Factual package intelligence from PyPI

stride-load-forecast 2.0.0 package intelligence

Python tool for assembling annual hourly electricity demand projections suitable for grid planning at the country-level.

pip install stride-load-forecast

Current version
2.0.0
Python requirement
<3.14,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
464.4 KiB
Release history
3 releases with files
Median release cadence
30 days

stride-load-forecast dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click
  2. dash-bootstrap-components >=2.0.3
  3. dash <5,>=4.0.0
  4. dbt-core <2,>=1.10.5
  5. dbt-duckdb
  6. dsgrid-toolkit <0.5.0,>=0.4.0
  7. duckdb <2,>=1.1
  8. loguru
  9. pandas <3,>=2.2
  10. plotly >=6.2.0
  11. pyarrow
  12. pydantic <3,>=2.7

The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

stride-load-forecast publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Metadata completeness

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

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 .