Metadata-Version: 2.4
Name: datadriftx
Version: 0.1.0
Summary: Lightweight Big Data drift detection toolkit for large-scale datasets
Author: Jainesh Bharti
Requires-Python: >=3.8
Description-Content-Type: text/markdown

\# DataDriftX



Lightweight, Big Data-focused data drift detection toolkit for comparing datasets without unnecessarily loading entire datasets into memory.



\## Features



\- Numeric data drift detection

\- Categorical data drift detection

\- Missing-value drift detection

\- Drift scoring

\- CSV support

\- JSON reports

\- Low-memory processing

\- Designed for large datasets



\## Planned Formats



\- CSV

\- XLSX

\- JSON

\- JSONL

\- Parquet

\- SQL

\- Streaming data



\## Basic Goal



DataDriftX compares a reference dataset with a new dataset and identifies meaningful changes in the data distribution.



```text

Reference Data

&#x20;     +

&#x20;  New Data

&#x20;     ↓

&#x20; DataDriftX

&#x20;     ↓

Drift Detection

&#x20;     ↓

NO DRIFT / LOW / MEDIUM / HIGH

