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Collections Catalog

Prefect integrations are organized into collections of pre-built tasks, flows, blocks and more that are installable as PyPI packages. We affectionately call these groups of integrations Prefect Collections.

Collections are grouped around the services with which they interact and can be used to quickly build Prefect dataflows for your existing stack. For example, to move data around in S3 you can use the prefect-aws collection, or if you want to be notified via Slack as your dataflow runs you can use the prefect-slack collection.

By using Prefect Collections, you can eliminate boilerplate code that you need to write to interact with common services, and focus on the outcomes that are important to you.

Below you can find a list of all available Prefect Collections.

Airbyte

Maintained by
Prefect

Alert

Maintained by
Khuyen Tran

AWS

Maintained by
Prefect

Azure

Maintained by
Prefect

Census

Maintained by
Prefect

Dask

Maintained by
Prefect

Databricks

Maintained by
Prefect

dbt

Maintained by
Prefect

Docker

Maintained by
Prefect

Email

Maintained by
Prefect

Firebolt

Maintained by
Prefect

Fivetran

Maintained by
Fivetran

GCP

Maintained by
Prefect

GitHub

Maintained by
Prefect

GitLab

Maintained by
Prefect

Hex

Maintained by
Prefect

Hightouch

Maintained by
Prefect

Jupyter

Maintained by
Prefect

KV

Maintained by
Michael Adkins

Monday

Maintained by
Prefect

MonteCarlo

Maintained by
Prefect

Ray

Maintained by
Prefect

Shell

Maintained by
Prefect

Slack

Maintained by
Prefect

Snowflake

Maintained by
Prefect

SQLAlchemy

Maintained by
Prefect

Twitter

Maintained by
Prefect