Metadata-Version: 2.4
Name: datatrust
Version: 0.1.0
Summary: Detect untrustworthy, fabricated, or suspicious data in datasets
Home-page: https://github.com/aditya10m/datatrust
Author: Aditya kumar goswami
Author-email: goswamiaditya147@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
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Dynamic: description
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# datatrust 🧠

A Python library to **measure data trustworthiness and detect silent data corruption**.

## Why datatrust?
Most libraries clean data.
**datatrust asks: Can you trust this data at all?**
## License
MIT License


## Installation
```bash
pip install datatrust
