[Prefect](https://www.prefect.io/) is an open-source framework that allows you to design, test, run, and monitor your data pipelines with Python. Prefect also offers it's framework as a service called Prefect Cloud. ## [Prefect Official Documentation](https://docs.prefect.io/core/) ## Prefect Advantages - Easy to test and run workflows locally - Minimal scheduling latency - Clean intuitive UI ## Prefect Disadvantages - Newer/smaller community & fewer learning resources ## Prefect Learning Resources https://docs.prefect.io/core/getting_started/quick-start.html ## [Prefect Recent Posts](https://www.reddit.com/r/dataengineering/search/?q=Prefect&restrict_sr=1&sr_nsfw=) %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Tools/Workflow%20Orchestrators/Prefect.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Tools/Workflow%20Orchestrators/Prefect.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Tools/Workflow%20Orchestrators/Prefect) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Tools/Workflow%20Orchestrators/Prefect)</span>