Pyspark and notebook unit testing, especially focused on Dataiku.
Project 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.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size birgitta-0.1.30-py3-none-any.whl (50.0 kB) | File type Wheel | Python version py3 | Upload date | Hashes View hashes |
| Filename, size birgitta-0.1.30.tar.gz (35.8 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
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