Factual package intelligence from PyPI

forecast-clarify 0.1.1 package intelligence

Local sea surface temperature weekly forecasts based on local statistics (seasonal cycle, week-to-week persistence) and coarse-resolution dynamical forecasts

pip install forecast-clarify

Current version
0.1.1
Python requirement
>=3.6
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
35.3 MiB
Release history
3 releases with files
Median release cadence
1 days

forecast-clarify dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. requests
  4. xarray
  5. scikit-learn ==1.1.2

Compatibility and release files

forecast-clarify publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8.

Release activity and sources

PyPI lists 3 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 .