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Decisions about Codecov, Coveralls, and uberalls
Felipe Lincoln
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.
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Learn MorePros of Codecov
Pros of Coveralls
Pros of uberalls
Pros of Codecov
- More stable than coveralls16
- Easy setup15
- GitHub integration12
- They reply their users10
- Easy setup,great ui8
- Golang support4
- Easily see per-commit coverage in GitHub4
- Steve is the man4
- Code coverage3
- Merges coverage from multiple CI jobs3
- JSON in web hook3
- Free for public repositories2
- Newest Android SDK preinstalled2
- Cool diagrams2
- Bitbucket Integration1
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 uberalls
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Cons of Codecov
Cons of Coveralls
Cons of uberalls
Cons of Codecov
- GitHub org / team integration is a little too tight1
- Delayed results by hours since recent outage0
- Support does not respond to email0
Cons of Coveralls
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- No public GitHub repository available -
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What is Codecov?
Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
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 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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What are some alternatives to Codecov, Coveralls, and uberalls?
Code Climate
After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.
SonarQube
SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.
Codacy
Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.
JaCoCo
It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.
Istanbul
It is a JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale.