Factual package intelligence from PyPI

subseasonal-toolkit 0.1.1 package intelligence

Models for subseasonal forecasting of temperature and precipitation 2-6 weeks in advance.

pip install subseasonal-toolkit

Current version
0.1.1
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
122.6 MiB
Release history
11 releases with files
Median release cadence
119 days

subseasonal-toolkit dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scikit-learn
  4. jupyter
  5. filelock
  6. catboost
  7. pyarrow
  8. ttictoc
  9. subseasonal-data
  10. poold
  11. torch
  12. nbeats-pytorch
  13. pytorch-lightning
  14. tables

Compatibility and release files

subseasonal-toolkit publishes 1 wheel and 1 source archive for version 0.1.1. 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 11 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .