apache-airflow-providers-jira

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 on this page — 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

apache-airflow-providers-jira on PyPI

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

Evidence: apache_airflow_providers_jira-3.1.0-py3-none-any.whl

Tags

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