Argo vs Codefresh
Overview
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.
CLI (Node.js)
Manual
Detailed Comparison
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. | 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). |
Instant Dev, test and feature preview environments: Enables all team members to run any image as a standalone or composition for feature preview, manual testing, bug reproduction and more. Collaborate on features before pushing them into staging and production.;
Testing with every step: Configure your pipeline to run integration and unit tests with every step; Instantly test all code changes in the Codefresh build system before pushing to staging & production. Run integration, unit tests in parallel.;
360° view of Docker images: View commit info, test results and build logs for all images; Manage Docker image labels and status, comment and see new feature branches; search and filter based on any attribute.;
Out-of-the-box Docker buildpack for all technologies: Seamlessly package your code in a Docker image. Quickly associate a Dockerfile with your repo by selecting the repository technology stack (Java, Node, PHP, etc.). Codefresh then adds a template for Dockerizing apps.;
View and Access Running Container Logs: Access each container log directly from within the Codefresh platform. This lets you easily perform root-cause analysis on failed services and allows you to see logs in high debug model level.;
Support for Docker Compose 1 & 2: Manage your Docker Compose file natively in one place, with support for both Docker Compose versions 1 and 2. Use a built-in wizard to write Docker Compose files quickly.;
YAML file support: Customize and easily define your pipeline steps using a codefresh.yml file. | 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 | |
Stacks 64 | Stacks 761 |
Followers 111 | Followers 470 |
Votes 47 | Votes 6 |
Pros & Cons | |
Pros
Cons
| Pros
|
Integrations | |
What are some alternatives to Codefresh, Argo?
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 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
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
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 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
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.
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
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 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.
Kitematic
Simple Docker App management for Mac OS X
