Factual package intelligence from PyPI
Experimentations in Time Series forecasting
pip install forecasting-sandbox
PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.0.8==1.0.6==2.4.0==0.11.0==4.1.3==4.38.0==0.18.0==2.2.4==0.17==1.4.4==0.3.1==0.0.9==3.6.2==21.3==0.5.3==9.3.0==1.1.1==0.5.11==3.0.9==2.8.2==0.12.2==2022.5==1.9.3The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.
forecasting-sandbox publishes 1 wheel and 0 source archives for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .