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Code Climate vs Codecov: What are the differences?
Developers describe Code Climate as "Automated Ruby Code Review". 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. On the other hand, Codecov is detailed as "Hosted coverage reports with awesome features to enhance your CI workflow". Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
Code Climate and Codecov are primarily classified as "Code Review" and "Code Coverage" tools respectively.
Some of the features offered by Code Climate are:
- Automated Git Updates- Nothing to install. Code Climate runs everytime you push a new commit.
- Activity Feeds- Up-to-the-minute information so you can see when and how code changes.
- Instant Notifications- Major security and quality changes pushed to where you work: email, Campfire, HipChat, and RSS feeds.
On the other hand, Codecov provides the following key features:
- Beautiful Reports
- Pull Request Comments
- Interactive Commit Graphs
"Auto sync with Github" is the top reason why over 68 developers like Code Climate, while over 14 developers mention "More stable than coveralls" as the leading cause for choosing Codecov.
StackShare, Typeform, and thoughtbot are some of the popular companies that use Code Climate, whereas Codecov is used by Repro, ContentSquare, and Talkable. Code Climate has a broader approval, being mentioned in 144 company stacks & 48 developers stacks; compared to Codecov, which is listed in 49 company stacks and 29 developer stacks.
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 Code Climate
- Auto sync with Github71
- Simple grade system that motivates to keep code clean49
- Better coding45
- Free for open source30
- Hotspots for quick refactoring candidates21
- Continued encouragement to a have better / cleaner code15
- Great UI13
- Makes you a better coder11
- Duplication Detection10
- Safe and Secure5
- Extremely accurate in telling you the errors2
- GitHub only2
- Python inspection2
- Great open community2
- GitHub integration, status inline in PRs2
- Uses rubocop2
- Private2
- Locally Installable API1
Pros of Codecov
- More stable than coveralls17
- Easy setup17
- GitHub integration14
- They reply their users11
- Easy setup,great ui10
- Easily see per-commit coverage in GitHub5
- Steve is the man5
- Merges coverage from multiple CI jobs4
- Golang support4
- Free for public repositories3
- Code coverage3
- JSON in web hook3
- Newest Android SDK preinstalled3
- Cool diagrams2
- Bitbucket Integration1
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Cons of Code Climate
- Learning curve, static analysis comparable to eslint2
- Complains about small stylistic decisions1
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
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What is Code Climate?
What is Codecov?
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