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.
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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