool so that it's useful to more people, please let me know.