---
id: apache-airflow-providers-atlassian-jira
version: "3.3.5"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-atlassian-jira — Provider package apache-airflow-providers-atlassian-jira for Apache Airflow

License: permissive · Maintenance: active · Downloads: 1.0M/mo

## What it is and what it does

This is an Apache Airflow provider package that integrates Jira into Airflow workflows. It wraps atlassian-python-api and exposes Jira operations as Airflow operators and hooks, allowing you to orchestrate Jira tasks within DAGs. The package is production-stable and actively maintained as part of the Apache Airflow ecosystem.

You install it on top of an existing Airflow installation (>=2.11.0) and then import operators and hooks from the airflow.providers.atlassian.jira namespace to create tasks that interact with Jira. It depends on apache-airflow, apache-airflow-providers-http, apache-airflow-providers-common-compat, and atlassian-python-api (>3.41.10) to handle the actual Jira API communication.

Use it for:

- Create Jira issues automatically from Airflow DAG tasks when data pipelines complete or fail.
- Query Jira for issues matching criteria and use results to trigger downstream workflow logic.
- Update Jira issue status or add comments as part of multi-system orchestration workflows.
- Synchronize project management data between Jira and other systems in a scheduled Airflow pipeline.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Apache Airflow operators and hooks to create, query, and manage Jira issues as part of Airflow DAGs.

Yes. This is a production-stable, actively maintained provider package from the Apache Airflow project with no known vulnerabilities. Install it if you run Airflow and need to integrate Jira into your workflows. The low install friction and permissive Apache-2.0 license remove barriers; the only prerequisite is having Airflow >=2.11.0 and Python >=3.10 already in place.

## Install

pip install apache-airflow-providers-atlassian-jira
uv add apache-airflow-providers-atlassian-jira
poetry add apache-airflow-providers-atlassian-jira

## Installing apache-airflow-providers-atlassian-jira

Before you install: Low friction install as a pure-Python wheel. Actively maintained with a release 17 days old; the parent Apache Airflow project has 46490 stars and commits through 2026-08-14. Requires Apache Airflow >=2.11.0.

License in practice: Licensed under Apache-2.0 (permissive). You may use, modify, and distribute this package freely, including in commercial contexts, provided you retain license notices.

Quickstart:

pip install apache-airflow-providers-atlassian-jira

from airflow.providers.atlassian.jira import JiraHook

hook = JiraHook(jira_conn_id='jira_default')

Requires Apache Airflow >=2.11.0 and Python >=3.10; Jira connection credentials must be configured in Airflow.

Verify before relying:

- What specific Jira operations (issue creation, transitions, searches, etc.) are exposed by this provider.
- Whether the provider supports Jira Cloud, Jira Server, or both deployment models.
- Performance characteristics and rate-limiting behavior when interacting with Jira APIs.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 1.0M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow jira integration, airflow provider jira, jira airflow plugin, atlassian jira airflow, workflow jira automation, airflow jira connector, airflow-provider, jira-integration, workflow-orchestration

[View on SkillFed](https://skillfed.io/packages/apache-airflow-providers-atlassian-jira) · [View on PyPI](https://pypi.org/project/apache-airflow-providers-atlassian-jira/)