Codecov vs DeployBot

Overview

DeployBot

Stacks90

Followers92

Votes74

Codecov

Stacks2.8K

Followers325

Votes102

Codecov vs DeployBot: What are the differences?

Developers describe Codecov as "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. On the other hand, DeployBot is detailed as "Instantly deploy from Github, Bitbucket, or Gitlab without complex scripts, commands or configs". DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

Codecov belongs to "Code Coverage" category of the tech stack, while DeployBot can be primarily classified under "Continuous Deployment".

Some of the features offered by Codecov are:

Beautiful Reports
Pull Request Comments
Interactive Commit Graphs

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

Manually deploy with a click in the app, automatically deploy on each push, or use deploy tags in a commit [deploy:production].
DeployBot gathers new and changed files from your repositories since the last deployment. You can even preview the changes first.
Files are uploaded, SSH commands are executed and deployment hooks are triggered. Everything is logged for you.

"More stable than coveralls" is the top reason why over 14 developers like Codecov, while over 26 developers mention "Easy setup" as the leading cause for choosing DeployBot.

Repro, ContentSquare, and Talkable are some of the popular companies that use Codecov, whereas DeployBot is used by Sellsuki, Edify, and dvel Inc. Codecov has a broader approval, being mentioned in 49 company stacks & 29 developers stacks; compared to DeployBot, which is listed in 37 company stacks and 6 developer stacks.

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CLI (Node.js)

Manual

Advice on DeployBot, Codecov

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.

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Comments

Detailed Comparison

DeployBot	Codecov
DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.	Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
Manually deploy with a click in the app, automatically deploy on each push, or use deploy tags in a commit [deploy:production].;DeployBot gathers new and changed files from your repositories since the last deployment. You can even preview the changes first.;Files are uploaded, SSH commands are executed and deployment hooks are triggered. Everything is logged for you.;Your entire team can view release notes and optionally receive an email notification with details about the deployment status.;Environments overview;Deployments timeline;Deployment details: tickets, revisions & files	Beautiful Reports;Pull Request Comments;Interactive Commit Graphs;Chrome Extension;Github Commit Status;Easy to Integrate;Hipchat Integration
Statistics
Stacks 90	Stacks 2.8K
Followers 92	Followers 325
Votes 74	Votes 102
Pros & Cons
Pros 26 Easy setup 20 Seamless integrations 17 Free 10 Rocks 1 Docker Cons 1 Not reliable	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 Support does not respond to email 0 Delayed results by hours since recent outage
Integrations
Slack HipChat New Relic Bugsnag DigitalOcean	HipChat Jenkins Bitbucket GitLab GitHub CircleCI Heroku

What are some alternatives to DeployBot, Codecov?

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

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.

AWS CodePipeline

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

Deployer

A deployment tool written in PHP with support for popular frameworks out of the box

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

Harness.io

It automates the entire CI/CD process, uses machine learning to protect you when deployments fail, equips you with enterprise-grade security, & simplifies cloud cost visibility, savings, & forecasting without any tagging requirements.

Google Cloud Build

Cloud Build lets you build software quickly across all languages. Get complete control over defining custom workflows for building, testing, and deploying across multiple environments such as VMs, serverless, Kubernetes, or Firebase.

Buildstash

Software build artifact and release management. For mobile and desktop apps, games, XR, or embedded - never lose a binary again, steer through QA and sign-off, and distribute to users.

BuildNinja

BuildNinja™ is a comprehensive Continuous Integration and Continuous Delivery (CI/CD) platform designed to automate the entire software development lifecycle, including building, testing, and deploying applications.

Related Comparisons

Some of the features offered by Codecov are:

Beautiful Reports
Pull Request Comments
Interactive Commit Graphs

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

Manually deploy with a click in the app, automatically deploy on each push, or use deploy tags in a commit [deploy:production].
DeployBot gathers new and changed files from your repositories since the last deployment. You can even preview the changes first.
Files are uploaded, SSH commands are executed and deployment hooks are triggered. Everything is logged for you.

"More stable than coveralls" is the top reason why over 14 developers like Codecov, while over 26 developers mention "Easy setup" as the leading cause for choosing DeployBot.

Codecov vs DeployBot