A data orchestrator for machine learning, analytics, and ETL.

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  • License: Apache Software License (Apache-2.0)
  • Author: Elementl
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Project description

Dagster

Dagster is a data orchestrator for machine learning, analytics, and ETL.

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.

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  • License: Apache Software License (Apache-2.0)
  • Author: Elementl
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Release history Release notifications | RSS feed

1.9.2

1.9.1

1.9.0

1.8.13

1.8.12

1.8.11

1.8.10

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3 yanked

Reason this release was yanked:

Determined that this version of Dagster resulted in errors when trying to launch runs that target individual asset partitions

1.8.2

1.8.1

1.8.0

1.7.16

1.7.15

1.7.14

1.7.13

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Reason this release was yanked:

Release issues relating to graphene 3 upgrade

1.0.17

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0.12.15

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