
CodeClimate
Codacy
SensioLabs Insight
ESLint
SonarQube
Source-Navigator NG
CodeFactor.io
Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.

Profound
AI marketing platform for brands.

Which is more popular?
Based on our record, Coveralls seems to be more popular. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | coveralls.io | digraph.dev |
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| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Coveralls yet.
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Coveralls is recommended for software development teams and individual developers who are focused on improving code quality through comprehensive test coverage. It is especially useful for projects that already utilize CI/CD workflows, as it integrates smoothly into these processes. Teams seeking to maintain high standards of test-driven development will particularly benefit from its features.
No analysis of Digraph.dev yet.
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How often each product is chosen within a category, 0–100% relative to the other.


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Recommendations tracked on public social media and blogs since March 2021.


For open-source projects, many SaaS platforms offer free tiers for monitoring. For tracking code coverage, you can use Codecov or Coveralls. For tracking complexity, CodeClimate is a good option. These platforms integrate well with... - Source: dev.to / about 2 years ago
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 / over 2 years ago
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 3 years ago
Tracking Digraph.dev since Oct 2026.
When comparing Coveralls and Digraph.dev, you can also consider the following products.

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