Pronto VS MetricFu

Compare Pronto vs MetricFu and see what are their differences.

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Pronto MetricFu
4 1
2,591 621
0.4% 0.0%
4.4 0.0
18 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.

Pronto

Posts with mentions or reviews of Pronto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-06.

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 Pronto and MetricFu you can also consider the following projects:

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

Rubycritic - A Ruby code quality reporter

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

Brakeman - A static analysis security vulnerability scanner for Ruby on Rails applications

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

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.

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

rails_best_practices - a code metric tool for rails projects

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