Swifter Twitter VS Cleanse

Compare Swifter Twitter vs Cleanse and see what are their differences.

Swifter Twitter

[DEPRECATED] :bird: A Twitter framework for iOS & OS X written in Swift (by mattdonnelly)


Lightweight Swift Dependency Injection Framework (by square)
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Swifter Twitter Cleanse
1 -
2,380 1,769
- 0.2%
0.0 0.0
almost 2 years ago about 1 year ago
Swift Swift
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.

Swifter Twitter

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


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

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

What are some alternatives?

When comparing Swifter Twitter and Cleanse you can also consider the following projects:

GithubPilot - Github API V3 Swifty Wrapper

Swinject - Dependency injection framework for Swift with iOS/macOS/Linux


Typhoon - Powerful dependency injection for Objective-C ✨✨ (https://PILGRIM.PH is the pure Swift successor to Typhoon!!)✨✨

Needle - Compile-time safe Swift dependency injection framework

Dip - Simple Swift Dependency container. Use protocols to resolve your dependencies and avoid singletons / sharedInstances!

PXGoogleDirections - Google Directions API helper for iOS, written in Swift

Swiftkube - Swift client for Kubernetes

Resolver - Swift Ultralight Dependency Injection / Service Locator framework