Factual package intelligence from PyPI
Lets Airflow DAGs run Spark jobs via Livy: sessions and/or batches. Forked from panovvv/airflow-livy-operators and changed python to 3.5
pip install airflow-livy-operators-sexy
PyPI declares 0 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.
airflow-livy-operators-sexy publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .