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  1. Stackups
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  3. Code Review
  4. Code Review
  5. Coverity Scan vs SonarLint

Coverity Scan vs SonarLint

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
SonarLint
SonarLint
Stacks175
Followers352
Votes16

Coverity Scan vs SonarLint: What are the differences?

Key differences between Coverity Scan and SonarLint

Coverity Scan and SonarLint are both static code analysis tools that are used to find bugs and vulnerabilities in software code. However, there are several key differences between the two:

  1. Analysis scope: Coverity Scan is primarily used for analyzing C, C++, Java, and C# code, while SonarLint supports a wider range of languages including Java, JavaScript, C#, and many more. This difference in language support makes SonarLint a more versatile tool for diverse development teams.

  2. Integration: Coverity Scan requires the code to be built with specific modifications to enable analysis, whereas SonarLint provides seamless integration with popular development environments such as Eclipse, Visual Studio, and IntelliJ. This makes SonarLint easier to set up and use in existing development workflows.

  3. Code coverage: Coverity Scan provides comprehensive and in-depth code coverage analysis, including detection of unreachable code, deadlocks, resource leaks, and other complex issues. SonarLint focuses more on providing continuous code quality feedback such as code smells and best practices, but may not have the same level of depth in detecting certain types of vulnerabilities.

  4. Online vs. offline analysis: Coverity Scan requires the code to be uploaded to their online platform for analysis, which may raise concerns about code confidentiality and security. SonarLint, on the other hand, performs analysis locally within the development environment, ensuring that the code and its vulnerabilities stay within the team's boundaries.

  5. Availability and pricing: Coverity Scan is a commercial tool that requires a license for full access to its features, while SonarLint is an open-source tool that can be used free of charge. This difference in pricing may influence the choice of tool based on budget constraints.

  6. Integration with code quality management: SonarLint is part of the larger SonarQube ecosystem, which provides additional features for code quality management, such as trend analysis, project dashboards, and custom rules. Coverity Scan, on the other hand, focuses mainly on the static code analysis aspect and does not provide the same level of code quality management features.

In Summary, Coverity Scan and SonarLint have key differences in terms of analysis scope, integration, code coverage, online vs. offline analysis, availability and pricing, and integration with code quality management.

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Detailed Comparison

Coverity Scan
Coverity Scan
SonarLint
SonarLint

Coverity's implementation of static analysis can follow all the possible paths of execution through source code (including interprocedurally) and find defects and vulnerabilities caused by the conjunction of statements that are not errors independent of each other.

It is an IDE extension that helps you detect and fix quality issues as you write code. Like a spell checker, it squiggles flaws so that they can be fixed before committing code.

Test every line of code and potential execution path.;The root cause of each defect is clearly explained, making it easy to fix bugs;Integrates with GitHub and Travis CI
Bug detection;Instant feedback;Know what to do;Learn from your mistakes;Uncover old issues
Statistics
Stacks
50
Stacks
175
Followers
185
Followers
352
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 13
    IDE Integration
  • 3
    Free
Cons
  • 3
    Not Very User Friendly
  • 3
    Non contextual warnings
Integrations
GitHub
GitHub
Travis CI
Travis CI
Visual Studio
Visual Studio
Visual Studio Code
Visual Studio Code
Eclipse
Eclipse
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to Coverity Scan, SonarLint?

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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