Open Source Workflow Orchestration Software
Workflow Orchestration software manages the execution of complex data pipelines and automated business processes. These tools coordinate a sequence of tasks, such as ETL jobs or infrastructure deployments, using directed acyclic graphs or event-driven triggers. This type of software ensures that long running processes handle failures and retries reliably. Data engineers and DevOps professionals use these apps to automate repetitive technical operations. Self-hosting these tools allows you to keep sensitive pipeline configurations and internal system credentials on your own hardware.
This page lists 8 open source tools in the Workflow Orchestration category. The most popular are Apache Airflow, Kestra and Temporal. Most use the Apache-2.0 or BSD-3-Clause license, and 7 offer an official Docker image.
Apache Airflow
Programmatically author, schedule, and monitor workflows using directed acyclic graphs to orchestrate complex data pipelines.
Kestra
Orchestrate data, AI, and infrastructure workflows using a declarative YAML interface and a large plugin ecosystem.
Temporal
A durable execution platform that manages failures and retries to ensure reliable execution of long running workflows.
Mage
Build and orchestrate data pipelines using a notebook style interface with support for Python, SQL, and R.
StackStorm
An event-driven automation platform for integrating services and taking actions in response to system events.
Dagu
Local-first workflow engine with a web interface for defining and monitoring declarative YAML based data pipelines.
µTask
An automation engine that models and executes business processes declared in a declarative yaml format.
Terrateam
Automates infrastructure plans and applies within pull requests for Terraform, OpenTofu, and Pulumi using GitOps workflows.
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