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https://github.com/renumics/sliceguard

A library for detecting problematic data segments in structured and unstructured data with few lines of code.
https://github.com/renumics/sliceguard

data-analysis data-cleaning data-curation data-exploration data-science data-visualization deep-learning eda exploratory-data-analysis machine-learning python visualization

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A library for detecting problematic data segments in structured and unstructured data with few lines of code.

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sliceguard


Detect problematic data slices in unstructured and structured data – fast.





## πŸš€ 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:

```python
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:

* πŸ–ΌοΈ **[Unstructured Data (Images, Audio, Text)](https://github.com/Renumics/sliceguard/blob/main/examples/quickstart_unstructured_data.ipynb)** **–** **[πŸ•ΉοΈ Interactive Demo](https://huggingface.co/spaces/renumics/sliceguard-unstructured-data)**
* πŸ“ˆ **[Structured Data (Numerical, Categorical Variables)](https://github.com/Renumics/sliceguard/blob/main/examples/quickstart_structured_data.ipynb)** **–** **[πŸ•ΉοΈ Interactive Demo](https://huggingface.co/spaces/renumics/sliceguard-structured-data)**
* πŸ“Š **[Mixed Data (Contains Both)](https://github.com/Renumics/sliceguard/blob/main/examples/quickstart_mixed_data.ipynb)** **–** **[πŸ•ΉοΈ Interactive Demo](https://huggingface.co/spaces/renumics/sliceguard-mixed-data)**

## πŸ—ΊοΈ Public Roadmap
We maintain a **[public roadmap](https://github.com/Renumics/sliceguard/blob/main/ROADMAP.md)** so you can follow along the development of this library.