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Coveralls vs SonarQube: What are the differences?


In this document, we will discuss the key differences between Coveralls and SonarQube, two popular tools used for code quality analysis and evaluation. Both tools are designed to analyze code, identify vulnerabilities, and provide insights to improve code quality and maintainability. However, there are significant differences in their features and functionalities that set them apart.

  1. Scalability and Language Support: One of the primary differences between Coveralls and SonarQube is their scalability and language support. SonarQube is a highly scalable tool that supports a wide range of programming languages, including Java, C#, Python, JavaScript, and more. On the other hand, Coveralls has limited language support and primarily focuses on providing coverage analysis for Ruby, Python, and JavaScript.

  2. Static Code Analysis vs. Test Coverage Analysis: Another key difference lies in the primary focus and use case of each tool. SonarQube is primarily a static code analysis tool that examines the source code to identify issues such as code smells, bugs, vulnerabilities, and code duplications. It provides a comprehensive analysis of the codebase, allowing developers to assess and improve the overall quality of the code. In contrast, Coveralls is primarily a test coverage analysis tool that helps developers measure and track the code coverage of their tests to ensure adequate test coverage and identify areas without test coverage.

  3. Integration and Plugin Ecosystem: SonarQube offers a rich ecosystem of plugins and integrations, allowing users to extend its functionality and integrate it with various tools and services. It seamlessly integrates with popular build tools like Maven and Jenkins, issue trackers like JIRA, and various source code management systems. Coveralls, on the other hand, has a more limited integration and plugin ecosystem compared to SonarQube.

  4. Reporting and Visualization: SonarQube provides a comprehensive and customizable dashboard that offers in-depth reports, metrics, and visualizations for code quality, vulnerabilities, and other analysis results. It provides developers and teams with a clear overview of the codebase's health and progress over time. In contrast, Coveralls focuses more on providing coverage reports and may not offer the same level of comprehensive reporting and visualization capabilities as SonarQube.

  5. Commercial vs. Open Source: SonarQube is available in both open-source and commercial versions, offering different levels of features and support. The commercial version provides additional enterprise-level capabilities and support options. Coveralls, on the other hand, is a commercial tool that offers plans at different price points based on the desired features and usage.

  6. Community and Support: SonarQube has a larger and more active community compared to Coveralls. This larger community translates into better support, more frequent updates, and access to a wealth of community-generated plugins, extensions, and resources. Coveralls, being a smaller and more niche tool, may have a relatively smaller community and support network.

In summary, while both Coveralls and SonarQube aim to improve code quality, they differ significantly in terms of their scalability, language support, primary focus, integration ecosystem, reporting capabilities, commercial/open-source availability, and community support. These differences should be considered when choosing the most suitable tool for your code quality analysis requirements.

Decisions about Coveralls and SonarQube

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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Pros of Coveralls
Pros of SonarQube
  • 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
  • 26
    Tracks code complexity and smell trends
  • 16
    IDE Integration
  • 9
    Complete code Review
  • 1
    Difficult to deploy

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Cons of Coveralls
Cons of SonarQube
    Be the first to leave a con
    • 7
      Sales process is long and unfriendly
    • 7
      Paid support is poor, techs arrogant and unhelpful
    • 1
      Does not integrate with Snyk

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    - No public GitHub repository available -

    What is 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.

    What is 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.

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    What companies use Coveralls?
    What companies use SonarQube?
    See which teams inside your own company are using Coveralls or SonarQube.
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    What tools integrate with Coveralls?
    What tools integrate with SonarQube?

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