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Author:
None
License:
MIT
Summary:
Outcome-conformant synthetic data: realistic multi-table test data that hits the revenue curves, rates, and aggregates you declare, exactly. From a sentence, YAML, or your database. No ML model, no real data. MCP server for AI agents.
Latest version:
0.8.1.26
Required dependencies:
click
|
faker
|
jinja2
|
networkx
|
numpy
|
pandas
|
pydantic
|
pyyaml
|
rich
|
scipy
Optional dependencies:
black
|
boto3
|
fastapi
|
groq
|
hypothesis
|
jsonschema
|
kaggle
|
langgraph
|
mcp
|
misata
|
mkdocs-material
|
mypy
|
openai
|
openpyxl
|
plotly
|
psycopg
|
pyspark
|
pytest
|
pytest-benchmark
|
pytest-cov
|
python-multipart
|
ruff
|
scikit-learn
|
sdv
|
simpleeval
|
sqlalchemy
|
streamlit
|
uvicorn
|
weasyprint
|
z3-solver
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