A tiny (<200 loc) CSV health + anomaly detector
Project description
datasanity
A tiny (<200 lines) CSV health-check + anomaly-detection tool.
It reports:
- Missing value percentages
- Duplicate row count
- Cardinality per column
- Basic anomaly score (z-score > 3)
- Row + column summary
Install
pip install datasanity
Usage
from datasanity import analyze_csv, pretty_report
r = analyze_csv("data.csv")
print(pretty_report(r))
CLI Demo
python run_demo.py
Local Development
To install the package locally for development:
cd datasanity
pip install -e .
Building for Distribution
To create a distributable package:
pip install build
python -m build
This creates .whl and .tar.gz files in the dist/ directory that you can share or upload to PyPI.
Project details
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