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Couler
Unified interface for constructing and managing workflows on different workflow engines.

About Couler
Couler is an open-source repository that provides a unified interface for constructing and optimizing machine learning workflows across different workflow engines. The project names Argo Workflows, Tekton Pipelines, and Apache Airflow as engines it aims to support. It describes capabilities including autonomous workflow construction, automatic artifact caching, automatic parallelism optimization for large workflows, and automatic hyperparameter tuning.
The project states that it currently supports only Argo Workflows as its workflow orchestration backend. Airflow support is under active development, and the project reports that it covers about 40-50% of the Airflow API. Couler is listed in the CNCF Cloud Native Landscape and the LF AI Landscape. For access to all Argo Workflows features, the project points users to a low-level Python SDK maintained by the Argo Workflows team.
Key features
- Unified interface for constructing workflows across multiple workflow engines
- Autonomous workflow construction
- Automatic artifact caching mechanisms
- Automatic parallelism optimization for large workflows
- Automatic hyperparameter tuning
- Open-source repository
- Listed in the CNCF Cloud Native Landscape and the LF AI Landscape
- Has a technical report published at ICDE 2024
- Currently supports only Argo Workflows as the orchestration backend
- Airflow support covers about 40-50% of the Airflow API, according to the project
Couler at a glance
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Couler FAQ
Which workflow engines does Couler support?
Who uses Couler?
Is there a Python SDK that exposes all Argo Workflows features?
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