Workflow orchestration and management.


Keywords
automation, data, data-engineering, data-ops, data-science, infrastructure, ml-ops, observability, orchestration, pipeline, prefect, python, workflow, workflow-engine
License
Apache-2.0
Install
pip install prefect==3.0.0rc4

Documentation

PyPI

Prefect

Prefect is an orchestration and observation platform for building and reacting to workflows. It's the simplest way to transform Python code into an interactive workflow application.

With Prefect you can standardize workflow deployment across your organization.

You can build resilient, dynamic workflows that react to the world around them and recover from unexpected changes.

With just a few decorators, Prefect supercharges your code with features like automatic retries, distributed execution, scheduling, caching, and much more.

Workflow activity is tracked and can be monitored with a self-hosted Prefect server instance or managed Prefect Cloud dashboard.

Getting started

Prefect requires Python 3.9 or later. To install the latest or upgrade to the latest version of Prefect, run the following command:

pip install -U prefect

Then create and run a Python file that uses Prefect flow and task decorators to orchestrate and observe your workflow - in this case, a simple script that fetches the number of GitHub stars from a repository:

from prefect import flow, task
from typing import list
import httpx


@task(log_prints=True)
def get_stars(repo: str):
    url = f"https://api.github.com/repos/{repo}"
    count = httpx.get(url).json()["stargazers_count"]
    print(f"{repo} has {count} stars!")


@flow(name="GitHub Stars")
def github_stars(repos: list[str]):
    for repo in repos:
        get_stars(repo)


# run the flow!
if __name__=="__main__":
    github_stars(["PrefectHQ/Prefect"])

Fire up the Prefect UI to see what happened:

prefect server start

Prefect UI dashboard

To run your workflow on a schedule, turn it into a deployment and schedule it to run every minute by changing the last line of your script to the following:

if __name__ == "__main__":
    github_stars.serve(name="first-deployment", cron="* * * * *")

You now have a server running locally that is looking for scheduled deployments! Additionally you can run your workflow manually from the UI or CLI - and if you're using Prefect Cloud, you can even run deployments in response to events.

Prefect Cloud

Stop worrying about your workflows. Prefect Cloud allows you to centrally deploy, monitor, and manage the data workflows you support. With managed orchestration, automations, and webhooks, all backed by enterprise-class security, build production-ready code quickly and reliably.

Read more about Prefect Cloud here or sign up to try it for yourself.

Prefect Automations Prefect Automations Prefect Automations

prefect-client

If your use case is geared towards communicating with Prefect Cloud or a remote Prefect server, check out our prefect-client. It is a lighter-weight option for accessing client-side functionality in the Prefect SDK and is ideal for use in ephemeral execution environments.

Next steps