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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Codecov vs Kitematic

Codecov vs Kitematic

OverviewDecisionsComparisonAlternatives

Overview

Kitematic
Kitematic
Stacks67
Followers116
Votes14
Codecov
Codecov
Stacks2.8K
Followers325
Votes102

Codecov vs Kitematic: What are the differences?

Codecov: Hosted coverage reports with awesome features to enhance your CI workflow. Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security; Kitematic: The easiest way to start using Docker on your Mac. Simple Docker App management for Mac OS X.

Codecov belongs to "Code Coverage" category of the tech stack, while Kitematic can be primarily classified under "Container Tools".

Some of the features offered by Codecov are:

  • Beautiful Reports
  • Pull Request Comments
  • Interactive Commit Graphs

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

  • Mac App with GUI for Docker
  • Create images from any folder with a Dockerfile in it
  • Configure environment variables

"More stable than coveralls" is the top reason why over 14 developers like Codecov, while over 4 developers mention "I like it because it sucks" as the leading cause for choosing Kitematic.

Kitematic is an open source tool with 10.5K GitHub stars and 1.25K GitHub forks. Here's a link to Kitematic's open source repository on GitHub.

According to the StackShare community, Codecov has a broader approval, being mentioned in 49 company stacks & 28 developers stacks; compared to Kitematic, which is listed in 5 company stacks and 8 developer stacks.

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Advice on Kitematic, Codecov

Felipe
Felipe

May 24, 2020

Needs advice

My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container.
Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website.
This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage file from my docker container and get the coverage report with #Codecov.

198k views198k
Comments

Detailed Comparison

Kitematic
Kitematic
Codecov
Codecov

Simple Docker App management for Mac OS X

Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.

Mac App with GUI for Docker;Create images from any folder with a Dockerfile in it;Configure environment variables;Check App logs;Easily terminal into apps;Restart apps
Beautiful Reports;Pull Request Comments;Interactive Commit Graphs;Chrome Extension;Github Commit Status;Easy to Integrate;Hipchat Integration
Statistics
Stacks
67
Stacks
2.8K
Followers
116
Followers
325
Votes
14
Votes
102
Pros & Cons
Pros
  • 8
    I like it because it sucks
  • 3
    No command line, Docker in one app, gui, easy to set up
  • 2
    Good for first timer
  • 1
    Easy to get started
Pros
  • 17
    More stable than coveralls
  • 17
    Easy setup
  • 14
    GitHub integration
  • 11
    They reply their users
  • 10
    Easy setup,great ui
Cons
  • 1
    GitHub org / team integration is a little too tight
  • 0
    Delayed results by hours since recent outage
  • 0
    Support does not respond to email
Integrations
Docker
Docker
HipChat
HipChat
Jenkins
Jenkins
Bitbucket
Bitbucket
GitLab
GitLab
GitHub
GitHub
CircleCI
CircleCI
Heroku
Heroku

What are some alternatives to Kitematic, Codecov?

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.

Coveralls

Coveralls

Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth.

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.

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