https://pypi.org/project/pyforesight/ Recent updates to the Python Package Index for pyforesight en https://pypi.org/project/pyforesight/0.1.2/ Time series forecasting that picks its model by what would have worked: rolling-origin backtests, empirical intervals, ARIMA, ETS, Prophet, TBATS, STL and ensembles, in Rust. leite@castlab.org, marcos.wasiliew@gmail.com, hugo.vasconcelos@ufpe.br, carlos.agaf@ufpe.br, diogo.bezerra@ufpe.br Wed, 30 Sep 2026 13:13:05 GMT https://pypi.org/project/pyforesight/0.1.1/ Time series forecasting that picks its model by what would have worked: rolling-origin backtests, empirical intervals, ARIMA, ETS, Prophet, TBATS, STL and ensembles, in Rust. leite@castlab.org, marcos.wasiliew@gmail.com, hugo.vasconcelos@ufpe.br, carlos.agaf@ufpe.br, diogo.bezerra@ufpe.br Wed, 30 Sep 2026 12:34:36 GMT https://pypi.org/project/pyforesight/0.1.0/ Time series forecasting that picks its model by what would have worked: rolling-origin backtests, empirical intervals, ARIMA, ETS, Prophet, TBATS, STL and ensembles, in Rust. leite@castlab.org, marcos.wasiliew@gmail.com, hugo.vasconcelos@ufpe.br, carlos.agaf@ufpe.br, diogo.bezerra@ufpe.br Wed, 30 Sep 2026 02:35:41 GMT