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dagster-pagerduty

Package for pagerduty Dagster framework components.

With conditionsPyPI MonitoringReleased Aug 2026151.0K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — dagster_pagerduty-0.29.18-py3-none-any.whl
v0.29.18 · released 2026-08-14 · Python <3.15,>=3.10 · 2 runtime deps: dagster, pypd

Yes, if you use both Dagster and PagerDuty. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real operational need: connecting pipeline failures to on-call response. If you don't use PagerDuty or don't need incident management integration, it adds no value.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later (up to 3.14); requires a PagerDuty account and API credentials.
  • Low friction install with two runtime dependencies (dagster and pypd).
  • Active maintenance with a release on 2026-08-14 and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 licensed under a permissive regime, allowing use in proprietary and open-source projects without restriction.

last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 150,957 downloads/mo, #10,949 on PyPI

Verify before relying

pip install dagster-pagerduty

import dagster as dg
from dagster_pagerduty import pagerduty_resource

@dg.asset
def my_asset():
    return 'data'
  • Specific PagerDuty event types and alert conditions this integration supports
  • Whether the integration supports escalation policies or on-call routing
  • Configuration options for alert severity mapping or filtering
Same gist for agents: .md · .json

What it is and what it does

dagster-pagerduty is a Dagster framework component that connects your data pipeline orchestration to PagerDuty's incident management platform. It allows you to automatically create, update, or resolve incidents in PagerDuty based on events in your Dagster pipelines—such as asset failures, run completions, or custom alerts. This bridges the gap between your data infrastructure and your on-call operations team, ensuring that critical pipeline issues surface immediately to the right people.

The package depends on dagster (the core orchestration framework) and pypd (the PagerDuty Python client). It is maintained as part of the main Dagster project and receives regular updates. It supports Python 3.10 through 3.14, making it compatible with modern Python environments.

Use it for

  • Alert on-call engineers when a critical data pipeline fails or is delayed.
  • Automatically create PagerDuty incidents when asset materialization fails.
  • Integrate pipeline observability into existing on-call workflows and escalation policies.
  • Trigger incident response workflows based on Dagster run status or custom asset events.
  • Centralize data infrastructure alerts alongside application and infrastructure incidents.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you use both Dagster and PagerDuty.

The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real operational need: connecting pipeline failures to on-call response. If you don't use PagerDuty or don't need incident management integration, it adds no value.

Install

dagster-pagerduty on PyPI

Before you install

Low friction install with two runtime dependencies (dagster and pypd). Active maintenance with a release on 2026-08-14 and no known vulnerabilities.

Requires Python 3.10 or later (up to 3.14); requires a PagerDuty account and API credentials.

License in practice

Apache-2.0 licensed under a permissive regime, allowing use in proprietary and open-source projects without restriction.

Quickstart

pip install dagster-pagerduty

import dagster as dg
from dagster_pagerduty import pagerduty_resource

@dg.asset
def my_asset():
    return 'data'

Verify before relying

  • Specific PagerDuty event types and alert conditions this integration supports
  • Whether the integration supports escalation policies or on-call routing
  • Configuration options for alert severity mapping or filtering

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <3.15,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
dagsterpypd
MaintenanceActively maintained 0 days since the last release
Last repo commit
First released
Downloads150,957 / month, #10,949 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: dagster_pagerduty-0.29.18-py3-none-any.whl

Tags

Capabilities
pagerduty dagster integrationpipeline incident alertingdagster monitoring alertson-call incident managementdata pipeline notificationsorchestration alertingdagster pagerduty
Topics
orchestrationincident-managementalerting

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See also dagster-datadog · dagster · dagster-webserver · dagster-cloud-cli · dagster-dg-core · dagster-graphql · dagster-aws · dagster-slack · dagit · dagster-dg-cli