Metadata-Version: 2.1
Name: kedro-great
Version: 0.1.4
Summary: Kedro Great makes integrating Great Expectations with Kedro easy!
Home-page: https://github.com/tamsanh/kedro-great.git
Author: Tam-Sanh Nguyen
Author-email: tamsanh@gmail.com
License: MIT
Description: # Kedro Great
        
        As Seen on DataEngineerOne
        
        <p align="center">
          <img width="255" src="https://github.com/tamsanh/kedro-great/blob/master/images/great.png">
        </p>
        
        
        Kedro Great is an easy-to-use plugin for kedro that makes integration with Great Expectations fast and simple.
        
        Hold yourself accountable to [Great Expectations](https://github.com/great-expectations/great_expectations).  
        Never have fear of data silently changing ever again.
        
        ## Quick Start
        
        ### Installation
        
        Kedro Great is available on pypi, and is installed with [kedro hooks](https://kedro.readthedocs.io/en/latest/04_user_guide/15_hooks.html).
        
        #### Command Line
        
        Install the kedro-great pypi package
        
        ```console
        pip install kedro-great
        ```
        
        Use the new `kedro great` command to initialize a Great Expectations project and to generate datasources and validations based on the `catalog.yml`
        ```console
        kedro great init
        ```
        
        #### KedroContext
        
        Add the `KedroGreat` hook to your project context, allowing your pipeline to automatically run validation tests as your pipeline runs.
        
        ```python
        from kedro_great import KedroGreat
        
        
        class ProjectContext(KedroContext):
            hooks = (
                KedroGreat(),
            )
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
