pytorch-forecasting and pyaf
PyTorch-Forecasting is a deep-learning-specific forecasting library built on PyTorch, providing advanced neural network models, whereas PyAF is a broader automatic time series forecasting library that leverages a range of statistical and machine learning methods, making them largely competitors but potentially complementary for hybrid approaches combining neural networks with traditional methods.
Maintenance
20/25
Adoption
10/25
Maturity
16/25
Community
24/25
Maintenance
10/25
Adoption
20/25
Maturity
25/25
Community
21/25
Stars: 4,827
Forks: 832
Downloads: —
Commits (30d): 13
Language: Python
License: MIT
Stars: 460
Forks: 73
Downloads: 19,972
Commits (30d): 0
Language: Python
License: BSD-3-Clause
No Package
No Dependents
No risk flags
About pytorch-forecasting
sktime/pytorch-forecasting
Time series forecasting with PyTorch
About pyaf
antoinecarme/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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