Factual package intelligence from PyPI

ebm 1.1.0 package intelligence

EBM is a bottom-up model that forecast estimates how area, energy need, heating systems and yearly energy use in the Norwegian building stock towards 2050

pip install ebm

Current version
1.1.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.3 MiB
Release history
15 releases with files
Median release cadence
10 days

ebm dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. loguru
  2. numpy ==2.2.6
  3. openpyxl
  4. pandas ==2.2.3
  5. python-dotenv
  6. pandera ==0.20.4
  7. XlsxWriter
  8. pywin32 when platform_system == "Windows"
  9. polars ==1.31.0
  10. pyarrow ==20.0.0
  11. azure-identity ==1.23.0

The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ebm publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for ebm 1.1.0

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.

Release activity and sources

PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.