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.

pytorch-forecasting
70
Verified
pyaf
76
Verified
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
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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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