neuralforecast and pytorch-forecasting

These are complementary tools: NeuralForecast provides high-level forecasting algorithms with built-in neural network implementations, while PyTorch Forecasting offers lower-level PyTorch-based components for building custom time series models, allowing practitioners to use NeuralForecast for direct forecasting or PyTorch Forecasting for more granular control when implementing advanced architectures.

neuralforecast
91
Verified
pytorch-forecasting
70
Verified
Maintenance 20/25
Adoption 25/25
Maturity 25/25
Community 21/25
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 4,003
Forks: 483
Downloads: 258,535
Commits (30d): 18
Language: Python
License: Apache-2.0
Stars: 4,827
Forks: 832
Downloads:
Commits (30d): 13
Language: Python
License: MIT
No risk flags
No Package No Dependents

About neuralforecast

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

About pytorch-forecasting

sktime/pytorch-forecasting

Time series forecasting with PyTorch

Scores updated daily from GitHub, PyPI, and npm data. How scores work