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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Checkstyle vs JaCoCo

Checkstyle vs JaCoCo

OverviewComparisonAlternatives

Overview

JaCoCo
JaCoCo
Stacks223
Followers82
Votes0
GitHub Stars4.4K
Forks1.2K
Checkstyle
Checkstyle
Stacks132
Followers107
Votes0
GitHub Stars8.7K
Forks3.9K

Checkstyle vs JaCoCo: What are the differences?

Key differences between Checkstyle and JaCoCo

Checkstyle and JaCoCo are two popular tools used in software development, but they serve different purposes and have distinct features. Here are the key differences between them:

  1. Static code analysis versus code coverage analysis: Checkstyle focuses on static code analysis, which enforces coding conventions and best practices. It checks the code for issues like coding style violations, potential bugs, and code complexity. On the other hand, JaCoCo is a code coverage analysis tool that measures how much of the code is covered by tests.

  2. Configurability and extensibility: Checkstyle provides a high level of configurability, allowing developers to customize the rules according to their project requirements. It supports a wide range of predefined rules and also enables the creation of custom rules. JaCoCo, on the other hand, has limited configurability and offers minimal customization options.

  3. Integration with build tools: Checkstyle seamlessly integrates with build tools like Apache Maven and Gradle, making it easy to incorporate into the build process. It can generate reports and enforce coding standards during the build. JaCoCo, on the other hand, is primarily a code coverage analysis tool and is mostly integrated with build tools to generate test coverage reports.

  4. Automated and manual detection: Checkstyle focuses on automated detection of coding standards violations and potential issues. It provides a set of predefined rules that are checked automatically during the build process. In contrast, JaCoCo requires manual execution of test cases to collect code coverage data. It does not automatically detect or enforce any coding standards.

  5. Reporting capabilities: Checkstyle generates detailed reports highlighting the violations and issues found in the code. These reports can be viewed directly in an IDE or exported in various formats like HTML or XML. JaCoCo, on the other hand, generates code coverage reports that show which parts of the code are covered by tests and which are not.

  6. Impact on development process: Checkstyle helps in maintaining a consistent coding style and adhering to coding guidelines, which leads to better code maintainability and readability. It helps identify potential bugs and security vulnerabilities early in the development process. JaCoCo, on the other hand, helps in measuring code coverage and identifying areas of code that are not adequately tested. This enables developers to enhance the effectiveness and quality of their tests.

In Summary, Checkstyle focuses on static code analysis and allows configurability and customization of rules, whereas JaCoCo is a code coverage analysis tool that helps measure the effectiveness of tests.

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Detailed Comparison

JaCoCo
JaCoCo
Checkstyle
Checkstyle

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.

It is a development tool to help programmers write Java code that adheres to a coding standard. It automates the process of checking Java code to spare humans of this boring (but important) task. This makes it ideal for projects that want to enforce a coding standard.

Statistics
GitHub Stars
4.4K
GitHub Stars
8.7K
GitHub Forks
1.2K
GitHub Forks
3.9K
Stacks
223
Stacks
132
Followers
82
Followers
107
Votes
0
Votes
0
Integrations
No integrations available
IntelliJ IDEA
IntelliJ IDEA
Java
Java

What are some alternatives to JaCoCo, Checkstyle ?

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.

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.

Amazon CodeGuru

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

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