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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Kopf vs Moby

Kopf vs Moby

OverviewComparisonAlternatives

Overview

Moby
Moby
Stacks38
Followers57
Votes0
GitHub Stars71.0K
Forks18.8K
Kopf
Kopf
Stacks2
Followers3
Votes0
GitHub Stars2.5K
Forks180

Kopf vs Moby: What are the differences?

What is Kopf? A Python framework to write Kubernetes operators in just a few lines of code. It is a framework and a library to make Kubernetes operators development easier, just in a few lines of Python code The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic)..

What is Moby? A new upstream project to break up Docker into independent components. Moby is a project which provides a “Lego set” of dozens of components, the framework for assembling them into custom container-based systems, and a place for all container enthusiasts to experiment and exchange ideas. Docker the product will be assembled from components that are packaged by the Moby project.

Kopf and Moby belong to "Container Tools" category of the tech stack.

Moby is an open source tool with 57.9K GitHub stars and 16.7K GitHub forks. Here's a link to Moby's open source repository on GitHub.

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Detailed Comparison

Moby
Moby
Kopf
Kopf

Moby is a project which provides a “Lego set” of dozens of components, the framework for assembling them into custom container-based systems, and a place for all container enthusiasts to experiment and exchange ideas. Docker the product will be assembled from components that are packaged by the Moby project.

It is a framework and a library to make Kubernetes operators development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).

Orchestration; Image Management; Secret Management; Configuration Management; Networking; Provisioning
Simple, but powerful; Intuitive mapping of Python concepts to Kubernetes concepts and back; Support anything that exists in K8s; All the ways of handling that a developer can wish for; Eventual consistency of handling; Extra toolkits and integrations
Statistics
GitHub Stars
71.0K
GitHub Stars
2.5K
GitHub Forks
18.8K
GitHub Forks
180
Stacks
38
Stacks
2
Followers
57
Followers
3
Votes
0
Votes
0
Integrations
Docker
Docker
Kubernetes
Kubernetes
Python
Python

What are some alternatives to Moby, Kopf?

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.

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