StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Coverity Scan vs PVS-Studio

Coverity Scan vs PVS-Studio

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
PVS-Studio
PVS-Studio
Stacks8
Followers12
Votes0

Coverity Scan vs PVS-Studio: What are the differences?

  1. Build Integration: Coverity Scan provides integrations for popular build systems like Jenkins and Travis CI, while PVS-Studio offers plugins for Visual Studio and IntelliJ IDEA. This difference in build integrations can impact the ease of implementing these tools into existing development workflows.

  2. Language Support: Coverity Scan primarily focuses on C, C++, and Java languages, whereas PVS-Studio supports a wider range of languages including C, C++, C#, and Java. Developers working on projects in languages not supported by Coverity Scan may find PVS-Studio to be a more suitable option.

  3. Rules and Analysis: Coverity Scan and PVS-Studio employ different rule sets and analysis techniques. Coverity Scan is known for its precise analysis with low false positive rates, while PVS-Studio offers a larger range of diagnostic rules but may generate more false positives. Choosing between them depends on the specific needs of the project and tolerance for false positives.

  4. Pricing Model: Coverity Scan provides a free version with limited functionality for open-source projects, while PVS-Studio offers a free trial and subscription-based pricing for commercial use. The pricing model can be a significant factor for teams considering which tool to invest in for code analysis.

  5. Workflow Integration: Coverity Scan includes a dashboard for tracking project health and issues, while PVS-Studio offers detailed reports and integrations with issue trackers like Jira and TFS. The differences in workflow integration tools can impact how effectively teams can address and track code quality issues.

  6. Support and Documentation: Coverity Scan provides comprehensive documentation and support options, including forums and community resources, whereas PVS-Studio offers personalized technical support and consulting services. The level of support and documentation can influence the ease of adoption and troubleshooting for each tool.

In Summary, Coverity Scan and PVS-Studio differ in build integrations, language support, rules and analysis methods, pricing models, workflow integration features, and support options.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Coverity Scan
Coverity Scan
PVS-Studio
PVS-Studio

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 a tool used to detect bugs in the source code of programs written in C, C++, C# and Java. It performs static code analysis and generates a report that helps a programmer find and fix bugs.

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
Simple and seamless integration with Visual Studio 2010-2019; Automatic analysis of individual files after their recompilation; Automatic check for updates (inside IDEs and when running overnight builds); A large number of options for integration into projects that are developed under Linux and macOS; Statistics on analyzer warnings can be viewed in Excel - provides a way to track the speed of error correction, amount of bugs found for a certain period of time and so on; Relative paths in report files to view them on different machines
Statistics
Stacks
50
Stacks
8
Followers
185
Followers
12
Votes
0
Votes
0
Integrations
GitHub
GitHub
Travis CI
Travis CI
Windows
Windows
C#
C#
Linux
Linux
Java
Java
Visual Studio
Visual Studio
C++
C++
macOS
macOS

What are some alternatives to Coverity Scan, PVS-Studio?

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana