Factual package intelligence from PyPI

meganorm 0.2.0 package intelligence

A Python package for normative modeling on large-scale EEG and MEG data.

pip install meganorm

Current version
0.2.0
Python requirement
>=3.12
License
GNU GPLv3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
294.7 KiB
Release history
3 releases with files
Median release cadence
210 days

meganorm dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0.2
  2. pandas >=2.3.3
  3. scipy >=1.17.1
  4. matplotlib >=3.10.9
  5. seaborn >=0.13.2
  6. plotly >=5.24.1
  7. scikit_learn >=1.8.0
  8. tqdm >=4.67.3
  9. mne >=1.12.1
  10. mne_bids >=0.18.0
  11. mne_icalabel >=0.7.0
  12. fooof >=1.1.0
  13. pcntoolkit >=1.3.0
  14. pyrasa >=1.1.1
  15. pydantic >=2.13.4
  16. kneed >=0.8.6
  17. gedai >=0.1.0
  18. autoreject >=0.4.3
  19. onnxruntime

Compatibility and release files

meganorm publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for meganorm 0.2.0

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.

Release activity and sources

PyPI lists 3 releases 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 preceding dated release was .