Package profile

pytorch-forecasting

Summary: Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models
Author: Jan Beitner
Homepage:
Number of releases: 39
First release: 0.1.0 on 2020-07-03
Latest release: 1.4.0 on 2025-06-14

Pytorch-forecasting has 39 dependencies, 33 of which optional.

Dependencies of pytorch-forecasting (39).
Dependency	Optional
lightning	false
numpy	false
pandas	false
scikit-learn	false
scipy	false
torch	false
black	true
coverage	true
cpflows	true
docutils	true
invoke	true
ipykernel	true
ipywidgets	true
matplotlib	true
mypy	true
nbconvert	true
nbsphinx	true
networkx	true
optuna	true
optuna-integration	true
pandoc	true
pre-commit	true
pyarrow	true
pydata-sphinx-theme	true
pydocstyle	true
pylint	true
pytest	true
pytest-cov	true
pytest-dotenv	true
pytest-github-actions-annotate-failures	true
pytest-sugar	true
pytest-xdist	true
pytorch_optimizer	true
recommonmark	true
ruff	true
scikit-base	true
sphinx	true
statsmodels	true
tensorboard	true