Factual package intelligence from PyPI

deep-time-series 0.1.2 package intelligence

Deep learning library for time series forecasting based on PyTorch.

pip install deep-time-series

Current version
0.1.2
Python requirement
>=3.10,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
27.0 KiB
Release history
2 releases with files
Median release cadence
20 days

deep-time-series dependencies

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

  1. torch >=2.0.0,<3.0.0
  2. torchvision >=0.15.1,<0.16.0
  3. torchaudio >=2.0.1,<3.0.0
  4. lightning >=2.0.0,<3.0.0
  5. numpy >=1.24.2,<2.0.0
  6. pandas >=1.5.3,<2.0.0
  7. matplotlib >=3.5.1,<4.0.0
  8. xarray >=2023.2.0,<2024.0.0
  9. rich >=13.3.2,<14.0.0
  10. scikit-learn >=1.2.2,<2.0.0

Compatibility and release files

deep-time-series publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Metadata completeness

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

Release activity and sources

PyPI lists 2 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 .

The project does not publish external project URLs in its PyPI metadata.