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markdownlint-disable-next-line MD041 --\u003e\n[![Security Status](https://github.com/argoproj/argo-workflows/actions/workflows/snyk.yml/badge.svg?branch=main)](https://github.com/argoproj/argo-workflows/actions/workflows/snyk.yml?query=branch%3Amain)\n[![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/3830/badge)](https://bestpractices.coreinfrastructure.org/projects/3830)\n[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/argoproj/argo-workflows/badge)](https://api.securityscorecards.dev/projects/github.com/argoproj/argo-workflows)\n[![FOSSA License Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Fargoproj%2Fargo-workflows.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2Fargoproj%2Fargo-workflows?ref=badge_shield)\n[![Slack](https://img.shields.io/badge/slack-argoproj-brightgreen.svg?logo=slack)](https://argoproj.github.io/community/join-slack)\n[![X Follow](https://img.shields.io/twitter/follow/argoproj?style=social)](https://x.com/argoproj)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-argoproj-blue.svg?logo=linkedin)](https://www.linkedin.com/company/argoproj/)\n[![Bluesky](https://img.shields.io/badge/Bluesky-argoproj-blue.svg?style=social\u0026logo=bluesky)](https://bsky.app/profile/argoproj.bsky.social)\n[![Release Version](https://img.shields.io/github/v/release/argoproj/argo-workflows?label=argo-workflows)](https://github.com/argoproj/argo-workflows/releases/latest)\n[![Artifact HUB](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/argo-workflows)](https://artifacthub.io/packages/helm/argo/argo-workflows)\n\n## What is Argo Workflows?\n\nArgo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.\nArgo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).\n\n* Define workflows where each step is a container.\n* Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG).\n* Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.\n\nArgo is a [Cloud Native Computing Foundation (CNCF)](https://cncf.io/) graduated project.\n\n## Use Cases\n\n* [Machine Learning pipelines](https://argo-workflows.readthedocs.io/en/latest/use-cases/machine-learning/)\n* [Data and batch processing](https://argo-workflows.readthedocs.io/en/latest/use-cases/data-processing/)\n* [Infrastructure automation](https://argo-workflows.readthedocs.io/en/latest/use-cases/infrastructure-automation/)\n* [CI/CD](https://argo-workflows.readthedocs.io/en/latest/use-cases/ci-cd/)\n* [Other use cases](https://argo-workflows.readthedocs.io/en/latest/use-cases/other/)\n\n## Why Argo Workflows?\n\n* Argo Workflows is the most popular workflow execution engine for Kubernetes.\n* Light-weight, scalable, and easier to use.\n    * Including for Python users through [the Hera Python SDK for Argo Workflows](https://hera.readthedocs.io/en/stable/).\n* Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.\n* Cloud agnostic and can run on any Kubernetes cluster.\n\n[Read what people said in our latest survey](https://blog.argoproj.io/argo-workflows-events-2023-user-survey-results-82c53bc30543)\n\n## Try Argo Workflows\n\nYou can try Argo Workflows via one of the following:\n\n1. [Interactive Training Material](https://killercoda.com/argoproj/course/argo-workflows/)\n1. [Access the demo environment](https://workflows.apps.argoproj.io/workflows/argo)\n\n![Screenshot](docs/assets/screenshot.png)\n\n## Who uses Argo Workflows?\n\n[About 200+ organizations are officially using Argo Workflows](USERS.md)\n\n## Ecosystem\n\nJust some of the projects that use or rely on Argo Workflows (complete list [here](https://github.com/akuity/awesome-argo#ecosystem-projects)):\n\n* [Argo Events](https://github.com/argoproj/argo-events)\n* [Couler](https://github.com/couler-proj/couler)\n* [Hera](https://github.com/argoproj-labs/hera-workflows)\n* [Katib](https://github.com/kubeflow/katib)\n* [Kedro](https://kedro.readthedocs.io/en/stable/)\n* [Kubeflow Pipelines](https://github.com/kubeflow/pipelines)\n* [Netflix Metaflow](https://metaflow.org)\n* [Onepanel](https://github.com/onepanelio/onepanel)\n* [Orchest](https://github.com/orchest/orchest/)\n* [Piper](https://github.com/quickube/piper)\n* [Ploomber](https://github.com/ploomber/ploomber)\n* [Seldon](https://github.com/SeldonIO/seldon-core)\n* [SQLFlow](https://github.com/sql-machine-learning/sqlflow)\n\n## Client Libraries\n\nCheck out our [Java, Golang, Python (Hera), and Typescript (Juno) clients](docs/client-libraries.md).\n\n## Quickstart\n\n* [Get started here](https://argo-workflows.readthedocs.io/en/latest/quick-start/)\n* [Walk-through examples](https://argo-workflows.readthedocs.io/en/latest/walk-through/)\n\n## Documentation\n\n[View the docs](https://argo-workflows.readthedocs.io/en/latest/)\n\n## Features\n\nAn incomplete list of features Argo Workflows provides:\n\n* UI to visualize and manage Workflows\n* Artifact support (S3, Artifactory, Alibaba Cloud OSS, Azure Blob Storage, HTTP, Git, GCS, raw, plugins)\n* Workflow templating to store commonly used Workflows in the cluster\n* Archiving Workflows after executing for later access\n* Scheduled workflows using cron\n* Server interface with REST API (HTTP and GRPC)\n* DAG or Steps based declaration of workflows\n* Step level input \u0026 outputs (artifacts/parameters)\n* Loops\n* Parameterization\n* Conditionals\n* Timeouts (step \u0026 workflow level)\n* Retry (step \u0026 workflow level)\n* Resubmit (memoized)\n* Suspend \u0026 Resume\n* Cancellation\n* K8s resource orchestration\n* Exit Hooks (notifications, cleanup)\n* Garbage collection of completed workflow\n* Scheduling (affinity/tolerations/node selectors)\n* Volumes (ephemeral/existing)\n* Parallelism limits\n* Daemoned steps\n* DinD (docker-in-docker)\n* Script steps\n* Event emission\n* Prometheus metrics\n* Multiple executors\n* Multiple pod and workflow garbage collection strategies\n* Automatically calculated resource usage per step\n* Java, Golang, Python (Hera), and Typescript (Juno) SDKs\n* Pod Disruption Budget support\n* Single-sign on (OAuth2/OIDC)\n* Webhook triggering\n* CLI\n* Out-of-the box and custom Prometheus metrics\n* Windows container support\n* Embedded widgets\n* Multiplex log viewer\n\n## Community Meetings\n\nWe host monthly community meetings where we and the community showcase demos and discuss the current and future state of the project. Feel free to join us!\nFor Community Meeting information, minutes and recordings, please [see here](https://bit.ly/argo-wf-cmty-mtng).\n\nParticipation in Argo Workflows is governed by the [CNCF Code of Conduct](https://github.com/cncf/foundation/blob/master/code-of-conduct.md)\n\n## Community Blogs and Presentations\n\n* [Awesome-Argo: A Curated List of Awesome Projects and Resources Related to Argo](https://github.com/terrytangyuan/awesome-argo)\n* [Automation of Everything - How To Combine Argo Events, Workflows \u0026 Pipelines, CD, and Rollouts](https://youtu.be/XNXJtxkUKeY)\n* [Argo Workflows and Pipelines - CI/CD, Machine Learning, and Other Kubernetes Workflows](https://youtu.be/UMaivwrAyTA)\n* [Argo Ansible role: Provisioning Argo Workflows on OpenShift](https://medium.com/@marekermk/provisioning-argo-on-openshift-with-ansible-and-kustomize-340a1fda8b50)\n* [Argo Workflows vs Apache Airflow](http://bit.ly/30YNIvT)\n* [Beyond Prototypes: Production-Ready ML Systems with Metaflow and Argo](https://github.com/terrytangyuan/public-talks/tree/main/talks/kubecon-na-2023-metaflow-argo)\n* [CI/CD with Argo on Kubernetes](https://medium.com/@bouwe.ceunen/ci-cd-with-argo-on-kubernetes-28c1a99616a9)\n* [Define Your CI/CD Pipeline with Argo Workflows](https://haque-zubair.medium.com/define-your-ci-cd-pipeline-with-argo-workflows-25aefb02fa63)\n* [Distributed Machine Learning Patterns from Manning Publication](https://github.com/terrytangyuan/distributed-ml-patterns)\n* [Engineering Cloud Native AI Platform](https://github.com/terrytangyuan/public-talks/tree/main/talks/platform-con-2024-engineering-cloud-native-ai-platform)\n* [Managing Thousands of Automatic Machine Learning Experiments with Argo and Katib](https://github.com/terrytangyuan/public-talks/blob/main/talks/argocon-automl-experiments-2022)\n* [Autonomous Driving Data Pipelines Reconstruction With Argo Workflows](https://www.youtube.com/watch?v=oTgIQxbsLhU)\n* [Revolutionizing Scientific Simulations with Argo Workflows](https://www.youtube.com/watch?v=BYVf7GhfiRg)\n* [Running Argo Workflows Across Multiple Kubernetes Clusters](https://admiralty.io/blog/running-argo-workflows-across-multiple-kubernetes-clusters/)\n* [Scaling Kubernetes: Best Practices for Managing Large-Scale Batch Jobs with Spark and Argo Workflow](https://www.youtube.com/watch?v=KqEKRPjy4aE)\n* [Open Source Model Management Roundup: Polyaxon, Argo, and Seldon](https://www.anaconda.com/blog/developer-blog/open-source-model-management-roundup-polyaxon-argo-and-seldon/)\n* [Producing 200 OpenStreetMap extracts in 35 minutes using a scalable data workflow](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)\n* [Production-Ready AI Platform on Kubernetes](https://github.com/terrytangyuan/public-talks/tree/main/talks/kubecon-europe-2024-production-ai-platform-on-k8s)\n* [Argo integration review](http://dev.matt.hillsdon.net/2018/03/24/argo-integration-review.html)\n* TGI Kubernetes with Joe Beda: [Argo workflow system](https://www.youtube.com/watch?v=M_rxPPLG8pU\u0026start=859)\n\n## Project Resources\n\n* [Argo Project GitHub organization](https://github.com/argoproj)\n* [Argo Website](https://argoproj.github.io/)\n* [Argo Slack](https://argoproj.github.io/community/join-slack)\n\n## Security\n\nSee [SECURITY.md](SECURITY.md).\n","funding_links":[],"categories":["HarmonyOS","Go","Large Scale Deployment","Workflow","Ecosystem Projects","Data Pipeline","Full fledged product","Uncategorized","其他__大数据","Building","Crontab","machine-learning","Back-End Development","workflow","Platform Engineering 平台工程","Workflow Orchestration","☁️ Cloud Platforms \u0026 Infrastructure","Projects"],"sub_categories":["Windows Manager","Workflow","Uncategorized","网络服务_其他","Workflows","CI/CD","LangManus","Tools","Workflow Engine"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fargoproj%2Fargo-workflows","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fargoproj%2Fargo-workflows","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fargoproj%2Fargo-workflows/lists"}