SwiftSpeech VS awesome-swiftui

Compare SwiftSpeech vs awesome-swiftui and see what are their differences.

SwiftSpeech

A speech recognition framework designed for SwiftUI. (by Cay-Zhang)

awesome-swiftui

🌮 Awesome resources, articles, libraries about SwiftUI (by onmyway133)
Our great sponsors
  • Appwrite - The Open Source Firebase alternative introduces iOS support
  • Scout APM - Truly a developer’s best friend
  • SonarLint - Clean code begins in your IDE with SonarLint
  • talent.io - Download talent.io’s Tech Salary Report
SwiftSpeech awesome-swiftui
1 1
273 439
- -
0.0 3.5
about 1 year ago 9 days ago
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.

SwiftSpeech

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

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

awesome-swiftui

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

We haven't tracked posts mentioning awesome-swiftui yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing SwiftSpeech and awesome-swiftui you can also consider the following projects:

Voice Overlay iOS - 🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

spokestack-ios - Spokestack: give your iOS app a voice interface!

Pigeon - Async state management for SwiftUI (and UIKit) 🐦

ios-repo-filtering - An example application build with Speechly iOS client