{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing"}],"enrichment":{"capability":"Integrates dbt data transformation workflows into Dagster's orchestration platform, allowing you to define, schedule, and monitor dbt models as part of a larger data asset graph.","skillfed_tags":["dbt-integration","data-orchestration","etl"],"use_cases":["Orchestrate dbt models as part of a larger Dagster data asset graph that includes Python transformations and ML models","Monitor dbt test results and model freshness within Dagster's lineage and observability interface","Schedule dbt runs on a defined cadence and trigger them based on upstream data asset changes","Build reusable dbt asset definitions that can be composed across multiple projects or environments","Integrate dbt transformations with data quality checks and alerting in a centralized control plane"],"what_it_does":"dagster-dbt is a Dagster integration that bridges dbt (a data transformation tool) with Dagster's orchestration and observability platform. It allows you to represent dbt models, tests, and snapshots as Dagster assets, enabling you to compose them into larger data pipelines alongside other Python-based computations, SQL queries, and machine learning workflows. The integration handles scheduling, execution, and monitoring of dbt runs within Dagster's unified control plane.\n\nThe package depends on dagster and dbt-core, along with supporting libraries for parsing, networking, and data handling (gitpython, jinja2, networkx, orjson, packaging, requests, rich, sqlglot, typer). It is designed for teams building modern data stacks who want to orchestrate dbt workflows alongside other data assets in a single, observable system rather than managing dbt separately.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, and low install friction. It is the standard way to integrate dbt into Dagster workflows. Install it if you are using Dagster for orchestration and want to include dbt models in your asset graph; skip it if you are managing dbt independently or not using Dagster."},"id":"dagster-dbt","links":{"html":"https://skillfed.io/packages/dagster-dbt","md":"https://skillfed.io/packages/dagster-dbt.md","pypi":"https://pypi.org/project/dagster-dbt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-dbt","python_support":"supports_current","summary":"A Dagster integration for dbt"},"popularity":{"monthly_downloads":2681013,"position":2944,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.29.18"}