Factual package intelligence from PyPI

tmseegpy 0.2.2 package intelligence

A pipeline for preprocessing and analyzing TMS-EEG data with a GUI developed using Streamlit

pip install tmseegpy

Current version
0.2.2
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
28.9 MiB
Release history
10 releases with files
Median release cadence
0 days

tmseegpy dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.0
  2. scipy >=1.12.0
  3. pandas >=2.0.0
  4. mne >=1.9.0
  5. mne-faster >=1.2
  6. mne-qt-browser
  7. mne-icalabel
  8. scikit-learn >=1.4.0
  9. tensorly >=0.8.0
  10. tensorflow
  11. matplotlib >=3.9.2
  12. seaborn >=0.12.0
  13. plotly >=5.13.0
  14. PyQt6 >=6.4.0
  15. PyQt6-Qt6
  16. PyQt6-sip
  17. pyqtgraph >=0.13.0
  18. streamlit >=1.24.0
  19. tqdm
  20. psutil
  21. construct
  22. appdirs
  23. ipykernel
  24. jupyter
  25. matplotlib-inline

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tmseegpy publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .