argo-workflows

Argo Workflows addresses the need for orchestrating complex workflows in Kubernetes, making it easier for ML and AI teams to automate their data processing tasks. This production-ready solution is designed for scalability and reliability, ensuring that engineers can manage batch jobs efficiently. Its maturity level is high, with a strong community backing and consistent updates, indicating stable interest and ongoing development. However, it may not be the best choice for teams looking for a lightweight alternative or those with simpler workflow requirements, as its capabilities can be overkill in such scenarios.

Argo Workflows is a strong choice when teams need to manage intricate workflows that require robust orchestration in a cloud-native environment. Teams should consider alternatives when their needs are simpler or when they do not require Kubernetes integration.

This open source tool for engineering teams is particularly beneficial for data engineers, ML engineers, and DevOps professionals. It is commonly integrated into data pipelines, machine learning model training systems, and any application requiring complex workflow management.

Latest commit: 2026-02-13. Over the past 97 days, this repository gained 272 stars (+1.7% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.