What is Prefect used for?

Prefect is a Python workflow orchestration framework for turning scripts into resilient, observable data pipelines with scheduling, retries, caching and event-driven automation. It is a good fit for production data pipelines in Python, ML workflows needing retries and observability, and replacing cron scripts with managed workflows.

Is Prefect open source?

Yes. Prefect is open source under the Apache-2.0 licence. Its source code is on GitHub at PrefectHQ/prefect and is written mainly in Python.

Yes. Prefect is open source, so the software itself is free to use. A managed cloud version is also available, with paid plans from $100 per month.

Can I self-host Prefect?

Yes. Prefect can be self-hosted on your own server or infrastructure.

What is Prefect an alternative to?

Prefect is an open-source alternative to Astronomer and Azure Data Factory. Other open-source alternatives to Astronomer include Airflow, Dagster and Kestra.

Is Prefect actively maintained?

Yes. The most recent commit to Prefect was on 2 October 2026, and the latest release is 3.8.7, published on 26 September 2026. The project has 24k stars on GitHub.

Prefect: open-source alternative to Astronomer

About Prefect

Prefect is a Python framework for orchestrating workflows and building data pipelines. It aims to be the simplest way to lift an ordinary script into a production workflow: you add flow and task decorators, and Prefect adds the machinery that makes pipelines dependable and visible.

That machinery includes scheduling, caching, retries and event-based automations, and flows can express dependencies and complex branching logic. The goal is dynamic pipelines that react to changes in the world and recover from unexpected failures. Run activity is tracked, and you can monitor it from a self-hosted Prefect server or from the managed Prefect Cloud dashboard. Prefect requires Python 3.10 or newer, and the documentation covers installation, quickstart, building and deploying workflows and agent setup.

Prefect is licensed under Apache-2.0. Topics list data engineering, ML ops and observability among its uses. It is aimed at data teams who prefer to write workflows as plain Python code, and who want a choice between running the orchestrator themselves or using a hosted control plane.

Key features

Flows and tasks defined with Python decorators
Scheduling and event-based automations
Automatic retries and caching
Complex branching and dependencies
Self-hosted server or Prefect Cloud monitoring
Deployment of workflows to infrastructure

Good fit for

→Production data pipelines in Python
→ML workflows needing retries and observability
→Replacing cron scripts with managed workflows

Built with: Python
Tags: workflow-orchestration; data-pipelines; python; data-engineering; scheduling; mlops; observability; automation

Prefect: questions and answers

What is Prefect used for?: Prefect is a Python workflow orchestration framework for turning scripts into resilient, observable data pipelines with scheduling, retries, caching and event-driven automation. It is a good fit for production data pipelines in Python, ML workflows needing retries and observability, and replacing cron scripts with managed workflows.
Is Prefect open source?: Yes. Prefect is open source under the Apache-2.0 licence. Its source code is on GitHub at PrefectHQ/prefect and is written mainly in Python.
Is Prefect free?: Yes. Prefect is open source, so the software itself is free to use. A managed cloud version is also available, with paid plans from $100 per month.
Can I self-host Prefect?: Yes. Prefect can be self-hosted on your own server or infrastructure.
What is Prefect an alternative to?: Prefect is an open-source alternative to Astronomer and Azure Data Factory. Other open-source alternatives to Astronomer include Airflow, Dagster and Kestra.
Is Prefect actively maintained?: Yes. The most recent commit to Prefect was on 2 October 2026, and the latest release is 3.8.7, published on 26 September 2026. The project has 24k stars on GitHub.