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Coveralls
Coveralls

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67
Jumpsuit
Jumpsuit

2
15
+ 1
1
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Coveralls vs Jumpsuit: What are the differences?

Coveralls: Track your project's code coverage over time, changes to files, and badge your GitHub repo. Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth; Jumpsuit: React/Redux made simple. A powerful and efficient Javascript framework that helps you build great apps. It is the fastest way to write scalable React/Redux with the least overhead.

Coveralls and Jumpsuit are primarily classified as "Code Coverage" and "Javascript UI Libraries" tools respectively.

Jumpsuit is an open source tool with 1.42K GitHub stars and 76 GitHub forks. Here's a link to Jumpsuit's open source repository on GitHub.

- No public GitHub repository available -

What is Coveralls?

Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth.

What is Jumpsuit?

A powerful and efficient Javascript framework that helps you build great apps. It is the fastest way to write scalable React/Redux with the least overhead.
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        What are some alternatives to Coveralls and Jumpsuit?
        Codecov
        Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
        uberalls
        Code coverage metric storage service. Provide coverage metrics on differentials with Phabricator and Jenkins, just like Coveralls does for GitHub and TravisCI.
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        Decisions about Coveralls and Jumpsuit
        Tim Abbott
        Tim Abbott
        Founder at Zulip | 4 upvotes 19.2K views
        atZulipZulip
        Codecov
        Codecov
        Coveralls
        Coveralls

        We use Codecov because it's a lot better than Coveralls. Both of them provide the useful feature of having nice web-accessible reports of which files have what level of test coverage (though every coverage tool produces reasonably nice HTML in a directory on the local filesystem), and can report on PRs cases where significant new code was added without test coverage.

        That said, I'm pretty unhappy with both of them for our use case. The fundamental problem with both of them is that they don't handle the ~1% probability situations with missing data due to networking flakiness well. The reason I think our use case is relevant is that we submit coverage data from multiple jobs (one that runs our frontend test suite and another that runs our backend test suite), and the coverage provider is responsible for combining that data together.

        I think the problem is if a test suite runs successfully but due to some operational/networking error between Travis/CircleCI and Codecov the coverage data for part of the codebase doesn't get submitted, Codecov will report a huge coverage drop in a way that is very confusing for our contributors (because they experience it as "why did the coverage drop 12%, all I did was added a test").

        We migrated from Coveralls to Codecov because empirically this sort of breakage happened 10x less on Codecov, but it still happens way more often than I'd like.

        I wish they put more effort in their retry mechanism and/or providing clearer debugging information (E.g. a big "Missing data" banner) so that one didn't need to be specifically told to ignore Codecov/Coveralls when it reports a giant coverage drop.

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        Reviews of Coveralls and Jumpsuit
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        How developers use Coveralls and Jumpsuit
        Avatar of OnlineCity
        OnlineCity uses CoverallsCoveralls

        Code Coverage is an important metric for us as we aim to deliver regular improvements to our platform.

        Avatar of Sascha Manns
        Sascha Manns uses CoverallsCoveralls

        Coveralls helps me to detect holes inside my testing space.

        Avatar of Dieter Adriaenssens
        Dieter Adriaenssens uses CoverallsCoveralls

        publishes test coverage reports

        Avatar of malcolmgreaves
        malcolmgreaves uses CoverallsCoveralls

        Code coverage and review

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