{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"}],"enrichment":{"capability":"Integrates dlt data loading into Dagster pipelines, enabling declarative ETL/ELT workflows where dlt sources and destinations are orchestrated as Dagster assets.","skillfed_tags":["data-orchestration","etl-elt","integration"],"use_cases":["Build an ELT pipeline where dlt handles extraction and loading while Dagster orchestrates and monitors the full asset graph.","Integrate dlt sources (e.g., Salesforce, Stripe) into a Dagster asset as part of a larger data warehouse workflow.","Combine dlt's connector library with Dagster's testing and CI/CD tooling for reliable, repeatable data ingestion.","Track data lineage and quality across dlt-loaded assets using Dagster's built-in observability and asset catalog."],"what_it_does":"dagster-dlt is a Dagster integration library that brings dlt's data loading capabilities into Dagster's asset-oriented orchestration model. It allows you to define dlt sources and destinations as Dagster assets, so they run within Dagster's scheduling, monitoring, and lineage tracking system. The package requires Python 3.10 or later and depends on both dagster and dlt as runtime libraries.\n\nYou use it when you want dlt's lightweight, source-to-destination data loading to be part of a larger Dagster data platform\u2014where you need unified orchestration, observability, and asset management across your entire data stack. It sits between dlt's extraction-and-load simplicity and Dagster's declarative asset graph, letting you compose dlt jobs alongside other Dagster assets in a single Python codebase.","worth_installing":"Yes. This is a lightweight, actively maintained integration with no security issues, permissive licensing, and low install friction. Install it if you are already using both Dagster and dlt and want to orchestrate dlt jobs as first-class Dagster assets rather than external processes."},"id":"dagster-dlt","links":{"html":"https://skillfed.io/packages/dagster-dlt","md":"https://skillfed.io/packages/dagster-dlt.md","pypi":"https://pypi.org/project/dagster-dlt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-dlt","python_support":"supports_current","summary":"Package for performing ETL/ELT tasks with dlt in Dagster."},"popularity":{"monthly_downloads":357260,"position":7271,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.29.18"}