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 Pylint

Coverity Scan vs Pylint

OverviewComparisonAlternatives

Overview

Coverity Scan
Coverity Scan
Stacks50
Followers185
Votes0
Pylint
Pylint
Stacks873
Followers97
Votes17

Coverity Scan vs Pylint: What are the differences?

Introduction

Coverity Scan and Pylint are both static code analysis tools widely used in software development to identify and address potential bugs and code quality issues. However, there are several key differences between these two tools that set them apart in terms of features, language support, and integration capabilities.

1. Language Support:

Coverity Scan primarily focuses on C, C++, and Java languages, making it suitable for projects written in these languages. On the other hand, Pylint is specifically designed for Python code analysis, providing comprehensive coverage for Python projects.

2. Rule Sets and Checks:

Coverity Scan employs a wide range of built-in and customizable rules and checks to detect issues in the code. It offers a vast number of rules categorized in different categories, allowing users to configure the analysis based on their specific requirements. In contrast, Pylint follows a predefined set of rules aimed at enforcing the best practices and conventions in Python coding. The rule sets in Pylint are more focused and tightly integrated with Python-specific code standards.

3. Integration with Build Systems:

Coverity Scan can be seamlessly integrated with various build systems, enabling continuous analysis during the development process. It supports integration with popular build tools such as CMake and Maven. Pylint, on the other hand, can be integrated into build systems and continuous integration tools using plugins or plugins available for specific build systems, like Flake8 for integration with the Python ecosystem.

4. Performance and Scalability:

Coverity Scan is known for its excellent performance and scalability, making it suitable for analyzing large codebases and complex software systems. It has been optimized to handle large-scale projects efficiently. Pylint, being focused on Python, offers good performance for Python projects but may not be as efficient for analyzing large-scale systems written in other languages.

5. Commercial vs Open Source:

Coverity Scan is a commercial tool that offers both open source and enterprise editions. The open-source edition, also known as Coverity Scan, is free for open source projects. In contrast, Pylint is an open-source tool that is freely available for use without any commercial edition or premium features.

6. IDE Integration:

Coverity Scan provides IDE integration for popular IDEs like Eclipse and Visual Studio, allowing developers to perform code analysis within their development environment seamlessly. Pylint also offers IDE integration through plugins, with support for IDEs such as PyCharm and Visual Studio Code, enhancing the development experience for Python programmers.

In Summary, Coverity Scan and Pylint differ in terms of language support, rule sets and checks, integration with build systems, performance and scalability, commercial vs open source, and IDE integration.

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
Pylint
Pylint

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 Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.

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
Syntax Check;Style Check;Warnings
Statistics
Stacks
50
Stacks
873
Followers
185
Followers
97
Votes
0
Votes
17
Pros & Cons
No community feedback yet
Pros
  • 3
    Command Line
  • 2
    Spell Check strings & comments
  • 2
    Code score & directions
  • 2
    Pre-commit checks
  • 2
    IDE Integration
Integrations
GitHub
GitHub
Travis CI
Travis CI
FreeBSD
FreeBSD
Debian
Debian
Vim
Vim
Windows
Windows
Mac OS X
Mac OS X
TextMate
TextMate
Visual Studio
Visual Studio
Komodo IDE
Komodo IDE
Eclipse
Eclipse
Visual Studio Code
Visual Studio Code

What are some alternatives to Coverity Scan, Pylint?

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