skforecast and pytorch-forecasting

These are **complements**: skforecast provides a unified interface for fitting various ML models (scikit-learn, XGBoost, LightGBM) to time series, while pytorch-forecasting offers deep learning architectures (LSTM, Transformer, etc.) that can be integrated into skforecast's pipeline for neural network-based forecasting.

skforecast
93
Verified
pytorch-forecasting
70
Verified
Maintenance 25/25
Adoption 22/25
Maturity 25/25
Community 21/25
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 1,462
Forks: 184
Downloads: 98,347
Commits (30d): 62
Language: Python
License: BSD-3-Clause
Stars: 4,827
Forks: 832
Downloads:
Commits (30d): 13
Language: Python
License: MIT
No risk flags
No Package No Dependents

About skforecast

skforecast/skforecast

Time series forecasting with machine learning models

About pytorch-forecasting

sktime/pytorch-forecasting

Time series forecasting with PyTorch

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