apache-airflow-providers-standard
Provider package apache-airflow-providers-standard for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires apache-airflow >=2.11.0 and Python >=3.10.
- Low install friction with a pure-Python wheel.
- Actively maintained—released 6 days ago with 46489 repository stars.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). No restrictions on commercial or private use; modifications and redistribution are permitted under the license terms.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,489 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,584,714 downloads/mo, #1,884 on PyPI
Alternatives
Verify before relying
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')- 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.
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 on this page. Verify before relying on it.
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
apache-airflow-providers-standard on PyPI
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.
Requires apache-airflow >=2.11.0 and Python >=3.10.
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')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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesapache-airflowapache-airflow-providers-common-compat |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,584,714 / month, #1,884 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_standard-1.17.0-py3-none-any.whl
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See also apache-airflow-providers-common-compat · apache-airflow-providers-http · apache-airflow-providers-oracle · apache-airflow-providers-common-io · apache-airflow-providers-github · apache-airflow-providers-cohere · apache-airflow-providers-elasticsearch · apache-airflow-providers-anomalo · airflow-provider-great-expectations · apache-airflow-providers-apache-pig