Metadata-Version: 1.1
Name: birgitta
Version: 0.1.31
Summary: Pyspark and notebook unit testing, especially focused on Dataiku.
Home-page: https://github.com/telia-oss/birgitta
Author: Telia Norge
Author-email: UNKNOWN
License: MIT
Description: Birgitta is a Python ETL test and schema framework,
        providing automated tests for pyspark notebooks/recipes.
        
        Birgitta allows doing solid ETL and ML, while still liberally
        allowing imperfect notebook code, enabling a
        `DataOps <https://www.dataopsmanifesto.org>` way of
        working which is both solid and agile, not killing
        Data Scientist flexibility by excessive coding standards in notebooks.
        
        In addition to running recipetests on your local dev machine or on
        a CI/CD server, there is support for running recipetests
        as [Dataiku](https://www.dataiku.com] DSS Scenarios.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
