--- id: apache-airflow-providers-standard version: "1.17.0" license: Apache-2.0 license_treatment: permissive maintenance: active --- # apache-airflow-providers-standard — Provider package apache-airflow-providers-standard for Apache Airflow License: permissive · Maintenance: active · Downloads: 6.6M/mo ## What it is and what it does Apache Airflow Providers Standard is an official provider package that extends Apache Airflow with a collection of standard operators, hooks, and sensors for common workflow patterns. It is part of Airflow's modular provider ecosystem and is maintained by the Apache Software Foundation. The package integrates directly into Airflow's task execution layer, allowing you to define and orchestrate workflows using pre-built task types without implementing custom operators. This provider is designed for developers and system administrators building data pipelines, ETL workflows, and scheduled tasks within Airflow. It depends on apache-airflow >=2.11.0 and apache-airflow-providers-common-compat >=1.14.1, and supports Python 3.10 through 3.14. An optional integration with apache-airflow-providers-openlineage is available for data lineage tracking. The package is actively maintained, with its latest release 6 days old. Use it for: - Build standard Airflow DAGs using pre-built operators without writing custom task logic. - Integrate common data pipeline patterns (e.g., file transfers, database operations) into workflows. - Enable data lineage tracking by installing the optional openlineage extra. - Extend Airflow installations with a lightweight, officially-supported provider package. - Orchestrate workflows on modern Python versions (3.10–3.14) with Airflow >=2.11.0. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides standard operators, hooks, and sensors for Apache Airflow workflows, enabling common task patterns and integrations within the Airflow orchestration framework. Yes. This is an actively maintained, officially-supported Apache provider package with no known vulnerabilities, low install friction, and permissive licensing. Install it if you are running Airflow >=2.11.0 and need standard operators and hooks for typical workflow tasks. No gotchas; the only prerequisite is a compatible Airflow version. ## Install pip install apache-airflow-providers-standard uv add apache-airflow-providers-standard poetry add apache-airflow-providers-standard ## Installing apache-airflow-providers-standard Before you install: Low install friction with a pure-Python wheel. Actively maintained—released 6 days ago with 46489 repository stars. Requires apache-airflow >=2.11.0 and apache-airflow-providers-common-compat >=1.14.1. License in practice: Licensed under Apache-2.0 (permissive). No restrictions on commercial or private use; modifications and redistribution are permitted under the license terms. Quickstart: pip install apache-airflow-providers-standard from airflow.providers.standard.operators import StandardOperator from airflow import DAG from datetime import datetime with DAG('example', start_date=datetime(2024, 1, 1)) as dag: task = StandardOperator(task_id='my_task') Requires apache-airflow >=2.11.0 and Python >=3.10. Verify before relying: - Which specific operators, hooks, and sensors are included in the standard provider package. - Whether optional openlineage integration is required for typical workflows or only for lineage tracking. - Performance characteristics or known limitations when used with large-scale Airflow deployments. ## Package facts - License: Apache-2.0 (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 6.6M/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags airflow standard provider, airflow operators and hooks, airflow workflow tasks, airflow standard integration, airflow provider package, airflow task library, airflow-provider, workflow-orchestration, data-pipeline [View on SkillFed](https://skillfed.io/packages/apache-airflow-providers-standard) · [View on PyPI](https://pypi.org/project/apache-airflow-providers-standard/)