App Lab apps can be free or paid, with multiple easy installation options. That being said, Meta doesn’t curate App Lab content quite as strictly, so the quality can vary - App Lab content is sometimes still a work-in-progress, unstable or of generally lower quality than official store content. Quest users and developers can use App Lab as an easy way to distribute and install experimental VR content from outside the Oculus Store. However, App Lab gives Quest users and developers an alternate non-Store avenue for Quest content. The Oculus Store is the official avenue for discovering and installing apps on your headset, with developers submitting pitches to Meta to have their content available on the store. Since launch, the Quest platform has operated much like a console, with a strict curation policy. Hope this helps add to Serzan's excellent answer above.Meta (formerly Facebook) introduced App Lab in 2021 - a new method of app distribution, allowing you to easily install non-Oculus Store games and apps onto your Oculus Quest and Meta Quest 2 (formerly Oculus Quest 2) headset. It will pull all the necessary parts together as long as they are in the same folder. This is the file named .part.aa for the example used. Just select the first file in the series for extraction with 7-Zip. The final task is to untar the multi-part archive.
Each part will have an extension like .part.xx. This will split the archive into multiple parts each of size 50 Mb (or your preferred size setting). So add one more line of code to split files into manageable chunk sizes as follows: !split -b 50m .part. The resulting tarball is too large to download via browser. However, this course has individual files of size 100's of MB and folders with 100's of sample images. This produces a tarball which, if small enough, can be downloaded from the Jupyter notebook itself and unzipped using 7-Zip. Start with the following line of code as suggested in the post by Serzan Akhmetov above: !tar cvfz * Here's what I used to successfully download all assignments with the associated files and folders to my local Windows 10 PC. Along with the notebooks are folders with large files. The curriculum uses Jupyter Notebooks online. Andrew Ng's Deeplearning.ai program via Coursera.
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