Comprehensive Databricks integration for Apache Airflow with operators, hooks, sensors, and triggers for orchestrating data workflows
—
Quality
Pending
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
{
"name": "tessl/pypi-apache-airflow-providers-databricks",
"version": "7.7.0",
"docs": "docs/index.md",
"describes": "pkg:pypi/apache-airflow-providers-databricks@7.7.1",
"summary": "Comprehensive Databricks integration for Apache Airflow with operators, hooks, sensors, and triggers for orchestrating data workflows"
}Install with Tessl CLI
npx tessl i tessl/pypi-apache-airflow-providers-databricks