Factual package intelligence from PyPI

lightningnbeats 0.1.3 package intelligence

PyTorch Lightning implementation of N-BEATS time series forecasting, extended with wavelet basis expansion, autoencoder blocks, and bottleneck architectures beyond the original paper.

pip install lightningnbeats

Current version
0.1.3
Python requirement
<3.15,>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
158.5 MiB
Release history
4 releases with files
Median release cadence
4 days

lightningnbeats dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. lightning >=2.1.0
  2. matplotlib
  3. numpy
  4. pandas
  5. PyWavelets
  6. scipy
  7. seaborn
  8. tensorboard
  9. torch >=2.1.0
  10. tqdm
  11. ipykernel
  12. ipython
  13. statsmodels

Compatibility and release files

lightningnbeats publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13, 3.14.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .