{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"Provides ETL/ELT integration for Dagster, enabling data pipeline orchestration with embedded extraction and loading capabilities through dagster-dlt and dagster-sling connectors.","skillfed_tags":["data-orchestration","etl-elt","pipeline-automation"],"use_cases":["Define ETL pipelines as Dagster assets and orchestrate them with built-in scheduling and monitoring.","Integrate external data sources via dlt or Sling connectors while maintaining lineage and data quality checks.","Build multi-stage data workflows combining extraction, transformation, and loading in a single declarative graph.","Automate recurring data ingestion tasks with Dagster's scheduling and dependency resolution.","Monitor and troubleshoot data pipeline failures with Dagster's observability and diagnostics tools."],"what_it_does":"dagster-embedded-elt is a specialized integration package that extends Dagster's data orchestration capabilities with built-in ETL/ELT (extract-transform-load / extract-load-transform) connectors. It sits on top of three runtime dependencies\u2014dagster (the core orchestrator), dagster-dlt, and dagster-sling\u2014to provide a unified interface for defining and running data extraction and loading tasks as part of Dagster's asset-based pipeline model.\n\nThe package is designed for teams building data pipelines who want to declare their extraction and loading logic as Python functions (Dagster assets) and have them orchestrated alongside transformations and other data operations. It inherits Dagster's declarative programming model, integrated lineage tracking, and observability features, allowing you to develop and test pipelines locally before promoting them to staging and production environments.","worth_installing":"Yes, if you are already using Dagster for data orchestration and need to add extraction and loading capabilities. The package has low install friction, active maintenance, a permissive license, and no known vulnerabilities. It is most valuable as part of a broader Dagster deployment; installing it in isolation without the core Dagster ecosystem provides limited benefit."},"id":"dagster-embedded-elt","links":{"html":"https://skillfed.io/packages/dagster-embedded-elt","md":"https://skillfed.io/packages/dagster-embedded-elt.md","pypi":"https://pypi.org/project/dagster-embedded-elt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-17","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-embedded-elt","python_support":"supports_current","summary":"Package for performing ETL/ELT tasks with Dagster."},"popularity":{"monthly_downloads":92023,"position":13488,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.29.1"}