{"data":{"slug":"dagster-io-dagster","name":"dagster","tagline":"An orchestration platform for data assets","github_url":"https://github.com/dagster-io/dagster","owner":"dagster-io","repo":"dagster","owner_avatar_url":"https://avatars.githubusercontent.com/u/40032576?v=4","primary_language":"Python","stars":16144,"forks":2290,"topics":["analytics","dagster","data-engineering","data-integration","data-orchestrator","data-pipelines","data-science","etl","metadata","mlops","orchestration","python","scheduler","workflow","workflow-automation"],"archived":false,"github_pushed_at":"2026-09-11T19:05:31+00:00","maintenance_label":"Very active","stars_delta_30d":195,"url":"https://www.graphcanon.com/tools/dagster-io-dagster","markdown_url":"https://www.graphcanon.com/tools/dagster-io-dagster.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dagster-io-dagster","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dagster-io-dagster","description":"An orchestration platform for the development, production, and observation of data assets.","homepage_url":"https://dagster.io","license":"Apache-2.0","open_issues":2587,"watchers":160,"ai_summary":"Dagster is an open-source Python-based orchestration platform aiding in the management and observation of data pipelines and workflows.","readme_excerpt":"## Quick Start:\n\nIf you're new to Dagster, we recommend checking out the [docs](https://docs.dagster.io) or following the hands-on [tutorial](https://docs.dagster.io/etl-pipeline-tutorial/).\n\nDagster is available on PyPI and officially supports Python 3.9 through Python 3.14.\n\n```bash\nuv add dagster dagster-webserver dagster-dg-cli\n```\n\n---\n\n## License\n\nDagster is [Apache 2.0 licensed](https://github.com/dagster-io/dagster/blob/master/LICENSE).","github_created_at":"2018-04-30T16:30:04+00:00","created_at":"2026-07-15T10:45:54.091797+00:00","updated_at":"2026-09-20T04:26:46.939614+00:00","categories":[{"slug":"data-retrieval","name":"Data & 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modern Python applications.","In scenarios where extensive documentation is beneficial for initial setup and ongoing development.","When there is a need for workflow automation features tailored specifically for data science tasks, including ETL processes."],"when_not_to_use":["If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements.","In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem.","For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding.","If specific features or integrations crucial to your workflow are found lacking in comparison to competitors."],"source":"enrich:decision_facts","observed_at":"2026-07-16T20:50:46.328Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Dagster is an open-source orchestration platform developed in Python for managing 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