ARVideoKit VS ARKit-CoreLocation

Compare ARVideoKit vs ARKit-CoreLocation and see what are their differences.

ARVideoKit

Capture & record ARKit videos 📹, photos 🌄, Live Photos 🎇, and GIFs 🎆. (by AFathi)

ARKit-CoreLocation

Combines the high accuracy of AR with the scale of GPS data. (by ProjectDent)
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ARVideoKit ARKit-CoreLocation
0 1
1,483 5,148
- -
0.4 1.8
12 months ago 3 months ago
Swift Swift
Apache License 2.0 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.

ARVideoKit

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

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

ARKit-CoreLocation

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

What are some alternatives?

When comparing ARVideoKit and ARKit-CoreLocation you can also consider the following projects:

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

ARKit-Navigation - ARKit Demo Application

ARVoxelKit - Voxel graphics framework using ARKit + SceneKit

ARCharts - Lovely Augmented Reality Charts for iOS - Built with ARKit

FaceTrigger - Easily use ARKit to detect facial gestures. FaceTrigger is a simple to use class that hides the details of using ARKit's ARSCNView to recognize facial gestures via ARFaceAnchor.BlendShapeLocations

Placenote - PlacenoteSDK Sample app in native iOS using ARKit, written primarily in Swift

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

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