{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/3"}],"enrichment":{"capability":"Provides Airflow operators, hooks, and utilities to execute dbt commands within Airflow workflows, treating dbt as a library rather than a CLI wrapper.","skillfed_tags":["dbt-integration","workflow-orchestration","data-pipeline"],"use_cases":["Orchestrate multi-step dbt workflows (run, test, snapshot) as independent Airflow tasks with conditional logic between steps.","Fetch dbt projects from git repositories or S3 at task runtime and execute them in isolated environments across distributed executors.","Extract dbt artifacts (manifest, run_results) to XCom and use them in downstream Airflow tasks for alerting, reporting, or dynamic DAG generation.","Use Airflow connections to configure dbt targets without maintaining separate profiles.yml files in your deployment.","Deploy dbt workflows to managed Airflow services (AWS MWAA, GCP Cloud Composer) by adding the package to requirements or PyPI packages."],"what_it_does":"airflow-dbt-python bridges Airflow and dbt by providing native operators and hooks that invoke dbt-core as a library rather than wrapping CLI calls. It enables you to orchestrate dbt workflows directly within Airflow DAGs, with each task executing in an isolated temporary directory to work with Airflow's independent task execution model.\n\nThe package handles the practical challenges of integrating these tools: it can fetch dbt projects and profiles from remote storage (S3, git), push dbt artifacts to Airflow XCom for downstream use, and map Airflow connections directly to dbt targets without requiring a profiles.yml file. It supports Python 3.10 through 3.13 and is actively maintained against the latest Airflow and dbt-core releases.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive MIT license, and low install friction. It is production-stable (Development Status 5) and directly addresses the common need to orchestrate dbt within Airflow. Install it if you run dbt workflows in Airflow and want native operator support rather than CLI wrapping."},"id":"airflow-dbt-python","links":{"html":"https://skillfed.io/packages/airflow-dbt-python","md":"https://skillfed.io/packages/airflow-dbt-python.md","pypi":"https://pypi.org/project/airflow-dbt-python/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-24","license_spdx":"MIT","license_treatment":"permissive","name":"airflow-dbt-python","python_support":"supports_current","summary":"A collection of Airflow operators, hooks, and utilities to execute dbt commands"},"popularity":{"monthly_downloads":300271,"position":7844,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.6.0"}