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Codacy vs Codecov: What are the differences?

Key Differences Between Codacy and Codecov

1. Integration with Version Control Systems: - Codacy provides seamless integration with popular version control systems such as GitHub, GitLab, and Bitbucket. It automatically analyzes code changes and provides continuous feedback on the quality of code. Codecov also offers integration with version control systems, but it requires manual configuration and setup.

2. Code Coverage Analysis: - Codacy focuses more on code quality analysis by providing features like code complexity, duplication analysis, and code metrics. It also offers code coverage analysis, but it is not as comprehensive as Codecov's code coverage analysis. Codecov specializes in code coverage analysis, providing detailed reports and metrics to evaluate the effectiveness of test suites.

3. Test Framework Compatibility: - Codacy supports various programming languages and test frameworks, making it easier to integrate into different projects. Codecov, on the other hand, primarily focuses on popular programming languages and commonly used test frameworks, which might limit its compatibility with certain projects.

4. Customizable Quality Profiles: - Codacy allows users to define custom quality profiles based on their specific requirements. This flexibility enables teams to enforce coding standards and practices that are applicable to their projects. Codecov, however, does not offer this level of customization and relies on predefined configurations.

5. Integrations with External Analysis Tools: - Codacy integrates with external analysis tools such as SonarQube and ESLint, providing a more comprehensive code analysis. Codecov does not have similar integrations and mainly focuses on code coverage analysis.

6. Pricing and Cost: - Codacy and Codecov have different pricing models. Codacy offers a range of pricing plans based on the number of users and repositories, while Codecov's pricing is based on the size of the repository and the number of users. The pricing structures and costs associated with each tool may vary, so it is essential to evaluate them based on individual project requirements and budget.

In Summary, Codacy offers a broader range of code analysis features, customizable quality profiles, and integrations with external analysis tools, whereas Codecov specializes in code coverage analysis and provides seamless integration with version control systems. The choice between the two depends on specific project needs and cost considerations.

Decisions about Codacy and Codecov

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 Codacy
Pros of Codecov
  • 44
    Automated code review
  • 35
    Easy setup
  • 29
    Free for open source
  • 20
  • 18
    Helps reduce technical debt
  • 14
    Better coding
  • 13
    Best scala support
  • 11
    Faster Employee Onboarding
  • 10
    Duplication detector
  • 10
    Great UI
  • 9
    PHP integration
  • 6
    Python inspection
  • 5
    Tools for JVM analysis
  • 5
    Many integrations
  • 4
    Github Integration
  • 3
    Must-have for Java
  • 3
    Easy Travis integration
  • 3
    Items can be ignored in the UI
  • 3
  • 2
  • 0
  • 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 Codacy
Cons of Codecov
  • 6
    No support for private Git or Azure DevOps git
  • 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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What is 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.

What is Codecov?

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

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

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What are some alternatives to Codacy and Codecov?
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.
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.
Better Code Hub
Better Code Hub runs the first analysis of any GitHub repository with the default configuration. This default configuration is based on the programming languages reported by GitHub and supported by Better Code Hub. Better Code Hub further uses heuristics and commonly used conventions.
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.
codebeat helps you prioritize issues and identify quick wins. It provides immediate and continuous feedback on complexity and duplication
See all alternatives