prefect
Workflow orchestration and management.
Decision gist · record as of 2026-08-14
Yes. Prefect is actively maintained, has no known vulnerabilities, installs with low friction, and is widely used (top 5000 PyPI packages). It solves a real problem—turning ad-hoc scripts into production workflows—with a clean API and strong community support. The 57 dependencies are a trade-off for a complete orchestration platform, but justified if you need scheduling, retries, and monitoring. Start with it if you're building data pipelines or automating recurring tasks.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- To monitor workflow runs, you must start a Prefect server (prefect server start) or connect to Prefect Cloud.
- Low friction installation as a pure Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). You can use, modify, and distribute Prefect freely in commercial and private projects with minimal restrictions.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 23,623 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 12,445,508 downloads/mo, #1,320 on PyPI
Alternatives
Verify before relying
pip install prefect
from prefect import flow, task
import httpx
@task
def fetch_data(url: str):
return httpx.get(url).json()
@flow
def my_pipeline():
data = fetch_data("https://api.example.com/data")
return data
if __name__ == "__main__":
my_pipeline()- Whether the 57 runtime dependencies can be selectively installed or if lighter distributions exist for minimal deployments.
- Performance characteristics and scalability limits for high-volume task execution.
- Integration breadth with external systems beyond what the description mentions.
What it is and what it does
Prefect is a workflow orchestration framework that lets you define data pipelines as Python functions decorated with @flow and @task. It handles the operational complexity of production workflows—scheduling, retries, error handling, caching, and dependency management—so you can focus on the business logic. Workflows can be run locally, deployed to production environments, or triggered by events.
The framework includes a self-hosted server and UI for monitoring, or you can use Prefect Cloud for managed orchestration. It integrates with common data tools and supports complex branching, conditional execution, and dynamic task generation. At its core, Prefect transforms a simple Python script into a resilient, observable, and maintainable data pipeline with minimal code changes.
Use it for
- Schedule recurring ETL jobs to run on a cron schedule and monitor their execution from a web dashboard.
- Build data pipelines that automatically retry failed tasks and skip cached results to reduce compute costs.
- Trigger workflows in response to external events or API calls rather than on a fixed schedule.
- Deploy multi-step data processing pipelines across distributed workers with centralized orchestration and logging.
- Add observability and error tracking to existing Python scripts without rewriting the core logic.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Prefect is actively maintained, has no known vulnerabilities, installs with low friction, and is widely used (top 5000 PyPI packages). It solves a real problem—turning ad-hoc scripts into production workflows—with a clean API and strong community support. The 57 dependencies are a trade-off for a complete orchestration platform, but justified if you need scheduling, retries, and monitoring. Start with it if you're building data pipelines or automating recurring tasks.
Install
prefect on PyPI
Before you install
Low friction installation as a pure Python wheel. Active maintenance with a release within the last day and 23623 repository stars. Requires Python 3.10 or later. Brings in 57 runtime dependencies including FastAPI, httpx, and database drivers, which is substantial but typical for a full orchestration platform.
Requires Python 3.10 or later. To monitor workflow runs, you must start a Prefect server (prefect server start) or connect to Prefect Cloud.
License in practice
Licensed under Apache-2.0 (permissive). You can use, modify, and distribute Prefect freely in commercial and private projects with minimal restrictions.
Quickstart
pip install prefect
from prefect import flow, task
import httpx
@task
def fetch_data(url: str):
return httpx.get(url).json()
@flow
def my_pipeline():
data = fetch_data("https://api.example.com/data")
return data
if __name__ == "__main__":
my_pipeline()Verify before relying
- Whether the 57 runtime dependencies can be selectively installed or if lighter distributions exist for minimal deployments.
- Performance characteristics and scalability limits for high-volume task execution.
- Integration breadth with external systems beyond what the description mentions.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 57 packagesaiosqlitealembicamplitude-analyticsanyioappriseasgi-lifespanasyncpgcachetoolsclickcloudpicklecoolnamecryptographycycloptsdateparserdockerexceptiongroupfastapifsspecgraphvizgriffehttpcorehttpxhumanizejinja2-humanize-extensionjinja2jsonpatchjsonschemaopentelemetry-apiorjsonpackaging |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 12,445,508 / month, #1,320 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries |
Evidence: prefect-3.8.3-py3-none-any.whl
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See also prefect-client · prefect-dbt · prefect-cloud · prefect-dask · prefect-azure · prefect-sqlalchemy · prefect-redis · prefect-slack · prefect-email · prefect-gcp