Clair vs Codefresh

Overview

Clair

Stacks41

Followers57

Votes0

Codefresh

Stacks64

Followers111

Votes47

Clair vs Codefresh: What are the differences?

Developers describe Clair as "Open Source Vulnerability Analysis for your Containers". Clair is a container vulnerability analysis service by CoreOS. It provides the list of vulnerabilities that threaten each container and can sends notifications whenever new vulnerabilities that affect existing containers are released. On the other hand, Codefresh is detailed as "CI/CD Tailor-Made For Docker". 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.

Clair and Codefresh belong to "Container Tools" category of the tech stack.

Some of the features offered by Clair are:

api defines how users interact with Clair and exposes a documented HTTP API.
worker extracts useful informations from layers and store everything in the database.
updater periodically updates Clair's vulnerability database from known vulnerability sources.

On the other hand, Codefresh provides the following key features:

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.

Clair is an open source tool with 5.41K GitHub stars and 696 GitHub forks. Here's a link to Clair's open source repository on GitHub.

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Detailed Comparison

Clair	Codefresh
Clair is a container vulnerability analysis service by CoreOS. It provides the list of vulnerabilities that threaten each container and can sends notifications whenever new vulnerabilities that affect existing containers are released.	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.
Api defines how users interact with Clair and exposes a documented HTTP API; Worker extracts useful informations from layers and store everything in the database; Updater periodically updates Clair's vulnerability database from known vulnerability sources; Notifier dispatches notifications about vulnerable containers when vulnerabilities are released or updated; Database persists layers informations and vulnerabilities in Cayley graph database; Health summarizes health checks of every Clair's services	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.
Statistics
Stacks 41	Stacks 64
Followers 57	Followers 111
Votes 0	Votes 47
Pros & Cons
No community feedback yet	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
Integrations
Kubernetes	Quay.io Docker Compose Docker Swarm BinTray Docker Cloud Amazon EC2 GitHub Bitbucket HipChat BlazeMeter

What are some alternatives to Clair, Codefresh?

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.