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Author:
Shivanshu Pandey
Summary:
AI-assisted, human-in-the-loop preprocessing for tabular and time-series data — profile, clean, transform, forecast and export, with a reproducible pipeline, from a notebook or the web.
Latest version:
3.0.0
Required dependencies:
fastapi
|
nest-asyncio
|
numpy
|
openpyxl
|
pandas
|
psutil
|
pyarrow
|
pydantic
|
pydantic-settings
|
python-dotenv
|
python-multipart
|
reportlab
|
scikit-learn
|
scipy
|
sqlalchemy
|
uvicorn
|
xlrd
Optional dependencies:
alembic
|
anthropic
|
boto3
|
build
|
catboost
|
celery
|
eccodes
|
google-generativeai
|
groq
|
httpx
|
lightgbm
|
mistralai
|
onnx
|
openai
|
psycopg2-binary
|
pytest
|
pytest-asyncio
|
redis
|
skl2onnx
|
statsmodels
|
timesfm
|
twine
|
xgboost
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