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CodeCover VS Coveralls

Compare CodeCover VS Coveralls and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

CodeCover logo CodeCover

CodeCover is a free glass-box testing tool developed in 2007 at the University of Stuttgart.

Coveralls logo Coveralls

Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.
  • CodeCover Landing page
    Landing page //
    2019-10-20
  • Coveralls Landing page
    Landing page //
    2023-01-24

CodeCover features and specs

No features have been listed yet.

Coveralls features and specs

  • Code Coverage Visualization
    Coveralls provides detailed code coverage reports that help developers visualize which parts of the codebase are thoroughly tested and which are not.
  • Integration with CI/CD Tools
    Coveralls seamlessly integrates with various continuous integration and continuous delivery tools like Jenkins, Travis CI, GitHub Actions, and more, facilitating automated workflows.
  • Multi-language Support
    Coveralls supports a wide array of programming languages, making it a versatile tool for teams working in different tech stacks.
  • Public and Private Repositories
    Coveralls offers services for both public and private repositories, making it suitable for open-source projects as well as private, professional work.
  • Historical Data
    Coveralls maintains historical coverage data, allowing teams to track improvements or regressions in code coverage over time.
  • Badge Generation
    Coveralls generates coverage badges that can be embedded in your repository's README file, providing an at-a-glance view of code coverage status.

Possible disadvantages of Coveralls

  • Pricing
    While Coveralls offers a free tier for open-source projects, the pricing for private projects can be somewhat high, especially for small teams or individual developers.
  • Complex Configuration
    Setting up Coveralls for the first time can be complex and may require intricate configuration, particularly for projects with non-standard setups.
  • Performance Overhead
    Running coverage analysis can introduce performance overhead to the CI/CD pipelines, potentially slowing down build times.
  • Limited Free Tier Features
    The free tier may lack some advanced features and functionalities that are available only in the paid versions, potentially limiting its utility for more complex projects.
  • Learning Curve
    There can be a learning curve associated with understanding and fully utilizing all the features that Coveralls offers.

Analysis of Coveralls

Overall verdict

  • Coveralls is generally considered a good tool for developers and teams looking to monitor and improve their code coverage. Its effectiveness in visualizing coverage data and facilitating continuous integration processes makes it a valuable asset in the software development lifecycle.

Why this product is good

  • Coveralls is a popular code coverage analysis tool that helps developers ensure that their code is adequately tested. By integrating with various CI/CD platforms, it provides detailed insights into which parts of your codebase are covered by tests, helping identify untested sections and improving overall code quality. Furthermore, its user-friendly interface and support for multiple languages make it a versatile tool for teams aiming to maintain high code quality standards.

Recommended for

    Coveralls is recommended for software development teams and individual developers who are focused on improving code quality through comprehensive test coverage. It is especially useful for projects that already utilize CI/CD workflows, as it integrates smoothly into these processes. Teams seeking to maintain high standards of test-driven development will particularly benefit from its features.

CodeCover videos

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Coveralls videos

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High Quality Mens Work Clothing Long Sleeve Coveralls review

More videos:

  • Review - Scentlok coveralls review!

Category Popularity

0-100% (relative to CodeCover and Coveralls)

CodeCover

Coveralls

Code Analysis
19 19%
Code Analysis
81% 81
Code Coverage
11 11%
Code Coverage
89% 89
Code Quality
19 19%
Code Quality
81% 81
Code Review
100 100%
Code Review
0% 0

User comments

Share your experience with using CodeCover and Coveralls. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Coveralls seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CodeCover mentions (0)

We have not tracked any mentions of CodeCover yet. Tracking of CodeCover recommendations started around Mar 2021.

Coveralls mentions (14)

  • Build metrics and budgets with git-metrics
    For open-source projects, many SaaS platforms offer free tiers for monitoring. For tracking code coverage, you can use Codecov or Coveralls. For tracking complexity, CodeClimate is a good option. These platforms integrate well with GitHub repositories. - Source: dev.to / almost 2 years ago
  • GitHub Actions for Perl Development
    Cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io. - Source: dev.to / over 2 years ago
  • Perl Testing in 2023
    I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls. - Source: dev.to / over 3 years ago
  • free-for.dev
    Coveralls.io โ€” Display test coverage reports, free for Open Source. - Source: dev.to / over 3 years ago
  • Containers for Coverage
    Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done. - Source: dev.to / over 3 years ago
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What are some alternatives?

When comparing CodeCover and Coveralls, you can also consider the following products

cobertura - A code coverage tool for java

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

EclEmma - EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License.

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Atlassian Clover - Atlassian Clover is aย Java and Groovy code coverage tool.

SensioLabs Insight - PHP Project Quality Done Right.

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