apache-airflow-providers-apache-kylin
Provider package apache-airflow-providers-apache-kylin for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to orchestrate Apache Kylin analytics. The package is actively maintained, carries no security vulnerabilities, and has low install friction. It is production-stable and suitable for teams using both Airflow and Kylin in their data stack.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires apache-airflow >=2.11.0 and kylinpy >2.7.0 to be installed; Python 3.10 or later.
- Low friction install as a pure Python wheel.
- Actively maintained with recent releases; requires apache-airflow >=2.11.0 and kylinpy >2.7.0.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 185,774 downloads/mo, #10,001 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-apache-kylin
from airflow.providers.apache.kylin.operators import KylinOperator
from airflow import DAG
with DAG('kylin_query') as dag:
task = KylinOperator(task_id='run_query')- What specific Kylin operators and hooks are available in this provider version
- Whether Kylin connection configuration is documented for Airflow's connection UI
- Support for Kylin query result handling and downstream task integration patterns
What it is and what it does
This is an Apache Airflow provider package that bridges Kylin OLAP analytics into Airflow's workflow orchestration. It supplies operators, hooks, and connection types for interacting with Apache Kylin clusters from within Airflow DAGs, allowing you to schedule and monitor Kylin queries as part of larger data pipelines.
The package depends on apache-airflow (>=2.11.0), kylinpy (>2.7.0), and apache-airflow-providers-common-compat (>=1.10.1). It is actively maintained, supports Python 3.10 through 3.14, and carries no known vulnerabilities. Installation is straightforward via pip on top of an existing Airflow installation.
Use it for
- Schedule recurring Kylin OLAP queries as part of a data warehouse refresh pipeline in Airflow
- Orchestrate multi-step analytics workflows that query Kylin cubes and pass results to downstream tasks
- Monitor and log Kylin query execution and performance metrics within Airflow's task history
- Integrate Kylin data cube operations into CI/CD or ETL automation workflows managed by Airflow
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 Apache Kylin analytics.
The package is actively maintained, carries no security vulnerabilities, and has low install friction. It is production-stable and suitable for teams using both Airflow and Kylin in their data stack.
Install
apache-airflow-providers-apache-kylin on PyPI
Before you install
Low friction install as a pure Python wheel. Actively maintained with recent releases; requires apache-airflow >=2.11.0 and kylinpy >2.7.0.
Requires apache-airflow >=2.11.0 and kylinpy >2.7.0 to be installed; Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
Quickstart
pip install apache-airflow-providers-apache-kylin
from airflow.providers.apache.kylin.operators import KylinOperator
from airflow import DAG
with DAG('kylin_query') as dag:
task = KylinOperator(task_id='run_query')Verify before relying
- What specific Kylin operators and hooks are available in this provider version
- Whether Kylin connection configuration is documented for Airflow's connection UI
- Support for Kylin query result handling and downstream task integration patterns
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatkylinpy |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 185,774 / month, #10,001 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_apache_kylin-3.10.5-py3-none-any.whl
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See also apache-airflow-providers-segment · kylinpy · apache-airflow-providers-apache-flink · apache-airflow-providers-apache-druid · apache-airflow-providers-arangodb · apache-airflow-providers-apache-pinot · apache-airflow-providers-datadog · apache-airflow-providers-asana · apache-airflow-providers-informatica · gremlinpython