apache-airflow-providers-alibaba
Provider package apache-airflow-providers-alibaba for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=2.11.0 already installed; Python 3.10 or later.
- 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.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—standard for Apache Foundation projects.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 385,349 downloads/mo, #7,063 on PyPI
Alternatives
Verify before relying
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')- 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.
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 on this page. Verify before relying on it.
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
apache-airflow-providers-alibaba on PyPI
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).
Requires Apache Airflow >=2.11.0 already installed; Python 3.10 or later.
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')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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesapache-airflowapache-airflow-providers-common-compatalibabacloud-oss-v2alibabacloud_adb20211201alibabacloud_tea_openapipyodps |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 385,349 / month, #7,063 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_alibaba-3.4.0-py3-none-any.whl
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See also apache-airflow-providers-salesforce · apache-airflow-providers-zendesk · apache-airflow-providers-git · apache-airflow-providers-openfaas · apache-airflow-providers-yandex · pyodps · apache-airflow-providers-pinecone · dashscope · apache-airflow-providers-ftp · apache-airflow-providers-neo4j