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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.
My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container.
Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage
file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website.
This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage
file from my docker container and get the coverage report with #Codecov.
Pros of Coveralls
- Free for public repositories45
- Code coverage13
- Ease of integration7
- More stable than Codecov2
- Combines coverage from multiple/parallel test runs1
Pros of Jumpsuit
- Less boilerplate1