mutagen
librosa
mutagen | librosa | |
---|---|---|
9 | 14 | |
3,346 | 6,699 | |
0.5% | 1.1% | |
7.7 | 7.2 | |
13 days ago | 23 days ago | |
Go | Python | |
GNU General Public License v3.0 or later | ISC License |
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.
mutagen
- GitHub - mutagen-io/mutagen: Fast file synchronization and network forwarding for remote development
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Show HN: Improve Docker Desktop Performance with Synchronized Filesystem Caches
Hey HN, I wanted to share a Docker Desktop extension that uses Mutagen (the open-source[0] file sync tool for developers) to improve bind mount performance in Docker Desktop. It allows you to create synchronized filesystem caches inside the Docker Desktop VM that can automatically replace bind mounts. This gives you ext4 filesystem performance inside the Docker Desktop VM, with low-latency synchronization to-and-from the host filesystem.
Docker themselves actually shipped this functionality in Docker Desktop back in 2020, but they decided to pivot back to virtual filesystems with gRPC FUSE and Virtiofs. While these work fairly well, there are still substantial gains to be had for workflows that are readdir(), stat(), read(), and write()-heavy. This includes things like package installs (e.g. npm and Composer), dynamic language runtimes (e.g. PHP or Node.js), and compiling code.
This new implementation is significantly more performant[1], offers a more detailed UI, and gives you the option of setting the user and group IDs for files sync'd into the VM. You can even create multiple caches of the same files with different UIDs/GIDs, allowing containers with different UIDs/GIDs to access the same files without permissions conflicts.
This extension is closed-source and requires a subscription for some functionality, but that money helps to support the corresponding open-source project.
I'd be keen to hear your feedback. There are a few minor limitations (mostly SDK limitations), but nothing too significant. The next step is probably going to be adding support for remote Docker engines, but I'd be interested to know if there are other pressing features that people would like to see.
Disclaimer: I am a Docker Captain, though this tool is not developed, sponsored, or endorsed by Docker, Inc.
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[0]: https://github.com/mutagen-io/mutagen
[1]: The Docker Desktop EULA prevents me from publishing benchmarks, but the performance difference will be the same as the difference between gRPC FUSE or Virtiofs and a "native" ext4 volume inside the VM. This will differ between hardware and virtualization frameworks. The best option is testing your own workflow.
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Fast file synchronization and network forwarding for remote development
I can't predict ultra far into the future (who can these days... :|), but Mutagen has been under active development for about 6 years now[0]. At the moment I have enough funding to work on it full-time until at least the middle of next year, though I also do Mutagen-related contracting and consulting work to support the project. Mutagen's Docker Desktop extension is going to be a freemium product designed to support the project more directly, which will hopefully allow development to continue indefinitely.
[0]: https://github.com/mutagen-io/mutagen/graphs/contributors
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Why does Docker SUCK so hard for local development?
It's pretty bad. The Docker for Mac team tested something called Mutagen to speed things up, but then removed it again, and the difference was drastic.
librosa
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Open Source Libraries
librosa/librosa: Python library for audio and music analysis
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A Cross-Platform library for audio spectrogram and feature extraction, support mobile real-time computing
How does this compare to mature libraries for other platforms like librosa?
- Precious Advices About AI-supported Audio Classification Model
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What are the common audio feature tool libraries in python?
I use librosa now. What other useful audio feature extraction libraries are there?
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Looking for a program that will examine a folder full of mp3s or flacs and list out ones with lower or higher than average volume
librosa can do that easily but I think there is an easier way to find what are you looking for:
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Get amplitude of every audio frame of .wav
I have a .wav file, and using python, I'd like to get a list of every audio frame where the amplitude is at the resting position. How could I achieve this? I think the librosa library could do such a thing, but I'm struggling to find exactly how to do it. Any help would be greatly appreciated, thank you.
- Show HN: I'm building a browser-based DAW
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AUDIO ANALYSIS WITH LIBROSA
Librosa is a Python package developed for music and audio analysis. It is specific on capturing the audio information to be transformed into a data block. However, the documentation and example are good to understand how to work with audio data science projects.
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AUDIO CLASSIFICATION USING DEEP LEARNING
Hello! welcome once again to the continuation of the last blog post about audio analysis using the Librosa python library, if you missed this article don't worry here you can enjoy audio analysis techniques with Librosa.
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DATA AUGMENTATION IN NATURAL LANGUAGE PROCESSING
Changing pitch of the audio:- in this technique python package for audio analysis like Librosa is the best tool to go with, by adding effect on the audio pitch to create new audio data.
What are some alternatives?
qobuz-dl - A complete Lossless and Hi-Res music downloader for Qobuz
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
eyeD3 - eyeD3 is a Python module and command line program for processing ID3 tags. Information about mp3 files (i.e bit rate, sample frequency, play time, etc.) is also provided. The formats supported are ID3v1 (1.0/1.1) and ID3v2 (2.3/2.4).
pydub - Manipulate audio with a simple and easy high level interface
m4b-mp3-chapters-from-cuesheets - merge audiobooks or podcasts without re-encoding (remuxing only) to single m4b with quicktime/nero chapters or mp3 with id3v2 chapters using cuesheets; also allows for renaming/editing chapters
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
tinytag - Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few more
kapre - kapre: Keras Audio Preprocessors
beets - music library manager and MusicBrainz tagger
deemix-foobar2000 - Converts foobar2000 corrupted text list to Deezer album URL with Deezer API.
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python