Casimir VS DeTeXt

Compare Casimir vs DeTeXt and see what are their differences.

Casimir

Complex extension suite for Multiplatform  Stack (SwiftUI, Combine, SPM, Async/Await) (by przemek-jablonski)

DeTeXt

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater). (by venkatasg)
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Casimir DeTeXt
1 1
1 109
- -
3.9 6.9
9 months ago 3 months ago
Swift Swift
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.

Casimir

Posts with mentions or reviews of Casimir. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-14.

DeTeXt

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

What are some alternatives?

When comparing Casimir and DeTeXt you can also consider the following projects:

CombineExt - CombineExt provides a collection of operators, publishers and utilities for Combine, that are not provided by Apple themselves, but are common in other Reactive Frameworks and standards.

MakeItSo - This is the source code for Make It So, the sample app accompanying my blog post "Replicating the iOS Reminders App Using SwiftUI and Firebase"

AOperation - A Wrapper on NSOperation, which Makes using of NSOperation More Efficient

CombineCloudKit - 🌤 Swift Combine extensions for reactive CloudKit record processing

face-id - Finding similar faces on iOS device using keras-vggface ML model.

iowncode - A curated collection of iOS, ML, AR resources sprinkled with some UI additions