---
id: dagster-prometheus
version: "0.29.18"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# dagster-prometheus — A Dagster integration for prometheus

License: permissive · Maintenance: active · Downloads: 231.8K/mo

## What it is and what it does

dagster-prometheus is a Dagster integration that connects Prometheus monitoring to your data pipelines. It allows you to export metrics from Dagster runs and asset computations to Prometheus, enabling observability and alerting on pipeline health and performance. The package depends on dagster (the core orchestration framework) and prometheus-client (the Prometheus Python client library) to bridge the two systems.

This integration is part of Dagster's broader ecosystem of integrations for observability and control. It fits into the development lifecycle from local testing through production deployment, letting you monitor pipeline execution and asset performance using Prometheus's time-series database and alerting capabilities.

Use it for:

- Export Dagster run metrics to Prometheus for centralized monitoring and alerting on pipeline failures or performance issues.
- Track asset computation metrics across your data platform using Prometheus time-series queries and dashboards.
- Integrate Dagster observability into existing Prometheus-based monitoring stacks without replacing your metrics infrastructure.
- Monitor pipeline health and performance alongside other infrastructure metrics in a unified observability system.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Prometheus metrics collection and export into Dagster data pipelines, enabling monitoring and observability of pipeline runs and asset computations.

Yes, if you already use Prometheus for infrastructure monitoring and want to extend it to Dagster pipelines. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Install only if you have a Prometheus deployment in place or plan to set one up; otherwise, Dagster's built-in observability may suffice.

## Install

pip install dagster-prometheus
uv add dagster-prometheus
poetry add dagster-prometheus

## Installing dagster-prometheus

Before you install: Low friction install with only two runtime dependencies (dagster and prometheus-client). Package is actively maintained with a recent release and no known vulnerabilities.

License in practice: Apache 2.0 licensed, permissive terms allow commercial use, modification, and distribution with minimal restrictions.

Quickstart:

pip install dagster-prometheus

import dagster as dg
from dagster_prometheus import PrometheusResource

@dg.asset
def my_asset():
    return None

Requires Python 3.10 or later (package supports 3.10 through 3.14).

Verify before relying:

- What specific Prometheus metrics are automatically collected from Dagster runs and assets.
- Whether the integration requires a running Prometheus server or can export metrics standalone.
- How configuration of Prometheus endpoints or metric labels is handled.
- What observability features are provided beyond basic metrics export.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 231.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

prometheus metrics dagster, dagster monitoring integration, pipeline observability prometheus, dagster metrics export, prometheus dagster integration, observability, metrics, orchestration

[View on SkillFed](https://skillfed.io/packages/dagster-prometheus) · [View on PyPI](https://pypi.org/project/dagster-prometheus/)