{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"Integrates Sling ETL/ELT tasks into Dagster data pipelines, enabling declarative data asset orchestration with Sling as the execution engine.","skillfed_tags":["data-orchestration","etl-elt","integration"],"use_cases":["Build data pipelines combining Sling data ingestion with Dagster asset orchestration and lineage tracking.","Automate ETL/ELT workflows where Sling handles data movement and Dagster manages scheduling and observability.","Integrate Sling tasks into existing Dagster projects without rewriting orchestration logic.","Monitor and troubleshoot Sling data jobs through Dagster's unified web UI and observability layer.","Deploy multi-stage data pipelines where Sling ingests and transforms data, feeding downstream Dagster assets."],"what_it_does":"dagster-sling is a Dagster integration library that brings Sling's ETL/ELT capabilities into Dagster's declarative asset orchestration framework. It allows you to define data pipelines using Sling as the execution engine while leveraging Dagster's asset lineage, observability, and orchestration features. The package wraps Sling tasks as Dagster assets, enabling you to compose them with other assets and run them through Dagster's unified control plane.\n\nThe integration is designed for teams already using Dagster for data orchestration who want to incorporate Sling's data integration capabilities. It requires Sling and dagster as runtime dependencies, with platform-specific Sling binaries (like sling-mac-arm64) available for different architectures. The package is actively maintained and supports Python 3.10 through 3.14.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive Apache-2.0 license, and installs with low friction. It is worth installing if you are already using Dagster and need to incorporate Sling for data integration tasks. If you are not using Dagster, this package alone will not be useful\u2014you would need the Dagster ecosystem first."},"id":"dagster-sling","links":{"html":"https://skillfed.io/packages/dagster-sling","md":"https://skillfed.io/packages/dagster-sling.md","pypi":"https://pypi.org/project/dagster-sling/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-sling","python_support":"supports_current","summary":"Package for performing ETL/ELT tasks with Sling in Dagster."},"popularity":{"monthly_downloads":83101,"position":14101,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.29.18"}