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apache-airflow-providers-pagerduty

Provider package apache-airflow-providers-pagerduty for Apache Airflow

apache-airflow-providers-pagerduty v5.2.6 1.1M downloads/30d#4,330 on PyPI46,490
Permissive license Apache-2.0 Active released

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

Integrates PagerDuty incident management with Apache Airflow workflows, enabling DAGs to trigger alerts, create incidents, and manage on-call notifications.

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

pip

pip install apache-airflow-providers-pagerduty

uv

uv add apache-airflow-providers-pagerduty

poetry

poetry add apache-airflow-providers-pagerduty

Installing apache-airflow-providers-pagerduty

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.

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
)

Requires an existing Apache Airflow >=2.11.0 installation and a configured PagerDuty API connection in Airflow.

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 — apache-airflow, apache-airflow-providers-common-compat, apache-airflow-providers-http, pagerduty
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)

Evidence: apache_airflow_providers_pagerduty-5.2.6-py3-none-any.whl

Keywords: airflow-provider, pagerduty, airflow, integration

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

Tags

airflow pagerduty integrationairflow incident alertingpagerduty provider airflowairflow on-call notificationsairflow workflow alerts
airflow-providerincident-managementworkflow-automation

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