{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools"}],"enrichment":{"capability":"Renders dbt Core projects as Apache Airflow DAGs and Task Groups, allowing you to orchestrate dbt workflows using Airflow's scheduling, connections, and task management instead of dbt profiles.","skillfed_tags":["dbt-integration","airflow-provider","data-orchestration"],"use_cases":["Convert an existing dbt project into an Airflow DAG with minimal code changes to enable Airflow-native scheduling and monitoring.","Run dbt tests immediately after model completion to catch data quality issues early in the pipeline.","Manage dbt credentials and connections through Airflow's connection system instead of maintaining separate dbt profiles.","Orchestrate dbt alongside non-dbt tasks (API calls, Python scripts, SQL queries) in a single Airflow DAG.","Use Airflow's data-aware scheduling to trigger dbt models only after upstream data sources are refreshed."],"what_it_does":"Astronomer Cosmos is a bridge between dbt Core and Apache Airflow that converts dbt projects into native Airflow DAGs and Task Groups. Instead of running dbt through profiles and CLI commands, you define your dbt project in Python code and Cosmos generates Airflow tasks for each model, test, and snapshot, complete with dependencies, retries, and alerting.\n\nThe package runs dbt in isolated virtual environments by default to avoid dependency conflicts with Airflow, and integrates with Airflow's connection system so you can manage data warehouse credentials through Airflow rather than dbt profiles. It enables data-aware scheduling\u2014running dbt models immediately after upstream data ingestion\u2014and lets you inspect and retry individual models as Airflow tasks. It depends on apache-airflow, jinja2, attrs, packaging, and several other standard libraries.","worth_installing":"Yes. The package is production-stable (Development Status 5), actively maintained with recent releases, has no known vulnerabilities, and solves a real integration gap for teams using both dbt and Airflow. Install friction is low, and the Apache 2.0 license is permissive. Recommended if you orchestrate dbt workflows in Airflow."},"id":"astronomer-cosmos","links":{"html":"https://skillfed.io/packages/astronomer-cosmos","md":"https://skillfed.io/packages/astronomer-cosmos.md","pypi":"https://pypi.org/project/astronomer-cosmos/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"astronomer-cosmos","python_support":"supports_current","summary":"Orchestrate your dbt projects in Airflow"},"popularity":{"monthly_downloads":9680418,"position":1506,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.15.1"}