Apache Airflow is a workflow orchestration platform to define, schedule, and monitor data pipelines and other batch jobs using Python-defined DAGs.
46.3k stars17.5k forksApache-2.0last commit Actively maintained
5 self-hosted Astronomer alternatives
Managed Apache Airflow platform for scheduling and orchestrating data workflows in the cloud. Provides hosted Airflow deployments, autoscaling, monitoring/observability, CI/CD for DAGs, multi-environment deployments, and governance for running ETL and data pipeline workloads.
Alternatives to Astronomer
#2
Declarative, API-first orchestration platform for scheduled and event-driven workflows with a plugin ecosystem, UI editor, CI/CD and Terraform integration.
27.5k stars2.8k forksApache-2.0last commit Actively maintained
#3
Open-source runbook automation platform to schedule jobs, orchestrate workflows, and provide controlled self-service operations via web UI and API.
6.2k stars985 forksApache-2.0last commit Actively maintained
#4
Portable, file-backed workflow orchestrator that defines DAGs in declarative YAML, runs anywhere as a single binary, and includes a modern Web UI for monitoring and control.
3.7k stars297 forksGPL-3.0last commit Actively maintained
#5
On-premises IT task scheduler to centralize, schedule, and run scripts and commands across servers via SSH/WinRM, with workflows, logs, notifications, and an API.
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What replacing Astronomer actually involves
Every option on this page is open source and free to run on your own hardware, so you own the data and there is no subscription to cancel. 4 of 5 shipped a commit in the last six months. Licences in this list: Apache-2.0, GPL-3.0. In exchange you take on hosting, backups and updates yourself.
Browse everything in Automation & Workflow Builders (Low-code).
