StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Argo vs Helios

Argo vs Helios

OverviewComparisonAlternatives

Overview

Helios
Helios
Stacks21
Followers74
Votes0
GitHub Stars2.2K
Forks233
Argo
Argo
Stacks761
Followers470
Votes6

Argo vs Helios: What are the differences?

# Introduction
When comparing Argo and Helios, it is crucial to understand the key differences between these two container management platforms.

1. **Architecture**: Argo utilizes a declarative workflow specification format, allowing users to define complex pipelines using YAML files, while Helios follows a simpler approach by utilizing a command-line interface for container management tasks.
2. **Support for Kubernetes**: Argo is specifically designed to integrate seamlessly with Kubernetes, providing features like CRD (Custom Resource Definition) controllers, which Helios lacks. This makes Argo more suitable for Kubernetes-centric environments.
3. **Workflow Management**: Argo offers a dedicated workflow controller that enables users to define, execute, and monitor complex workflows, while Helios focuses primarily on container lifecycle management, lacking dedicated workflow management capabilities.
4. **Community Support**: Argo benefits from a larger and more active open-source community, leading to frequent updates, bug fixes, and new features, whereas Helios may have a smaller community, resulting in slower development cycles.
5. **User Interface**: Argo provides a user-friendly and intuitive web-based UI for managing workflows and pipelines, offering a more visually appealing and interactive experience for users compared to Helios, which relies on CLI for most interactions.

In Summary, Argo and Helios differ significantly in terms of architecture, Kubernetes support, workflow management, community support, and user interface, catering to different needs and preferences in the container management space. 

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Helios
Helios
Argo
Argo

Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers.

Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).

Helios is pragmatic.; Helios fits into the way you already do ops.;Hihgly scalable
DAG or Steps based declaration of workflows;Artifact support (S3, Artifactory, HTTP, Git, raw);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 limits;Daemoned steps;DinD (docker-in-docker);Script steps
Statistics
GitHub Stars
2.2K
GitHub Stars
-
GitHub Forks
233
GitHub Forks
-
Stacks
21
Stacks
761
Followers
74
Followers
470
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
Integrations
Docker
Docker
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Helios, Argo?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana