apache-airflow-providers-jenkins
Provider package apache-airflow-providers-jenkins for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-stable Apache-maintained provider with low install friction, active maintenance, no known vulnerabilities, and permissive licensing. Install it if you run Airflow and need to orchestrate Jenkins jobs; the only prerequisite is an existing Airflow 2.11.0+ installation and a Jenkins server to connect to.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured Jenkins connection in Airflow.
- Low install friction with a pure-Python wheel.
- Maintained actively under Apache governance with recent releases; requires Apache Airflow 2.11.0 or later and python-jenkins 1.8.2 or later.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and open-source projects with minimal restrictions; you must include a copy of the license and notice file.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 290,571 downloads/mo, #7,986 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-jenkins
from airflow.providers.jenkins.operators.jenkins_job_trigger_operator import JenkinsJobTriggerOperator
task = JenkinsJobTriggerOperator(
task_id='trigger_jenkins_job',
job_name='my-jenkins-job',
jenkins_conn_id='jenkins_default'
)- Specific operators and hooks available beyond job triggering (e.g., job status polling, artifact retrieval).
- Whether the package supports Jenkins authentication methods beyond basic HTTP connection.
- Supported Jenkins server versions and compatibility constraints.
What it is and what it does
This is an Apache Airflow provider package that bridges Jenkins CI/CD systems into Airflow's orchestration framework. It supplies operators, hooks, and sensors that allow you to trigger Jenkins jobs, monitor their execution, and integrate build results into Airflow DAGs. The package depends on apache-airflow (>=2.11.0), apache-airflow-providers-common-compat (>=1.10.1), and python-jenkins (>=1.8.2) to communicate with Jenkins servers.
The package is maintained as part of the Apache Airflow project and supports Python 3.10 through 3.14. It is classified as Production/Stable and is actively maintained, with recent releases indicating ongoing support. Use it when you need to orchestrate Jenkins builds as part of larger Airflow workflows, coordinate CI/CD pipelines with data processing tasks, or centralize job scheduling across both systems.
Use it for
- Trigger Jenkins build jobs from Airflow DAGs and wait for completion before proceeding to downstream tasks.
- Orchestrate multi-stage CI/CD pipelines where Jenkins builds feed into data processing or deployment workflows.
- Monitor Jenkins job status and conditionally branch Airflow task execution based on build success or failure.
- Centralize scheduling and logging of Jenkins jobs through Airflow's UI and audit trail.
- Integrate Jenkins artifacts or build metadata into Airflow tasks for downstream consumption.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable Apache-maintained provider with low install friction, active maintenance, no known vulnerabilities, and permissive licensing. Install it if you run Airflow and need to orchestrate Jenkins jobs; the only prerequisite is an existing Airflow 2.11.0+ installation and a Jenkins server to connect to.
Install
apache-airflow-providers-jenkins on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintained actively under Apache governance with recent releases; requires Apache Airflow 2.11.0 or later and python-jenkins 1.8.2 or later.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Jenkins connection in Airflow.
License in practice
Apache-2.0 permissive license allows use in commercial and open-source projects with minimal restrictions; you must include a copy of the license and notice file.
Quickstart
pip install apache-airflow-providers-jenkins
from airflow.providers.jenkins.operators.jenkins_job_trigger_operator import JenkinsJobTriggerOperator
task = JenkinsJobTriggerOperator(
task_id='trigger_jenkins_job',
job_name='my-jenkins-job',
jenkins_conn_id='jenkins_default'
)Verify before relying
- Specific operators and hooks available beyond job triggering (e.g., job status polling, artifact retrieval).
- Whether the package supports Jenkins authentication methods beyond basic HTTP connection.
- Supported Jenkins server versions and compatibility constraints.
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-compatpython-jenkins |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 290,571 / month, #7,986 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_jenkins-4.2.6-py3-none-any.whl
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See also apache-airflow-providers-asana · apache-airflow-providers-microsoft-psrp · apache-airflow-providers-segment · apache-airflow-providers-singularity · apache-airflow-providers-samba · apache-airflow-providers-apache-flink · apache-airflow-providers-zendesk · apache-airflow-providers-apache-livy · apache-airflow-providers-apache-beam · apache-airflow-providers-microsoft-winrm