--- id: apache-airflow-providers-jenkins version: "4.2.6" license: Apache-2.0 license_treatment: permissive maintenance: active --- # apache-airflow-providers-jenkins — Provider package apache-airflow-providers-jenkins for Apache Airflow License: permissive · Maintenance: active · Downloads: 290.6K/mo ## 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 above — verify before relying. Integrates Jenkins CI/CD systems into Apache Airflow workflows, enabling orchestration of Jenkins jobs as Airflow tasks. 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 pip install apache-airflow-providers-jenkins uv add apache-airflow-providers-jenkins poetry add apache-airflow-providers-jenkins ## Installing apache-airflow-providers-jenkins 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. 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' ) Requires an existing Apache Airflow installation (>=2.11.0) and a configured Jenkins connection in Airflow. 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_current - Install friction: low - Maintenance: active - Downloads: 290.6K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags jenkins airflow integration, trigger jenkins jobs from airflow, jenkins provider airflow, ci/cd pipeline orchestration, jenkins task operator airflow, jenkins build automation airflow, airflow jenkins provider, ci-cd-integration, workflow-orchestration, jenkins [View on SkillFed](https://skillfed.io/packages/apache-airflow-providers-jenkins) · [View on PyPI](https://pypi.org/project/apache-airflow-providers-jenkins/)