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  1. Stackups
  2. DevOps
  3. Code Coverage
  4. Code Coverage
  5. CodeFactor.io vs Coveralls

CodeFactor.io vs Coveralls

OverviewDecisionsComparisonAlternatives

Overview

Coveralls
Coveralls
Stacks1.7K
Followers278
Votes68
CodeFactor.io
CodeFactor.io
Stacks48
Followers83
Votes31

CodeFactor.io vs Coveralls: What are the differences?

  1. Features: CodeFactor.io focuses on providing automated code review and quality analysis, while Coveralls primarily focuses on code coverage metrics by integrating with different CI/CD pipelines to track the coverage of codebase testing.

  2. Languages Supported: CodeFactor.io supports a wide range of programming languages, including but not limited to Python, JavaScript, Java, and Ruby, while Coveralls supports popular languages like Ruby, Python, JavaScript, and PHP but has limitations with some less common languages.

  3. Integration: CodeFactor.io integrates with popular version control platforms like GitHub and GitLab, offering seamless integration to automate code analysis, whereas Coveralls also integrates with GitHub, GitLab, and Bitbucket, but may require additional setup for some repositories.

  4. Reporting: CodeFactor.io provides in-depth reports on code quality, including recommendations for improvement, whereas Coveralls primarily focuses on displaying coverage statistics like line coverage and branch coverage with minimal insights into code quality.

  5. Pricing: CodeFactor.io offers a free tier with limited features and paid plans for more advanced analysis, while Coveralls also provides a free tier for open-source projects but is predominantly subscription-based for private repositories, making it less accessible for smaller teams.

  6. Community Support: CodeFactor.io has an active community forum and documentation for users to seek help and guidance, while Coveralls lacks community engagement and extensive resources, providing limited support beyond basic FAQs.

In Summary, CodeFactor.io emphasizes automated code review and quality analysis across multiple languages with detailed reports, while Coveralls centers on code coverage metrics integration with popular CI/CD pipelines with minimal code quality insights, differing in features, language support, integration, reporting, pricing, and community support.

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Advice on Coveralls, CodeFactor.io

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.

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Detailed Comparison

Coveralls
Coveralls
CodeFactor.io
CodeFactor.io

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.

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

Repository Coverage Statistics;Individual File Coverage Reports;Line By Line Coverage;Repository Overview
Integrates with GitHub or BitBucket in seconds - nothing to install. Solo to Team - unlimited users for every repository. Continuously tracks code quality with every commit and pull request. Recognizes libraries in use and identifies potential code issues within. Checks complexity, duplication, churn, problems for code style, performance, etc; Provides real-time actionable feedback about potential quality issues as soon as they occur. Identifies hot-spots the most impactful list for refactoring. Private and Secure - encryption in transit and at rest. Free for Open Source and full time Students. Discount for non-profits.
Statistics
Stacks
1.7K
Stacks
48
Followers
278
Followers
83
Votes
68
Votes
31
Pros & Cons
Pros
  • 45
    Free for public repositories
  • 13
    Code coverage
  • 7
    Ease of integration
  • 2
    More stable than Codecov
  • 1
    Combines coverage from multiple/parallel test runs
Pros
  • 8
    Easy setup & GitHub integration
  • 7
    Github integration
  • 5
    Free for open source
  • 5
    Easy setup
  • 3
    Insures that code meets quality standards
Integrations
Travis CI
Travis CI
CircleCI
CircleCI
Semaphore
Semaphore
Jenkins
Jenkins
Codeship
Codeship
Slack
Slack
GitHub
GitHub
Bitbucket
Bitbucket

What are some alternatives to Coveralls, CodeFactor.io?

Code Climate

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

Codecov

Codecov

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

PullReview

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

ESLint

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

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