{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Provides Redis integration for Apache Airflow, enabling workflows to interact with Redis for caching, messaging, and state management through Airflow operators and hooks.","skillfed_tags":["airflow-provider","redis-integration","workflow-orchestration"],"use_cases":["Cache query results or intermediate workflow data in Redis to speed up repeated Airflow task executions.","Use Redis as a message broker or queue for inter-task communication and coordination within Airflow DAGs.","Store and retrieve workflow state, locks, or distributed counters across multiple Airflow workers.","Monitor Redis operations and health as part of Airflow monitoring and observability workflows.","Integrate Airflow with existing Redis-backed infrastructure for session management or real-time data pipelines."],"what_it_does":"This is an official Apache Airflow provider package that bridges Airflow workflows with Redis, a fast in-memory data store. It supplies operators and hooks that let Airflow tasks read from, write to, and interact with Redis for caching, session storage, message queuing, and distributed state management. The package is part of Airflow's modular provider ecosystem and is maintained by the Apache Airflow project.\n\nThe package depends on Apache Airflow (>=2.11.0), the redis client library (>=4.5.2 with specific version exclusions), and apache-airflow-providers-common-compat for compatibility utilities. It is production-stable, actively maintained, and supports modern Python versions. Installation is straightforward via pip on top of an existing Airflow setup, with optional cross-provider dependencies available for advanced messaging features.","worth_installing":"Yes. This is an official, production-stable Apache Airflow provider with active maintenance, no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to integrate Airflow workflows with Redis for caching, messaging, or state management. Requires an existing Airflow installation (>=2.11.0) and a Redis instance."},"id":"apache-airflow-providers-redis","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-redis","md":"https://skillfed.io/packages/apache-airflow-providers-redis.md","pypi":"https://pypi.org/project/apache-airflow-providers-redis/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-22","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-redis","python_support":"supports_current","summary":"Provider package apache-airflow-providers-redis for Apache Airflow"},"popularity":{"monthly_downloads":1263014,"position":4145,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.5.0"}