apache-airflow-providers-pagerduty
Provider package apache-airflow-providers-pagerduty for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained provider for a common integration need. Install friction is low, dependencies are standard Airflow ecosystem packages, and there are no known vulnerabilities. Install it if you run Airflow and need to route alerts or incidents to PagerDuty; skip it if you don't use PagerDuty or don't need Airflow-to-PagerDuty automation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow >=2.11.0 installation and a configured PagerDuty API connection in Airflow.
- Low friction install as a pure Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and pagerduty >=2.3.0 as runtime dependencies.
License · maintenance · safety
Apache-2.0 (permissive) — Apache License 2.0 (permissive) — you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,124,612 downloads/mo, #4,330 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-pagerduty
from airflow.providers.pagerduty.operators.pagerduty import PagerDutyOperator
task = PagerDutyOperator(
task_id='trigger_incident',
pagerduty_conn_id='pagerduty_default',
# operator-specific parameters
)- Specific operator and hook classes available in this version
- Whether PagerDuty API authentication methods are documented
- Support for PagerDuty event routing and escalation policies
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow DAGs and PagerDuty's incident management platform. It supplies operators, hooks, and connection types that let you programmatically create incidents, trigger alerts, and manage on-call escalations directly from your Airflow workflows. The package wraps the pagerduty Python client and integrates with Airflow's HTTP provider for API communication.
Typical use is to attach PagerDuty tasks to your DAG as failure handlers, success notifications, or scheduled incident creation. It requires Apache Airflow >=2.11.0, the pagerduty client library >=2.3.0, and Airflow's HTTP provider. The package is actively maintained, supports Python 3.10 through 3.14, and carries no known security vulnerabilities.
Use it for
- Trigger a PagerDuty incident when an Airflow DAG fails, escalating to the on-call engineer.
- Create scheduled maintenance incidents in PagerDuty from an Airflow workflow.
- Send alert notifications to PagerDuty when a data pipeline completes or encounters warnings.
- Integrate Airflow monitoring with PagerDuty's incident response workflow and runbooks.
- Automate incident acknowledgment or resolution based on Airflow task outcomes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained provider for a common integration need. Install friction is low, dependencies are standard Airflow ecosystem packages, and there are no known vulnerabilities. Install it if you run Airflow and need to route alerts or incidents to PagerDuty; skip it if you don't use PagerDuty or don't need Airflow-to-PagerDuty automation.
Install
apache-airflow-providers-pagerduty on PyPI
Before you install
Low friction install as a pure Python wheel. Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and pagerduty >=2.3.0 as runtime dependencies.
Requires an existing Apache Airflow >=2.11.0 installation and a configured PagerDuty API connection in Airflow.
License in practice
Apache License 2.0 (permissive) — you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install apache-airflow-providers-pagerduty
from airflow.providers.pagerduty.operators.pagerduty import PagerDutyOperator
task = PagerDutyOperator(
task_id='trigger_incident',
pagerduty_conn_id='pagerduty_default',
# operator-specific parameters
)Verify before relying
- Specific operator and hook classes available in this version
- Whether PagerDuty API authentication methods are documented
- Support for PagerDuty event routing and escalation policies
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-httppagerduty |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,124,612 / month, #4,330 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 AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_pagerduty-5.2.6-py3-none-any.whl
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See also apache-airflow-providers-discord · apache-airflow-providers-opsgenie · apache-airflow-providers-datadog · apache-airflow-providers-dingding · pypd · apache-airflow-providers-segment · pygerduty · apache-airflow-providers-apprise · apache-airflow · pdpyras