What do you want to do?
3 use cases
-
Turn a Python script into a tracked workflow
Wrap functions with Prefect's flow and task decorators and watch every run in the local Prefect UI.
View prompt
Using PrefectHQ/prefect, convert <my script> into a flow with a task per step, add retries to the network calls, run it, and start `prefect server start` so I can see the run.
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Schedule a pipeline to run on a cron
Serve a Prefect flow as a deployment with a cron schedule and parameters.
View prompt
With PrefectHQ/prefect, make <flow> a deployment with .serve(name="<name>", cron="<schedule>", parameters=<params>), run it, and show me how to trigger an extra run from the CLI.
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Let your coding agent build and run Prefect workflows
Connect a coding agent to Prefect with the agent setup guides so it can write flows and use the CLI.
View prompt
Using PrefectHQ/prefect's agent setup guides, connect yourself to my Prefect server through MCP, then build a flow that <job>, run it, and report the task states.
Quick start with Prefect
- Check you have what it needs: Python 3.11 or later; pip or uv; Optional: a Prefect Cloud account instead of a self-hosted server.
- Open PrefectHQ/prefect on GitHub and read the README and license.
- Install with
pip install -U prefectoruv add prefect(Python 3.11+) - Decorate your functions with task and the entry point with flow, as in the GitHub stars example
- Run the script once with Python to execute the flow
- Start the UI with
prefect server startand open http://localhost:4200
These steps come from our top use case, Turn a Python script into a tracked workflow, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forData engineers and Python developers who want to schedule, retry and monitor scripts and pipelines.
- Why it is hot24k stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/PrefectHQ/prefect ยท Back to Hot repos
Requirements
- Python 3.11 or later
- pip or uv
- Optional: a Prefect Cloud account instead of a self-hosted server
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Questions about Prefect
What is Prefect?
Prefect is a workflow orchestration framework for building data pipelines in Python. Flow and task decorators turn a script into a production workflow with scheduling, caching, retries and event-based automations, and runs are tracked in a self-hosted Prefect server or the managed Prefect Cloud dashboard. Agent setup guides connect coding agents to Prefect through plugins or MCP. It is an open-source project on GitHub: https://github.com/PrefectHQ/prefect.
How do I use Prefect?
Install with pip install -U prefect or uv add prefect (Python 3.11+); then Decorate your functions with task and the entry point with flow, as in the GitHub stars example; run the script once with Python to execute the flow. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Prefect for?
Data engineers and Python developers who want to schedule, retry and monitor scripts and pipelines.
What can I do with Prefect?
3 use cases so far, for example: Turn a Python script into a tracked workflow; Schedule a pipeline to run on a cron; Let your coding agent build and run Prefect workflows. Each has steps and a copy-paste agent prompt.
What do I need to run Prefect?
Python 3.11 or later; pip or uv; Optional: a Prefect Cloud account instead of a self-hosted server.
What are alternatives to Prefect?
Other hot AI repos in Data and analytics: Chronos Forecasting, Crawlee Python, DLT, Timesfm, Ultralytics.
Is Prefect safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.