Metadata-Version: 2.1
Name: pydata-checks
Version: 0.0.8
Summary: Data quality checks that don't suck.
Author-email: Ivan Zhang <ivanzhangofficial@gmail.com>
License: MIT License
        
        Copyright (c) [2023] [Ivan Zhang]
        
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Project-URL: Homepage, https://github.com/SuperiorityComplex/data-checks
Project-URL: Bug Tracker, https://github.com/SuperiorityComplex/data-checks/issues
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
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Requires-Dist: pytz
Requires-Dist: requests
Requires-Dist: six
Requires-Dist: SQLAlchemy
Requires-Dist: typing-extensions
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Requires-Dist: urllib3

# Data Checks
![License](https://img.shields.io/badge/license-MIT-blue.svg) ![Python](https://img.shields.io/badge/python-3.7-blue.svg) 

**Create, schedule, and deploy data quality checks.**

## Overview
Exisiting data observability solutions are painfully static. **data_checks** provides a dynamic data observability framework that allows you to reuse existing Python code and/or write new Python code to define data quality checks that can then be easily scheduled and monitored. Inspired by Python's [unittest](https://docs.python.org/3/library/unittest.html), data_checks allows you to write data quality checks as easily and seamlessly as you would write unittests on your code.


## Getting Started
### Installation
Install the latest version of data_checks using pip:
```bash
pip install pydata-checks
```



See the [documentation](https://github.com/SuperiorityComplex/data_checks/wiki) for more information.
