Alternatives

Products that do what Apache Airflow on Astronomer does

Write and deploy custom ETL pipelines in Python

1
CtrlOps▲244
Deploy, Debug & Manage Linux Servers with AI.
May 2026
2AJ
A just another Cron alternative but with much more capabilities▲7
I have created a Cron alternative that runs DAGs (Directed acyclic graph) defined in a simple YAML format. Why not Airflow? Airflow and other similar tools are powerful and valuable, but in most cases, they require writing code to manage workflows. Our ETL pipeline is already hundreds of thousands of lines of complex code in Perl and shell scripts. Adding another layer of Python on top of this would make it difficult to maintain. Instead, we needed a more lightweight solution. So we developed Dagu, which requires no coding, and is easy-to-use and self-contained, making it ideal for smaller…
2022 · github.com
3
OpsFlow▲148
Build your stack visually, no-code DevOps
2022
4FH
Free hosted open-source alternative to Zapier/Airflow▲279
2020 · cloud.titanoboa.io
5
Superflow for Web Apps▲249
Comment & collaborate on your staging deployments
2023
6
Cloudflare AutoRAG▲133
Managed RAG pipelines, made easy
2025
7
buildpipe▲116
Compose, run and automate multi step AI developer workflows
May 2026
8AC
Afctl – CLI to manage and deploy Airflow projects faster and smoother▲57
2020 · github.com
9
PipeOps▲102
No code tool for cloud deployment & infrastructure mgmt
2023
10
Nitric Deploy▲197
The right infrastructure, auto-provisioned in your cloud
2022
11AI
Airflow is cool but have you tried this for data pipelines?▲9
2022 · github.com
12PP
Panda Patrol: Open-Source Data Pipeline Monitoring in < 5 Lines of Code▲9
I’ve found that I don’t have any context about the data in my pipelines only know if the pipeline is successful or not. So I built panda-patrol which allows you to monitor each node in your DAG, use AI to generate data tests for your data, store data profiles, and more. All with this comes with dashboards and alerts. You can easily drop it into your Python-based data pipeline (i.e. Airflow, Dagster, Prefect, etc.) and just run your pipelines are you normally would — but with monitoring and more context. Hope its valuable to some people
2023 · panda-patrol.vercel.app
13
Dagster Cloud▲112
The data orchestrator that puts developer experience first
2022
14
Amazon AppFlow▲110
Securely integrate apps and automate data flows without code
2020
15
Orchest 2.0▲128
Build data pipelines, the easy way
2022
16
Hoplite▲154
Effortlessly deploy cloud software factories.
23d ago · hoplite.sh
17AA
Atlas – A deployment pipeline platform built on Argo CD▲66
Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!
2022 · greenops.io
18
IOpipe▲107
Application operations platform for serverless
2017
19
HiveTerm▲86
One workspace for Claude, Codex, Gemini and your stack
May 2026
20
LaunchFlow▲98
The self-serve infrastructure catalog
2024
21
Tinybird Versions▲127
Iterate your real-time data pipelines with Git
2023
22
Defang V3▲46
One command deploys your app to any AWS or GCP account.
Jan 2026
23SL
SystemFlow – Like Tailwind, but for Webflow▲33
2020 · systemflow.co
24VA
Visualize Airflow's schedule by exporting future DAG runs to GCalendar▲37
2020 · github.com

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