A workflow orchestration platform for data, machine learning, and AI agents. The software provides tools to build, observe, and automate data pipelines and agentic workflows by managing the execution of Python-based code. It is designed for data engineers and ML practitioners who need to coordinate complex dependencies, handle failures, and monitor execution states across distributed environments. The platform allows users to define workflows as code and then deploy them to a managed cloud service that handles the scheduling and orchestration logic. This system enables teams to maintain visibility into their data operations and ensure that automated tasks run reliably. The product is used to bridge the gap between local development and production execution for data-intensive applications. It operates as a managed service that coordinates tasks across various compute targets.
Whether you want to cut software costs or escape vendor lock-in, these open source alternatives to Prefect Cloud give you an option you fully own. You can self-host them, so your data stays on infrastructure you control. This page lists 1 open source alternative to Prefect Cloud. The most popular is Dagu. It uses the GPL-3.0 license and ships an official Docker image.
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