FastAttributes VS Hanami::Utils

Compare FastAttributes vs Hanami::Utils and see what are their differences.

FastAttributes

FastAttributes adds attributes with their types to the class (by applift)
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FastAttributes Hanami::Utils
- 2
275 174
- 0.6%
0.0 5.1
about 5 years ago 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.

FastAttributes

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

We haven't tracked posts mentioning FastAttributes yet.
Tracking mentions began in Dec 2020.

Hanami::Utils

Posts with mentions or reviews of Hanami::Utils. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-01.

What are some alternatives?

When comparing FastAttributes and Hanami::Utils you can also consider the following projects:

ActiveAttr - What ActiveModel left out

Hashie - Hashie is a collection of classes and mixins that make Ruby hashes more powerful.

Virtus

ActiveSupport

Helix - Native Ruby extensions without fear

Addressable - Addressable is an alternative implementation to the URI implementation that is part of Ruby's standard library. It is flexible, offers heuristic parsing, and additionally provides extensive support for IRIs and URI templates.

regexp-examples - Generate strings that match a given regular expression

Lean::Attributes - define typed attributes on arbitrary Ruby classes

rutie - “The Tie Between Ruby and Rust.”

Array#collapse - :boom: Array#collapse