# Prefect

> Workflow orchestration for Python

Build resilient data pipelines with retries and observability.

- Source: https://github.com/PrefectHQ/prefect
- Homepage: https://prefect.io
- License: Apache-2.0
- Language: Python
- Stars: 23967
- Forks: 2554
- Contributors: 467
- Last commit: 2026-10-02
- Latest release: 3.8.7 (2026-09-26)
- Purpose: Automation, Data & analytics
- Runs on: Docker / self-host, Library / SDK
- For: Enterprise

## Worth score: 85/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 22/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 13/15
- Readiness: 15/15

## Alternatives

- [Apache Airflow](https://diggithub.com/apache/airflow.md): Author, schedule and monitor workflows
- [Mage](https://diggithub.com/mage-ai/mage-ai.md): Build and run data pipelines
- [Kestra](https://diggithub.com/kestra-io/kestra.md): Event-driven orchestration platform
- [Dagster](https://diggithub.com/dagster-io/dagster.md): Orchestration for data assets
- [Airbyte](https://diggithub.com/airbytehq/airbyte.md): Open-source data movement
- [Argo Workflows](https://diggithub.com/argoproj/argo-workflows.md): Workflow engine for Kubernetes
- [Apache Superset](https://diggithub.com/apache/superset.md): Enterprise-ready data exploration and visualization
- [Scrapling](https://diggithub.com/D4Vinci/Scrapling.md): Adaptive web scraping framework for Python

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Source page: https://diggithub.com/PrefectHQ/prefect
Updated: 2026-10-05