Feature extraction frame work for content-based music analysis
Project description
Apollon
Apollon is a Python framework for audio feature extraction and music similarity estimation. It includes subpackages for
- Audio feature extraction
- Hidden Markov Models
- Self-Organizing Map
1. Installation
1.1 Install from PyPI
The latest version of apollon is available on PyPI. Just open a terminal an run the following command to download and install apollon:
pip install apollon
We currently provide wheels for macOS and Windows; GNU/Linux users have to build apollon from source.
2. Documentation
Full documentation is available on readthedocs.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file apollon-0.1.4.tar.gz
.
File metadata
- Download URL: apollon-0.1.4.tar.gz
- Upload date:
- Size: 59.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 42b695c621c50109e8e6226e7661bca9cc28f001f5e42a46b3a83e42dcb83b7b |
|
MD5 | 092b5a406672f88bd7fa913ea471b0ec |
|
BLAKE2b-256 | 130887389d25b8a8436b0d0b8fc63147aa981e90bc7cb837b03336f2def70df3 |
File details
Details for the file apollon-0.1.4-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 84.5 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4880b238b4a7be8ee3a78c5f1a6eab3fc083d413c3730b62c05e807cf8737bd1 |
|
MD5 | f862b4ea7f0419326b0b3826529261ab |
|
BLAKE2b-256 | c1e1dbcb3e1517f4cbed141d47c46a6414aae35efdae44ed6e79c2fe89825624 |
File details
Details for the file apollon-0.1.4-cp311-cp311-macosx_10_9_universal2.whl
.
File metadata
- Download URL: apollon-0.1.4-cp311-cp311-macosx_10_9_universal2.whl
- Upload date:
- Size: 92.9 kB
- Tags: CPython 3.11, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 32abf7fc48b16931c3c5669c88ca28f0c4f03be0d45e7c74d92de131c7b252f2 |
|
MD5 | cd63f550a3ccc02004d408cd178e2237 |
|
BLAKE2b-256 | 8912ea1f49c3c37a2f7d1ff15423096437e9c35b14cec519699221ade05c957f |
File details
Details for the file apollon-0.1.4-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 84.5 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 799df183c2d38cbcaea12a1909cdf2986595e8906ae45b3fdee0f75c89156737 |
|
MD5 | 862db59ebbfdd704189e8b8e7c5661fc |
|
BLAKE2b-256 | 69baafb01c81b656ada1f660494e62c0666ed90fe3c1aad27d7cc70bfe448e99 |
File details
Details for the file apollon-0.1.4-cp310-cp310-macosx_11_0_x86_64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp310-cp310-macosx_11_0_x86_64.whl
- Upload date:
- Size: 80.5 kB
- Tags: CPython 3.10, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a2512a4518fe13ae4cb3435e2d4d8bfc9f6d11b041583957c5b31325ff4bdb0a |
|
MD5 | 933da840ffcfcb3df82ac9f721d31a64 |
|
BLAKE2b-256 | 96c293dff966dde8c873a9facfe5a2b19d292e33a7a4cadcd17ec5884f8c1cd2 |
File details
Details for the file apollon-0.1.4-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 84.5 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c378d61a282707c4e91397cec53d33365de93173c6b5633e901dab4a2f879f0e |
|
MD5 | aad149f0223f29efe5602ed57f7bf57d |
|
BLAKE2b-256 | cb39396c421dffd5b6830911e6347b9068d3ea629b8976816a61121efb1c3714 |
File details
Details for the file apollon-0.1.4-cp39-cp39-macosx_11_0_x86_64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp39-cp39-macosx_11_0_x86_64.whl
- Upload date:
- Size: 80.4 kB
- Tags: CPython 3.9, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b25b5e57915c772223303afbe30952e8ae38ad658f80900087017423d8bffc7 |
|
MD5 | d8c06eb62fabd8352992a31b967d21e8 |
|
BLAKE2b-256 | cc49dc79327ccd58d3c5847e133a2f4966e4d18fe0fb70610b402cb1e56850e1 |
File details
Details for the file apollon-0.1.4-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 84.5 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 284ddee3ea2ca2fb527fc1b5722bc978f3789b0942e439a4c580ee2c54fcc77a |
|
MD5 | cd879e722f6a815d546e159d722bce56 |
|
BLAKE2b-256 | 88a957e427b1078de003060c8d43cb06a9292065629e94629a34c4b890f2acd5 |
File details
Details for the file apollon-0.1.4-cp38-cp38-macosx_11_0_x86_64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp38-cp38-macosx_11_0_x86_64.whl
- Upload date:
- Size: 80.4 kB
- Tags: CPython 3.8, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 846aa0c41fb6541cb441a57c3c043a2ecd301aeef3c6332a64811be9cd8dd0b9 |
|
MD5 | e54f1b4a3852d82f70a1669011e58b15 |
|
BLAKE2b-256 | 223a5c875ca50677d7e011df387c5dd7bc8b2b9f32aa5d50bae3537339f12536 |
File details
Details for the file apollon-0.1.4-cp37-cp37m-win_amd64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 84.2 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b21327513ad556eb1fc1c711d27170c4c1e3cf829e610a5fbb9d234f418cf3bc |
|
MD5 | 01b791a0a08a59a085b4c5332eb75365 |
|
BLAKE2b-256 | fd3fc28959c050209279714ad61edd728a902901cd76098c077cc99a8443b756 |
File details
Details for the file apollon-0.1.4-cp37-cp37m-macosx_11_0_x86_64.whl
.
File metadata
- Download URL: apollon-0.1.4-cp37-cp37m-macosx_11_0_x86_64.whl
- Upload date:
- Size: 80.1 kB
- Tags: CPython 3.7m, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f95b3318513e404b9f6345e19ec299e2a74b30aa91230587079b7dde25071d6f |
|
MD5 | 6fdf1ea532d02cebcc7b3329395ca506 |
|
BLAKE2b-256 | c05c52f874547ed8d8a1a78205ac5fc0f7ff3de98da68778ecda54e103355728 |