Factual package intelligence from PyPI

spotforecast2 10.3.0 package intelligence

Forecasting with spot

pip install spotforecast2

Current version
10.3.0
Python requirement
>=3.13
License
AGPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
179.1 KiB
Release history
267 releases with files
Median release cadence
0 days

spotforecast2 dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. astral >=3.2
  2. catboost >=1.2
  3. entsoe-py >=0.7.10
  4. feature-engine >=1.9.3
  5. holidays >=0.90
  6. ipykernel >=7.1.0
  7. jinja2 >=3.1
  8. jupyter >=1.1.1
  9. kaleido >=1.0
  10. lightgbm >=4.6.0
  11. matplotlib >=3.10.8
  12. numba >=0.63.1
  13. optuna >=4.7.0
  14. pandas >=3.0.0
  15. plotly >=6.5.2
  16. pyarrow >=23.0.0
  17. pytest-cov >=7.0.0
  18. ruff >=0.15.6

The compact report shows 18 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

spotforecast2 publishes 1 wheel and 1 source archive for version 10.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for spotforecast2 10.3.0

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.

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 267 releases with files. The first dated release is ; 267 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.