VirtualGraspSDKDemos VS XRHackathon

Compare VirtualGraspSDKDemos vs XRHackathon and see what are their differences.

XRHackathon

Mixed Reality experience for Oculus Quest headsets. Load 3D models from Sketchfab using your voice. (by lvonasek)
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VirtualGraspSDKDemos XRHackathon
1 1
19 18
- -
1.4 2.6
about 1 year ago over 2 years ago
C# C#
MIT License GNU General Public License v3.0 only
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.

VirtualGraspSDKDemos

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

XRHackathon

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

What are some alternatives?

When comparing VirtualGraspSDKDemos and XRHackathon you can also consider the following projects:

MapsSDK-Unity - This repository contains samples, documentation, and supporting scripts for Maps SDK, a Microsoft Garage project.

OculusPassthroughDrone - Oculus Demos by using Oculus Quest Passthrough API, Unity, and DJI Tello

boundaries-interface - The goal of the game is to be a combination of dwarf fortress and roblox. To ethically define what the metaverse is. To be the backbone of internet real-estate.

skyline-patcher - Enables internal / debug features of the Oculus Desktop App

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.