Factual package intelligence from PyPI

torchriver 2.0.1 package intelligence

River low-flow and drought forecasting with TorchRiver

pip install torchriver

Current version
2.0.1
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
53.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

torchriver dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.23
  2. pandas >=1.5
  3. torch >=2.0
  4. scikit-learn >=1.2
  5. joblib >=1.2
  6. matplotlib >=3.7
  7. gradio >=4.0
  8. opendatasets >=0.1.22
  9. kaggle >=1.6
  10. openpyxl >=3.1
  11. pyarrow >=12

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

torchriver publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Security snapshot for torchriver 2.0.1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 1 release 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 .