stempeg | Python I/O for STEM audio files | Audio Utils library

by faroit Python Version: 0.2.3 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | stempeg Summary

stempeg is a Python library typically used in Telecommunications, Media, Media, Entertainment, Audio, Audio Utils applications. stempeg has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install stempeg' or download it from GitHub, PyPI.

Python package to read and write STEM audio files. Technically, stems are audio containers that combine multiple audio streams and metadata in a single audio file. This makes it ideal to playback multitrack audio, where users can select the audio sub-stream during playback (e.g. supported by VLC). Under the hood, stempeg uses ffmpeg for reading and writing multistream audio, optionally MP4Box is used to create STEM files that are compatible with Native Instruments hardware and software.

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Quality

Security

License

Reuse

Support

stempeg has a low active ecosystem.

It has 55 star(s) with 10 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 22 have been closed. On average issues are closed in 103 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stempeg is 0.2.3

Quality

stempeg has 0 bugs and 0 code smells.

Security

stempeg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

stempeg code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

stempeg is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

stempeg releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

stempeg saves you 186 person hours of effort in developing the same functionality from scratch.

It has 459 lines of code, 31 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed stempeg and discovered the below as its top functions. This is intended to give you an instant insight into stempeg implemented functionality, and help decide if they suit your requirements.

The main command line interface
Read stems from a file
Write stems
Read a FFmpeg file
Read stems from a stem file
List of audio streams
Return the sample rate at the given index
Returns ffmpeg version
Wait for all tasks to finish
Return the audio codec
Check for available audio codecs
Checks if ffmpeg is installed
Find the path to a command
Check if mp4Box exists
Return the duration of streams in the audio stream
Return the duration of the audio stream
List of all channels in the audio
Return the number of channels in the audio stream
Number of samples in the audio stream
Return the number of samples in the audio stream

Get all kandi verified functions for this library.

stempeg Key Features

No Key Features are available at this moment for stempeg.

stempeg Examples and Code Snippets

stempeg = stems + ffmpeg,Usage,Reading audio

Python

Lines of Code : 5

License : Permissive (MIT)

Copy

import stempeg
S, rate = stempeg.read_stems(stempeg.example_stem_path())

S, rate = stempeg.read_stems(stempeg.example_stem_path(), stem_id=[0, 1])

S, _ = stempeg.read_stems(stempeg.example_stem_path(), start=1, duration=1.5)
# read from second 1.0

stempeg = stems + ffmpeg,F.A.Q

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

file_path = stempeg.example_stem_path()
info = stempeg.Info(file_path)
S, _ = stempeg.read_stems(file_path, info=info)

stempeg = stems + ffmpeg,Usage,Writing audio

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

stempeg.write_audio(path="out.mp4", data=S, sample_rate=44100.0, output_sample_rate=48000.0, codec='aac', bitrate=256000)

stempeg.write_stems(path="output.stem.mp4", data=S, sample_rate=44100, writer=stempeg.StreamsWriter())

Community Discussions

Trending Discussions on stempeg

cannot instal soundfile in datalab

QUESTION

cannot instal soundfile in datalab

Asked 2018-Nov-30 at 19:19

i want install sndfile to successfully install another package (musdb), but when I tried following instructions on https://cloud.google.com/datalab/docs/how-to/adding-libraries

...

ANSWER

Answered 2018-Nov-30 at 19:19

Datalab comes with conda ready to use in Python 2 and 3 environments. This means you should be able to get what you need with the following:

Source https://stackoverflow.com/questions/53461012

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install stempeg

stempeg relies on ffmpeg (>= 3.2 is suggested).
MacOS: use homebrew: brew install ffmpeg --with-fdk-aac
Ubuntu/Debian Linux: See installation script here.
Docker: docker pull jrottenberg/ffmpeg
If you plan to write stem files with full compatibility with Native Instruments Traktor DJ hardware and software, you need to install MP4Box.
MacOS: use homebrew: brew install gpac
Ubuntu/Debian Linux: apt-get install gpac
A) Installation via PyPI using pip. B) Installation via conda.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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