{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"}],"enrichment":{"capability":"Exposes Airflow DAG and task metrics to Prometheus, making workflow status and performance observable through a standard monitoring endpoint.","skillfed_tags":["airflow-plugin","prometheus-exporter","observability"],"use_cases":["Monitor DAG execution status and task completion rates in real time via Prometheus dashboards and alerts.","Track DAG run duration to identify performance regressions or bottlenecks in workflow execution.","Add environment or team labels to metrics for multi-tenant or multi-environment Airflow deployments.","Integrate Airflow observability into existing Prometheus-based monitoring stacks without custom instrumentation.","Alert on DAG failures or paused workflows by querying airflow_dag_last_status metrics in Prometheus rules."],"what_it_does":"airflow-exporter is an Airflow plugin that bridges workflow orchestration and observability by publishing DAG and task metrics to Prometheus. It exposes metrics like task status counts, DAG status, DAG run duration, and the last DAG run state, each labeled with dag_id, task_id, owner, and status information. Metrics are served at a standard HTTP endpoint on your Airflow instance.\n\nThe package integrates directly into Airflow with minimal setup\u2014a single pip install\u2014and supports adding custom labels to metrics via DAG params, enabling environment-specific or team-specific metric segmentation. It requires apache-airflow and prometheus-client as runtime dependencies and supports current Python versions (3.9+), with separate version branches for Airflow 2.* and 3.* compatibility.","worth_installing":"Yes. The package solves a clear problem\u2014exposing Airflow metrics to Prometheus\u2014with low install friction, active maintenance, permissive licensing, and no known vulnerabilities. It is suitable for any Airflow deployment that uses Prometheus for monitoring. Verify that your Airflow version (2.* or 3.*) matches the exporter version branch before installing."},"id":"airflow-exporter","links":{"html":"https://skillfed.io/packages/airflow-exporter","md":"https://skillfed.io/packages/airflow-exporter.md","pypi":"https://pypi.org/project/airflow-exporter/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-05","license_spdx":null,"license_treatment":"permissive","name":"airflow-exporter","python_support":"supports_current","summary":"Airflow plugin to export dag and task based metrics to Prometheus."},"popularity":{"monthly_downloads":290393,"position":7990,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.0"}