Factual package intelligence from PyPI

quant-invest-lab 0.2.11 package intelligence

Quant Invest Lab is a python package to help you to do some quantitative experiments, while trying to learn or build quantitative investment solutions. This project was initially my own set of functio

pip install quant-invest-lab

Current version
0.2.11
Python requirement
>=3.9,<3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
82.8 KiB
Release history
11 releases with files
Median release cadence
1 days

quant-invest-lab dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. beautifulsoup4 >=4.12.2,<5.0.0
  2. bokeh >=3.2.2,<4.0.0
  3. emd-signal >=1.4.0,<2.0.0
  4. fitter >=1.5.2,<2.0.0
  5. kucoin-python >=1.0.11,<2.0.0
  6. matplotlib >=3.7.1,<4.0.0
  7. nbformat >=5.8.0,<6.0.0
  8. numpy >=1.23.5,<2.0.0
  9. pandas >=1.5.3,<2.0.0
  10. plotly >=5.14.1,<6.0.0
  11. pywavelets >=1.4.1,<2.0.0
  12. scikit-learn >=1.2.2,<2.0.0

The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

quant-invest-lab publishes 1 wheel and 1 source archive for version 0.2.11. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .