--- id: apache-airflow-providers-jira version: "3.1.0" license: Apache License 2.0 license_treatment: permissive maintenance: active --- # apache-airflow-providers-jira — Provider for Apache Airflow. Implements apache-airflow-providers-jira package License: permissive · Maintenance: active · Downloads: 145.6K/mo ## What it is and what it does This is an Apache Airflow provider package that bridges Airflow workflows with Atlassian Jira. It supplies operators, hooks, and sensors to orchestrate Jira issue management within Airflow DAGs—allowing you to create, query, and manipulate Jira tickets as steps in data pipelines. The package wraps the apache-airflow-providers-atlassian-jira library and integrates it into Airflow's task execution model. The package is in its final release (3.1.0) and is deprecated in favor of the atlassian.jira provider. It requires Airflow 2.2.0 or later and supports Python 3.7–3.10. Installation is straightforward via pip, with optional extras available for full Jira functionality. Use it for: - Trigger Jira issue creation automatically when a data pipeline completes or fails. - Query Jira issues as a sensor to pause or advance workflow steps based on ticket status. - Synchronize issue updates between Jira and external systems as part of orchestrated workflows. - Automate bulk Jira operations (transitions, field updates) on a schedule via Airflow DAGs. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Integrates Apache Airflow with Atlassian Jira, enabling workflow orchestration to create, query, and manage Jira issues as part of data pipelines. Yes, but with strong conditions: install only if you are already running Airflow 2.2+ and need Jira integration. However, be aware this is the final release and deprecated—plan to migrate to the atlassian.jira provider. If starting a new project, use atlassian.jira directly instead. No known security vulnerabilities. ## Install pip install apache-airflow-providers-jira uv add apache-airflow-providers-jira poetry add apache-airflow-providers-jira ## Installing apache-airflow-providers-jira Before you install: Low install friction with a wheel distribution. Maintenance is active, though the package is in its final release (3.1.0) with a deprecation notice directing users to the atlassian.jira provider instead. License in practice: Apache License 2.0 is permissive, allowing commercial use and modification with attribution. Quickstart: pip install apache-airflow-providers-jira from airflow.providers.jira.operators.jira import JiraOperator from airflow import DAG with DAG('jira_dag') as dag: task = JiraOperator(task_id='create_issue') Requires apache-airflow >= 2.2.0 and apache-airflow-providers-atlassian-jira as runtime dependencies. Verify before relying: - Specific Jira API operations supported (create, query, update, transition) beyond the generic 'manage issues' claim. - Whether the deprecation to atlassian.jira provider is a hard migration or a soft transition period. - Compatibility matrix between specific Jira Server/Cloud versions and this provider version. ## Package facts - License: Apache License 2.0 (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 145.6K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags airflow jira integration, jira operator airflow, jira provider airflow, orchestrate jira workflows, airflow jira tasks, jira issue automation, airflow atlassian jira, airflow-provider, jira-integration, workflow-orchestration [View on SkillFed](https://skillfed.io/packages/apache-airflow-providers-jira) · [View on PyPI](https://pypi.org/project/apache-airflow-providers-jira/)