Coveralls
CodeClimate
Codacy
SensioLabs Insight
ESLint
SonarQube
Source-Navigator NG
CodeFactor.io
Everdone - CodePerformance
CodeRabbit
GitHub Copilot
CodeClimate
SonarQube
CodeFlow
Ellipsis
Codacy
CodePerformance is an AI-powered performance review service for engineering teams. It identifies real runtime bottlenecks, suggests implementation-ready fixes, and re-verifies issues after developers apply changes - designed as a continuous, iterative workflow rather than a one-time scan.
Coveralls Everdone - CodePerformanceCoveralls 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.
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Based on our record, Coveralls seems to be more popular. It has been mentiond 14 times since March 2021. 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.
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 GitHub repositories. - Source: dev.to / almost 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
Coveralls.io โ Display test coverage reports, free for Open Source. - Source: dev.to / over 3 years ago
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 / almost 4 years ago
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.
CodeRabbit - Unleash AI on Your Code Reviews with CodeRabbit
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
SensioLabs Insight - PHP Project Quality Done Right.
ESLint - The fully pluggable JavaScript code quality tool
