Apache Airflow
Programmatically author, schedule, and monitor workflows as code
- Stars
- 44,534
- License
- Apache-2.0
- Last commit
- 3 hours ago
PythonActive
Best Workflow Orchestration Tools Tools
Workflow managers for scheduling and orchestrating data pipelines.
Top Open Source Workflow Orchestration Tools platforms
Conductor
Scalable orchestration engine for resilient microservice workflows
- Stars
- 31,495
- License
- Apache-2.0
- Last commit
- 16 hours ago
JavaActive
Kestra
Event-Driven Declarative Orchestration Platform for Modern Workflows
- Stars
- 26,495
- License
- Apache-2.0
- Last commit
- 1 day ago
JavaActive
Prefect
Pythonic workflow engine for resilient, observable data pipelines
- Stars
- 21,787
- License
- Apache-2.0
- Last commit
- 6 hours ago
PythonActive
- Stars
- 15,950
- License
- —
- Last commit
- 4 hours ago
HTMLActive
Dagster
Cloud-native orchestrator for developing and maintaining data assets
- Stars
- 15,059
- License
- Apache-2.0
- Last commit
- 5 hours ago
PythonActive
Most starred project
44,534★
Programmatically author, schedule, and monitor workflows as code
Recently updated
3 hours ago
Apache Airflow is a platform for orchestrating complex workflows through code-defined DAGs, featuring a rich UI, extensible operators, and robust scheduling for batch data pipelines.
Leading Workflow Orchestration Tools SaaS platforms
Astronomer
Managed Apache Airflow service for orchestrating and monitoring data pipelines in the cloud
Workflow Orchestration Tools
Alternatives tracked
15 alternatives
Dagster
Data orchestration framework for building reliable pipelines
Workflow Orchestration Tools
Alternatives tracked
15 alternatives
ServiceNow
Enterprise workflow and IT service management
Workflow Orchestration Tools
Alternatives tracked
15 alternatives
Temporal
Durable execution workflow platform for orchestrating reliable microservices
Workflow Orchestration Tools
Alternatives tracked
15 alternatives
Most compared product
10+ open-source alternatives
Astronomer is a managed workflow orchestration platform built on Apache Airflow, providing a cloud service for scheduling and monitoring data pipelines. It offers enhanced observability, scalability, and a control plane for Airflow, allowing data engineering teams to easily deploy and manage their Airflow DAGs with enterprise support and less infrastructure overhead.
Leading hosted platforms
Frequently replaced when teams want private deployments and lower TCO.