awesome-workflow-engines is a comprehensive collection of open-source workflow engines. This repository aims to provide developers and data engineers with a curated list of tools for building and managing automated workflows. The engines listed support a variety of use cases, from simple task scheduling to complex data pipelines and business process automation. The primary focus is on providing a diverse range of options that cater to different needs and technical requirements.
This list encompasses engines with various strengths, ranging from simple to complex, and supporting different programming languages and deployment environments. The inclusion criteria prioritize projects with active development, strong community support, and demonstrable real-world applications. The list covers a wide spectrum of approaches, including BPMN-based engines, task-based orchestrators, and function-as-workflow frameworks. The effort aims to be constantly updated to reflect the evolving landscape of workflow automation.
- Activepieces: No-code business automation platform for building workflows.
- Airflow: Python-based platform for programming, scheduling, and monitoring workflows.
- Camunda: BPMN-based workflow engine with a graphical modeler.
- Dapr Workflows: Workflow-as-code framework for building durable, long-running applications.
The projects listed vary in maturity, with some having years of active development and large communities (e.g., Airflow, Camunda). Others are newer but show promising growth and active maintenance. The repository focuses on highlighting projects that have a reasonable level of community support, regular updates, and sufficient documentation. The selection considers factors like release frequency, issue resolution times, and the overall health of the project ecosystem.
This repository is beneficial for developers seeking workflow automation solutions. It helps users discover and compare various workflow engines based on features, supported platforms, and community support. It is particularly useful for those looking to automate tasks, orchestrate complex processes, or build data pipelines, offering a starting point for selecting an appropriate tool for their specific needs.