awesome-webaudio
A curated list of awesome WebAudio packages and resources. (by notthetup)
awesome-python-scientific-audio
Curated list of python software and packages related to scientific research in audio (by faroit)
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awesome-webaudio | awesome-python-scientific-audio | |
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1 | 2 | |
1,065 | 1,507 | |
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5.4 | 2.2 | |
3 months ago | 10 months ago | |
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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.
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.
awesome-webaudio
Posts with mentions or reviews of awesome-webaudio.
We have used some of these posts to build our list of alternatives
and similar projects.
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Hidden gems inside your browser, hiding in plain sight.
Plenty of apps on it, many of which push browsers to their absolute limits: https://github.com/notthetup/awesome-webaudio
awesome-python-scientific-audio
Posts with mentions or reviews of awesome-python-scientific-audio.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-01.
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I need to learn audio processing in Python.
Here is a great list awesome-python-scientific-audio. Many people dive into deep learning, while a lot of projects can be done with signal processing. I have used PyDub, Librosa, and PYO on a few non-deep learning projects, which are quite fun. Also, once you get your audio into python, play around with NumPy and create some of your own processes.
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How to recognize a sound
https://github.com/faroit/awesome-python-scientific-audio#readme
What are some alternatives?
When comparing awesome-webaudio and awesome-python-scientific-audio you can also consider the following projects:
awesome-music - Awesome Music Projects
awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources
awesome-audioqr - A curated list of Audio QR / NSDT libraries
fnf-shits - my fnf midis
mutagen
awesome-for-beginners - A list of awesome beginners-friendly projects.
awesome-nodejs - :zap: Delightful Node.js packages and resources
ddsp - DDSP: Differentiable Digital Signal Processing
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
awesome-cpp - A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-webaudio vs awesome-music
awesome-python-scientific-audio vs awesome-asyncio
awesome-webaudio vs awesome-audioqr
awesome-python-scientific-audio vs awesome-audioqr
awesome-webaudio vs fnf-shits
awesome-python-scientific-audio vs mutagen
awesome-webaudio vs awesome-for-beginners
awesome-python-scientific-audio vs awesome-music
awesome-webaudio vs awesome-nodejs
awesome-python-scientific-audio vs ddsp
awesome-webaudio vs awesome-interview-questions
awesome-webaudio vs awesome-cpp