Skip to main content

Python bindings to libmusly for performing music similarity computation.

Project description

pymusly

Python bindings for libmusly to perform music similarity computation.

Installation

The library can be installed via pip:

$ pip install pymusly

Since the library requires libmusly, wheel packages contain a precompiled libmusly. When no wheel for the current platform is provided, the package needs to compile libmusly during installation. In this case you might need to install additional tools like cmake and ffmpeg development files.

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

pymusly-1.0.3.tar.gz (622.8 kB view details)

Uploaded Source

Built Distributions

pymusly-1.0.3-cp313-cp313-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.13 Windows x86-64

pymusly-1.0.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (250.3 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

pymusly-1.0.3-cp313-cp313-macosx_11_0_arm64.whl (202.4 kB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

pymusly-1.0.3-cp312-cp312-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.12 Windows x86-64

pymusly-1.0.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (250.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

pymusly-1.0.3-cp312-cp312-macosx_11_0_arm64.whl (202.3 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pymusly-1.0.3-cp311-cp311-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

pymusly-1.0.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (251.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

pymusly-1.0.3-cp311-cp311-macosx_11_0_arm64.whl (203.2 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pymusly-1.0.3-cp310-cp310-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

pymusly-1.0.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (249.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

pymusly-1.0.3-cp310-cp310-macosx_11_0_arm64.whl (201.7 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pymusly-1.0.3-cp39-cp39-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

pymusly-1.0.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (249.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

pymusly-1.0.3-cp39-cp39-macosx_11_0_arm64.whl (201.8 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

File details

Details for the file pymusly-1.0.3.tar.gz.

File metadata

  • Download URL: pymusly-1.0.3.tar.gz
  • Upload date:
  • Size: 622.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3.tar.gz
Algorithm Hash digest
SHA256 b879682444c505b9904f11bfdbda9f7a1053808fc84d31937431cffa23d65a70
MD5 44d2abbc5156f51c5ce374b661f68d64
BLAKE2b-256 f253a5725e468855b52ab0b817a324c6c01ac7a4f15df09e21dc06f1a4d48965

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pymusly-1.0.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 c111ac73140a67a21ad5d7f325606ca3377a62363cf5597501a52edbfd2e3cc2
MD5 b19eaef501d3a87b9dc937796fa12055
BLAKE2b-256 c13df9a76757103f8799b08542811bb1d79e725c0f3d85e0580aeb4da29d4c34

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4364d80b75b6e770f54308291279bc766062e879555deb096cb64ebecee56fbe
MD5 7e47d88756c57ea31a3f8503be991fd7
BLAKE2b-256 e80c945a2d3ae466540e92508061c40b35803004adba3a1521ab4d5248ccbf63

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f822f53f3c87d830e3e98df2674f020c5af409f5c6da424a9f0044698e8bd8cc
MD5 65a8fff4a28e60b838f29142c34c720c
BLAKE2b-256 3d48a548825d893217d67328ff7f5acc6d57aa3ba1fe828b2fe04b0e27d30bf8

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pymusly-1.0.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 fb1d5baee9c5f489827fbfcbd21620832ed6f48390bc7a9278f4796ff1864e52
MD5 1cf826f4ce9f41a4e4e60f8602c31d49
BLAKE2b-256 350c83abf51965b9e34a43d4df46bf005b958bb16ae48a4745b7e2752744c70e

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 09a9560bdd12db306334a7749ea1b83b9e7ce7df497f623d8ff86cad958aa87c
MD5 1b031cdfae7eb97abf7d1ebe5a38558a
BLAKE2b-256 617d273ef6b16da4a9c6311152835cd1266be6ff5c72b83826727c5ec7f6ea4a

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a6c33c58d05abbcc14d258f181eaaa014845b563dca98cacae0d1460bd148d63
MD5 0715cc2944b3109b45062b27e39e6232
BLAKE2b-256 fe0d09a1406fa1b3694e56e91644016228440160a14f34eee246166473c99840

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pymusly-1.0.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6e024bf71a298711ee72a7d91af563d14ae5c088548233119f6609544a228364
MD5 36ae9c77feb54633ca905b99bf5cf69c
BLAKE2b-256 3781f39fc5665ddf9b71f694d4902c816fec11a244b8f87dcb116ce322f5131e

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 71e5c377170bea716848e009f68817695c5ad1ec0c6a1845090a93c854f77088
MD5 6cb6364df4b343a822d842aff449ffe9
BLAKE2b-256 40fa9688fc091e0eaedcc19a0745e4fc47dc95d15a1e47f361bc77b6318fe0fe

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8a92ffa56acfd00df46eacf8f2b15b036f74a6dcdb7060da5ebeb7a792f530ae
MD5 799f24d83ec2e7900038d0e891ee0294
BLAKE2b-256 11f4f0d356103f0cbaf1338626882769d5de398143b4c4627bfec904b65ee9d5

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymusly-1.0.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 33c83cd079bcfee4fc5d4bc5a611d7660d6ab7ddf9b8682946608493920dc072
MD5 bda921ee5341bd2e55808a77bbf77f4d
BLAKE2b-256 07e99ad3acce69b2ef0435a7c1a87e9aab4d4f610ca01ead3e04f8d1bb9a07af

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4bf9dad05771c01c0c5835a0f28b071dfd825752c97be26e67e7e0bec205017c
MD5 51508cbbdff4c73ac042c60eb5ac14b7
BLAKE2b-256 6d9d8c0126fabbcf0bdda5ace44d8d77b90a4f9b6b373439071232c6ff1e633a

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e0795257046310d1c0a0a043180e89be2fbf3061b82b95ed339f7c4be9f40235
MD5 841bbaf7be7cedf554371b2885bc97b9
BLAKE2b-256 a21e997825d5d422ed738340d7240fd2020ac9e3dd21e1e241ae6ee372756957

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymusly-1.0.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pymusly-1.0.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 46d04759587cb3bb5e52f0d5c1a5aee8f1889c40cf2e46f447090598cd04fa50
MD5 fd92d5cac642b15c052249659c8a8778
BLAKE2b-256 bcba9ab7fcd40b666ad029423d798c7c16aeb664b859cebf06912d1e1c9f89bd

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0ba3bb43fb274c8874dc9cf1b820524a75859aec05f8f76292c0d7c08188a412
MD5 897c6e84f7f055f9616e459701f33518
BLAKE2b-256 8a273ceb7e80ab6aec076934322c20f6ee8e6883e46ef15ebe889ac43036c469

See more details on using hashes here.

File details

Details for the file pymusly-1.0.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pymusly-1.0.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 80e5cca31a14ed93409b907e33e530a30feaabc68b0c9884b68444ed2101217e
MD5 2d62386ecabbd2754ed4820ea443e88f
BLAKE2b-256 b29cef365b69a9c7a8697b7ffe0f9006494ec7ccf8279d043c7eabf3cad96d84

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page