apache-airflow-providers-yandex
Provider package apache-airflow-providers-yandex for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you use Apache Airflow and need to orchestrate Yandex.Cloud workloads. The package is actively maintained, has no known vulnerabilities, carries a permissive license, and integrates cleanly into Airflow. Install friction is low and dependencies are well-specified. Not relevant if you do not use Airflow or have no Yandex.Cloud integration needs.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; yandexcloud version depends on your Python version (0.383.0+ for 3.14, 0.376.0+ for 3.13, 0.328.0+ for <3.13).
- Low friction install as a wheel package.
- Actively maintained with a recent release; requires Apache Airflow >=2.11.0 and modern Python (3.10+).
License · maintenance · safety
Apache-2.0 (permissive) — Apache License 2.0 (permissive) allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,491 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 123,903 downloads/mo, #11,891 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-yandex
from airflow.providers.yandex.operators import YandexCloudOperator
# Use YandexCloudOperator in your DAG to interact with Yandex.Cloud- Which specific Yandex.Cloud services and operations are supported by this provider version.
- Whether authentication to Yandex.Cloud is handled via environment variables, connection objects, or both.
- Availability of example DAGs or documentation for common Yandex.Cloud workflows.
What it is and what it does
This is an Apache Airflow provider package that extends Airflow's orchestration capabilities to work with Yandex.Cloud services. It supplies operators, hooks, and connection types for Yandex.Cloud integration, allowing you to build Airflow DAGs that provision, manage, or query Yandex cloud resources as part of your data pipelines.
The package depends on apache-airflow (>=2.11.0), yandexcloud, yandex-query-client, and grpcio, with version constraints that vary by Python version. It is actively maintained, supports Python 3.10 through 3.14, and carries an Apache 2.0 license. Installation is straightforward via pip on top of an existing Airflow deployment.
Use it for
- Build Airflow DAGs that orchestrate Yandex.Cloud compute, storage, or database operations as workflow steps.
- Integrate Yandex Query (SQL query engine) into Airflow pipelines for data processing and analytics.
- Automate provisioning or configuration of Yandex.Cloud infrastructure through Airflow workflows.
- Monitor and trigger actions on Yandex.Cloud resources as part of larger data engineering pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Apache Airflow and need to orchestrate Yandex.Cloud workloads.
The package is actively maintained, has no known vulnerabilities, carries a permissive license, and integrates cleanly into Airflow. Install friction is low and dependencies are well-specified. Not relevant if you do not use Airflow or have no Yandex.Cloud integration needs.
Install
apache-airflow-providers-yandex on PyPI
Before you install
Low friction install as a wheel package. Actively maintained with a recent release; requires Apache Airflow >=2.11.0 and modern Python (3.10+). Dependency on yandexcloud and grpcio is version-specific by Python version.
Requires Apache Airflow >=2.11.0 and Python >=3.10; yandexcloud version depends on your Python version (0.383.0+ for 3.14, 0.376.0+ for 3.13, 0.328.0+ for <3.13).
License in practice
Apache License 2.0 (permissive) allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
Quickstart
pip install apache-airflow-providers-yandex
from airflow.providers.yandex.operators import YandexCloudOperator
# Use YandexCloudOperator in your DAG to interact with Yandex.CloudVerify before relying
- Which specific Yandex.Cloud services and operations are supported by this provider version.
- Whether authentication to Yandex.Cloud is handled via environment variables, connection objects, or both.
- Availability of example DAGs or documentation for common Yandex.Cloud workflows.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesapache-airflowyandexcloudyandex-query-clientapache-airflow-providers-common-compatgrpcio |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 123,903 / month, #11,891 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_yandex-4.5.1-py3-none-any.whl
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See also apache-airflow-providers-salesforce · yandexcloud · apache-airflow-providers-tableau · yandex-query-client · apache-airflow-providers-git · apache-airflow-providers-asana · apache-airflow-providers-github · apache-airflow-providers-cohere · apache-airflow-providers-alibaba · apache-airflow-providers-zendesk