data-quality-checker 1.7

A package for automating data quality and integrity checks with optional GPU acceleration using cuDF

DataPilotChecker

Datapilot is a Python package that automates data quality and integrity checks for your dataset. It performs several checks including missing values, duplicate rows, outliers, data type validation, and range validation. The package uses cuDF for GPU acceleration if a compatible GPU is available, and falls back to Dask for parallel processing otherwise.

Installation

Basic Installation

You can install the package via pip:

pip install data_pilot_checker

Installation with GPU Support

To use GPU acceleration with cuDF, you need to set up a compatible environment. Follow these steps:

Create a conda environment with RAPIDS:

conda create -n rapids-24.06 -c rapidsai -c conda-forge -c nvidia \
    rapids=24.06 python=3.11 cuda-version=12.2

Activate the conda environment:

conda activate rapids-24.06

Install DataWhiz in the conda environment:

pip install data_pilot_checker

Check the rapids website for cuDF installation. (https://docs.rapids.ai/install)