alphascore 3.0

AlphaScore v3.0 — Advanced Data Quality Scoring Engine

AlphaScore v3.0

AlphaScore is a Data Quality Scoring Engine that computes a reproducible 0–100 data-quality score for tabular datasets (Pandas DataFrames / CSV / Parquet), produces JSON and HTML reports, and provides a CLI.

Author: Shivam Mishra

Features

• Six-dimension scoring: completeness, uniqueness, validity, consistency, accuracy, integrity
• Customizable weights
• HTML report generation (Jinja2)
• CLI for quick checks
• Simple API for integration

Quickstart

pip install .

import pandas as pd
from alphascore import DataQualityScore

df = pd.read_csv('data.csv')
engine = DataQualityScore(df, name='customers')
res = engine.compute()
print(res['final_score'])
engine.to_html('report.html')

CLI

alphascore data.csv --output report.html