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Coveralls

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

Coveralls Reviews and details

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  • Coveralls Landing page
    Landing page //
    2023-01-24

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Coveralls and what they use it for.
  • 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 / about 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
  • RFC: A Full-stack Analytics Platform Architecture
    Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / almost 2 years ago
  • Any way to show cumulative code coverage using GitHub Actions for free?
    There is https://coveralls.io/ and https://github.com/marketplace/codecov , but they are both priced for commercial usage. Do you know some free alternatives or approaches to have something similiar? Source: almost 2 years ago
  • Day 1: Project Scaffolding
    Add a Code Coverage CI step using Coveralls.io Add Dependency monitoring using Snyk. - Source: dev.to / over 2 years ago
  • How to automate unit tests with github actions and coveralls for an npm package
    Since there is no need to reinvent the wheel, I will take advantage of an existing github action in the Continuous integration workflows category: Node.js. With this action I will set up this action in one of my public repositories. I will set up Node.js action for automating my unit test and also integrate with coveralls.io for getting a badge of how much my tests covers relevant lines. - Source: dev.to / over 2 years ago
  • GitHub Actions Limitations and Gotchas
    Related to 3.3 (You can’t restart a single job of a workflow), is there any reason why the numeric id of a specific job run isn't available anywhere? There's GITHUB_RUN_ID, but that only identifies the workflow run, not the individual jobs, and this isn't unique across run/job restarts. Services like https://coveralls.io/ need an actually unique job run id, and they could also use the numeric id to link to the... - Source: Hacker News / over 2 years ago
  • Testing PHP API for a small key-value database
    I encourage engineers to post their coverage reports, there are a number of tools available. Here is one I use: https://coveralls.io/. Source: over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 2 years ago
  • Writing a Simple CLI Program: Python vs Go
    Getting the test coverage isn't as straightforward as it is in Go - although I didn't attempt it for this program, on other projects I've used additional 3rd-party services like Coveralls that have 3rd-party packages for computing coverage. - Source: dev.to / almost 3 years ago

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This is an informative page about Coveralls. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.