Factual package intelligence from PyPI

rascpy 2026.4.2 package intelligence

The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensiona

pip install rascpy

Current version
2026.4.2
Python requirement
Not declared
License
Apache-2.0
Distribution type
Includes compiled wheel
Release files
18 (18 wheels, 0 source)
Download size
91.4 MiB
Release history
6 releases with files
Median release cadence
25 days

rascpy dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. psutil >=5.9.1
  2. pandas >=1.2.4
  3. scikit-learn >=0.24.2
  4. statsmodels >=0.12.2
  5. openpyxl >=3.0.4
  6. cryptography >=38.0.4
  7. matplotlib >=3.2.1
  8. ntplib >=0.4.0
  9. seaborn >=0.11.0
  10. flaml >=2.1.2
  11. cffi >=1.14.4
  12. jinja2 >=2.11.2
  13. pillow >=11.2.0
  14. requests >=2.24.0

Compatibility and release files

rascpy publishes 18 wheels and 0 source archives for version 2026.4.2. Wheel platform tags: macosx_10_13_universal2, macosx_10_15_universal2, macosx_10_9_universal2, manylinux2014_x86_64.manylinux_2_17_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

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 .