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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
birgitta-0.1.37.tar.gz
(37.2 kB
view hashes)
Built Distribution
birgitta-0.1.37-py3-none-any.whl
(52.7 kB
view hashes)
Close
Hashes for birgitta-0.1.37-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4fdcb305b7a1c097aff50ef0bc424ef8997a93ad617dac5e7ee5e649e5211e5a |
|
| MD5 | 4dc728db49afe70d6c3ddc19d476b230 |
|
| BLAKE2-256 | 479b7d834c854184e765f5c4857e92790d51cc29548d1923bb0f04943c7de8e5 |