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Author:
save-gcp-local contributors
License:
MIT
Summary:
Run Airflow DAGs locally and execute Dataproc/Spark jobs in local Docker instead of creating GCP clusters. Generic, zero DAG edits, pluggable test-data providers.
Latest version:
0.2.1
Optional dependencies:
apache-airflow
|
apache-airflow-providers-google
|
build
|
mkdocs-material
|
numpy
|
pandas
|
pytest
|
ruff
|
sqlalchemy
|
twine
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