Package · PyPI
pytorch-forecasting
PyPI · v1.8.0 · MIT License
Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install pytorch-forecastingAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.61
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 7.4
- 44 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v1.8.0
- 44 versions
- First published
- JUL 3, 2020
- Last release
- JUN 24, 2026
- 4mo ago
- Licence
- MIT License
Repository
No repository is linked to this package. Its registry lists no source repository.
Dependencies latest version · v1.8.0
Runtime 7
- lightning
!=2.6.2,!=2.6.3,<2.7.0,>=2.0.0 - numpy
<=3.0.0 - pandas
<3.1.0,>=1.3.0 - scikit-base
<1.1.0 - scikit-learn
<2.0,>=1.2 - scipy
<2.0,>=1.8 - torch
!=2.0.1,<3.0.0,>=2.0.0
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Related news
No published news event mentions this package or its repository yet.