In the Crest catalog
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
- Stars
- 4.3K
- Forks
- 517
- Language
- Python
- Last push
- 22mo ago
- Last release
- 2y ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
neuralprophet
PyPI · v0.9.0 · MIT
NeuralProphet is an easy to learn framework for interpretable time series forecasting.
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 neuralprophetAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.26
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 9.3
- 33 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
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- 30 days
- Not published by PyPI
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- 90 days
- Not published by PyPI
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- 1 year
- Not published by PyPI
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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
- v0.9.0
- 33 versions
- First published
- DEC 4, 2020
- Last release
- JUN 26, 2024
- 2y ago
- Licence
- MIT
Repository
Dependencies latest version · v0.9.0
Runtime 12
- captum
>=0.6.0 - holidays
>=0.41 - kaleido
==0.2.1 - matplotlib
>=3.5.3 - numpy
<2.0.0,>=1.25.0 - pandas
>=2.0.0 - plotly
>=5.13.1 - pytorch-lightning
>=2.0.0 - tensorboard
>=2.11.2 - torch
>=2.0.0 - torchmetrics
>=1.0.0 - typing-extensions
>=4.5.0
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