auditflow 1.0.0

A Python package to generate visual data quality audits.

auditflow

auditflow is a lightweight, plug-and-play Python package that generates automated visual data quality audits for any tabular dataset (CSV or DataFrame). It's built with simplicity and real-world analytics workflows in mind.

What It Does

• Detects missing values and visualizes them
• Highlights skewed numeric distributions
• Flags duplicates, constant columns, and high-cardinality categoricals
• Calculates memory usage and correlation heatmaps
• Auto-generates a clean HTML report with embedded visuals (no folders required)
• Writes a human-readable summary as a text report

Perfect for:

• Quick data onboarding
• Exploratory Data Analysis (EDA)
• Data validation in consulting and internal audit workflows

Installation

pip install auditflow

Usage

from auditflow import run_audit
run_audit("your_dataset.csv")

Outputs:

• audit_report.html: portable report with embedded visuals
• audit_summary.txt: quick-glance data health insights