Factual package intelligence from PyPI

lazyforecast 0.0.1 package intelligence

LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning.

pip install lazyforecast

Current version
0.0.1
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
16.7 KiB
Release history
2 releases with files
Median release cadence
32 days

lazyforecast dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ipython
  2. matplotlib
  3. numpy
  4. pandas
  5. pmdarima
  6. scikit-learn
  7. tensorflow
  8. tqdm

Compatibility and release files

lazyforecast publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.9.

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 .