apache-airflow-providers-yandex

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

Provides Apache Airflow integration with Yandex.Cloud services, enabling workflows to interact with Yandex cloud resources and APIs.

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

pip install apache-airflow-providers-yandex

uv add apache-airflow-providers-yandex

poetry add apache-airflow-providers-yandex

Installing apache-airflow-providers-yandex

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.

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.Cloud

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).

Verify 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

Evidence: apache_airflow_providers_yandex-4.5.1-py3-none-any.whl

Keywords: airflow-provider, yandex, airflow, integration

Tags

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