apache-airflow-providers-jira
Provider for Apache Airflow. Implements apache-airflow-providers-jira package
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires apache-airflow >= 2.2.0 and apache-airflow-providers-atlassian-jira as runtime dependencies.
- 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 · maintenance · safety
Apache License 2.0 (permissive) — Apache License 2.0 is permissive, allowing commercial use and modification with attribution.
last release 2022-10-01 (1413 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 145,593 downloads/mo, #11,124 on PyPI
Alternatives
Verify before relying
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')- 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.
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 on it.
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
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.
Requires apache-airflow >= 2.2.0 and apache-airflow-providers-atlassian-jira as runtime dependencies.
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')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 the current Python release ~=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesapache-airflow-providers-atlassian-jiraapache-airflow |
| Maintenance | Actively maintained 1,413 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 145,593 / month, #11,124 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 AdministratorsLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_jira-3.1.0-py3-none-any.whl
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See also apache-airflow-providers-atlassian-jira · jira · apache-airflow-providers-asana · atlassian-python-api · apache-airflow-providers-jenkins · apache-airflow-providers-zendesk · apache-airflow-providers-github · apache-airflow-providers-vespa · apache-airflow-providers-apache-flink · sf-hamilton