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-3.1.2.dev2.tar.gz (5.9 MB view details)

Uploaded Source

Built Distribution

prefect-3.1.2.dev2-py3-none-any.whl (6.1 MB view details)

Uploaded Python 3

File details

Details for the file prefect-3.1.2.dev2.tar.gz.

File metadata

  • Download URL: prefect-3.1.2.dev2.tar.gz
  • Upload date:
  • Size: 5.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for prefect-3.1.2.dev2.tar.gz
Algorithm Hash digest
SHA256 b67e900e723cd4ce0f38922fb0bfbe6b1175db1dfeec9b63b0f5258669975a5a
MD5 42d75e2a2d6225917f886709cd27fcf5
BLAKE2b-256 f7e0641db840d7783ba6288c200bd6b8816a572c112650da92405708d4817f6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for prefect-3.1.2.dev2.tar.gz:

Publisher: GitHub
  • Repository: PrefectHQ/prefect
  • Workflow: python-package.yaml
Attestations:
  • Statement type: https://in-toto.io/Statement/v1
    • Predicate type: https://docs.pypi.org/attestations/publish/v1
    • Subject name: prefect-3.1.2.dev2.tar.gz
    • Subject digest: b67e900e723cd4ce0f38922fb0bfbe6b1175db1dfeec9b63b0f5258669975a5a
    • Transparency log index: 148319696
    • Transparency log integration time:

File details

Details for the file prefect-3.1.2.dev2-py3-none-any.whl.

File metadata

  • Download URL: prefect-3.1.2.dev2-py3-none-any.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for prefect-3.1.2.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 77fb1665371184ff8b4248fdb5b36f2e3998ea9c6bcd8d87ae62afb7d77f7bb2
MD5 0fe40b3118ff61725df27470323c79c7
BLAKE2b-256 217b468e40725f8fd45319b491ccca7e009e7ea033d6afd8fe23fc1474a83ea5

See more details on using hashes here.

Provenance

The following attestation bundles were made for prefect-3.1.2.dev2-py3-none-any.whl:

Publisher: GitHub
  • Repository: PrefectHQ/prefect
  • Workflow: python-package.yaml
Attestations:
  • Statement type: https://in-toto.io/Statement/v1
    • Predicate type: https://docs.pypi.org/attestations/publish/v1
    • Subject name: prefect-3.1.2.dev2-py3-none-any.whl
    • Subject digest: 77fb1665371184ff8b4248fdb5b36f2e3998ea9c6bcd8d87ae62afb7d77f7bb2
    • Transparency log index: 148319697
    • Transparency log integration time:

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