dagster-datadog
Package for datadog Dagster framework components.
Decision gist · record as of 2026-08-14
Yes, if you are already using Datadog for infrastructure monitoring and want to integrate Dagster pipeline observability into the same platform. The package is actively maintained, has no known vulnerabilities, and installs with low friction. Skip it if you don't use Datadog or prefer alternative observability tools.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14); requires both dagster and datadog packages to be installed and configured.
- Low friction install with two runtime dependencies (dagster and datadog).
- Package is actively maintained with a release on 2026-08-14 and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 licensed, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 311,488 downloads/mo, #7,732 on PyPI
Alternatives
Verify before relying
pip install dagster-datadog
import dagster as dg
from dagster_datadog import datadog_resource- What specific Datadog metrics or events does this integration automatically emit from Dagster runs?
- Does the integration support custom metric definitions or only predefined Datadog metrics?
- Are there configuration examples or best practices documented for production deployments?
What it is and what it does
dagster-datadog is an integration package that connects Dagster's data orchestration framework with Datadog's monitoring and observability platform. It allows you to send pipeline execution metrics, asset lineage events, and run status information to Datadog, enabling centralized monitoring of your data workflows alongside your broader infrastructure.
The package depends on both dagster and datadog as runtime requirements. It is designed for teams already using Datadog who want to observe their Dagster pipelines within their existing monitoring stack. The integration is actively maintained as part of the larger Dagster ecosystem and carries no known security vulnerabilities.
Use it for
- Monitor Dagster asset materialization events and send them to Datadog dashboards for real-time visibility.
- Track pipeline execution times and resource usage by forwarding Dagster metrics to Datadog for performance analysis.
- Set up Datadog alerts triggered by Dagster run failures or asset quality issues.
- Correlate Dagster pipeline performance with infrastructure metrics already collected in Datadog.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Datadog for infrastructure monitoring and want to integrate Dagster pipeline observability into the same platform.
The package is actively maintained, has no known vulnerabilities, and installs with low friction. Skip it if you don't use Datadog or prefer alternative observability tools.
Install
dagster-datadog on PyPI
Before you install
Low friction install with two runtime dependencies (dagster and datadog). Package is actively maintained with a release on 2026-08-14 and no known vulnerabilities.
Requires Python 3.10 or later (supports up to 3.14); requires both dagster and datadog packages to be installed and configured.
License in practice
Apache-2.0 licensed, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install dagster-datadog
import dagster as dg
from dagster_datadog import datadog_resourceVerify before relying
- What specific Datadog metrics or events does this integration automatically emit from Dagster runs?
- Does the integration support custom metric definitions or only predefined Datadog metrics?
- Are there configuration examples or best practices documented for production deployments?
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesdagsterdatadog |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 311,488 / month, #7,732 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_datadog-0.29.18-py3-none-any.whl
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See also dagster · dagster-pagerduty · dagster-webserver · dagster-prometheus · dda · dagster-docker · dagster-graphql · dagster-cloud-cli · datadog-checks-base · safe-init