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  5. Codefresh vs Earthly

Codefresh vs Earthly

OverviewComparisonAlternatives

Overview

Codefresh
Codefresh
Stacks64
Followers111
Votes47
Earthly
Earthly
Stacks9
Followers14
Votes0
GitHub Stars11.9K
Forks439

Codefresh vs Earthly: What are the differences?

Codefresh vs Earthly

Codefresh and Earthly are both popular tools in the DevOps ecosystem. While they share some similarities, there are key differences that set them apart.

  1. Build Execution: Codefresh primarily focuses on Docker-based orchestration and continuous integration and deployment pipelines. It provides a cloud-native CI/CD platform with ready-to-use integrations. On the other hand, Earthly is a modern build automation tool that emphasizes reproducibility, maintainability, and performance. It uses a declarative syntax and focuses on building images and artifacts consistently across different environments.

  2. Build Configuration: Codefresh uses a declarative YAML-based pipeline configuration file to define the steps for building, testing, and deploying applications. It provides predefined steps and integrations, making it easier to set up pipelines. In contrast, Earthly uses a higher-level syntax for defining builds. It allows you to define dependencies, build processes, and artifacts using a language similar to Dockerfiles. This gives more flexibility and control over the build process.

  3. Dependency Management: Codefresh supports dependency management through the use of package managers like npm, Maven, and Pip. It provides built-in steps and plugins to handle these dependencies. Earthly, on the other hand, has a built-in caching mechanism that allows you to define and manage fine-grained dependencies. It intelligently tracks changes and only rebuilds what is necessary, leading to faster and more efficient builds.

  4. Developer Experience: Codefresh provides a user-friendly web-based interface for managing CI/CD pipelines and monitoring their execution. It also integrates with source control systems like GitHub and Bitbucket, providing a seamless developer experience. Earthly, on the other hand, focuses on providing a command-line interface (CLI) and editor plugins to aid developers in writing and managing build scripts. It excels in providing a consistent and developer-friendly workflow.

  5. Supported Platforms: Codefresh is a cloud-native solution that runs on its own infrastructure and supports various cloud providers like AWS, GCP, and Azure. It also offers on-premises installations for enterprise customers. Earthly, on the other hand, is platform-agnostic and runs on any machine that supports Docker. This makes it suitable for both cloud and on-premises environments.

  6. Community and Ecosystem: Codefresh has an active community and ecosystem with a wide range of pre-built integrations, plugins, and extensions. It also provides extensive documentation and support resources. Earthly, being a relatively newer tool, has a smaller but growing community. It offers tight integration with the Docker ecosystem and benefits from the existing Docker community and tooling.

In Summary, Codefresh is a cloud-native CI/CD platform with a focus on Docker-based orchestration and predefined integrations, while Earthly is a modern build automation tool emphasizing reproducibility, maintainability, and performance through a flexible and declarative approach for building Docker images and artifacts consistently across different environments.

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Detailed Comparison

Codefresh
Codefresh
Earthly
Earthly

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.

It is a build automation tool for the post-container era. It allows you to execute all your builds in containers. This makes them self-contained, reproducible, portable and parallel. You can use it to create Docker images and artifacts (eg binaries, packages, arbitrary files).

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.
Programming language agnostic; Reproducible builds; Parallelism that just works; Mono-repo friendly; Multi-repo friendly
Statistics
GitHub Stars
-
GitHub Stars
11.9K
GitHub Forks
-
GitHub Forks
439
Stacks
64
Stacks
9
Followers
111
Followers
14
Votes
47
Votes
0
Pros & Cons
Pros
  • 11
    Fastest and easiest way to work with Docker
  • 7
    Great support/fast builds/awesome ui
  • 6
    Great onboarding
  • 5
    Freestyle build steps to support custom CI/CD scripting
  • 4
    Easy setup
Cons
  • 1
    Questionable product quality and stability
  • 1
    Expensive compared to alternatives
No community feedback yet
Integrations
Quay.io
Quay.io
Docker Compose
Docker Compose
Docker Swarm
Docker Swarm
BinTray
BinTray
Docker Cloud
Docker Cloud
Amazon EC2
Amazon EC2
GitHub
GitHub
Bitbucket
Bitbucket
HipChat
HipChat
BlazeMeter
BlazeMeter
CircleCI
CircleCI
JavaScript
JavaScript
Python
Python
Java
Java
Golang
Golang
Jenkins
Jenkins
GitHub Actions
GitHub Actions

What are some alternatives to Codefresh, Earthly?

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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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