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Essentia is an open-source C++ library with Python bindings for audio analysis and audio-based music information retrieval. It contains an extensive collection of algorithms, including audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, a large variety of spectral, temporal, tonal, and high-level music descriptors, and tools for inference with deep learning models. Designed with a focus on optimization in terms of robustness, computational speed, low memory usage, as well as flexibility, it is efficient for many industrial applications and allows fast prototyping and setting up research experiments very rapidly.

Website: https://essentia.upf.edu

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Release files for essentia-tensorflow 2.1b6.dev374

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Table of built distributions (wheels) for essentia-tensorflow 2.1b6.dev374
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essentia_tensorflow-2.1b6.dev374-cp37-cp37m-manylinux2014_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details
essentia_tensorflow-2.1b6.dev374-cp36-cp36m-manylinux2014_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 Details
essentia_tensorflow-2.1b6.dev374-cp35-cp35m-manylinux2014_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.17+ x86-64 Details

Total release size: 1.1 GB

Release files / essentia_tensorflow-2.1b6.dev374-cp37-cp37m-manylinux2014_x86_64.whl

Download URL essentia_tensorflow-2.1b6.dev374-cp37-cp37m-manylinux2014_x86_64.whl
Size 382.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64
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Release files / essentia_tensorflow-2.1b6.dev374-cp36-cp36m-manylinux2014_x86_64.whl

Download URL essentia_tensorflow-2.1b6.dev374-cp36-cp36m-manylinux2014_x86_64.whl
Size 382.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64
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Release files / essentia_tensorflow-2.1b6.dev374-cp35-cp35m-manylinux2014_x86_64.whl

Download URL essentia_tensorflow-2.1b6.dev374-cp35-cp35m-manylinux2014_x86_64.whl
Size 382.1 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.17+ x86-64
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