Skip to main content

Workflow orchestration and management.

Project description

PyPI

Prefect

Prefect is a workflow orchestration framework for building data pipelines in Python. It's the simplest way to elevate a script into a resilient production workflow. With Prefect, you can build resilient, dynamic data pipelines that react to the world around them and recover from unexpected changes.

With just a few lines of code, data teams can confidently automate any data process with features such as scheduling, caching, retries, and event-based automations.

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

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="* * * * *", parameters={ "repos": ["PrefectHQ/prefect"] })

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. You can even run deployments in response to events.

Prefect Cloud

Prefect Cloud provides workflow orchestration for the modern data enterprise. By automating over 200 million data tasks monthly, Prefect empowers diverse organizations — from Fortune 50 leaders such as Progressive Insurance to innovative disruptors such as Cash App — to increase engineering productivity, reduce pipeline errors, and cut data workflow compute costs.

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

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prefect-3.0.5.dev2.tar.gz (5.8 MB view details)

Uploaded Source

Built Distribution

prefect-3.0.5.dev2-py3-none-any.whl (6.1 MB view details)

Uploaded Python 3

File details

Details for the file prefect-3.0.5.dev2.tar.gz.

File metadata

  • Download URL: prefect-3.0.5.dev2.tar.gz
  • Upload date:
  • Size: 5.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for prefect-3.0.5.dev2.tar.gz
Algorithm Hash digest
SHA256 3d5aabcb544c7c317ae3dc1e8b5736537181fb21b4cbed409efcaed7caa94d45
MD5 add3cdab9c8e67b82be229d3f9a0ae6e
BLAKE2b-256 98a483d6895f05fc0aaef17c36a5d970602dcbc24126645794af64ef61270a41

See more details on using hashes here.

File details

Details for the file prefect-3.0.5.dev2-py3-none-any.whl.

File metadata

File hashes

Hashes for prefect-3.0.5.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 473b4528778b50f028276d6fb52cbf02bb99a8cdc01fcbded42bca5dba833e29
MD5 8df29411b4ecec66b7838f8aa197afba
BLAKE2b-256 48613491668b18bc9bb3ae7cc4c9fc577979f895e43553b8f55227577ba48af2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page