sktime/pytorch-forecasting

Health v2 · maintenance only

Adoption not part of the score

4977 stars · 896 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A PyTorch-based Python library for time series forecasting with state-of-the-art deep learning architectures. It provides a high-level API built on PyTorch Lightning for scaling training on GPU or CPU with automatic logging.

Use cases

• forecast future values of time series with deep learning
• train neural forecasting models on GPU
• predict demand or sales from historical time series
• quantify uncertainty in time series forecasts
• build LSTM or Transformer-based forecasting models in Python

When to choose

• you want a high-level API for deep learning time series forecasting in Python
• you need GPU-accelerated training with PyTorch Lightning
• you need probabilistic forecasts with uncertainty estimates
• you work with pandas DataFrames and want built-in preprocessing

When to avoid

• you need simple statistical forecasting like ARIMA or exponential smoothing
• you want a non-PyTorch deep learning stack
• you need classical machine learning baselines only

Facets

library · maturity active

machine-learning deep-learning data-science machine-learning data-science time-series artificial-intelligence python cross-platform time-series-forecasting pytorch pytorch-lightning neural-networks uncertainty-quantification temporal-data gpu

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