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Author:
Ravi Kiran Pagidi
Summary:
Generate realistic synthetic data from schemas, SQL DDL, JSON Schema, dbt metadata, data dictionaries, relationships, and generation plans for Pandas and Spark.
Latest version:
0.1.8
Required dependencies:
faker
|
numpy
|
pandas
|
pyarrow
|
sqlglot
Optional dependencies:
anthropic
|
black
|
build
|
delta-spark
|
llama-cpp-python
|
mcp
|
mypy
|
openai
|
pandas-stubs
|
pydantic
|
pyspark
|
pytest
|
pytest-cov
|
pyyaml
|
ruff
|
twine
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