Awesome
<p align="center"><a href="https://github.com/Renumics/sliceguard"><img src="https://github.com/Renumics/sliceguard/raw/main/static/img/sliceguard.svg" alt="Sliceguard Logo" height="80"/></a></p> <h1 align="center">sliceguard</h1> <p align="center">Detect problematic data slices in unstructured and structured data – fast.</p> <p align="center"> <a href="https://pypi.org/project/sliceguard/"><img src="https://img.shields.io/pypi/pyversions/sliceguard" height="20"/></a> <a href="https://pypi.org/project/sliceguard/"><img src="https://img.shields.io/pypi/wheel/sliceguard" height="20"/></a> <a href="https://sliceguard.readthedocs.io/en/latest/index.html"><img src="https://readthedocs.org/projects/sliceguard/badge/?version=latest&style=flat" height="20"></a> </p> <p align="center"><img src="https://github.com/Renumics/sliceguard/raw/main/static/img/sliceguard_github.gif" width="100%"/><img src="https://github.com/Renumics/sliceguard/raw/main/static/img/dropshadow.png" width="100%"/></p>🚀 Introduction
Sliceguard helps you to quickly discover problematic data segments. It supports structured data as well as unstructured data like images, text or audio. Sliceguard generates an interactive report with just a few lines of code:
from sliceguard import SliceGuard
sg = SliceGuard()
issues = sg.find_issues(df, features=["image"])
sg.report()
⏱️ Quickstart
Install sliceguard by running pip install sliceguard[all].
Go straight to our quickstart examples for your use case:
- 🖼️ Unstructured Data (Images, Audio, Text) – 🕹️ Interactive Demo
- 📈 Structured Data (Numerical, Categorical Variables) – 🕹️ Interactive Demo
- 📊 Mixed Data (Contains Both) – 🕹️ Interactive Demo
🗺️ Public Roadmap
We maintain a public roadmap so you can follow along the development of this library.