Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Forecast time series data using a library compatible with popular machine learning models.
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Free · no card · unsubscribe anytimePython library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
skforecast has 1.5k stars on GitHub. It has been forked 198 times. skforecast is written mainly in Python. It has been in active development since 2021. skforecast is available under the BSD-3-Clause license. Its main topics are arima, backtesting-forecasters, catboost, data-science.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
skforecast is an open-source project. It is released under the BSD-3-Clause license.
Yes. skforecast is free and open source — you can use, modify and self-host it.
skforecast is available under the BSD-3-Clause license.
skforecast is written mainly in Python.
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