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argo-workflows

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argoproj/argo-workflows

Workflow Engine for Kubernetes

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Go Apache-2.0Created Aug 21, 2017

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Overview

Workflow Engine for Kubernetes

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

Languages
go

Source: github.language · Jul 11, 2026

Categories

LLM FrameworksAI AgentsModel Training

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

* Including for Python users through [the Hera Python SDK for Argo Workflows](https://hera.readthedocs.
Source link

Tags

argo-workflowsdagbatch-processingdata-engineeringcloud-nativeairflowcncfargo

README

What is Argo Workflows?

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).

  • Define workflows where each step is a container.
  • Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG).
  • Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.

Argo is a Cloud Native Computing Foundation (CNCF) graduated project.

Use Cases

Why Argo Workflows?

  • Argo Workflows is the most popular workflow execution engine for Kubernetes.
  • Light-weight, scalable, and easier to use.
  • Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.
  • Cloud agnostic and can run on any Kubernetes cluster.

Read what people said in our latest survey

Try Argo Workflows

You can try Argo Workflows via one of the following:

  1. Interactive Training Material
  2. Access the demo environment

Who uses Argo Workflows?

About 200+ organizations are officially using Argo Workflows

Ecosystem

Just some of the projects that use or rely on Argo Workflows (complete list here):

Client Libraries

Check out our Java, Golang, Python (Hera), and Typescript (Juno) clients.

Quickstart

Documentation

View the docs

Features

An incomplete list of features Argo Workflows provides:

  • UI to visualize and manage Workflows
  • Artifact support (S3, Artifactory, Alibaba Cloud OSS, Azure Blob Storage, HTTP, Git, GCS, raw, plugins)
  • Workflow templating to store commonly used Workflows in the cluster
  • Archiving Workflows after executing for later access
  • Scheduled workflows using cron
  • Server interface with REST API (HTTP and GRPC)
  • DAG or Steps based declaration of workflows
  • Step level input & outputs (artifacts/parameters)
  • Loops
  • Parameterization
  • Conditionals
  • Timeouts (step & workflow level)
  • Retry (step & workflow level)
  • Resubmit (memoized)
  • Suspend & Resume
  • Cancellation
  • K8s resource orchestration
  • Exit Hooks (notifications, cleanup)
  • Garbage collection of completed workflow
  • Scheduling (affinity/tolerations/node selectors)
  • Volumes (ephemeral/existing)
  • Parallelism li