Factual package intelligence from PyPI

pat2vec 0.3.4 package intelligence

A comprehensive Python package for healthcare data engineering, designed to extract, transform, and feature engineer patient data from CogStack-based electronic health record (EHR) datalakes. It provides tools for cohort building, batch data processing, clinical note analysis, an

pip install pat2vec

Current version
0.3.4
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
635.7 KiB
Release history
6 releases with files
Median release cadence
25 days

pat2vec dependencies

PyPI declares 49 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. medcat ==1.16.0
  2. paramiko
  3. colorama
  4. elasticsearch ==8.17.0
  5. eland ==8.17.0
  6. faker
  7. fuzzywuzzy
  8. seaborn
  9. rapidfuzz
  10. python-pptx
  11. ipykernel
  12. transformers ==4.48.1
  13. accelerate ==1.3.0
  14. peft ==0.8.2
  15. huggingface-hub ==0.27.1
  16. polars
  17. pandas >=1.5.3
  18. numpy >=1.25.2
  19. scikit-learn >=1.6.1
  20. sqlalchemy
  21. torch ==2.8.0
  22. psycopg2-binary

The compact report shows 25 of 49 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pat2vec publishes 1 wheel and 1 source archive for version 0.3.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .