Contents

audioflux 0.1.8

0

A library for audio and music analysis, feature extraction.

A library for audio and music analysis, feature extraction.

Stars: 2035, Watchers: 2035, Forks: 99, Open Issues: 10

The libAudioFlux/audioFlux repo was created 1 years ago and the last code push was 1 months ago.
The project is very popular with an impressive 2035 github stars!

How to Install audioflux

You can install audioflux using pip

pip install audioflux

or add it to a project with poetry

poetry add audioflux

Package Details

Author
audioflux
License
MIT
Homepage
https://audioflux.top
PyPi:
https://pypi.org/project/audioflux/
GitHub Repo:
https://github.com/libAudioFlux/audioFlux

Classifiers

No  audioflux  pypi packages just yet.

Errors

A list of common audioflux errors.

Code Examples

Here are some audioflux code examples and snippets.

GitHub Issues

The audioflux package has 10 open issues on GitHub

  • Can you support C?

See more issues on GitHub

Related Packages & Articles

pyAudioAnalysis 0.3.14

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

audiotools 0.1.0

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

pyo 1.0.5

Python module to build digital signal processing program.

mediapipe 0.10.11

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

flwr 1.8.0

Flower: A Friendly Federated Learning Framework

deeplake 3.9.0

Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.