Factual package intelligence from PyPI

aitutor-assessmentkit 0.1.8 package intelligence

AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large langua

pip install aitutor-assessmentkit

Current version
0.1.8
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
96.6 KiB
Release history
7 releases with files
Median release cadence
0 days

aitutor-assessmentkit dependencies

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

  1. numpy
  2. torch
  3. pandas
  4. tqdm
  5. scipy
  6. nltk
  7. transformers
  8. scikit-learn
  9. matplotlib
  10. seaborn
  11. bert-score
  12. clean-text
  13. datasets
  14. evaluate
  15. huggingface-hub
  16. llvmlite
  17. notebook
  18. openai

The compact report shows 18 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

aitutor-assessmentkit publishes 1 wheel and 1 source archive for version 0.1.8. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .