
Apache Airflow
Programmatically author, schedule, and monitor workflows as code
- Stars
- 43,394
- License
- Apache-2.0
- Last commit
- 3 days ago
Explore leading tools in the Workflow Orchestration Tools category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
10+ open-source projects · 4 SaaS products
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.

Programmatically author, schedule, and monitor workflows as code

Scalable orchestration engine for resilient microservice workflows

Event-Driven Declarative Orchestration Platform for Modern Workflows

Pythonic workflow engine for resilient, observable data pipelines

Cloud-native orchestrator for developing and maintaining data assets
Programmatically author, schedule, and monitor workflows as code
Windmill lets developers define Python, TypeScript, Go, Bash, SQL or GraphQL scripts, auto-generates UI, chains them into workflows, and self-hosts a fast, sandboxed execution engine.
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
Managed Apache Airflow service for orchestrating and monitoring data pipelines in the cloud
Data orchestration framework for building reliable pipelines
Enterprise workflow and IT service management
Durable execution workflow platform for orchestrating reliable microservices
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.
Frequently replaced when teams want private deployments and lower TCO.
Browse neighbouring categories in Data Engineering to widen your evaluation.