Tsururu: A Python-based Time Series Forecasting Strategies Library

• URL: http://arxiv.org/abs/2509.15843v1
• Date: Fri, 19 Sep 2025 10:26:00 GMT
• Title: Tsururu: A Python-based Time Series Forecasting Strategies Library
• Abstract summary: Tsururu is a Python library that bridges SoTA research and industry.<n>It enables flexible combinations of global and multivariate approaches and multi-step-ahead forecasting strategies.
• Score: 37.84139339249633
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Python library introduced in this paper, bridges SoTA research and industry by enabling flexible combinations of global and multivariate approaches and multi-step-ahead forecasting strategies. It also enables seamless integration with various forecasting models. Available at https://github.com/sb-ai-lab/tsururu .

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