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Codecov vs JaCoCo: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Codecov and JaCoCo, two popular code coverage tools.

  1. Integration: Codecov is a third-party tool that integrates with various Continuous Integration (CI) platforms like Travis CI, CircleCI, and Jenkins. It generates reports by extracting data from the CI platforms. On the other hand, JaCoCo is a code coverage library that can be directly integrated into the build process using build tools like Maven or Gradle.

  2. Language Support: Codecov provides support for multiple programming languages, including Java, Python, JavaScript, Ruby, and more. It can be used for code coverage analysis in a wide range of languages. However, JaCoCo is primarily focused on Java applications and offers comprehensive support specifically for Java projects.

  3. Report Generation: Codecov generates coverage reports in a visual format with user-friendly dashboards. These reports provide a clear overview of code coverage metrics, such as line coverage, branch coverage, and function coverage. JaCoCo, on the other hand, generates coverage reports in HTML, XML, and CSV formats, which can be customized and further processed as per the project requirements.

  4. Test Execution: Codecov requires the test execution to be performed separately, and then it can gather the coverage data from the test runs. In contrast, JaCoCo can collect code coverage information during runtime, by attaching to the JVM (Java Virtual Machine), without the need for separate test executions.

  5. Accuracy: Since Codecov relies on coverage data provided by different CI platforms and test environments, the accuracy of the coverage reports can vary based on the quality of the test cases and the execution environment. JaCoCo, on the other hand, analyzes the bytecode directly and provides more accurate coverage information at the method, line, and branch levels.

  6. Community Support: Codecov has a large and active community of users and contributors, which ensures regular updates and improvements to the tool. The community provides support through forums, documentation, and issue tracking. JaCoCo also has a significant user base but relatively less community support compared to Codecov.

In summary, Codecov is a third-party tool with extensive language support and integration capabilities, while JaCoCo is a code coverage library specifically designed for Java applications, offering accurate coverage analysis during runtime.

Decisions about Codecov and JaCoCo

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 Codecov
Pros of JaCoCo
  • 17
    More stable than coveralls
  • 17
    Easy setup
  • 14
    GitHub integration
  • 11
    They reply their users
  • 10
    Easy setup,great ui
  • 5
    Easily see per-commit coverage in GitHub
  • 5
    Steve is the man
  • 4
    Merges coverage from multiple CI jobs
  • 4
    Golang support
  • 3
    Free for public repositories
  • 3
    Code coverage
  • 3
    JSON in web hook
  • 3
    Newest Android SDK preinstalled
  • 2
    Cool diagrams
  • 1
    Bitbucket Integration
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    Cons of Codecov
    Cons of JaCoCo
    • 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
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      - No public GitHub repository available -

      What is Codecov?

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

      What is JaCoCo?

      It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.

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      What companies use Codecov?
      What companies use JaCoCo?
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      What tools integrate with Codecov?
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      What are some alternatives to Codecov and JaCoCo?
      Code Climate
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      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.
      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.
      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.
      Istanbul
      It is a JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale.
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