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="* * * * *")

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-3.0.0rc20.tar.gz (5.8 MB view details)

Uploaded Source

Built Distribution

prefect-3.0.0rc20-py3-none-any.whl (6.0 MB view details)

Uploaded Python 3

File details

Details for the file prefect-3.0.0rc20.tar.gz.

File metadata

  • Download URL: prefect-3.0.0rc20.tar.gz
  • Upload date:
  • Size: 5.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for prefect-3.0.0rc20.tar.gz
Algorithm Hash digest
SHA256 5b7264faeaa227ada6d9fdb7821d17e4a9b0523fc445ffefe674cac79a5dc4c2
MD5 19e6bf031e7a1be32a91eb41f82b05d3
BLAKE2b-256 5a78803fd474c1ef1369c3b21d2044469aa1bcc72fc7c6ed7c16b9cc08449e74

See more details on using hashes here.

File details

Details for the file prefect-3.0.0rc20-py3-none-any.whl.

File metadata

  • Download URL: prefect-3.0.0rc20-py3-none-any.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for prefect-3.0.0rc20-py3-none-any.whl
Algorithm Hash digest
SHA256 10756fcc004bb8845e7adbc9b2e8747ab4292be5b8ece2b95ef4a7913fa20ac8
MD5 2d930c8be6b8334c7cd811f983bbdaac
BLAKE2b-256 582b9a5e2d7db74f4e3a85527c0f88d0e598ee10195cf78c79a27490761cd36c

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