Factual package intelligence from PyPI

libiq 0.0.2 package intelligence

LibIQ is a unified Python library that provides tools for analyzing and manipulating IQ samples, along with time-series-based classification functionalities.

pip install libiq

Current version
0.0.2
Python requirement
<3.13,>=3.9
License
Apache-2.0
Distribution type
Includes compiled wheel
Release files
5 (4 wheels, 1 source)
Download size
8.4 MiB
Release history
2 releases with files
Median release cadence
3 days

libiq dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cython
  2. scikit-learn
  3. scipy
  4. h5py
  5. tensorflow
  6. tslearn
  7. yellowbrick
  8. pandas
  9. numpy
  10. pydot
  11. seaborn
  12. pytest

Compatibility and release files

libiq publishes 4 wheels and 1 source archive for version 0.0.2. Wheel platform tags: manylinux_2_24_x86_64.manylinux_2_28_x86_64.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .