Package · PyPI

skforecast

PyPI · v0.26.0 · BSD-3-Clause

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models.

Install

pip install skforecast

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.79
DerivedRelease cadence and recency, 0 to 1
Releases per year
7.0
36 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
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30 days
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90 days
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1 year
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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
v0.26.0
36 versions
First published
AUG 5, 2021
Last release
OCT 8, 2026
16d ago
Licence
BSD-3-Clause

Repository

In the Crest catalog

skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Stars
1.5K
Forks
202
Language
Python
Last push
22d ago
Last release
43d ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.26.0

Runtime 9

  • joblib>=1.3
  • numba>=0.59
  • numpy>=1.26.1
  • optuna>=4.0
  • pandas<3.0,>=2.2
  • rich>=13.9
  • scikit-learn>=1.6
  • scipy>=1.12
  • tqdm>=4.66

Related news

No published news event mentions this package or its repository yet.