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Prefect

prefecthq/prefect

An open-source alternative to Fivetran.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python. (from the repository)

Stars
24,039
Licence
Apache-2.0
Last push
2026-10-18
Written in
Python

Is it alive?

Four readings from the repository, each with the rule behind it. No blended score.
Activity
Active
Last push 9 days ago
Active: pushed within 90 days. Slowing: within a year. Quiet: longer.
Releases
Recent
3.8.8, 21 days ago
Recent: a tagged release within six months. Some projects ship from the main branch and never tag.
Issues
89% closed
799 open · 6,408 closed
Share of all issues ever filed that are now closed. Under 20 issues is too few to read.
Momentum
No readings yet
24,039 stars
Change in stars across our daily readings, over up to 30 days. Needs a week of readings.

What a business may do with it

PermissiveApache-2.0

Use, change and sell it, including inside a closed product. Keep the copyright notice.

This describes the licence family GitHub identified, not legal advice about this project. The repository’s own LICENSE file is what binds you.

Run it yourself

Prefect’s README does not show a docker run, docker compose up or helm install in a code block, so this page will not guess one. It may be a desktop app, a library, or documented on its website.

Prefect against the other open-source options

Every project offered against Fivetran, most-starred first.
Prefect compared with other open-source alternatives
ProjectStarsActivityLicenceSelf-hostLanguage
Prefect (this page)24,039ActivePermissive○Python
Airbyte22,243ActiveNot identified○Python
Dagster16,295ActivePermissive○Python
All open-source alternatives to Fivetran →

Where this page comes from

  • Stars, licence, activity, issues, releases and the self-host command are read from the repository. 2026-10-19
  • The pairing with Fivetran and the category come from opensourcealternative.to, a community directory of open-source alternatives. We re-read it weekly.
  • Star momentum comes from our own daily readings of the repository. How we collect data