Factual package intelligence from PyPI

save-gcp-local 0.2.1 package intelligence

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.

pip install save-gcp-local

Current version
0.2.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
61.2 KiB
Release history
3 releases with files
Median release cadence
0 days

save-gcp-local dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

save-gcp-local publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .