skforecast

Skforecast is a Python library for time series forecasting using statistical and machine learning models. It works with any estimator compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.

Version0.22.0
Downloads
2.95M
License
AuthorJoaquin Amat Rodrigo
UpdatedApr 23, 2026

Downloads

Weekly, last 90d.
Includes CI traffic.

VersionsTotal0.*
Range
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Granularity
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CI traffic
Stack: OffCI: Included2 / 33 series
Selected total578.45k
2.9MAll-time
92.1kLast 30 days
1.8kLast 24 h
0.04/sPer second

Version distribution

Share of downloads by released version. Computed over the last quarter.

  • 01

    0.18.0

    53.1k downloads
    18.4%
  • 02

    0.12.1

    42.2k downloads
    14.6%
  • 03

    0.21.0

    26.1k downloads
    9.0%
  • 04

    0.14.0

    22.3k downloads
    7.7%
  • 05

    0.13.0

    17.2k downloads
    5.9%
  • 06

    0.6.0

    17.1k downloads
    5.9%
  • 07

    0.20.1

    16.9k downloads
    5.8%
  • 08

    0.19.1

    14.4k downloads
    5.0%
  • 09

    Other

    80.0k downloads
    27.7%

Guess the next day

Thirteen recent days of skforecast downloads. Drag the green handle on the right to guess where day fourteen lands.

TRUTH1.8k3.6kSUNMONTUEWEDTHUFRISATSUNMONTUEWEDTHUFRI