ARHeadsetKit VS Bender

Compare ARHeadsetKit vs Bender and see what are their differences.

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ARHeadsetKit Bender
1 -
122 1,785
- 0.2%
2.4 3.4
10 months ago 6 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.

ARHeadsetKit

Posts with mentions or reviews of ARHeadsetKit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-06.

Bender

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

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

What are some alternatives?

When comparing ARHeadsetKit and Bender you can also consider the following projects:

Poly

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

ARKit-CoreLocation - Combines the high accuracy of AR with the scale of GPS data.

CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

ARVideoKit - Capture & record ARKit videos 📹, photos 🌄, Live Photos 🎇, and GIFs 🎆.

Tensorflow-iOS

SmileToUnlock - This library uses ARKit Face Tracking in order to catch user's smile.

DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

ARKit-Navigation - ARKit Demo Application

Caffe2

iOS 11 by Examples - 👨🏻‍💻 Examples of new iOS 11 APIs

AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms