mutagen VS audiolazy

Compare mutagen vs audiolazy and see what are their differences.

audiolazy

Expressive Digital Signal Processing (DSP) package for Python (by danilobellini)
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mutagen audiolazy
8 -
1,445 678
1.0% -
7.2 0.0
about 1 month ago about 2 years ago
Python Python
GNU General Public License v3.0 only 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.

mutagen

Posts with mentions or reviews of mutagen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.

audiolazy

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

We haven't tracked posts mentioning audiolazy yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing mutagen and audiolazy you can also consider the following projects:

eyeD3

pyAcoustics - A collection of python scripts for extracting and analyzing acoustics from audio files.

tinytag - Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few more

dejavu - Audio fingerprinting and recognition in Python

pydub - Manipulate audio with a simple and easy high level interface

Prosodylab-Aligner - Python interface for forced audio alignment using HTK and SoX

beets - music library manager and MusicBrainz tagger

talkbox

mingus - Mingus is a music package for Python

qobuz-dl - A complete Lossless and Hi-Res music downloader for Qobuz

pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications