https://github.com/web-dev-sam/deep-beat

Analyze custom beat saber maps without installing or playing them and see if they fit your playstyle and level.
https://github.com/web-dev-sam/deep-beat

beat-saber beatsaber

Last synced: 5 months ago
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Analyze custom beat saber maps without installing or playing them and see if they fit your playstyle and level.

• Host: GitHub
• URL: https://github.com/web-dev-sam/deep-beat
• Owner: web-dev-sam
• Created: 2021-04-17T21:40:54.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-01-22T10:16:51.000Z (almost 3 years ago)
• Last Synced: 2025-02-27T19:34:25.774Z (11 months ago)
• Topics: beat-saber, beatsaber
• Language: JavaScript
• Homepage: https://deepbeat.mindlabor.io/
• Size: 6.36 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


 




    

        

    

    
Deep Beat

    


        

Analyze custom BeatSaber maps without installing or playing them and see if they fit your playstyle, level and flow

    




 




    
Features



* You can analyse other maps by entering their bsr code

* You can analyse your own maps by uploading them

* Deep Beat provides you with general information about the map like uploader, duration, stars, nps, njs, etc...

* You can install, download and listen to the map in your browser

* Deep Beat estimates the frequency of some patterns like jumps and vision blockers and gives it a grade from low to very high

* You can also look how the nps, speed, wrist-heavyness and complexity develops over time


 




    
Demo Links



https://deep-beat.vercel.app/

https://deep-beat.vercel.app/map#13377

https://deep-beat.vercel.app/map#upload


 




    
Development



* Run `npm install`

* Run `cd dist && http-server` (assuming that you have installed http-server)

* Run `npx webpack` in another terminal session


 




    
Preview