{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing"}],"enrichment":{"capability":"dagster-dg-core provides the core orchestration and asset-definition framework for Dagster, enabling you to declare data assets as Python functions and manage their execution and dependencies.","skillfed_tags":["data-orchestration","asset-management","pipeline-framework"],"use_cases":["Define and orchestrate multi-stage data pipelines where downstream assets depend on upstream transformations.","Build reusable, testable data components that can be unit-tested locally before deployment to production.","Track data lineage and dependencies across a complex asset graph with integrated observability and diagnostics.","Maintain data freshness by declaring asset definitions once and letting Dagster handle scheduling.","Integrate with existing data tools and deploy to your own infrastructure using Dagster's integrations."],"what_it_does":"dagster-dg-core is the foundational orchestration library for Dagster, a data pipeline platform built around declaring data assets as Python functions. You define what assets you want to build and their dependencies; Dagster handles scheduling, execution, and keeping them up-to-date. It integrates with a large ecosystem of data tools and provides built-in lineage tracking, observability, and testability across the full development lifecycle from local testing to production.\n\nThe package depends on 18 runtime libraries including click, jinja2, jsonschema, pyyaml, and rich, which provide CLI scaffolding, templating, configuration validation, and terminal formatting. It is designed to work at every stage\u2014unit tests, integration tests, staging, and production\u2014and supports Python 3.10 through 3.14. The project is actively maintained with recent releases and a large community presence.","worth_installing":"Yes. dagster-dg-core is the core of an actively maintained, well-starred orchestration platform with permissive licensing and low install friction. Install it if you are building data pipelines in Python and want declarative asset management with built-in lineage and observability. If you are new to Dagster, verify whether you should install dagster itself or this package first by consulting the official documentation."},"id":"dagster-dg-core","links":{"html":"https://skillfed.io/packages/dagster-dg-core","md":"https://skillfed.io/packages/dagster-dg-core.md","pypi":"https://pypi.org/project/dagster-dg-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-dg-core","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":3235486,"position":2688,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.13.18"}