Coverband VS MetricFu

Compare Coverband vs MetricFu and see what are their differences.

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Coverband MetricFu
6 1
2,384 621
- 0.3%
8.3 0.0
4 days ago about 2 months ago
Ruby Ruby
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Coverband

Posts with mentions or reviews of Coverband. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-09.

MetricFu

Posts with mentions or reviews of MetricFu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-06.

What are some alternatives?

When comparing Coverband and MetricFu you can also consider the following projects:

SimpleCov - Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites

Rubycritic - A Ruby code quality reporter

Scientist - :microscope: A Ruby library for carefully refactoring critical paths.

Rubocop - A Ruby static code analyzer and formatter, based on the community Ruby style guide. [Moved to: https://github.com/rubocop/rubocop]

Reek - Code smell detector for Ruby

Pronto - Quick automated code review of your changes

bundler-leak - Known-leaky gems verification for bundler: `bundle leak` to check your app and find leaky gems in your Gemfile :gem::droplet:

Traceroute - A Rake task gem that helps you find the unused routes and controller actions for your Rails 3+ app

undercover - undercover warns about methods, classes and blocks that were changed without tests, to help you easily find untested code and reduce the number of bugs. It does so by analysing data from git diffs, code structure and SimpleCov coverage reports