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NeuralProphet is an easy to learn framework for interpretable time series forecasting.
pip install neuralprophet
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.25.0>=2.0.0>=2.0.0>=2.0.0>=2.11.2>=1.0.0>=4.5.0>=0.41>=0.6.0>=3.5.3>=5.13.1==0.2.1neuralprophet publishes 1 wheel and 1 source archive for version 0.9.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
PyPI lists 33 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 .