dagster (conda): Dagster lets you define pipelines in terms of the data flow between reusable, logical components, then test locally and run anywhere. With a unified view of pipelines and the assets they produce, Dagster can schedule and orchestrate Pandas, Spark, SQL, or anything else that Python can invoke.  Dagster is designed for data platform engineers, data engineers, and full-stack data scientists. Building a data platform with Dagster makes your stakeholders more independent and your systems more robust. Developing data pipelines with Dagster makes testing easier and deploying faster.
Keywords: analytics|dagster|data-engineering|data-integration|data-orchestrator|data-pipelines|data-science|etl|metadata|mlops|orchestration|python|scheduler|workflow|workflow-automation