Skip to main content

Workflow orchestration and management.

Project description

PyPI

Prefect

Prefect is an orchestrator for data-intensive workflows. It's the simplest way to transform any Python function into a unit of work that can be observed and orchestrated. With Prefect, 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. Every activity is tracked and can be monitored with the Prefect server or Prefect Cloud dashboard.

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


@task(retries=3)
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!
github_stars(["PrefectHQ/Prefect"])

After running some flows, fire up the Prefect UI to see what happened:

prefect server start

From here, you can continue to use Prefect interactively or deploy your flows to remote environments, running on a scheduled or event-driven basis.

Getting Started

Prefect requires Python 3.7 or later. To install Prefect, run the following command in a shell or terminal session:

pip install prefect

Start by then exploring the core concepts of Prefect workflows, then follow one of our friendly tutorials to learn by example.

Join the community

Prefect is made possible by the fastest growing community of thousands of friendly data engineers. Join us in building a new kind of workflow system. The Prefect Slack community is a fantastic place to learn more about Prefect, ask questions, or get help with workflow design. The Prefect Discourse is a community-driven knowledge base to find answers to your Prefect-related questions. All community forums, including code contributions, issue discussions, and slack messages are subject to our Code of Conduct.

Contribute

See our documentation on contributing to Prefect.

Thanks for being part of the mission to build a new kind of workflow system and, of course, happy engineering!

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-2.10.16.tar.gz (2.3 MB view details)

Uploaded Source

Built Distribution

prefect-2.10.16-py3-none-any.whl (2.5 MB view details)

Uploaded Python 3

File details

Details for the file prefect-2.10.16.tar.gz.

File metadata

  • Download URL: prefect-2.10.16.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for prefect-2.10.16.tar.gz
Algorithm Hash digest
SHA256 bf3891c762f4d0398781fa9c2c3684d86bf42c70bb3052e5fcad34731d6a2393
MD5 5b40627a1106a424f9abb23a2f600e69
BLAKE2b-256 7a9c33668ceb1451884381b539e2c6d6ff9f0dc785b4bb0c37fc65ebdbf7b191

See more details on using hashes here.

File details

Details for the file prefect-2.10.16-py3-none-any.whl.

File metadata

  • Download URL: prefect-2.10.16-py3-none-any.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for prefect-2.10.16-py3-none-any.whl
Algorithm Hash digest
SHA256 deb8e8161ca76a9eef9e965defd24366753d7ea97fbf9695388016c5de372207
MD5 27fa03bfd36c7794b945a1c09edf358d
BLAKE2b-256 60afdf3361f2253c60e3ded0a5459286a545508113e2cba6ba5e510e3c929b93

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