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Cppcheck VS Coveralls

Compare Cppcheck VS Coveralls and see what are their differences

Cppcheck logo Cppcheck

Cppcheck is an analysis tool for C/C++ code. It detects the types of bugs that the compilers normally fail to detect. The goal is no false positives. CppCheckDownload cppcheck for free.

Coveralls logo Coveralls

Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.
  • Cppcheck Landing page
    Landing page //
    2021-10-13
  • Coveralls Landing page
    Landing page //
    2023-01-24

Cppcheck videos

Cppcheck

More videos:

  • Review - Daniel Marjamäki: Cppcheck, static code analysis

Coveralls videos

High Quality Mens Work Clothing Long Sleeve Coveralls review

More videos:

  • Review - Scentlok coveralls review!

Category Popularity

0-100% (relative to Cppcheck and Coveralls)
Code Analysis
67 67%
33% 33
Code Coverage
49 49%
51% 51
Code Review
100 100%
0% 0
Code Quality
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Cppcheck and Coveralls

Cppcheck Reviews

Top 9 C++ Static Code Analysis Tools
Cppcheck is a popular, open-source, free, cross-platform static code analysis tool dedicated to C and C++. It is known for being easy to use and its simplicity is one of its pros. To get started with it you don’t have to do any adjustments or modifications, which is why it’s often recommended for beginners. It also has a reputation of reporting a relatively small number of...

Coveralls Reviews

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Social recommendations and mentions

Coveralls might be a bit more popular than Cppcheck. We know about 13 links to it since March 2021 and only 10 links to Cppcheck. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Cppcheck mentions (10)

  • Configuring Cppcheck, Cpplint, and JSON Lint
    I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end. - Source: dev.to / 3 months ago
  • Enforcing Memory Safety?
    Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code. Source: about 1 year ago
  • Static Code analysis
    For my own projects, I used cppcheck. You can check out that tool to get a feel. Depending on what industry your in, you might need to follow a standard like Misra. Source: about 1 year ago
  • How do you not shoot yourself in the foot ?
    Https://cppcheck.sourceforge.io/ (there are many other static analysis tools, I just haven't used them or didn't care for them). Source: about 1 year ago
  • Linting tool for prohibiting the use of specific std types
    Sounds like something that could simply be communicated with the team that writes the tests. Unless you have dozens of such classes. In that case, you could just use e.g. Cppcheck and add a rule (regular expression) that searches for usages of the forbidden classes. Source: over 1 year ago
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Coveralls mentions (13)

  • GitHub Actions for Perl Development
    Cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io. - Source: dev.to / 5 months ago
  • Perl Testing in 2023
    I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls. - Source: dev.to / over 1 year ago
  • free-for.dev
    Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 1 year ago
  • Containers for Coverage
    Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done. - Source: dev.to / over 1 year ago
  • Comprehensive coverage Jest+Playwright in Next.js TS
    This approach will create two json coverage files, which will be merged together by NYC. Therefore the results will be purely local. If You don't mind using online tools like Codecov or Coveralls for merging data from different tests, then go ahead and use them. They will probably also be more accurate. But if You still want to learn how to get coverage from E2E, then please read through. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Cppcheck and Coveralls, you can also consider the following products

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Clang Static Analyzer - The Clang Static Analyzer is a source code analysis tool that finds bugs in C, C++, and Objective-C...

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free

PVS-Studio - PVS-Studio is a useful piece of software for detecting problems in source code. The software examines program codes written in C, C++, and C# for any problems that might prohibit the code from functioning properly.