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  1. Stackups
  2. DevOps
  3. Code Coverage
  4. Code Coverage
  5. Codecov vs JaCoCo

Codecov vs JaCoCo

OverviewDecisionsComparisonAlternatives

Overview

Codecov
Codecov
Stacks2.8K
Followers324
Votes102
JaCoCo
JaCoCo
Stacks223
Followers82
Votes0
GitHub Stars4.4K
Forks1.2K

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.

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Advice on Codecov, JaCoCo

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.

198k views198k
Comments

Detailed Comparison

Codecov
Codecov
JaCoCo
JaCoCo

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

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.

Beautiful Reports;Pull Request Comments;Interactive Commit Graphs;Chrome Extension;Github Commit Status;Easy to Integrate;Hipchat Integration
-
Statistics
GitHub Stars
-
GitHub Stars
4.4K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
2.8K
Stacks
223
Followers
324
Followers
82
Votes
102
Votes
0
Pros & Cons
Pros
  • 17
    More stable than coveralls
  • 17
    Easy setup
  • 14
    GitHub integration
  • 11
    They reply their users
  • 10
    Easy setup,great ui
Cons
  • 1
    GitHub org / team integration is a little too tight
  • 0
    Support does not respond to email
  • 0
    Delayed results by hours since recent outage
No community feedback yet
Integrations
HipChat
HipChat
Jenkins
Jenkins
Bitbucket
Bitbucket
GitLab
GitLab
GitHub
GitHub
CircleCI
CircleCI
Heroku
Heroku
No integrations available

What are some alternatives to Codecov, JaCoCo?

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.

PullReview

PullReview

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

Coveralls

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.

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.

CodeFactor.io

CodeFactor.io

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.

ESLint

ESLint

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

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