Factual package intelligence from PyPI

jormungandr-ssm 0.0.1 package intelligence

Jormungandr is an novel end-to-end video object detection system that leverages the Spatial-Temporal Mamba architecture to accurately detect and track objects across video frames.

pip install jormungandr-ssm

Current version
0.0.1
Python requirement
>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.1 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

jormungandr-ssm dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. causal-conv1d >=1.5.2 when sys_platform == "linux"
  2. codecarbon >=3.0.5
  3. datasets >=4.6.1
  4. mamba-ssm >=2.2.5 when sys_platform == "linux"
  5. numpy >=2.0.0
  6. pandas >=2.3.3
  7. pillow >=12.1.1
  8. pycocotools >=2.0.11
  9. python-dotenv >=1.1.1
  10. scipy >=1.17.1
  11. supervision >=0.27.0.post1
  12. timm >=1.0.25
  13. torch >=2.8.0
  14. torchmetrics >=1.8.2
  15. torchvision >=0.21.0
  16. tqdm >=4.67.1
  17. wandb >=0.22.0

Compatibility and release files

jormungandr-ssm publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for jormungandr-ssm 0.0.1

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.

Metadata completeness

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

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 .

The project does not publish external project URLs in its PyPI metadata.