SmarkDown VS SwiftyAttributes

Compare SmarkDown vs SwiftyAttributes and see what are their differences.

SmarkDown

A Pure Swift implementation of the markdown mark-up language (by SwiftStudies)
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SmarkDown SwiftyAttributes
- -
68 1,608
- -
0.0 5.5
about 8 years ago 4 months ago
Swift Swift
- 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.

SmarkDown

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

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

SwiftyAttributes

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

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

What are some alternatives?

When comparing SmarkDown and SwiftyAttributes you can also consider the following projects:

Format - A Swift Formatter Kit

SwiftyMarkdown - Converts Markdown files and strings into NSAttributedStrings with lots of customisation options.

MarkdownView - Markdown View for iOS.

SwiftRichString - 👩‍🎨 Elegant Attributed String composition in Swift sauce

PrediKit - An NSPredicate DSL for iOS, OSX, tvOS, & watchOS. Inspired by SnapKit and lovingly written in Swift.

BonMot - Beautiful, easy attributed strings in Swift

edhita - Fully open source text editor for iOS written in SwiftUI.

Markdown - Swift markdown library

Attributed - µframework for Attributed strings.

Mustard - 🌭 Mustard is a Swift library for tokenizing strings when splitting by whitespace doesn't cut it.