Factual package intelligence from PyPI

scarse 1.0.0 package intelligence

A package for training SCARSE on small sample sizes of peptide sequences that can later be used to predict peptide properties of unseen peptides. Making SCARSE perfectly suited for AI-infused peptide engineering.

pip install scarse

Current version
1.0.0
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
33.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

scarse dependencies

PyPI declares 85 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. alembic ==1.18.4
  2. annotated-doc ==0.0.4
  3. anyio ==4.12.1
  4. asttokens ==3.0.1
  5. bottle ==0.13.4
  6. bottle-websocket ==0.2.9
  7. certifi ==2026.2.25
  8. cffi ==2.0.0
  9. click ==8.3.1
  10. colorama ==0.4.6
  11. colorlog ==6.10.1
  12. comm ==0.2.3
  13. debugpy ==1.8.20
  14. decorator ==5.2.1
  15. executing ==2.2.1
  16. filelock ==3.20.0
  17. fsspec ==2025.12.0
  18. future ==1.0.0
  19. gevent ==25.9.1
  20. gevent-websocket ==0.10.1
  21. greenlet ==3.3.2
  22. h11 ==0.16.0
  23. hf-xet ==1.3.2
  24. httpcore ==1.0.9
  25. httpx ==0.28.1

The compact report shows 25 of 85 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

scarse publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .