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.
skforecast has been downloaded 3,352,058 times in total on PyPI, including 138,347 in the last 30 days. The latest version is 0.22.0, released Apr 23, 2026.
Version0.22.0
Downloads
3.35M
License—
AuthorJoaquin Amat Rodrigo
Downloads
Weekly, last 90d.
Includes CI traffic.
VersionsTotal0.*
Range
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Granularity
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CI traffic
Stack: OffCI: Included2 / 37 series
Selected total724.96k
3.4MAll-time
138.3kLast 30 days
3.1kLast 24 h
0.03/sPer second
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Version distribution
Share of downloads by released version. Computed over the last quarter.
- 0136.0%
0.14.0
130.6k downloadsDownloads130.6k36.0% - 0212.5%
0.12.1
45.5k downloadsDownloads45.5k12.5% - 036.0%
0.22.0
21.7k downloadsDownloads21.7k6.0% - 045.8%
0.23.0
20.9k downloadsDownloads20.9k5.8% - 055.0%
0.18.0
18.1k downloadsDownloads18.1k5.0% - 063.6%
0.6.0
13.2k downloadsDownloads13.2k3.6% - 073.6%
0.19.1
13.1k downloadsDownloads13.1k3.6% - 083.5%
0.16.0
12.7k downloadsDownloads12.7k3.5% - 0923.9%
Other
86.8k downloadsDownloads86.8k23.9%
Guess the next day
Thirteen recent days of skforecast downloads. Drag the green handle on the right to guess where day fourteen lands.