Factual package intelligence from PyPI

jump-reward-inference 0.0.8 package intelligence

A package for fast real-time music joint rhythmic parameters tracking including beats, downbeats, tempo and meter using the BeatNet AI, a super compact 1D state space and the jump back reward technique

pip install jump-reward-inference

Current version
0.0.8
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
19.5 KiB
Release history
6 releases with files
Median release cadence
5 days

jump-reward-inference dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. Cython
  3. librosa >=0.8.0
  4. numba ==0.54.1
  5. mido >=1.2.6
  6. pytest
  7. torch
  8. Matplotlib
  9. BeatNet >=0.0.4
  10. madmom

Compatibility and release files

jump-reward-inference publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .