MetricFu VS Flog

Compare MetricFu vs Flog and see what are their differences.

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. (by seattlerb)
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MetricFu Flog
1 6
621 907
0.3% 0.9%
0.0 5.5
2 months ago 7 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.

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.

Flog

Posts with mentions or reviews of Flog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

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

Rubycritic - A Ruby code quality reporter

Flay - Flay analyzes code for structural similarities. Differences in literal values, variable, class, method names, whitespace, programming style, braces vs do/end, etc are all ignored.

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

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

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

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

Cane - Code quality threshold checking as part of your build