MetricFu VS bundler-leak

Compare MetricFu vs bundler-leak and see what are their differences.

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MetricFu bundler-leak
1 -
621 284
0.3% 0.0%
0.0 0.0
about 2 months ago almost 2 years ago
Ruby Ruby
MIT License GNU General Public License v3.0 or later
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.

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.

bundler-leak

Posts with mentions or reviews of bundler-leak. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning bundler-leak yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing MetricFu and bundler-leak you can also consider the following projects:

Rubycritic - A Ruby code quality reporter

Coverband - Ruby production code coverage collection and reporting (line of code usage)

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

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

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

Pippi - pippi

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

Flog - Flog reports the most tortured code in an easy to read pain report. The higher the score, the more pain the code is in.