Software Alternatives & Reviews

Coveralls VS Understand

Compare Coveralls VS Understand and see what are their differences

Coveralls logo Coveralls

Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.

Understand logo Understand

Combines a powerful Code Editor together with an impressive array of static analysis tools that will change the way you work with code.
  • Coveralls Landing page
    Landing page //
    2023-01-24
  • Understand Landing page
    Landing page //
    2023-07-29

Coveralls features and specs

No features have been listed yet.

Understand features and specs

  • Static Code Analysis: Yes
  • Metrics: Yes
  • Graphs: Yes
  • Code Navigation: Yes
  • Dependency Analysis: Yes
  • Architectures: Yes
  • Compliance Validation: Yes
  • API Support: Yes
  • Code Editing: Yes

Coveralls videos

High Quality Mens Work Clothing Long Sleeve Coveralls review

More videos:

  • Review - Scentlok coveralls review!

Understand videos

Getting Started with Understand

More videos:

  • Demo - What is Understand

Category Popularity

0-100% (relative to Coveralls and Understand)
Code Coverage
59 59%
41% 41
Code Analysis
49 49%
51% 51
Code Quality
53 53%
47% 47
Development
100 100%
0% 0

Questions and Answers

As answered by people managing Coveralls and Understand.

Which are the primary technologies used for building your product?

Understand's answer:

-C/C++ -Qt -Understand

Who are some of the biggest customers of your product?

Understand's answer:

-NASA -U.S. Airforce -General Electric -Nvidia -Raytheon -Amazon -Lockheed Martin -Samsung -Raytheon -Pratt & Whitney -Dell -Intuity -Aurora Flight Sciences

What makes your product unique?

Understand's answer:

Understand has shares many features found in other products but all wrapped into one easy to use package. Our most defining feature is the Hyper-XREF™ technology we invented that provides a detailed cross-referencing of all the interconnections in your code.

User comments

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Reviews

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

Coveralls Reviews

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Understand Reviews

TOP 40 Static Code Analysis Tools (Best Source Code Analysis Tools)
Just like its name, this tool lets user UNDERSTAND code by analyzing, measuring, visualizing and maintaining. This allows quick analysis of massive codes. This is one tool that is mainly used by the aerospace and automakers industry. Supports major languages like C/C++, ADA, COBOL, FORTRAN, PASCAL, Python and other web languages.

Social recommendations and mentions

Based on our record, Coveralls seems to be a lot more popular than Understand. While we know about 13 links to Coveralls, we've tracked only 1 mention of Understand. 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.

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 / 3 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
View more

Understand mentions (1)

  • Discontinue Sourcetrail
    Https://lattix.com/ can produce impact reports showing “changing X affects A, B and Y on the first level which in turn affects C, D, E, F and Z on the second level” and so on… https://scitools.com/ Understand can answer similar questions and tries to perform flow analysis “through” function pointers as well. - Source: Hacker News / over 2 years ago

What are some alternatives?

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

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.

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.

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

Source Insight - Source Insight is a programming editor & code browser with built-in live analysis for C/C++, C#, Java, and more; helping you understand large projects.

SensioLabs Insight - PHP Project Quality Done Right.

Sourcetrail - Sourcetrail is a cross-platform source explorer for C/C++ and Java.