---
id: apache-airflow-providers-alibaba
version: "3.4.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-alibaba — Provider package apache-airflow-providers-alibaba for Apache Airflow

License: permissive · Maintenance: active · Downloads: 385.3K/mo

## What it is and what it does

This is an Apache Airflow provider package that bridges Alibaba Cloud services into Airflow's workflow orchestration engine. It supplies operators, hooks, and sensors for interacting with Alibaba OSS (object storage), ADB (analytics database), and ODPS (data processing service), allowing you to define and schedule data pipelines that read from, write to, or transform data on Alibaba's cloud infrastructure.

The package is maintained as part of the official Apache Airflow ecosystem and follows Airflow's plugin architecture. It depends on Alibaba's own SDKs (alibabacloud-oss-v2, alibabacloud_adb20211201, alibabacloud_tea_openapi) and pyodps for ODPS connectivity. Installation is straightforward via pip on top of an existing Airflow deployment, and it supports current Python versions (3.10–3.14).

Use it for:

- Schedule and orchestrate data extraction from Alibaba OSS buckets as part of a larger ETL workflow.
- Automate analytics queries against Alibaba ADB (AnalyticDB) on a recurring schedule using Airflow DAGs.
- Build data pipelines that read from or write to Alibaba ODPS (MaxCompute) tables.
- Monitor and trigger Alibaba cloud operations as tasks within a centralized Airflow control plane.
- Integrate Alibaba cloud tasks into multi-cloud or hybrid workflows alongside other Airflow providers.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Alibaba Cloud services (OSS, ADB, ODPS) with Apache Airflow, enabling workflow orchestration and data pipeline tasks on Alibaba's cloud platform.

Yes, if you run Apache Airflow and need to orchestrate Alibaba Cloud workloads. The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive license. It is production-stable and backed by the Apache Foundation. Install only if Airflow >=2.11.0 is already in place and you have Alibaba cloud resources to integrate.

## Install

pip install apache-airflow-providers-alibaba
uv add apache-airflow-providers-alibaba
poetry add apache-airflow-providers-alibaba

## Installing apache-airflow-providers-alibaba

Before you install: Low install friction as a pure-Python wheel. Actively maintained with a release 6 days old and backed by the Apache Airflow project's 46490-star repository. Requires Apache Airflow >=2.11.0 and modern Python (3.10–3.14).

License in practice: Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—standard for Apache Foundation projects.

Quickstart:

pip install apache-airflow-providers-alibaba

from airflow.providers.alibaba.operators.oss import OSSDeleteObjectOperator
from airflow import DAG

with DAG('alibaba_task') as dag:
    delete_task = OSSDeleteObjectOperator(task_id='delete_oss_object')

Requires Apache Airflow >=2.11.0 already installed; Python 3.10 or later.

Verify before relying:

- Specific operators and hooks available beyond OSS, ADB, and ODPS integrations.
- Whether pyodps version constraint (>=0.12.5.1 for Python >=3.13) affects dependency resolution on newer Python versions.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 385.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow alibaba cloud provider, alibaba oss airflow integration, airflow odps connector, alibaba adb airflow, cloud workflow orchestration alibaba, airflow alibaba cloud tasks, airflow-provider, alibaba-cloud, workflow-orchestration

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