Metadata-Version: 2.1
Name: birgitta
Version: 0.1.16
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-Content-Type: UNKNOWN
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
Requires-Dist: docopt
Requires-Dist: numpy
Requires-Dist: pyspark
Requires-Dist: mock
Requires-Dist: pandas
Requires-Dist: pyarrow
Requires-Dist: pytest
Requires-Dist: pytest-cov
Requires-Dist: pytest-mock
Requires-Dist: holidays

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.


