Factual package intelligence from PyPI

brain-pred-toolbox 2.3.2 package intelligence

The Brain Predictability toolbox (BPt) is a Python based machine learning library designed to work with a range of neuroimaging data. Warning: Not actively maintained as of 11/30/22.

pip install brain-pred-toolbox

Current version
2.3.2
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
494.8 KiB
Release history
20 releases with files
Median release cadence
27 days

brain-pred-toolbox dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn <1.1.4,>=1.1.0
  2. numpy <1.24,>=1.21
  3. scipy <2.0,>=1.2
  4. pandas <1.6,>=1.1.5
  5. matplotlib <3.7,>=3.2.2
  6. seaborn <0.13,>=0.9
  7. scikit-image >=0.16
  8. tqdm >=4.51
  9. nevergrad <0.6,>=0.5.0
  10. Ipython
  11. joblib <2,>=1
  12. loky
  13. threadpoolctl >=3

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

brain-pred-toolbox publishes 1 wheel and 1 source archive for version 2.3.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 20 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .